{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Online Retail Data Set\n",
"This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.\n",
"\n",
"Source: https://archive.ics.uci.edu/ml/datasets/online+retail\n",
"\n",
"The aim of this analysis is to use data science techniques to answer the following business questions and in so doing showcase my analytical and programming skills to solve business problems."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PART A\n",
"#### 1. Business Metrics\n",
" - Monthly Revenue\n",
" - Monthly Growth Rate\n",
" - Revenue by Country\n",
" - Monthly Active Customers\n",
" - Monthly Orders\n",
" - Average Revenue per Order\n",
" \n",
" \n",
"#### 2. Customer Metrics\n",
" - Dividing customers into types : New & Existing Customers\n",
" - Monthly Retention rate\n",
" - Churn rate\n",
" - Cohort-based retention rate\n",
"\n",
"\n",
"\n",
"### PART B\n",
"#### 3.1 Market Attribution Modelling\n",
"\n",
" - Markov Chain model\n",
" - First Touch attribution model\n",
" - Last Touch attribution model\n",
"\n",
"#### 3. 2. Comparison of number of conversions attributed to market attribution models\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"### PART C\n",
"#### 4.1 Customer Segmentation\n",
" - RFM Segmentation: Divide customers into segments\n",
"\n",
"#### 4.2 Recommendation\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"#### Import Packages"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from datetime import datetime, timedelta\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import seaborn as sns\n",
"from datetime import datetime as dt\n",
"from collections import defaultdict\n",
"import warnings\n",
"import random\n",
"from sklearn.cluster import KMeans\n",
"random.seed(123)\n",
"warnings.filterwarnings('ignore')\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PART A"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1. BUSINESS METRICS\n",
"\n",
"This section aims at using the combination of programming and data analysis to answer business questions on revenue, growth rate, average revenue per order, etc."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536365</td>\n",
" <td>85123A</td>\n",
" <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
" <td>6</td>\n",
" <td>12/1/2010 8:26</td>\n",
" <td>2.55</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536365</td>\n",
" <td>71053</td>\n",
" <td>WHITE METAL LANTERN</td>\n",
" <td>6</td>\n",
" <td>12/1/2010 8:26</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536365</td>\n",
" <td>84406B</td>\n",
" <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
" <td>8</td>\n",
" <td>12/1/2010 8:26</td>\n",
" <td>2.75</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536365</td>\n",
" <td>84029G</td>\n",
" <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
" <td>6</td>\n",
" <td>12/1/2010 8:26</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536365</td>\n",
" <td>84029E</td>\n",
" <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
" <td>6</td>\n",
" <td>12/1/2010 8:26</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \n",
"1 536365 71053 WHITE METAL LANTERN 6 \n",
"2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n",
"3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n",
"4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country \n",
"0 12/1/2010 8:26 2.55 17850.0 United Kingdom \n",
"1 12/1/2010 8:26 3.39 17850.0 United Kingdom \n",
"2 12/1/2010 8:26 2.75 17850.0 United Kingdom \n",
"3 12/1/2010 8:26 3.39 17850.0 United Kingdom \n",
"4 12/1/2010 8:26 3.39 17850.0 United Kingdom "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_data = pd.read_csv('OnlineRetail.csv',encoding = \"ISO-8859-1\")\n",
"tx_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"tx_data['InvoiceDate'] = pd.to_datetime(tx_data['InvoiceDate'])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" <th>InvoiceYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536365</td>\n",
" <td>85123A</td>\n",
" <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.55</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536365</td>\n",
" <td>71053</td>\n",
" <td>WHITE METAL LANTERN</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536365</td>\n",
" <td>84406B</td>\n",
" <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
" <td>8</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.75</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536365</td>\n",
" <td>84029G</td>\n",
" <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536365</td>\n",
" <td>84029E</td>\n",
" <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \n",
"1 536365 71053 WHITE METAL LANTERN 6 \n",
"2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n",
"3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n",
"4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country InvoiceYearMonth \n",
"0 2010-12-01 08:26:00 2.55 17850.0 United Kingdom 201012 \n",
"1 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 \n",
"2 2010-12-01 08:26:00 2.75 17850.0 United Kingdom 201012 \n",
"3 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 \n",
"4 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#tx_data['InvoiceYearMonth'] = [str(x) + str(y) + z for x, y, z in zip(tx_data['InvoiceDate'].dt.year, tx_data['InvoiceDate'].dt.month, tx_data['InvoiceDate'].dt.strftime('%b'))]\n",
"tx_data['InvoiceYearMonth'] = tx_data['InvoiceDate'].map(lambda date: 100*date.year + date.month)\n",
"tx_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"tx_data['Revenue'] = tx_data['UnitPrice'] * tx_data['Quantity']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.1 Monthly Revenue"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"InvoiceYearMonth\n",
"201012 748957.020\n",
"201101 560000.260\n",
"201102 498062.650\n",
"201103 683267.080\n",
"201104 493207.121\n",
"201105 723333.510\n",
"201106 691123.120\n",
"201107 681300.111\n",
"201108 682680.510\n",
"201109 1019687.622\n",
"201110 1070704.670\n",
"201111 1461756.250\n",
"201112 433668.010\n",
"Name: Revenue, dtype: float64"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_data.groupby('InvoiceYearMonth')['Revenue'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"tx_revenue = tx_data.groupby(['InvoiceYearMonth'])['Revenue'].sum().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>748957.020</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>560000.260</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201102</td>\n",
" <td>498062.650</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201103</td>\n",
" <td>683267.080</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201104</td>\n",
" <td>493207.121</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201105</td>\n",
" <td>723333.510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201106</td>\n",
" <td>691123.120</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201107</td>\n",
" <td>681300.111</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201108</td>\n",
" <td>682680.510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201109</td>\n",
" <td>1019687.622</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201110</td>\n",
" <td>1070704.670</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201111</td>\n",
" <td>1461756.250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201112</td>\n",
" <td>433668.010</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth Revenue\n",
"0 201012 748957.020\n",
"1 201101 560000.260\n",
"2 201102 498062.650\n",
"3 201103 683267.080\n",
"4 201104 493207.121\n",
"5 201105 723333.510\n",
"6 201106 691123.120\n",
"7 201107 681300.111\n",
"8 201108 682680.510\n",
"9 201109 1019687.622\n",
"10 201110 1070704.670\n",
"11 201111 1461756.250\n",
"12 201112 433668.010"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_revenue"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Monthly Revenue')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"tx_data['InvoiceYearMonth'] = tx_data['InvoiceYearMonth'].astype(str)\n",
"tx_revenue[\"InvoiceYearMonth\"] = tx_revenue[\"InvoiceYearMonth\"].astype(str)\n",
"#tx_revenue.plot(x='InvoiceYearMonth', y='Revenue', kind='line', ylim=[0,1500000], legend=False, figsize=(16,5))\n",
"plt.figure(figsize=(16,5),dpi=300)\n",
"#tx_revenue.plot.line(x='InvoiceYearMonth', y='Revenue',ylim=[0,1500000], legend=False,figsize=(16,5))\n",
"sns.lineplot(data=tx_revenue, x=\"InvoiceYearMonth\", y=\"Revenue\")\n",
"plt.title('Monthly Revenue')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.2 Monthly Growth Rate"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" <th>MonthlyGrowth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>748957.020</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>560000.260</td>\n",
" <td>-0.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201102</td>\n",
" <td>498062.650</td>\n",
" <td>-0.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201103</td>\n",
" <td>683267.080</td>\n",
" <td>0.37</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201104</td>\n",
" <td>493207.121</td>\n",
" <td>-0.28</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth Revenue MonthlyGrowth\n",
"0 201012 748957.020 NaN\n",
"1 201101 560000.260 -0.25\n",
"2 201102 498062.650 -0.11\n",
"3 201103 683267.080 0.37\n",
"4 201104 493207.121 -0.28"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_revenue['MonthlyGrowth'] = round(tx_revenue['Revenue'].pct_change(),2)\n",
"tx_revenue.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Monthly Growth Rate')"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#tx_revenue.plot(x='InvoiceYearMonth', y='MonthlyGrowth', kind='line', legend=False, figsize=(16,5))\n",
"plt.figure(figsize=(16,5),dpi=300)\n",
"#tx_revenue.plot.line(x='InvoiceYearMonth', y='Revenue',ylim=[0,1500000], legend=False,figsize=(16,5))\n",
"sns.lineplot(data=tx_revenue, x=\"InvoiceYearMonth\", y=\"MonthlyGrowth\")\n",
"#tx_revenue.plot.line(x='InvoiceYearMonth', y='MonthlyGrowth',legend=False, figsize=(16,5))\n",
"plt.ylabel('Growth Rate')\n",
"plt.title('Monthly Growth Rate')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We experienced lowest drop in revenue (28%) in April, 2011 and we need to identify what exactly happened. \n",
"\n",
"We ask questions such as: was it due to less active customers or our customers did less orders? Maybe they just started to buy cheaper products?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.3 Revenue by Country"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Country\n",
"United Kingdom 8187806\n",
"Netherlands 284661\n",
"EIRE 263276\n",
"Germany 221698\n",
"France 197403\n",
"Australia 137077\n",
"Switzerland 56385\n",
"Spain 54774\n",
"Belgium 40910\n",
"Sweden 36595\n",
"Japan 35340\n",
"Norway 35163\n",
"Portugal 29367\n",
"Finland 22326\n",
"Channel Islands 20086\n",
"Denmark 18768\n",
"Italy 16890\n",
"Cyprus 12946\n",
"Austria 10154\n",
"Hong Kong 10117\n",
"Singapore 9120\n",
"Israel 7907\n",
"Poland 7213\n",
"Unspecified 4749\n",
"Greece 4710\n",
"Iceland 4309\n",
"Canada 3666\n",
"Malta 2505\n",
"United Arab Emirates 1902\n",
"USA 1730\n",
"Lebanon 1693\n",
"Lithuania 1661\n",
"European Community 1291\n",
"Brazil 1143\n",
"RSA 1002\n",
"Czech Republic 707\n",
"Bahrain 548\n",
"Saudi Arabia 131\n",
"Name: Revenue, dtype: int64"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_data.groupby('Country')['Revenue'].sum().sort_values(ascending=False).astype(int)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Since majority of the revenue is from United Kingdom, i will focus on this country henceforth to make the analysis easy to follow."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536365</td>\n",
" <td>85123A</td>\n",
" <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.55</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>15.30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536365</td>\n",
" <td>71053</td>\n",
" <td>WHITE METAL LANTERN</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536365</td>\n",
" <td>84406B</td>\n",
" <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
" <td>8</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.75</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>22.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536365</td>\n",
" <td>84029G</td>\n",
" <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536365</td>\n",
" <td>84029E</td>\n",
" <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \n",
"1 536365 71053 WHITE METAL LANTERN 6 \n",
"2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n",
"3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n",
"4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country InvoiceYearMonth \\\n",
"0 2010-12-01 08:26:00 2.55 17850.0 United Kingdom 201012 \n",
"1 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 \n",
"2 2010-12-01 08:26:00 2.75 17850.0 United Kingdom 201012 \n",
"3 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 \n",
"4 2010-12-01 08:26:00 3.39 17850.0 United Kingdom 201012 \n",
"\n",
" Revenue \n",
"0 15.30 \n",
"1 20.34 \n",
"2 22.00 \n",
"3 20.34 \n",
"4 20.34 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk = tx_data[tx_data['Country'] == 'United Kingdom']\n",
"tx_uk.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Focus on sales from United Kingdom"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.4 Monthly Active Customers"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>NumberOfCustomers</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>871</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>684</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201102</td>\n",
" <td>714</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201103</td>\n",
" <td>923</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201104</td>\n",
" <td>817</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201105</td>\n",
" <td>985</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201106</td>\n",
" <td>943</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201107</td>\n",
" <td>899</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201108</td>\n",
" <td>867</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201109</td>\n",
" <td>1177</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201110</td>\n",
" <td>1285</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201111</td>\n",
" <td>1548</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201112</td>\n",
" <td>617</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth NumberOfCustomers\n",
"0 201012 871\n",
"1 201101 684\n",
"2 201102 714\n",
"3 201103 923\n",
"4 201104 817\n",
"5 201105 985\n",
"6 201106 943\n",
"7 201107 899\n",
"8 201108 867\n",
"9 201109 1177\n",
"10 201110 1285\n",
"11 201111 1548\n",
"12 201112 617"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_monthly_active = tx_uk.groupby('InvoiceYearMonth')['CustomerID'].nunique().reset_index()\n",
"tx_monthly_active.columns = ['InvoiceYearMonth', 'NumberOfCustomers']\n",
"tx_monthly_active"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In April, Monthly Active Customer number dropped to 817 from 923 (-11.5%)."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, '# of customers')"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#tx_monthly_active.plot(x='InvoiceYearMonth', y='NumberOfCustomers',kind='bar',figsize=(16,5), legend=False)\n",
"#plt.title('Number of Monthly Active Customers')\n",
"\n",
"plt.figure(figsize=[16,5],dpi = 300)\n",
"plt.title('Number of Monthly Active Customers')\n",
"sns.barplot(x='InvoiceYearMonth', y='NumberOfCustomers', data=tx_monthly_active, palette=\"Greys\")\n",
"plt.ylabel('# of customers')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.5 Monthly Orders"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>NumberOfOrders</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>1885</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>1327</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201102</td>\n",
" <td>1259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201103</td>\n",
" <td>1802</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201104</td>\n",
" <td>1622</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201105</td>\n",
" <td>1973</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201106</td>\n",
" <td>1830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201107</td>\n",
" <td>1764</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201108</td>\n",
" <td>1546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201109</td>\n",
" <td>2090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201110</td>\n",
" <td>2361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201111</td>\n",
" <td>3113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201112</td>\n",
" <td>922</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth NumberOfOrders\n",
"0 201012 1885\n",
"1 201101 1327\n",
"2 201102 1259\n",
"3 201103 1802\n",
"4 201104 1622\n",
"5 201105 1973\n",
"6 201106 1830\n",
"7 201107 1764\n",
"8 201108 1546\n",
"9 201109 2090\n",
"10 201110 2361\n",
"11 201111 3113\n",
"12 201112 922"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_monthly_orders = tx_uk.groupby('InvoiceYearMonth')['InvoiceNo'].nunique().reset_index()\n",
"tx_monthly_orders.columns = ['InvoiceYearMonth', 'NumberOfOrders']\n",
"tx_monthly_orders"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As we expected, Number of Orders also declined in April (1802 to 1622, about 10% decrease.)\n",
"We know that Number of Active Customer directly affected Number of Orders decrease. At the end, we should definitely check our Average Revenue per Order as well."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Number of orders')"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#tx_monthly_orders.plot(x='InvoiceYearMonth', y='NumberOfOrders',kind='bar',figsize=(16,5), legend=False)\n",
"#plt.title('Number of Monthly Orders')\n",
"plt.figure(figsize=[16,5],dpi = 300)\n",
"plt.title('Number of Monthly Orders')\n",
"sns.barplot(x='InvoiceYearMonth', y='NumberOfOrders', data=tx_monthly_orders, palette=\"Oranges\")\n",
"plt.ylabel('Number of orders')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.6 Monthly Average Revenue per Order"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"tx_uk_monthly = tx_uk.groupby('InvoiceYearMonth')['Revenue'].sum().reset_index()\n",
"tx_monthly_order_avg = tx_uk_monthly.merge(tx_monthly_orders, on='InvoiceYearMonth', how='inner')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" <th>NumberOfOrders</th>\n",
" <th>AverageMonthlyRevenuePerOrder</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>676742.620</td>\n",
" <td>1885</td>\n",
" <td>359.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>434308.300</td>\n",
" <td>1327</td>\n",
" <td>327.29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201102</td>\n",
" <td>408247.910</td>\n",
" <td>1259</td>\n",
" <td>324.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201103</td>\n",
" <td>559707.390</td>\n",
" <td>1802</td>\n",
" <td>310.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201104</td>\n",
" <td>442254.041</td>\n",
" <td>1622</td>\n",
" <td>272.66</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201105</td>\n",
" <td>596459.860</td>\n",
" <td>1973</td>\n",
" <td>302.31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201106</td>\n",
" <td>554478.350</td>\n",
" <td>1830</td>\n",
" <td>302.99</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201107</td>\n",
" <td>565479.841</td>\n",
" <td>1764</td>\n",
" <td>320.57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201108</td>\n",
" <td>539130.500</td>\n",
" <td>1546</td>\n",
" <td>348.73</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201109</td>\n",
" <td>862018.152</td>\n",
" <td>2090</td>\n",
" <td>412.45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201110</td>\n",
" <td>877438.190</td>\n",
" <td>2361</td>\n",
" <td>371.64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201111</td>\n",
" <td>1282805.780</td>\n",
" <td>3113</td>\n",
" <td>412.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201112</td>\n",
" <td>388735.430</td>\n",
" <td>922</td>\n",
" <td>421.62</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth Revenue NumberOfOrders \\\n",
"0 201012 676742.620 1885 \n",
"1 201101 434308.300 1327 \n",
"2 201102 408247.910 1259 \n",
"3 201103 559707.390 1802 \n",
"4 201104 442254.041 1622 \n",
"5 201105 596459.860 1973 \n",
"6 201106 554478.350 1830 \n",
"7 201107 565479.841 1764 \n",
"8 201108 539130.500 1546 \n",
"9 201109 862018.152 2090 \n",
"10 201110 877438.190 2361 \n",
"11 201111 1282805.780 3113 \n",
"12 201112 388735.430 922 \n",
"\n",
" AverageMonthlyRevenuePerOrder \n",
"0 359.01 \n",
"1 327.29 \n",
"2 324.26 \n",
"3 310.60 \n",
"4 272.66 \n",
"5 302.31 \n",
"6 302.99 \n",
"7 320.57 \n",
"8 348.73 \n",
"9 412.45 \n",
"10 371.64 \n",
"11 412.08 \n",
"12 421.62 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_monthly_order_avg['AverageMonthlyRevenuePerOrder'] = round(tx_monthly_order_avg['Revenue']/tx_monthly_order_avg['NumberOfOrders'],2)\n",
"tx_monthly_order_avg"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Even the monthly average revenue per order dropped for April (310 to 272)."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Average Revenue')"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=[16,5],dpi = 300)\n",
"plt.title('Monthly Average Revenue per Order')\n",
"sns.barplot(x='InvoiceYearMonth', y='AverageMonthlyRevenuePerOrder', data=tx_monthly_order_avg, palette=\"Blues_d\")\n",
"plt.ylabel('Average Revenue')\n",
"#sns.catplot(x='InvoiceYearMonth', y='AverageMonthlyRevenuePerOrder', kind=\"bar\", data=tx_monthly_order_avg)\n",
"#tx_monthly_order_avg.plot(x='InvoiceYearMonth', y='AverageMonthlyRevenuePerOrder',kind='bar',figsize=(16,5), legend=False)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2. CUSTOMER METRICS\n",
"\n",
"In this section, we are concerned about types of customers such as First-time and Returning Customers: their monthly number, revenue and so on."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"tx_min_purchase = tx_uk.groupby('CustomerID').InvoiceDate.min().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"tx_min_purchase.columns = ['CustomerID','MinPurchaseDate']"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"tx_min_purchase['MinPurchaseYearMonth'] = tx_min_purchase['MinPurchaseDate'].map(lambda date: 100*date.year + date.month)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"tx_uk = pd.merge(tx_uk, tx_min_purchase, on='CustomerID')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"tx_uk['UserType'] = 'First-time'\n",
"tx_uk['InvoiceYearMonth'] = tx_uk['InvoiceYearMonth'].astype(int)\n",
"tx_uk.loc[tx_uk['InvoiceYearMonth']>tx_uk['MinPurchaseYearMonth'],'UserType'] = 'Returning'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.1 Number of customers by type"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"UserType\n",
"First-time 3950\n",
"Returning 2530\n",
"Name: CustomerID, dtype: int64"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.groupby('UserType')['CustomerID'].nunique()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" <th>UserType</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536365</td>\n",
" <td>85123A</td>\n",
" <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.55</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>15.30</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536365</td>\n",
" <td>71053</td>\n",
" <td>WHITE METAL LANTERN</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536365</td>\n",
" <td>84406B</td>\n",
" <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
" <td>8</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.75</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>22.00</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536365</td>\n",
" <td>84029G</td>\n",
" <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536365</td>\n",
" <td>84029E</td>\n",
" <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \n",
"1 536365 71053 WHITE METAL LANTERN 6 \n",
"2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n",
"3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n",
"4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country \\\n",
"0 2010-12-01 08:26:00 2.55 17850.0 United Kingdom \n",
"1 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"2 2010-12-01 08:26:00 2.75 17850.0 United Kingdom \n",
"3 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"4 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"\n",
" InvoiceYearMonth Revenue MinPurchaseDate MinPurchaseYearMonth \\\n",
"0 201012 15.30 2010-12-01 08:26:00 201012 \n",
"1 201012 20.34 2010-12-01 08:26:00 201012 \n",
"2 201012 22.00 2010-12-01 08:26:00 201012 \n",
"3 201012 20.34 2010-12-01 08:26:00 201012 \n",
"4 201012 20.34 2010-12-01 08:26:00 201012 \n",
"\n",
" UserType \n",
"0 First-time \n",
"1 First-time \n",
"2 First-time \n",
"3 First-time \n",
"4 First-time "
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.head()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"tx_user_type_revenue = tx_uk.groupby(['InvoiceYearMonth','UserType'])['Revenue'].sum().reset_index()\n",
"tx_user_type_revenue['InvoiceYearMonth'] = tx_user_type_revenue['InvoiceYearMonth'].astype(str)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.2 Revenue per month for new and existing customers"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>UserType</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" <td>483799.740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201101</td>\n",
" <td>First-time</td>\n",
" <td>156705.770</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201101</td>\n",
" <td>Returning</td>\n",
" <td>195275.510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201102</td>\n",
" <td>First-time</td>\n",
" <td>127859.000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201102</td>\n",
" <td>Returning</td>\n",
" <td>220994.630</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201103</td>\n",
" <td>First-time</td>\n",
" <td>160567.840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201103</td>\n",
" <td>Returning</td>\n",
" <td>296350.030</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201104</td>\n",
" <td>First-time</td>\n",
" <td>108517.751</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201104</td>\n",
" <td>Returning</td>\n",
" <td>268226.660</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201105</td>\n",
" <td>First-time</td>\n",
" <td>90847.490</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201105</td>\n",
" <td>Returning</td>\n",
" <td>434725.860</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201106</td>\n",
" <td>First-time</td>\n",
" <td>64479.190</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>201106</td>\n",
" <td>Returning</td>\n",
" <td>408030.060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>201107</td>\n",
" <td>First-time</td>\n",
" <td>53453.991</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>201107</td>\n",
" <td>Returning</td>\n",
" <td>407693.610</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>201108</td>\n",
" <td>First-time</td>\n",
" <td>55619.480</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>201108</td>\n",
" <td>Returning</td>\n",
" <td>421388.930</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>201109</td>\n",
" <td>First-time</td>\n",
" <td>135667.941</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>201109</td>\n",
" <td>Returning</td>\n",
" <td>640861.901</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>201110</td>\n",
" <td>First-time</td>\n",
" <td>133940.280</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>201110</td>\n",
" <td>Returning</td>\n",
" <td>648837.600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>201111</td>\n",
" <td>First-time</td>\n",
" <td>117153.750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>201111</td>\n",
" <td>Returning</td>\n",
" <td>838955.910</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" <td>24447.810</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>201112</td>\n",
" <td>Returning</td>\n",
" <td>273472.660</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth UserType Revenue\n",
"0 201012 First-time 483799.740\n",
"1 201101 First-time 156705.770\n",
"2 201101 Returning 195275.510\n",
"3 201102 First-time 127859.000\n",
"4 201102 Returning 220994.630\n",
"5 201103 First-time 160567.840\n",
"6 201103 Returning 296350.030\n",
"7 201104 First-time 108517.751\n",
"8 201104 Returning 268226.660\n",
"9 201105 First-time 90847.490\n",
"10 201105 Returning 434725.860\n",
"11 201106 First-time 64479.190\n",
"12 201106 Returning 408030.060\n",
"13 201107 First-time 53453.991\n",
"14 201107 Returning 407693.610\n",
"15 201108 First-time 55619.480\n",
"16 201108 Returning 421388.930\n",
"17 201109 First-time 135667.941\n",
"18 201109 Returning 640861.901\n",
"19 201110 First-time 133940.280\n",
"20 201110 Returning 648837.600\n",
"21 201111 First-time 117153.750\n",
"22 201111 Returning 838955.910\n",
"23 201112 First-time 24447.810\n",
"24 201112 Returning 273472.660"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user_type_revenue.query(\"InvoiceYearMonth != 201012 and InvoiceYearMonth != 201112\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Monthly Revenue for First-time and Returning Customers')"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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/KdUcQKpyXVh4LR9dY5urgc9m5pWN7EONtvr9bweVwRX2oXgu2Zbqn+F9wKU12t6N4u+3b6PG/U9p+yeBKykGT/xrOwY+kCRJkiRJ0uKj6g9jJEmSJEmSJEmq02kUM44utFlEbFlPxYhYGXhHqfikVgUWEStExFnAdcDedJPcXrEaxY9U74qIn1V+tNqKOEZHxAkUP+x9K93/bX5jivf0n5UkugEnIj4A3AV8gtrJ7VDMmPVJ4J6IeEMfhnQcUJ4N7bBetnkQXRMNft3LNtuh2g+my7NldisixkfEL4B7KH703l2yHBQzlL0V+EdEXF6Z+bGmSnLaGaXizSsJZr2xf2n5KeCCeipGxH4UP/7+ObAjPQ8QvTFFgvmDEbFXg3HWimFInSfqMRDe9/4SEUtWEqTuoDjfdJfcDsWAEPsCN0TE7yJi2RbFMTYizgX+QZFgVS25XRURsS1wJ/Bdej43lutOqtQ9lvqS26FIVNkQOAS4kOIzUotFxKiIOJHiPd6Z2uff4RSJUzdFxD5V2lmN4hx+CrWT26FIEjyU4n6znPDbSNx9er1utYj4AcWMsKcBH6Hn5HYo3vOtgBOAByJixxbGM6wySNL1wAfoPrnrNRTf3WsrgyA1098SlePsEuDtdH/Nex1FMuElEdFUEvgA1Ip71FUj4nTgZoqBV7pLbgcYC7wfuDoi/hwRPT0LLnYiYn3gRuBX1E5ub6S9iRSfz0+ondwOxXPWbsCtEfGx3vbbWxFxBMUM7ZOpndwORSLzN4DbK+9dM32NqdzzX04xMEnV5PaK9SjOPddHREP3HS12QJWyU/t6wKmBKArfBG6jGMShnuR2gCUonne+TTFwUb+pPEfdB/wAeD21k9uhuFbtCPwWuCUi3tTCOHanuDc+nBrJ7RWvBU6NiN+X/0ZX+Ty+RnEe+yA1ktsrtgMuj4gv9TLufn+Grfwt9VLgdOANdP8ZluuuFRGXAX8E3k0dye0Vq1G8x6dRDM4hSZIkSZIktYwJ7pIkSZIkSZKkpmXm88BfS8XVfgBdzf50/jHo9Zl5WyviqvwA/CqKGakanQ5+JMWPlf/V2yTCKGZrPZ9iVrxG7EqRgDSgkg0rCQjnUCSv12t54KIWJDBXlZlPAH8uFe9e+dFvw6KYffWQUvEDwL+aaa/NlqlSVvfMWhHxGopZuY6g/h86d7QDcF0dAxpUm/2y3vNGFxHxRmCDUvGpPc0wV0lu+ynFj7TXbKLrFYGzIuIbTdTtGMeQOk/0ZKC87/2lkqz4b4qBOHpKiOhSnWJ26Ct6m5xaGRzhYorETvWgktBzKfUl5ZbrvpNixs61WxyWeikiRgB/ohhool6jgd9FxKJBmirfxyuARhK/VgT+HcVsyA1p4/W6lbahSLJv1hrAxRHx4d4GUrnXO5VittdGrqFbAP+JiLEN9rcExfPSQTT2XLJTpb+WDGrSz5apUtbIPepmFIOW7Uvjz3YA7wOuiWLWZQERsSFwNbBJi9rbmuL5e8MGqg0Hfh0RB7cihmZExHeAX9DY+WkCxb3Y6g32tfBc8FEaO443Ba5s5nrRWxGxMbBulVXHtzuWAeIUimtHdwMTDFgR8VXgLKChY7diIsXfyPZtQRwfAs6l+wETyz5IhwExIyIoBsD5BvVfywP4dkQc2UC/C/sbEM+wEbEKxbm24cEGKueQRu9XJUmSJEmSpD7X6I8mJEmSJEmSJEkqO4nOCXL7RsTRmTm7h3rlhNaWzN5emVnxCqrPiPs4xUxFdwHTgJUoZtncjSIRu6MdKRKz31jHvtRyEsVsoAvdQ5HIenel/6UpkmU+QNfZv94EfAr4UY22XwZu6bBcni30GeDpHuJ7sof1Hb2D4sf/C3+M/yLFbKdXUczIOYzix/7vBrYt1V0KODkits7M8mzrrfALYI8OyyMpkoi+00Rb76DrjIPHZWY2F1pbVZsJ9sF6KlaS5a6l+ix011Ek0t0DvEDxg/5VgTdSvF8dZ0pbGfh7RGyZmY9U6yszb4qIm4HNOxQvPG/MrSfekslVyqol0ZedDuxdpfxJisTfm4DngVnAchTf1XfQNcH1axHxXGb+ot6AS/ryPDEQDZT3vTvl8ys0d47tpJLYdAnVk8mep0i0vZXinLo8sBHF516epXZjisSqzTNzWiMxdPAbioTThZ6kmMl9Yf/jKWYtfm+T7Q8lq1DcO3RMfruO4hr4CDCD4py4MUXyzSIRsTxFMlR5Rsl5FDN4XgU8XGkDivd9JYokoi3pOVFwGv87VkdRHDMdPVbZpjv397C+GU/zv7jG0jU57gGqz+jc0aOtDqqKH1LMoLvQXcDfKGbmfJHie7gDxfew42c4HDipkiw7nyJhceEABklxH/ovivf/VYpEsncAu5T6Xx74JfCuegNu5/W6DyXF7Le3Ubznz1EkO8+nmMV1HWBrimtjxwT+kcAJEXFHZt7Yi/6/DezXYfkx4O+VeJ6nOGYXnn/LA1NsAHwPaCQ57izgLVXKp1Kc92/hf+f9icDu/O85ZiOKZPxBq3LtW6/KqnrvUbeiuHaWBxZYQDEL9lXAQ8B0ilmS16AYHOAtdE56XJ9iYKDXZ+aLVboaqOfTvrAk8Bc6P//eTnH/+QDF+WMlipmTP9ildldrUJxPx1eW51EMCnMJ8ATFPd2qFN/pd9E1GfUnEfGvzHy48V1pXkQcCnyxQ9FzFO/Bfyv/HkNx7O5G8d3saCWKJO93N9DlmXS9DkDxfv8FuIH/3YOtQ3EPtnFlm1Uozhd3NNBfK+xcpeyZzGx3HP0uIvYHqg2y8hxwAcU15EmK6/4SFNeztSmOne2AngYruZ//DQayCl2v8+Vnk2pqnqMqye3/V2XVPIrv6kUU39cRFAnc76Tr7OCjgNMiYl5m/r6OeKrZiuLvNAvbnU7xDHINxfG/BMX5d0+6/l1m34j4c2aeQzGLeMcBih6huIe7neL6ugzFs86e/O/ctND3I+JvDZ5zBsIz7DDg9xTnh4UepLiHubvS//IUx90eXWoXf3eolpx/M8U5+16Kz2MuxfG7LMWzyKYUn9ugGlhPkiRJkiRJg0hm+vLly5cvX758+fLly5cvX758+fLly5cvXzVfFD8qzdLrxA7rh1Mkjndcv1cPbb6xtP2rwDId1n+lSp+T6og1KH4cW677CkUS6PAa9ZYAfkCRWFOu+9M636dLq+zTwn8/BezRTd2xFAlw5b5fAJaos/9y3WN68ZlPrtLewv1ZQJFMu0w39T9Y2v+Fr73r7P+Yct066txaqvMwMKyJff9rqZ1ZwPJ9/B17uNH9rdLGNlXe7wS2qKPuKIqkuHLdvwIb9VB3FeB3VepeV+v7Vqn38Sp1dm9iv5egSELs2M6VddT7VJX+H6scu93FPYJi1sUZpbqzgdfX0e+lNb5XfX6eqPG9ntDkMdvU+aa/3vdWvJrd51Ibx1VpZx5FsuWYGnWGA5+lOBeV6/6xzn6nVOlz4b9fAT4BjOymftXYevl+lr8LTR+PDfRxaZOfdcf36xZgu3rfK6rfz1wIrFVnLBMq35t7gbfXsW25r8l9+b2ocx8mVYlrUi/aa+pcVuV7MJviniYpktP27KbuuhSJQ+V+vwgc22H5hu7OScDbgZlV2ql5TJXqt/163cLj4N8UCYD7ASvWWWeFyvu7oBTzbQ30293n/hJwcK39p0io/26Nc8LqvTheF1AkA1e9dlNc874CzOlQ55VSG5f29WdWiaUc+8NNtLFnjfewx+OAIrnuoSr1T6KH82jle/vPKnX/UEe/E6rUm9yL9/HSVnx+NY6nCXXUe7jK+7/w3w8B7+qm7ghgRA/vTcf72X8A63fT3qY1PtPj6nwPJlWpO6mOesd0E/cc4AvUvhcL4Ciq/63gDXXG/ZEqdRP4CbBUN/X2oBhUqda5oOHvZIPH3G+rxPzXvuyzh3imtGL/mzmOKAa/KX+PPguMrqO/4cD2FIMi3N/M8drL92370vd+4ety4LXd1NuOYiCacr3pwGuafJ87PtMcS42/K1EMyvOLKvXvpvjbx8Lv40zgY9S+lq9CMfhPuZ3jG3j/BsrfDjp+hs9TDLgQNepGx2OTYsCm8j48AGxf53uwLLAvcBnw3d4cj758+fLly5cvX758+fLly5cvX758lV/DkCRJkiRJkiSpFzJzPl1nFjywh2oHlZb/mJnTWxDOPhSzJHU0C3hPZv60EmsXmflqZn4OOKzK6k9UZg5s1MKZXh+k+OH7ubU2zMyXKRIWLiitWoZi9siBYAzFj2D3z8yju/u8sphRq/wZQ/Hj3r7yy9Lya+h6LHSrMivqO0vFv8/Mqb0JrK9FxHDg+1VW3ZmZN9XRxDEUM6V29IXMfE9m3tVdxcx8OjM/DHyjtGprqs8attDpFMkkHU3uOdQudqfrjGwnd1chIjah6/t1DbBJZp5T6zwBkJnzMvNEih+Iv9Rh1SjgW3VH/T9D7TxR0wB739suIrYHDi0VLwAOyMwvZ+asavUyc35m/pDiWJ9bWr1bRDTz2S+cfW8mRdL0zzKz3HbHGKrGthhZ+H5dCeyYmVfX2rDKe/W+0vLdFPckdc1OnpkPZ+ZPKWaNvqzOeFWfURTJP08DO2Q3M5Fm5gMU9xTlz/czwBGVf18KvCkzb+imnX8Ch1RZdUCdMR9D+6/XrbJbZr4tM0/PzOfqqZCZz2fmx+n6/mwSEbs2GcfCz30axff5hG6eD+Zm5heBE0qrhleJqYuIWJoiebXs45n52cx8tUa/8zLzWxSJZAtjW6Kn/gaiiBhL12MO4II6j4Nf0nkG3/nAhzLzwJ7Oox2+t+X7wt0jYts6+h7KFl7X7qFIbvx7rQ0rx+O8HtpbeD97AvDuzLyvm/ZupZjFvHz87xMRS/bQT6uNoUg0fUdmfq+be7HMzJ8DX62yusfn28p+/bTKqo9n5qczc2atupVng50oZraG9p8LNqhSdn2bY+h3ETERWK9U/M3M/GFmzu6pfuV+/srMPJRikIe2iYigGKigPPv2P4C3ZOa9tepW7nm3p5idvqOlKZLPmzG68t9PZObHa/1dKTNnZ+aRdH323YBiYJ9hwMvAmzPzuG6u5U8D76YYzKijvSOix+/TAHuGXfgZPkNxz/m7zMwafWfp2Cw/k8wF3paZV9bTcWa+kJlnZOZOwDcbDVySJEmSJEnqjgnukiRJkiRJkqRWOKm0vEtErFltw4hYimImv+7qN+vTVco+l5kX11M5M39DMcNuR1Gj3XrMpZgR9JE6+s4a/bytyb77wk8z83f1bJiZZ1DMCtrRThExptr2LXAaxUzeHVUbsKA7h9D1/538uumI2qCSOHQaxexoZV+po/6yFDMSdnRcZlZLmK8pM48B/lUq/kI320+l+GF6R++IiJUb6ZeuCWavAGf3UOeLFLOyLvQU8M7MLB8/NWXmLcDhpeK3R8Tm9bbRwVA7T9Qy0N73dvtUlbL/18A59R9UT6z6TC9i+kJm/qcX9VvtHxFxcxOv/2tDbC8Ce2XmSz1u2dk6peXf1ZMIVVZJUqmaDKte2z8z7+lpo8x8iK73q8tT3Dc8D+zdXZJih3ZOp5gNtaMeB+Tpr+t1qzRyrq9S9xSgPABMbwdNOqByTanHF+g6uEE9192PUMx42tHvMrOupMBKYusP6tl2IIqIlYC/ABuWVi0AvlZH/Q2AvUrFX658h+pSuW86lK7fuT4/5geBecA+mflki9q7Djg8Mxf0tGFl8IGfl4rHU8wW3W6frfdvBcAPgSdKZfWcC/YBliuVnV1Jmu9RZt5N3w4U151qf9N5uu1R9L/y/Rx0HfykLpn5Si9jadS76DpQwaMUz5/lAee6yMxpFMnR5fvQd1XO0804IzOPrXPbas8/K1X++4nMvLanBjLzBeDHpeLxwBvr6H8gPsN+NDPvbLBO+Ri+NDPvb6bzfjiGJUmSJEmSNMSZ4C5JkiRJkiRJ6rXKDyMv71A0DNi/xuZ7AmM7LD8M/Lu3MUTEG4DXl4pvo+vM3j35IvBCqWyPJhJvofjhbs2ZPMsqP1K9sVRc3qf+MoPqMzB257TS8gj6aMaySlLZlFLxOyqzsvcoIkbSddb5W7ObmXr7Q0SMiIgVImLHiPgGcC+wd5VNf5OZf6qjySPo/H18Gfh8k+GVk0w3j4gJ3WxfThQcAXy43s4iYi3gzaXiczNzRjd1JtB1gI2vVH703qgzgPIMle9vpp0hdJ6oaoC+720TEavTNcZnqSPBr+QndN337SJiyybCeoDGr499bSNgsyZea7Uhtp9kZjmprR7jSstTWxGMWuaizLywge3/UKP8p5n5TC/aWSMiVuyhTn9erweCU0vLO/Sircsy8y/1blxJ7vtHqXjziOjp9zYfKy3PAj5bb78V32KQJJNGxKiIWDkidomIHwN3AztX2fQrdd73fJbOv2l6CPhRo3Fl5lzgO6Xid/ThoFuDxe8y86YWtvf5OmZ676j8nAjtv599kAbuhSrHUnkgrTUqgzl055DS8nzg6Hr7rfT9V+CiRuq0SHmQDoDp7Q5iACjfz8Hguac7skrZ0fUMyrNQZZCf8oA6QXFv0qj5wJca6Pu/FAn5ZfcAJzfQb3mgHIBun6EG6DPsJZn5tybq+UwiSZIkSZKkAcsEd0mSJEmSJElSq5STVSdHRFTZ7sDS8pTK7Hq99dYqZcfXM4tcR5k5HTizVDyS6jNk96SZWb3Ks56/tok2+sLZTcxcW94X6Dp7WCv9Euh4LA2ja0JBLbsB5UEM+m329ojIai+K2b6fA/5DkRy7apXqP6HrDGG17FFaPqeJz3mhq+ia8LBTN9tfAJRnjZzcQH/7U/ywvqOefuT+fopE+oVmAmc10OcilfPW+aXi7va3lqF0nqjl/Qy8972d3gwML5Wd2khiCSxKrKp2vFS7/vXk5BZdexcHSdd7nHqVk0d6k5Sr1vttg9vXSgZt9Pio1k5P90f9eb0eCMpJYatWBrppRiuuu2OB1WttXIlt41LxXxocCGHhLKnVEoH7y2u6uUedTZGM/y/g03RNjJ0PfC4zv9tTJ5VnyN1LxVMyc36TcZcHKBgNbNtkW0NFo+e/7tyXmZc2WOcOivvBjvryObGakxr9WwENPt9GxDhgq1LxBZn5eIP9Qms/s3otUaWs7pmrh5BqycAD/p4uIkbR9fr+NFDPQHhlxwPlQSyaeQa5KDMfabDOzVXKGnqWycwHgPJ9U0/nnPcz8J5hmz0PlI/hbSNiRNUtJUmSJEmSpDYzwV2SJEmSJEmS1CrnUMzyvdC6wJs6bhARr6XzD4GTrrNuN2v7KmW1Ztrsye/rbL87r1L9B/A9eaC0PDwixlbdsr0ua6JOeV8Alu5tILVk5n1AeSbWgyqzs/fksNLyDOD0lgTWHvMpfjD9xsz8TD0JQBGxLPC6UvFVzQZQSRAp/1h9i262nw/8rlQ8MSK2rrPL/UvLD9LzcVr+EfnNleSxZj1UWq65vzUMtfNELQPtfW+3ateParMI1qMV1yeAS5rsf3F0f5OJaADXlpb3i4jDawwApPb7TyMbV2bsnFEqvi8zG51h++EqZcvU2ri/r9d9ISJGR8RbIuLTEXFSRPw1Ii6LiBsi4ubyC/hjlWaaTXBvxz3tG6qUVduHejRbb6CYTXHt2jQzf1hnnU3pmiDfm2N+Gl2Tcgf6vUNfehW4poXtNXQuhUXnoYdLxX32nFhDO84F29D1t3nlARfq9Q86D+bWDtXuVxbHAZL+C5QHQzghIib2RzAN2BIYUyr7c2aWE9V7VLnXuaJUvEFELN9gUw2fL+h6zwJweQvaWaaH7QfiM2yzz3DlZ5K1KY7hJZtsT5IkSZIkSWoZR2KUJEmSJEmSJLVEZs6MiN8DB3UoPpDOPxwvz95+cROzN9WyZWn58SYSjha6geIHzB1/jF5uvyePVGbbbVS1GdGWBl5uoq1WKs+cWY9qM4v2deLCL4C3dVhemWIGyLNrVYiIDYFJpeLTMrOcxDaQPQSckJlXN1BnO7omXHwxIo7sRRzrlZZX6GH7k4DPl8omUyQR1BQRb6IYRKOjKXXM4lZOBJ5YSZxr1nKl5aUjYmQD3/2hdp6oZaC97+1Wvn7MA25ppqHMfCQingVW6qb9Hpuh+kyI/W3tzHy4v4Oo4sZe1D0ZeF+H5QB+CRweESdTzOjczPVVvfdqZj7ZRL0ZwLgOy/c32UZZd/dHA+F63RIRsR7wBYoZ6Xt7T7hME3VmNTlgRa3rbi2vr1J2QxP9QnG+ng8Mb7J+f7sT+FVm3tlAnWoDt/w8Imb3Io5yEl9bjvkB6tZ6BsNqQLPXsfL3qt0J7s3E3ei5oDw4CTR5X5GZL0XEA3Q9f/elV4HyIFrLtLH/ASEzp0XEXyhm9F5obeCWiDgPOBO4MDOr/f2jP1V7Rri+F+39l85/NwmKJO2LGmijVfdNrWinp3POQHuGfbbJe1coZp7/DrBEh7LJwDsjYgrFYDr/rQw+IkmSJEmSJLWVCe6SJEmSJEmSpFY6ic4J7ntExJGZOSMihgMfqbJ9r1VmQi3/WPSuZtvLzJcj4jHgNR2KG02CmNZk99V+3FrPDOR9reH9ycw5VSap7et9+QdFsvfaHcoOo5sEd7rO3g5wXCuDakK15NdhwHhgDbomOa0H/DEijgU+WUeiN5V2ytZpKMqedTujW2beGxFXAW/sULxPRHw6M7tLYjqgtLwAOKW7viJiFLBiqXgZWp+ksRzwTJ3bDrXzRBcD9H1vt/L146HMnNWL9u6ic4J7o9enl3s5++Di5tlmK2bmeRHxZzonRAFMBH4E/Khyv3EFRdLQVcANzcys2SoR8THgYw1W+0tmfq0v4ulDLzRZr3z+baadRs/h/X69boWI+BrwJWB0i5psJhm2XdfdlUrL86g+83OPMvPViHiUzve2/WUuRcJ62QiKz2N1us74vAVwSUR8LjN/VGc/1Y75DeuOsj59fswPYE1f12po1feq3feyzcTd6Lmg2nH2cBP9LvQQ7U1wn4YJ7gsdDbyJzn93Gk4xmN7uwPyIuAm4muKe7j8tHMyxWdWeEZr+OxnVz/+NPoe06r6pFe3U/O4O0GfYpp91M/PpiPgS8NPSqpWAz1Ve0yt/m7kWuAa4KjMH6gB6kiRJkiRJGkJMcJckSZIkSZIktUxmXhURd/O/BIQlgb2BE4B3AKt22Hw68KcWdT2ergm/03vZ5gt0TnAvJ9D3ZKDOJNysQbE/mbkgIn4N/KBD8U4RsVFmdvkxd0QsQdeBF67MzFv7Ms6eZObmtdZFxBiKmdM+SefZ6gE+Dsym+IFyT9qR2LNEz5twMp0T3JelmPH499U2joilKGZ+7ejizHy0h37alchUzz4vNCi+V700EN/3dlu2tDy9l+2VEzpGR8SSDSStD7TZJQe63r5f+1HcB+1bY/2awD6VF8DLEfEvipkWz+thsI++sAqwWYN1bu6DOPpaq86/7TiPD5TrddMi4pfA4S1utplk2HZdd5cpLc+oc/ChWqrNGt0fnuzhHnUsxb3pZ4FtO64CfhgRr2Tmr+roZ9Af8wNcq+8DBuX9bAOzJvdG+R4Qevd9bve54HFgrVLZym2OYUDIzAciYhfgD1QfcGQ4sFXlBUBEPEwxM/bpmXljO+IsqXb8Te9Fe9WSyvvl72Rt+P4OxGfYXp27M/P/RcQI4LtU/83wMsA7Ky+AeRFxDcVgkWdl5vO96V+SJEmSJEmqZVh/ByBJkiRJkiRJGnJOLi0vnGn5wFL5Gb2cwbajcVXKZvayzXL9an1oYPot8GqprNZstPvQNQnp160OqJUyc1Zm/jMz306R5F722YjYvY6mqv3gvT+cDZQTc8sztHf0QbrOJFg+71QzUPZ3ceP73vX60errU7U+utNvs4MPUr16vzLzlczcD9gVuBToKcl1LLAbxbnxgYg4NCLKMyJr8TKoz6MR8SGqJ7dPo7hnOxDYEZhAsa9LZGZ0fDEwZi9vRDvO+wNOZr6cmX8AtgN+XGWT/xcR29TR1KA+5gcB7wPaZ3SVsjm9aK/dg97cU6Vsqypli4XMvAnYBPg88FgdVSYAnwZuiIiLImLzvouuqlb/nay3zyCDyUC8DvX63J2ZP6I4hk8Hevp77AhgB+DnwCMR8cPKYIOSJEmSJElSS5ngLkmSJEmSJElqtVPp/MPL7SLiTcC7S9ud1MI+Z1Qp6+0PL8v1q/WhASgzpwFnloo/EhFLVtn8sNLy88C5fRJYH8jMnwHfrLLquIjoadax8iAAAJuXk8p6+ZpUxz7MoOt7vmtErF6jSjn5fTrwp576ofr+/r8W729k5sN1xLI48X3vev1o9fWpWh8aYDLzX5m5M0Wi7pHAOcCTPVRbHTgOOC8iRvVxiBq4BsT1uhkRMRL4QZVV3wPWyMyPZubJmXlFZj6SmdNrDIA12Gbbbsd5f8DKwtHA70qrRgKn1HE+q3bML9viY35yK/ZV6kG1Gdd7kxA8vhd1m3FDlbJ6BqkYsrIYuOgHwGuAnYBvAf+h+nmro7cA10bE/n0cYket/jvZ4vQMMmSfYTPznsz8ELAKsB9wInA33Q/CtSRwNHBjRLym76OUJEmSJEnS4sQEd0mSJEmSJElSS2Xm08A/S8VnUiQ0LHRrZlb7sXSzXgLml8qW6WWb5frTetme2usXpeVlKGZrXyQiXk/XGehOzsx2z4zXW98AriuVrUjxY/vuPF+lrL9mSC3PwD4M+HB5o4hYh2KW147OrJEMVzaQ9nfQqiQrNsL3HV4oLS/Ty/bK9Wdn5iu9bFNtUkni/WVm7pmZq1MkSH0I+A3weI1q7wF+2ab4jjFRdMAZzOfRnYBVS2U/z8wvZmZPyYAdLdfCmNpheml5XEREL9pbuhd1+9PhwCOlsg2BT/VQr9oxP6EVAQ1yjd6Dqf+V7wEBehqErDu9qduMS6uUrRwRG7c5jlbr9XepMpDHfzLzq5m5E8XgA1tTzNj+D6onSI8CflsZALIdqh1/y/SivWp1h+rfyQbzvVddMvPFzDwjMw/OzI0ozi/vBr4P3Faj2muBvzvwliRJkiRJklrJBHdJkiRJkiRJUl8oz86+Wmm5nMzaK5mZwNRS8UbNthcRSwFrlYqr/cBVA1Rm3gRcVSr+WGm5PHt7Asf3WVB9JDPnU+xbecatgyPitd1UfaZK2aYtC6wxlwEPlsomV9luMlBOEKvrfJLFTPHlRIP+2t/+MLdKWTPJHQ0l1vi+A/BcaXntiBjdi/bKSUVenwaxzHw0M0/PzEMzc01gZ+DCKpseFBET2xyeBoaBdL1u1FtLywuAbzfRzjotiKWdni0tjwDWbaahiFiCrs8lg0Jmvgx8osqqL0ZEd4MWDOZjvpryPVizybXtTm5W7z1Wpex1zTRUGSRjk96F05jMvAN4oMqqQ9sZRwcD9ruUmfMy8/rM/GlmvgtYieIZ/cnSpsOBH7a6/xrKzyDQi7+T0fUZBIboc8ji+AybmS9k5t8z8wuZuSmwAfBrug4mOhE4qO0BSpIkSZIkacgywV2SJEmSJEmS1Bf+RtfEjoXmAKf1QZ83lpbXiIiVm2zr9XT9G3orZ5xXe5Rnu90qIrYCiIilKc3oDlyYmdV+wD/gVRL6Ty8VDwf+r5tq11Ype0fLgmpAZZCKKaXiDSJiu4ULlaSOj5S2uSMz/9tAV+WZ7teOiA0aqD+YvVSlbHwT7azXRJ3F+X2HrtenEcDmzTQUEWtRJMx05PVpCMnMSzPzbRQzuncUwG79EJL634C5XjdhzdLyvZlZLXm5J9v1vMmAUu28/Pom29qc4p5uUMrM84ArSsVLA5/rplr5vgEGzzFfTfkerJn7L2juHkz9q9qx/IYm29qY5o+d3qg2mNj+lUEB223QfJcy8+XMPB7Ykq4DHWwTEeXrY18oP4MAbNWL9rYuLWeNPoaKxfoZNjPvzczD6fo3GIAPtDseSZIkSZIkDV0muEuSJEmSJEmSWi4z51I7if2vmdkXszyVZ+sG2KPJtj5YZ/sDSXlWpUGbCNNC5wBPl8oWztq+P7Bkad2v+zyivnUMMK9UtmdEVJ3pLzMfAe4vFW/Tw6zvfekUipldOzqgw7/fDLymtP6kBvv4V5WyDzXYxmA1vUpZMzPi7tREncX5fQevT2rOl+h6be9u5sjy+R8Gxr3AQI1r0BiA1+tGrFBantZoAxExEnh/S6Jpn2uqlDU7QMXuvQlkgPhKlbIjI2LFGttfBcwslb0rIpZtbVg1tfq8Nb20PKEycFOjmrkHU/+6h67nvb2b/Pz3a0E8zTiBrt/HpYHv90Ms00vLY7s5j3Snbd+lyqAuP66y6nXdVOtyDoqIZs5BNwKzSmXvb6atyuCRO5aK78nMhq/rg8ji/gwLQGaeAdxcKh7Ss9lLkiRJkiSpvUxwlyRJkiRJkiT1ld/WKG80IbVeF1QpOyQiGvpbeGVm731LxXOBS5oNrE1mlJbH9ksUA0hloIUTSsV7R8QywKGl8seBv7Ujrr5SmX3+1FJxUCS+13JeaXkY8LUWhlW3zHwUuLhUvFdELFH59+TSunnUHkijlr9UKft4RCzXYDuD0T1VyrZppIFKMsSBTfS9OL/vUBzX5UTlDzc682VEjAAOrrLqwmYD08CVmVOB50rFS3dTpXwfAAPjXmCgxjXYDJjrdYPKSZHlhPd67Aus2oJY2qZyT3Nnqfh9EbFSI+1U7oEGfTJdZl4G/LtUvBTw+RrbzwH+WSoeB3ym9dFV1erzVvkebCzFbNx1i4idcQb3QSczk2LQtY7WAvZqpJ3K4A4fbVVcjcjMZ4GfVll1eETs2sq+ImLTiNilm01a8TyzLsXAae10d5WyPr+nq/w9pPx3rFVobtCYQ4ARpbKh/gyyuD/DdlQ+hrs7fiVJkiRJkqSGmOAuSZIkSZIkSeoTmXknsDJFQkrH1/l91N91wPWl4k2BjzXY1LeB8g9Wf1/5YfdA9kJpuZmZmYei4+g8A9qSwIl0TSr5TWaWE1AHo29RDMjQ0e4RsVmN7X9M11nd9ouIhpIuWujk0vJ4ivjH03UG0783+r3MzNvo+kP18cDvGh0MY7CpvFePl4r3bHAGvyNo4tyyOL/vAJn5JPCnUvHKwNcbbOqTwAalsisz86YmQ9MAFhFjgPJsxeWE945m0HXGz4FwL1C+P4GBEddgM9Cu1/V6qrT82oiYUG/lyoyxP2ppRO1zXGl5DPCDBtv4MkUy4lBQbUCGwyOi1v59u0rZ5yJihxbGVEurz6c3VCkrD6hWU0SMBL7Xi/7Vv35dpewnDQ548VOgmZnKW+U7dE0uD+CciGhJsnhEfAS4Elijm8169V2q+AHt/71ktUFauruna+W90y+rlP0oIpast4GIeA3whVJx1mh7yFjcn2FLysdwd8evJEmSJEmS1JDF7Y9tkiRJkiRJkqQ2ysxnM/Pp0iv7sMufVCn7UUTsVE/liDgQOLxUnFSfsWygua20vFOjswMPRTUSSz9QWp5HkfQ+6GXmQ8CUUnEA36ix/VNU/2H6SRFRfp/qEhHDI2KviKiWmNSTPwHTS2UHUMxyWP4R/klNtA9FglV5MIN3AidXEkobFhETI+LUyuyKA1l5gJG1KJKmexQRb6HxxLyOFuf3HapfRz4TEXvXUzki3kb1ZL8f9yoq9ZmIWC8ivhoRzSakHQqMLpXdUmvjzFxA1xmj3zYAEnAeA14slb2zPwIZzAbg9bpel1cp+349FSszpP6N5mZ9HwhOpes9zf4RUdfgWxGxGzVmOB+MMvNK4F+l4iXomjS5cPubgD+UikcCf4qINzUTQ0SMjohDIuJTPcTa6vPpVXQ9D368kjTarUqfv6DBWao1cGTmLXRNkl0VuCgiVuuubuU8/WNg/76Krx6Z+SqwDzCztGo8cH5EHNrs96Nyv/RX4BR6mKU8Mx8A7isV7x0RdX0/IuIrdB00rZ56kyPiAw0ODLaw7ki6/o1pAXB7N9XKf9uB5u+d/kHX2bcnAGdERHlG9i4qz1nn0fVZ/K+ZeW+TMQ0mQ+IZNiJ+HBHlQR7rrbslsGOpuOYziSRJkiRJktSo/v6f2ZIkSZIkSZIktUxmnknxA96OlgD+HhFH1vrRdUSMiYjvAidQJAN39P8ys9pMYQPNVaXlpYGzI2Kj/ghmgPlFD+vPqySODRXfAuaUyt4XEa+vsf1XgOtKZUsC50bEiRGxbj2dRsQmEfF/wL3AWUCtWeNrysxZwJml4p2Bz5TKnqXrd73ePm4BPldl1UeAayLiPRFRPg90ERHLRsSBEXEhRRLCh4GGkx7arNpADt+vJKVU3efK+fHzFMnxo+k6g3BdFvP3ncy8iq4zeA6jmAHwmIgYVa1eJbHp08CfgfI2f8rM8gAeGjjGAv8HPBoRp0XEbhGxRE+VImJURBwN/LC0aj7FubU75XuBDYAT60mi7CuVgY2uLhXvEhHfbXD2Wg2g63UD/kkxG3ZHe1birTkQU0TsClwDbFUpeqmP4uszmfkiUC2R+lcR8b1aiXERMSIivkDx2SxMPny1j8Jst2qzuB/aTZLvocBDpbIVgIsj4ofdzP7eSURsW0kSfhg4Hqjnu9Ky82klOfiMUvFYigTnmgmHEbEe8FfgkEpRU/dgGhA+RtdZuV8H3BURXygfVxGxZGXwkv8Cn64Uz6X6DOZtURl0Yi+6PmeOAo4Dbo2IPeq81xkWEZMi4nSK5Ot3NxBK+XlmGPC3iNi+m/5WjYhTgG9Wihr9Lm0OnAvcHxHfqiT89qjyuf4F2Lq06qLMfLqbqrfT9br3xUqifY/vb0eV+7CD6Jqk/T7gwsp5pqqI2Ba4gq73CdOBoxqJY7AaQs+wBwF3RMS/IuLgeu/BI+LdFH8HKP8t9bRWByhJkiRJkqTFV48jcUqSJEmSJEmSNMgcANxMMSvaQksBPwc+GxF/BO6i+FHuChQ/Vt6N6rND3gh8se9CbalTKRKbO/7t/13AuyLiBeAZYHapzpOZOeRnUc3M/0TEbRRJBNWUk04Htcx8NCJ+CxxWWvUNqiQPZOasyiyh1wBrllYfBEyOiOuByygSg6ZR/Bh7GWAliu/QVsDqLdqFk0uxD6NIKurod5k5r9kOMvMnlYSig0qrNqNIQng0Ii6hOJdMpUiCWBpYFtgQeD0wkUH2/9oy87qIOI8ioWGh4RRJKUdExJ+A+ykSV1ak2M93UnzOC32ysn0z/S+W73sHn6GY/W6TDmUjgK8Dh1Xe/1uB5yn2eWOKWSbXqNLWY8BH+zRatcoYYL/K69WIuBm4iWIG0ukUyb+jgVUovgtvp/N3bqHvZeZjPfR1EkUSXUcHAAdExHPAcxQJch1dn5l9fSydRLFfHX0B+EJEPEVxXSmf0/+SmdWSYRdbA/B63aPMfCEifkrXxOaDgPdHxDkU99svVOJch+JepeM923zgExT3B4NKZk6pfGbv7VAcFDOzH1R5LrmF/533JwIfADomfP+dIhl6p7YE3Ycy85qIOB94R4fiMcCXgCOrbD81It5LkWC5dIdVI4CjKWZBvxr4D/A4xXE0muJYWhXYguKYX7GJcFt9Pv0uxXVgfIey9YBbopi9+lLgaYr3Y3WKAZ525n/3PM8DP+N/CboaRDLzqYj4MPBHOg9YNJ7i2PhuRDxPcVyNA1YGRpaa+TLFOaLjoGXlpOU+lZl/j4j3UCR7jyutngicA8yKiCsoBmR5juLYnVXZ/jUU98FvornvJRTPIUfS+Tq4InBFJXn4XxTng+EU54EdgbdSDHxIJZYvAj9tou8JFJ/Dlyv3LzdSPLc8SXFPN4fifD0BeCMwia6f42y6Dt7WSWbOjYjT6Dzz+1IU18ETI+IxivvHBaWqX8vMv1Rp76qI+AbFwEsd7QzcGREXA/8GnqB439akeAZ8I10HgEzg0Mx8tLt9GEqG2DPsLpXXcRFxB8UzyZ0UcU+n+PyXAzai+N5sWKWNy4Gz2xGsJEmSJEmSFg8D4Q9nkiRJkiRJkiS1TGY+GxE7UMwYuX5p9VoUyZn1uAJ4b2aWk8IHpMqP5r8FHFNl9bKVV9kyfRnTAPNLqifl3kvxY+6h5jvAgRRJPgu9KyK2yczy7K9k5pMRsQ3FD5XfVFo9HNi28upzmfnfiLidzknAZa1IcjuYYlbQ/6PrjGRrAftXXkPNxyhmESzPlvo6ag8CsdAPM/P4iGgqwb1icX3fycxXI+LNwN+AbUqrV6KYqbYedwFvz8xprYxPbbEEsF3l1YizKQYp6Vbl/HkyRRJm2YpUTyab3mAszfgDcDHwlirrVqXzoEQL3dyXAQ1WA+l63YBvUSRnlxO0l6drAnFZUiT4Xdr6sNpmb4rz/ptL5Svwv5m5a7mbYpbXP/VBXP3l63ROcAc4OCK+X20Qj8y8PSK2pkgMLt8bjqL6sdVrrT6fZuZjEfFxYEpp1QiKwdZ26yaclykGftiom200wFWSw3enSA4fU2WTFag+6B7AjzPzh5Wk547Ks3z3ucy8sDKD+WlUv96M4X9JtI06hyJBvbv+X4qIAyhmlS4nj+9aedUyj+Kc/GITsZWtSmVAwQbqzAY+nJm317HtNykGulqlVD6cIoG+muVqNZaZ36zMNF6+nxxJMQhReSCiauYCB2Tm7+vYdqgZas+ww6jv+b/sdmDvzCwPriBJkiRJkiQ1rfwHN0mSJEmSJEmSBr3MfBDYHvg9RWJMI+ZSzPb+1sx8odWx9bFvUswoNqe/AxmATqN60slxmdnoMTLgZebjwAlVVpVnbetY52mK5MOvUMz62ht3UXz/mtVdAvt1mXlHL9oGIAvfpki+uL6Xzb0EnEiRgDSgVT7nHShmaq/XHODozPxcC/pfLN/3hTLzOYrZEo+j64zVPVYHzgC2X5xmTRzEXqGYXbM3XqaYZXSfzCzPFFzLYRSz/A6YxJNKEsweFMevemmAXa97VDl230eR5N2I6cCemfmblgfVRpn5KvAeihnBG3EF8KZB+DzSrcz8L12PhVEUzzC16txHkUj7E2BmL0O4HvhHndu29HyamadQDEDVyPX/QWCHzLy2FTGof2Xm34FNgYvqrPIMsF9mHl1ZLg9a14pE7YZl5v0Ug/UcCDzQy+bmU3wnt83MPTPziTr6v5jiutLI+eBZ4G2ZeV4TMT5L439XKrsdeHNmnlPPxpVr/ZuBG3rZb8c2/w/Yh2LG+UbdSfE3stNbFc9gMgSeYZ/uZf0ETqG4HjVz/EiSJEmSJEk1meAuSZIkSZIkSRqSMvO5zNyLYpbcs4GekkOeokgI3igzP56Zs/o6xlbLzAWZ+R1gdeBIiv2+HXgeGHT700qZOZNiFsyOXqXrLIpDyXfo+rm/LSK2r1UhM+dVfrj9GuAzFMlV9QyYMA+4iiKBfpvM3DgzT20ubKAYkKBWMmcrZm9fJDMvycytKWatOwd4rs6qD1H8MP2DwCqZefBgOW9k5kMUyTVfojj31TKH4jyyRWb+uMUxLHbv+0KZ+UpmHkYxE+1J9JxwMA04E3h9Zu431JIdh6rMvJdiJtZdKZIyr6X+AWjuopjleP3M/F4jA7Fk5uzM/CTF7J6fo5j1+B5gagP9t1xmTs/M/YANgWMoElwfoLg/qzd5XxUD6Hpdl8x8EXgvsB9waw+bPwv8ENggM8/t69jaoXLePwiYBFxA9wnOdwIfBXaqDIoyFH29StmBETGhVoXKe/gZinPbMRQJhvPr6GsW8G+Ke56Jmbl1ZtaV4N4X59PMPBmYSHHvM7ubTZ8Evgq8LjNvaaYvDUyZeV9mvpXi7xQ/BP5L8XnPpUjYvo/i+NgfmJCZHQeHKc/m3dtBTppWSfg9GXgt8E6K5+p6E19fBi4DjgbWyMx3ZeZ1DfZ/fqXvE+g+UXga8COKv/P8u5E+OvT1HYr3/kDgdIrnkXrMpZhpfj9g88y8qsF+7wK2BnYC/h9wCfA4RYJ0Pee/am2eBaxHcU67ke4T9+dR3F98FNg0My9rps+hZLA+w2bmhsDrKa4r/6I4hurxLPArYMvMnFy5n5MkSZIkSZJaKobgpCSSJEmSJEmSJHUREcOBrSgSFFYExlPMDPkscG9m9pRso0EsIl5LkZDS0ZTMPKA/4hlMImJJiu/OasDywDIUCTkzKL4/9wD3Z2a/JU62UkQEsDFFwsTyldcwiv2dTpGQefdQSjKOiE2BzSiScZekmA3yHuDqzGzLzHKL4/u+UGXfNwXWB1ai+I69RJEw8RBwfWUGbA1yETGaIqloXYpz6jhgNMVs7y8CDwO3ZObz/RWjBq/BdL2OiLUoZv9dmeKefBZFYuQdwK2NDOowGEXE8sAbKT6rFSj2/zHghszs7WzIi42IWJoi+XMlimN+aYoBrGZQHE/3AA9mZlOJoH2t8p3dnmKgihUoEk2fAW4Bbh7q3wM1JiKWoLhXGNmh+JuZ+bV+CqmqiFgD2IjiuF4GGENxjnuh8roXuLOV97YRMZLinLouxXdpOMUgf7cD/83M7gYVabbP5Snu3dep9Dm2smoGRVL9XcAdmdndQBb9LiJW5n/n0RUpEuefoxiA6xoTmrs3WJ9hI2IYxd9G16X4ro6n+DvAbIrn0Kco7sce7qcQJUmSJEmStBgxwV2SJEmSJEmSJA15EfFj4NOl4jdk5rX9EY8kSZIkSfWIiPcDfyoVvycz/9YP4UiSJEmSJEmS1BImuEuSJEmSJEmSpCEtIpYCHqeYQW6hGzJzq/6JSJIkSZKk+kTElRSzlC80F1g1M6f2U0iSJEmSJEmSJPXasP4OQJIkSZIkSZIkqY8dTufkdoCf9UMckiRJkiTVLSI+S+fkdoA/mtwuSZIkSZIkSRrsnMFdkiRJkiRJkiQNWRGxBnA7sHSH4ieAdTJzTv9EJUmSJElaXETE9sD6wJmZObvOOsOALwPH0HUSmx0z84qWBilJkiRJkiRJUps5g7skSZIkSZIkSRqSImIX4CI6J7cD/J/J7ZIkSZKkNlkTOBl4PCJOjIj3R8Sa1TaMiNdGxBHAXcD/0fX3fSea3C5JkiRJkiRJGgqcwV2SJEmSJEmSJA16EbEVcGJlcRSwFrBUlU1vAbbKzHntik2SJEmStPiKiL2BM6usmgFMBV4GxgIrVP5by63Adpn5SsuDlCRJkiRJkiSpzUb0dwCSJEmSJEmSJEktMBbYrIdtZgIfNrldkiRJkjQAjKu86vEPYB+T2yVJkiRJkiRJQ8Ww/g5AkiRJkiRJkiSpDZ4F3pWZt/V3IJIkSZKkxcq9wPVN1r0LmAy8JzNfallEkiRJkiRJkiT1M2dwlyRJkiRJkiRJQ9F8YDpwJ/A34ITMfKFfI5IkSZIkLXYy80Zg64hYE9gJeAOwIfAaYAVgSSAonmGnAY8AVwCXAZdnZvZD2JIkSZIkSZIk9anw79+SJEmSJEmSJEmSJEmSJEmSJEmSJEmSpHYY1t8BSJIkSZIkSZIkSZIkSZIkSZIkSZIkSZIWDya4S5IkSZIkSZIkSZIkSZIkSZIkSZIkSZLawgR3SZIkSZIkSZIkSZIkSZIkSZIkSZIkSVJbmOAuSZIkSZIkSZIkSZIkSZIkSZIkSZIkSWoLE9wlSZIkSZIkSZIkSZIkSZIkSZIkSZIkSW1hgrskSZIkSZIkSZIkSZIkSZIkSZIkSZIkqS1McJckSZIkSZIkSZIkSZIkSZIkSZIkSZIktYUJ7pIkSZIkSZIkSZIkSZIkSZIkSZIkSZKktjDBXZIkSZIkSZIkSZIkSZIkSZIkSZIkSZLUFia4S5IkSZIkSZIkSZIkSZIkSZIkSZIkSZLawgR3SZIkSZIkSZIkSZIkSZIkSZIkSZIkSVJbmOAuSZIkSZIkSZIkSZIkSZIkSZIkSZIkSWqLEf0dgKTBLSKWBnbqUPQYMKefwpEkSZIkSZIkSZIkSZIkSZIkSZIkSVLPRgFrdli+LDNfbEfHJrhL6q2dgPP6OwhJkiRJkiRJkiRJkiRJkiRJkiRJkiQ17X3AX9rR0bB2dCJJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkgnukiRJkiRJkiRJkiRJkiRJkiRJkiRJkqS2GNHfAUga9B7ruPDnP/+Z9dZbr79ikSRJkiRJkiRJkiRJkiRJkiRJkiRJUg/uv/9+3v/+93cseqzGpi1ngruk3prTcWG99dZj4sSJ/RWLJEmSJEmSJEmSJEmSJEmSJEmSJEmSGjen501aY1i7OpIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkLd5McJckSZIkSZIkSZIkSZIkSZIkSZIkSZIktYUJ7pIkSZIkSZIkSZIkSZIkSZIkSZIkSZKktjDBXZIkSZIkSZIkSZIkSZIkSZIkSZIkSZLUFia4S5IkSZIkSZIkSZIkSZIkSZIkSZIkSZLawgR3SZIkSZIkSZIkSZIkSZIkSZIkSZIkSVJbmOAuSZIkSZIkSZIkSZIkSZIkSZIkSZIkSWoLE9wlSZIkSZIkSZIkSZIkSZIkSZIkSZIkSW1hgrskSZIkSZIkSZIkSZIkSZIkSZIkSZIkqS1McJckSZIkSZIkSZIkSZIkSZIkSZIkSZIktYUJ7pIkSZIkSZIkSZIkSZIkSZIkSZIkSZKktjDBXZIkSZIkSZIkSZIkSZIkSZIkSZIkSZLUFia4S5IkSZIkSZIkSZIkSZIkSZIkSZIkSZLawgR3SZIkSZIkSZIkSZIkSZIkSZIkSZIkSVJbjOjvACRJkiRJkiRJkiRJkiRJkiRJkiRJ0uCXmSxYsIDM7O9QJGlQigiGDRtGRPR3KH3KBHdJkiRJkiRJkiRJkiRJkiRJkiRJktSwzGTWrFnMmDGDGTNmMGfOnP4OSZKGhFGjRjFu3DjGjRvHmDFjhlzCuwnukiRJkiRJkiRJkiRJkiRJkiRJkiSpIa+88gpPPvkkc+fO7e9QJGnImTNnDlOnTmXq1KmMHDmS1VZbjSWXXLK/w2qZYf0dgCRJkiRJkiRJkiRJkiRJkiRJkiRJGjxeeeUVHn30UZPbJakN5s6dy6OPPsorr7zS36G0jAnukiRJkiRJkiRJkiRJkiRJkiRJkiSpLguT2zOzv0ORpMVGZg6pJPcR/R2AJEmSJEmSJEmSJEmSJEmSJEmSJEka+DKTJ598skty+8iRIxk/fjxjx45l5MiRREQ/RShJg1tmMnfuXF5++WVeeukl5s6d22ndk08+ybrrrjvoz7MmuEuSJEmSJEmSJEmSJEmSJEmSJEmSpB7NmjWrU7IlwLhx41h99dUHfbKlJA0UI0eOZMkll2TFFVfkiSeeYMaMGYvWzZ07l9mzZzNmzJh+jLD3hvV3AJIkSZIkSZIkSZIkSZIkSZIkSZIkaeDrmGQJRRKmye2S1DcigtVXX52RI0d2Kn/ppZf6KaLWMcFdkiRJkiRJkiRJkiRJkiRJkiRJkiT1qJzgPn78eJPbJakPRQTjx4/vVFY+Fw9GJrhLkiRJkiRJkiRJkiRJkiRJkiRJkqRuZSZz5szpVDZ27Nh+ikaSFh/lc+2cOXPIzH6KpjVMcJckSZIkSZIkSZIkSZIkSZIkSZIkSd1asGBBl7KRI0f2QySStHgZMWJEl7Jq5+TBxAR3SZIkSZIkSZIkSZIkSZIkSZIkSZLUrWqzBUdEP0QiSYuXYcO6poM7g7skSZIkSZIkSZIkSZIkSZIkSZIkSZIkSXUwwV2SJEmSJEmSJEmSJEmSJEmSJEmSJEmS1BYmuEuSJEmSJEmSJEmSJEmSJEmSJEmSJEmS2sIEd0mSJEmSJEmSJEmSJEmSJEmSJEmSJElSW5jgLkmSJEmSJEmSJEmSJEmSJEmSJEmSJElqCxPcJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEltYYK7JEmSJEmSJEmSJEmSJEmSJEmSJEmSJKktTHCXJEmSJEmSJEmSJEmSJEmSJEmSJEmSJLWFCe6SJEmSJEmSJEmSJEmSJEmSJEmSJEmSpLYwwV2SJEmSJEmSJEmSJEmSJEmSJEmSJKmfTJkyhYhY9Jo0aVLTbV166aWd2powYULL4hzsHn744U7vTV+9Jk+e3N+7Kg14JrhLkiRJkiRJkiRJkiRJkiRJkiRJkiRJktrCBHdJkiRJkiRJkiRJkiRJkiRJkiRJkiRJUluM6O8AJEmSJEmSJEmSJEmSJEmSJEmSJEmSpL60xhpr8NBDD9W17bnnnstnP/vZRcvbbrstZ511Vl11x44d21R80uLEBHdJkiRJkiRJkiRJkiRJkiRJkiRJkiQNaSNGjGDChAl1bbvCCit0Wh4zZkzddSX1bFh/ByBJkiRJkiRJkiRJkiRJkiRJkiRJkiRJWjyY4C5JkiRJkiRJkiRJkiRJkiRJkiRJkiRJaosR/R2AJEmSJEmSJEmSJEmSJEmSJEmSJEmS+k9mctddd3HbbbfxzDPPMGPGDIYPH85SSy3FqquuyjrrrMMmm2zCqFGjmu7jqaee4tprr+XZZ59l6tSpjB07lpVWWomtt96addZZp4V7AwsWLOC6667jwQcf5Omnn2b27Nm85jWvYd99921pPwPJ9OnTufLKK3niiSeYOnUqK664Iuuuuy477rgjI0a0Jp34wQcf5MYbb+S5557jhRdeYOmll2aVVVZhu+22Y7XVVmtJH1o8mOAuSZIkSZIkSZIkSZIkSZIkSZIkSZK0GHrppZf4wQ9+wCmnnMLjjz/e7bajRo1im222YbfdduNTn/oUEdFj+3PnzuW3v/0tv/rVr7jttttqbrf++utz9NFHc+CBB9aVjD1lyhQOOOCARcsnn3wykydP5tVXX+Wb3/wmp5xyCk8++WSnOksvvXTLE9wPO+wwjjvuuE5x7b///g23s9VWW3HDDTcsWr799tuZOHFip20mT57MKaecsmj5oYceYsKECdxzzz18/etf57zzzmPWrFld2l5++eU55JBD+OpXv8oSSyzRcGwzZ87k2GOP5aSTTuL++++vud3mm2/Ol770JfbYY4+6jg0t3ob1dwCSJEmSJEmSJEmSJEmSJEmSJEmSJLXNq9Phwq/ATzaGn20GV/w/mD+vv6OS2u7WW29lo4024tvf/naPye0Ac+bM4YorruAzn/kM8+fP73H7G264gQ033JDDDjus2+R2gPvuu49DDz2UrbfemieeeKLufejorrvuYsstt+S73/1ul+T2vnLEEUd0Wu6Y7F6vG264oVNy+4477tglub2WP//5z2yxxRacffbZVZPbAaZOncp3v/tdNtlkk24T1Ku54IILWGeddfjSl77UY92bb76ZPffck1133ZUXX3yxoX60+HEGd0mSJEmSJEmSJEmSJEmSJEmSJEnS4mHaQ3DGnvD8vf8ru+jrMH8u7PTZ/otLarNp06ax66678swzz3QqX2WVVdhkk01YfvnlGT58ODNmzOCxxx7j7rvvrplAXc3f/vY39tprL1555ZVO5auuuiqbbbYZyy23HDNnzuTOO+/kvvvuW7T+5ptvZtttt+Waa65hjTXWaGh/3v3ud/Pggw8CxWzzW2+9Nauvvjpz5szhwQcf5NFHH627vXptsskmvOlNb+I///kPANdccw233HILm222Wd1t/PrXv+60/LGPfayueldddRUHHHAAc+bMAYoZ6rfZZhtWWGEFnn/+ea677rpOieYPPvggO+20E1dccQVrr712j+2fcMIJHHbYYV0GM5gwYQITJ05k6aWX5qWXXuKWW27hscceW7T+oosuYocdduCqq65i3Lhxde2LFj8muEuSJEmSJEmSJEmSJEmSJEmSJEmShr5Hr4Wz9oVXnu+67vIfwTYfhSWWbX9cUj/44Q9/2Cm5ffPNN+cXv/gF22+/fdXt582bx9VXX81f/vIXTj755G7bvvPOO9l77707Jbe//e1v5xvf+AbbbLNNl+1vuukmPvGJT3D55ZcD8MQTT7DPPvtw6aWXMnz48Lr255hjjmHGjBmMGTOGr33taxx11FGMHTu20zYPPfRQXW016ogjjliU4A5w/PHH86tf/aquui+99BJnnXXWouUVV1yRD3zgA3XVPfLII5kzZw7jxo3j+9//PgcddBCjRo1atH7OnDn89re/5fOf/zwzZswA4Mknn2T//ffnsssuIyJqtv3vf/+7S3L7fvvtx5e+9CU23njjLttfeumlHHXUUdx+++0A3H777RxyyCGceeaZde2LFj/D+jsASZIkSZIkSZIkSZIkSZIkSZIkSZL61G3nwinvqZ7cDjBvFtz6+/bGJPWj8847b9G/l1tuOS6++OKaye0AI0aMYMcdd+SHP/whjz/+OCNGVJ9/ecGCBey1117MnDlzUdkxxxzD+eefXzW5HWCLLbbg3//+N7vvvvuisiuuuILTTz+97v2ZMWMGo0aN4vzzz+eLX/xil+R2oK5Zy5ux2267seqqqy5aPu2003j55Zfrqnvqqad2eq8OOOAARo8eXVfdF154gaWWWooLL7yQww47rFNyOxSz2B922GFceOGFLLXUUovKL7/8ck466aSa7b788svsu+++i5LbI4Lf/va3nHbaaVWT2wEmTZrE1VdfzXbbbbeo7KyzzuqU+C91ZIK7JEmSJEmSJEmSJEmSJEmSJEmSJGloyoTLfgB/OAjmz+5+2xtOKbaXFgOPPPLIon/vvPPOLLfccnXXHTNmTM11f/zjHxfN4g2w55578vWvf73HNkeMGMEpp5zCSiuttKjsRz/6Ud0xAXzlK19h0qRJDdVphZEjR3LwwQcvWp4xYwZnnHFGXXWPP/74Rf+OCA499NCG+v72t7/NG97whm63ecMb3sA3v/nNTmU/+9nPam5/3HHH8cwzzyxa/uxnP8uBBx7YYyxjx47l7LPP7pSg3+hnqMWHCe6SJEmSJEmSJEmSJEmSJEmSJEmSpKFn3mz408fgkm/Xt/2zd8ATN/ZtTNIA9Oyzz7asrWOPPXbRvyOC733ve3XXHTt2bKcE79tuu42HH364rrpLLrkkH//4x+vuq9UOPfTQTrPad0xcr+WKK67oNBjArrvuyjrrrFN3nyuvvDJHHHFEXdseddRRnQYPuO2227jxxurnu5///OeL/j127Fi++tWv1h3TmmuuyZ577rlo+cILL2T27B4GF9FiyQR3SZIkSZIkSZIkSZIkSZIkSZIkSdLQ8so0OPX9cOtZjdW7cUpfRCMNOBtuuOGif1955ZX8/ve/73WbM2fO5Jprrlm0vPXWW7P22ms31MbOO+/cafnyyy+vu97SSy/dUF+ttNpqq/H+979/0fKNN97If//7327rHHfccZ2WDzvssIb63HPPPTsl1XdnxIgRnRLPoUiwL7vnnnt49NFHFy2/853vZOzYsQ3F1fEznD17Ntddd11D9bV4qO/IlSRJkiRJkiRJkiRJkiRJkiRJkiRpMHj+PjhjT5j2YON1pz8GmRDR+rikAWTfffddNIP3ggUL2GuvvZgyZQof+tCHePvb385yyy3XcJvXXHMNc+fOXbS8zjrr1D0D+0ILFizotPzAAw/UVW+LLbZoqJ++cMQRR3DuuecuWj7uuOPYeuutq247derUTtuuscYavPvd726ov2233bbh7X/xi18sWq6WgF9Oel9rrbUa/gyHDes8N/cDDzzAjjvu2FAbGvpMcJckSZIkSZIkSZIkSZIkSZIkSZIkDQ0PXQ5nfwhmTe9+uw3eBff8vfj3mGVgs71hy4/AyhP7OkJpQDjyyCM599xzO824fv7553P++ecTEUycOJHtttuO7bffnp122okJEyb02OZjjz3Wafmss87irLPO6lWc06ZNq2u7lVZaqVf9tMKkSZPYeOONufPOO4Fi/3/yk59UnVn+5JNPZvbs2YuWDz74YIYPH95Qf6997Wsb2n799dfvtPzss8922ab8Gf7oRz/iRz/6UUP9lNX7GWrxMqznTSRJkiRJkiRJkiRJkiRJkiRJkiRJGuBuOh1+t1v3ye0jloA9fwcfnAIbvht2PwE+cze84/smt6vfRESn5fIs5o2YP39+t20vNHr0aC666CIOOeSQLonVmcntt9/OCSecwOTJk1l77bXZbLPN+OlPf8orr7xSs++pU6c2HXctM2bMqGu7cePGtbzvZhx++OGL/v3KK6/wu9/9rss2mclvfvObRcsjRozgox/9aMN9jR8/vqHty4n21RLP+/Mz1OLFBHdJkiRJkiRJkiRJkiRJkiRJkiRJ0uC1YAFc/H9w3uGwYG7t7cauDAf8HTZ+L4wYBXufDpvuCSOXaF+sUhXl5OyXX3656bbKycTdJUEvtdRSHH/88dx333184xvfYOutt2bEiBFVt7311lv59Kc/zfrrr88ll1xSdZs5c+Y0HXctmdnyNvvSRz7ykU6f5/HHH99lm4svvpj77rtv0fJ73/teVltttYb7qjV4QW/q+xmqXUxwlyRJkiRJkiRJkiRJkiRJkiRJkiQNTnNfhXMPgMt/3P12K02Ej14Mq7++PXFJDVh22WU7LU+fPr3ptsp1y21Xs/baa/O1r32N6667junTp3PJJZfwrW99i1133ZXRo0d32vbJJ5/kne98J9dee22XdlZYYYVOy9/5znfIzF69pkyZ0vB70J/GjRvHhz/84UXLt99+O1dccUWnbY477rhOyx/72Mea6uvFF1/s1fbVjo3yZ3jGGWf0+jM85phjGt43DX0muEuSJEmSJEmSJEmSJEmSJEmSJEmSBp+Xn4Up74Y7/9z9duu9FQ78JyyzZlvCkhq16qqrdlp+5JFHePXVV5tq6+677+60vMoqqzRUf6mllmLSpEl8+ctf5oILLmDq1Kn85je/6RTjrFmz+MxnPtOl7sorr9xp+d57722o76Hi8MMP77TcMaH96aef5i9/+cui5fXWW49ddtmlqX4afX87zhoPsNJKK3XZxs9Q7WKCuyRJkiRJkiRJkiRJkiRJkiRJkiRp8Hn+Xnjq5u632fpg2OcsGDO+LSFJzdhggw1YZpllFi0vWLCAm266qam2brjhhk7Lb3jDG3oTGksttRQHH3wwV111FUsttdSi8quuuopnn32207bbbbcdEbFo+V//+heZ2av+B6OJEyey0047LVo+99xzmTp1KgAnnngic+fOXbTu0EMP7fSeNeKaa65paPtrr7220/LWW2/dZZs3vvGNnZYvvPDCxgOT6mCCuyRJkiRJkiRJkiRJkiRJkiRJkiRp8JmwA7znZ9XXxTB4+/fhXT+C4SPaG5fUoIjoklh8zjnnNNzOs88+y6WXXtqpbPvtt+9NaItMmDCBN7/5zYuWM5OHH3640zYrrrgiW2yxxaLlJ554gvPPP78l/Q82RxxxxKJ/z549mylTprBgwQJOPPHEReWjR4/mgAMOaLqPc845h3nz5tW17bx58/j973/fqWyHHXbost2WW27JCiussGj56quv5vbbb286RqkWE9wlSZIkSZIkSZIkSZIkSZIkSZIkSYPTFh+CHT7VuWzkUrD3mfCGj/VPTFITJk+e3Gn5pJNO4qmnnmqoje9973udEp432WSTqrN0N2vEiM6DRYwePbrLNkceeWSn5aOPPpqXX365ZTEMFrvtthurrbbaouXf/OY3/P3vf+eRRx5ZVPbBD36Q5Zdfvuk+nnnmGX75y1/Wte3Pf/5znn322UXLm2yyCVtuuWWX7YYNG8bhhx++aDkz+fjHP153Ir1ULxPcJUmSJEmSJEmSJEmSJEmSJEmSJEmD15u/Bhu/r/j3+NXhwH/CBm/vXZvz5sAdf4IbTul9fFIddt99d9Zdd91Fyy+99BL77LMPM2bMqKv+Oeecw7HHHtup7Oijj6667aOPPsopp5zC7Nmz647vqaee4qKLLlq0PGrUKNZZZ50u233kIx9hww03XLR81113sdtuu/HCCy/U3RfAc889xx//+MeG6gwkI0aM4JBDDlm0fO+993ZJ/j/ssMN63c+Xv/xlrr322m63ueaaa/jqV7/aqewTn/hEze0/85nPdJrF/ZJLLuGAAw5g1qxZDcX26KOPcv755zdUR4sPE9wlSZIkSZIkSZIkSZIkSZIkSZIkSYPXsGGw2/Gw5UfgoxfDqps239bz98EFX4afbAjnTIaLjoF59ScBS80aPnw4U6ZM6TRL+mWXXcbWW2/NOeecw5w5c6rWe+ihhzj88MPZe++9mT9//qLyd7zjHXzkIx+pWmfatGlMnjyZtdZaiyOPPJKLL76YV199teq2mcm//vUvJk2a1CnZfvfdd2fcuHFV9+Pcc89l/Pjxi8ouuugiNt10U3796193m7A/bdo0zj77bPbZZx/WXHPNLgn7g80hhxzS6fN89NFHF/37da97HW984xt71f6yyy7LzJkz2XXXXTnuuOO6HCNz5szhuOOOY9ddd2XmzJmLynfYYQcOPPDAmu2OHz+es88+u1Psp512GltuuSWnn356t4nuTz31FCeffDLvfe97WWeddTj77LN7sYcaykb0vIkkSZIkSZIkSZIkSZIkSZIkSZIkSQPYyCXgvT9vvv60B+HPR8CjV3Uuf3Ua3P032OQDvYtPqsMOO+zAL37xCw4//HAWLFgAwD333MOee+7JEksswZZbbsnKK6/MmDFjeOGFF7j33nt54IEHurSz6aabctpppxER3fb37LPP8stf/pJf/vKXDB8+nA033JC11lqLZZZZBihmUb/lllt47rnnOtVbaaWV+MlPflKz3YkTJ/KHP/yBPfbYgxdffBGAxx9/nMMPP5yjjjqK173uday11lqMHz+eV155henTp3Pvvffy+OOPN/J2DXirrroqu+22G+ecc06Xda2Yvf3YY4/lwAMP5KWXXuKwww7ji1/8Ittuuy3LLbccU6dO5brrrmP69Omd6qy22mqceuqpDBvW/fzZb37zm5kyZQoHHXQQs2cXg3zcddddfOhDH+LAAw9k8803Z7XVVmPs2LG8/PLLTJs2jbvvvptnn3221/ulxYMJ7pIkSZIkSZIkSZIkSZIkSZIkSZKkgeepW+Cef8Kkz/d9X2NXhqdvq77uhlNMcFfbHHrooay99tp8+MMf7pQs/Oqrr3LllVf2WH/fffflhBNOYMkll2yo3/nz53PHHXdwxx13dLvdxhtvzHnnnceqq67a7Xa77LIL119/Pfvssw/XX399p35uvvlmbr755h5jWnbZZeuKfSA74ogjuiS4jx07lg996EO9bnuHHXbgzDPPZL/99mP27NlMnz6dCy64oOb2a6+9NhdccAFrr712Xe3vt99+bLDBBuyzzz7cf//9i8rnzJnDddddV1cbQ+EzVN/ofogFSZIkSZIkSZIkSZIkSZIkSZIkSZLa7Z7z4aR3wKXfgWt/0/f9jVoKXrdH9XUPXVbM8C61ya677spDDz3Esccey6abbtrjTOxLL700++yzDzfccAOnn356j8ntEydO5Pzzz+eoo45i4sSJPc7mDbDlllvyy1/+kltuuYX11luvrv1Yb731uO666/jrX//KLrvswujRo3uss9FGG3HUUUdx+eWX88c//rGufgaynXbaiU022aRT2X777ce4ceNa0v4HPvABbrjhBj7wgQ/UfH+XW245vvCFL3D77bez/vrrN9T+Vlttxd13381pp53Gdtttx4gR3c+7PWzYMLbYYgs+97nPceONN/LTn/60of60+IjM7O8YJA1iETERuH3h8u23387EiRP7MSJJkiRJkiRJkiRJkiRJkiRJkiQNWplwza/hgi8Bldy3GAb7nA2v3bVv+37yJvjNpOrrdvg07PL1vu1/gJs3bx733Xdfp7L111+/x4RX9d4LL7zANddcw1NPPcULL7zArFmzWGaZZVhuueXYaKON2HTTTetKUq/lpZde4o477uChhx7imWeeYebMmYwcOZLx48czYcIENt988x5nbK/HrFmzuPbaa3nkkUeYOnUqM2fOZKmllmLZZZdlvfXWY6ONNmL55ZfvdT8Dzfbbb89VV121aPmmm25i8803b7idyZMnc8oppyxafuihh5gwYcKi5RdeeIErr7ySJ554gmnTprHCCiuw7rrrsuOOOzJy5Mje7MIiM2bM4JprruHxxx9n2rRpzJo1i7Fjx7L88suz/vrrs9FGGzF+/PiW9KX/6avz7x133FEegGGTzLyjV43WySuHJEmSJEmSJEmSJEmSJEm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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=[16,5], dpi = 300)\n",
"sns.lineplot(data=tx_user_type_revenue, x=\"InvoiceYearMonth\", y=\"Revenue\", hue=\"UserType\", style=\"UserType\")\n",
"plt.title('Monthly Revenue for First-time and Returning Customers')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Number of First-time Customers by Month"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"InvoiceYearMonth\n",
"201012 871\n",
"201101 362\n",
"201102 339\n",
"201103 408\n",
"201104 276\n",
"201105 252\n",
"201106 207\n",
"201107 172\n",
"201108 140\n",
"201109 275\n",
"201110 318\n",
"201111 296\n",
"201112 34\n",
"Name: CustomerID, dtype: int64"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.query(\"UserType == 'First-time'\").groupby(['InvoiceYearMonth'])['CustomerID'].nunique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Number of Returning Customers by Month"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"InvoiceYearMonth\n",
"201101 322\n",
"201102 375\n",
"201103 515\n",
"201104 541\n",
"201105 733\n",
"201106 736\n",
"201107 727\n",
"201108 727\n",
"201109 902\n",
"201110 967\n",
"201111 1252\n",
"201112 583\n",
"Name: CustomerID, dtype: int64"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.query(\"UserType == 'Returning'\").groupby(['InvoiceYearMonth'])['CustomerID'].nunique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.3. Customer Signup Date"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>2011-01-18 10:01:00</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>2010-12-05 15:38:00</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>2010-12-01 12:48:00</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>2011-05-10 15:25:00</td>\n",
" <td>201105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>2011-01-17 12:34:00</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID MinPurchaseDate MinPurchaseYearMonth\n",
"0 12346.0 2011-01-18 10:01:00 201101\n",
"1 12747.0 2010-12-05 15:38:00 201012\n",
"2 12748.0 2010-12-01 12:48:00 201012\n",
"3 12749.0 2011-05-10 15:25:00 201105\n",
"4 12820.0 2011-01-17 12:34:00 201101"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_min_purchase.head()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"unq_month_year = tx_min_purchase.MinPurchaseYearMonth.unique()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"def generate_signup_date(year_month):\n",
" signup_date = [el for el in unq_month_year if year_month >= el]\n",
" return np.random.choice(signup_date)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"tx_min_purchase['SignupYearMonth'] = tx_min_purchase.apply(lambda row: generate_signup_date(row['MinPurchaseYearMonth']),axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"tx_min_purchase['InstallYearMonth'] = tx_min_purchase.apply(lambda row: generate_signup_date(row['SignupYearMonth']),axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" <th>SignupYearMonth</th>\n",
" <th>InstallYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>2011-01-18 10:01:00</td>\n",
" <td>201101</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>2010-12-05 15:38:00</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>2010-12-01 12:48:00</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>2011-05-10 15:25:00</td>\n",
" <td>201105</td>\n",
" <td>201103</td>\n",
" <td>201102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>2011-01-17 12:34:00</td>\n",
" <td>201101</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID MinPurchaseDate MinPurchaseYearMonth SignupYearMonth \\\n",
"0 12346.0 2011-01-18 10:01:00 201101 201012 \n",
"1 12747.0 2010-12-05 15:38:00 201012 201012 \n",
"2 12748.0 2010-12-01 12:48:00 201012 201012 \n",
"3 12749.0 2011-05-10 15:25:00 201105 201103 \n",
"4 12820.0 2011-01-17 12:34:00 201101 201012 \n",
"\n",
" InstallYearMonth \n",
"0 201012 \n",
"1 201012 \n",
"2 201012 \n",
"3 201102 \n",
"4 201012 "
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_min_purchase.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.4 Monthly Retention Rate\n",
"\n",
"Retention rate should be monitored very closely because it indicates how sticky is your service and how well the product fits the market. \n",
"\n",
"For making Monthly Retention Rate visualized, we need to calculate how many customers retained from previous month.\n",
"\n",
"\n",
"Monthly Retention Rate = Retained Customers From Prev. Month / Total Active Customers\n"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" <th>UserType</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536365</td>\n",
" <td>85123A</td>\n",
" <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.55</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>15.30</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536365</td>\n",
" <td>71053</td>\n",
" <td>WHITE METAL LANTERN</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536365</td>\n",
" <td>84406B</td>\n",
" <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
" <td>8</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>2.75</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>22.00</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536365</td>\n",
" <td>84029G</td>\n",
" <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536365</td>\n",
" <td>84029E</td>\n",
" <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
" <td>6</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>3.39</td>\n",
" <td>17850.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201012</td>\n",
" <td>20.34</td>\n",
" <td>2010-12-01 08:26:00</td>\n",
" <td>201012</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \n",
"1 536365 71053 WHITE METAL LANTERN 6 \n",
"2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n",
"3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n",
"4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country \\\n",
"0 2010-12-01 08:26:00 2.55 17850.0 United Kingdom \n",
"1 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"2 2010-12-01 08:26:00 2.75 17850.0 United Kingdom \n",
"3 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"4 2010-12-01 08:26:00 3.39 17850.0 United Kingdom \n",
"\n",
" InvoiceYearMonth Revenue MinPurchaseDate MinPurchaseYearMonth \\\n",
"0 201012 15.30 2010-12-01 08:26:00 201012 \n",
"1 201012 20.34 2010-12-01 08:26:00 201012 \n",
"2 201012 22.00 2010-12-01 08:26:00 201012 \n",
"3 201012 20.34 2010-12-01 08:26:00 201012 \n",
"4 201012 20.34 2010-12-01 08:26:00 201012 \n",
"\n",
" UserType \n",
"0 First-time \n",
"1 First-time \n",
"2 First-time \n",
"3 First-time \n",
"4 First-time "
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.head()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"df_monthly_active = tx_uk.groupby('InvoiceYearMonth')['CustomerID'].nunique().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"tx_user_purchase = tx_uk.groupby(['CustomerID','InvoiceYearMonth'])['Revenue'].sum().astype(int).reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" <th></th>\n",
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" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>201101</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>201012</td>\n",
" <td>706</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12747.0</td>\n",
" <td>201101</td>\n",
" <td>303</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12747.0</td>\n",
" <td>201103</td>\n",
" <td>310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12747.0</td>\n",
" <td>201105</td>\n",
" <td>771</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12325</th>\n",
" <td>18283.0</td>\n",
" <td>201110</td>\n",
" <td>114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12326</th>\n",
" <td>18283.0</td>\n",
" <td>201111</td>\n",
" <td>651</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12327</th>\n",
" <td>18283.0</td>\n",
" <td>201112</td>\n",
" <td>208</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12328</th>\n",
" <td>18287.0</td>\n",
" <td>201105</td>\n",
" <td>765</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12329</th>\n",
" <td>18287.0</td>\n",
" <td>201110</td>\n",
" <td>1072</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>12330 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" CustomerID InvoiceYearMonth Revenue\n",
"0 12346.0 201101 0\n",
"1 12747.0 201012 706\n",
"2 12747.0 201101 303\n",
"3 12747.0 201103 310\n",
"4 12747.0 201105 771\n",
"... ... ... ...\n",
"12325 18283.0 201110 114\n",
"12326 18283.0 201111 651\n",
"12327 18283.0 201112 208\n",
"12328 18287.0 201105 765\n",
"12329 18287.0 201110 1072\n",
"\n",
"[12330 rows x 3 columns]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user_purchase"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"tx_retention = pd.crosstab(tx_user_purchase['CustomerID'], tx_user_purchase['InvoiceYearMonth']).reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>InvoiceYearMonth</th>\n",
" <th>CustomerID</th>\n",
" <th>201012</th>\n",
" <th>201101</th>\n",
" <th>201102</th>\n",
" <th>201103</th>\n",
" <th>201104</th>\n",
" <th>201105</th>\n",
" <th>201106</th>\n",
" <th>201107</th>\n",
" <th>201108</th>\n",
" <th>201109</th>\n",
" <th>201110</th>\n",
" <th>201111</th>\n",
" <th>201112</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
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" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"InvoiceYearMonth CustomerID 201012 201101 201102 201103 201104 201105 \\\n",
"0 12346.0 0 1 0 0 0 0 \n",
"1 12747.0 1 1 0 1 0 1 \n",
"2 12748.0 1 1 1 1 1 1 \n",
"3 12749.0 0 0 0 0 0 1 \n",
"4 12820.0 0 1 0 0 0 0 \n",
"\n",
"InvoiceYearMonth 201106 201107 201108 201109 201110 201111 201112 \n",
"0 0 0 0 0 0 0 0 \n",
"1 1 0 1 0 1 1 1 \n",
"2 1 1 1 1 1 1 1 \n",
"3 0 0 1 0 0 1 1 \n",
"4 0 0 0 1 1 0 1 "
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_retention.head()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"months = tx_retention.columns[2:]"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index([201101, 201102, 201103, 201104, 201105, 201106, 201107, 201108, 201109,\n",
" 201110, 201111, 201112],\n",
" dtype='object', name='InvoiceYearMonth')"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"months"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"retention_array = []\n",
"for i in range(len(months)-1):\n",
" retention_data = {}\n",
" selected_month = months[i+1]\n",
" prev_month = months[i]\n",
" retention_data['InvoiceYearMonth'] = int(selected_month)\n",
" retention_data['TotalUserCount'] = tx_retention[selected_month].sum()\n",
" retention_data['RetainedUserCount'] = tx_retention[(tx_retention[selected_month]>0) & (tx_retention[prev_month]>0)][selected_month].sum()\n",
" retention_array.append(retention_data)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"tx_retention = pd.DataFrame(retention_array)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
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" <th>RetainedUserCount</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <td>201102</td>\n",
" <td>714</td>\n",
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" <tr>\n",
" <th>1</th>\n",
" <td>201103</td>\n",
" <td>923</td>\n",
" <td>305</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>201104</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>201105</td>\n",
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" <td>369</td>\n",
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" <tr>\n",
" <th>4</th>\n",
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" <td>943</td>\n",
" <td>417</td>\n",
" </tr>\n",
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],
"text/plain": [
" InvoiceYearMonth TotalUserCount RetainedUserCount\n",
"0 201102 714 263\n",
"1 201103 923 305\n",
"2 201104 817 310\n",
"3 201105 985 369\n",
"4 201106 943 417"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_retention.head()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"tx_retention['RetentionRate'] = round(tx_retention['RetainedUserCount']/tx_retention['TotalUserCount'],1)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
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" <td>310</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201105</td>\n",
" <td>985</td>\n",
" <td>369</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201106</td>\n",
" <td>943</td>\n",
" <td>417</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201107</td>\n",
" <td>899</td>\n",
" <td>379</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201108</td>\n",
" <td>867</td>\n",
" <td>391</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201109</td>\n",
" <td>1177</td>\n",
" <td>417</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201110</td>\n",
" <td>1285</td>\n",
" <td>502</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201111</td>\n",
" <td>1548</td>\n",
" <td>616</td>\n",
" <td>0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201112</td>\n",
" <td>617</td>\n",
" <td>402</td>\n",
" <td>0.7</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth TotalUserCount RetainedUserCount RetentionRate\n",
"0 201102 714 263 0.4\n",
"1 201103 923 305 0.3\n",
"2 201104 817 310 0.4\n",
"3 201105 985 369 0.4\n",
"4 201106 943 417 0.4\n",
"5 201107 899 379 0.4\n",
"6 201108 867 391 0.5\n",
"7 201109 1177 417 0.4\n",
"8 201110 1285 502 0.4\n",
"9 201111 1548 616 0.4\n",
"10 201112 617 402 0.7"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_retention"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Monthly Retention Rate significantly jumped from June to August and went back to previous levels afterwards."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Monthly Retention Rate')"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"txx_retention = tx_retention.copy()\n",
"txx_retention['InvoiceYearMonth'] = txx_retention['InvoiceYearMonth'].astype(str)\n",
"plt.figure(figsize=[16,5], dpi = 300)\n",
"sns.lineplot(data=txx_retention, x=\"InvoiceYearMonth\", y=\"RetentionRate\")\n",
"plt.ylim([0,0.8])\n",
"plt.title('Monthly Retention Rate')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.5 Churn Rate\n",
"\n",
"Churn rate refers to the percentange of customers from the preevious month that do not purchase in the next month.\n",
"\n",
"To make it easier, i define the timeline for churn to be the previous month, so that\n",
"\n",
" churn rate + retention rate = 1\n",
" \n",
"Hence,\n",
"\n",
" churn rate = 1 - retention rate"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>TotalUserCount</th>\n",
" <th>RetainedUserCount</th>\n",
" <th>RetentionRate</th>\n",
" <th>ChurnRate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201102</td>\n",
" <td>714</td>\n",
" <td>263</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201103</td>\n",
" <td>923</td>\n",
" <td>305</td>\n",
" <td>0.3</td>\n",
" <td>0.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201104</td>\n",
" <td>817</td>\n",
" <td>310</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201105</td>\n",
" <td>985</td>\n",
" <td>369</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201106</td>\n",
" <td>943</td>\n",
" <td>417</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201107</td>\n",
" <td>899</td>\n",
" <td>379</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>201108</td>\n",
" <td>867</td>\n",
" <td>391</td>\n",
" <td>0.5</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>201109</td>\n",
" <td>1177</td>\n",
" <td>417</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>201110</td>\n",
" <td>1285</td>\n",
" <td>502</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201111</td>\n",
" <td>1548</td>\n",
" <td>616</td>\n",
" <td>0.4</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>201112</td>\n",
" <td>617</td>\n",
" <td>402</td>\n",
" <td>0.7</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceYearMonth TotalUserCount RetainedUserCount RetentionRate \\\n",
"0 201102 714 263 0.4 \n",
"1 201103 923 305 0.3 \n",
"2 201104 817 310 0.4 \n",
"3 201105 985 369 0.4 \n",
"4 201106 943 417 0.4 \n",
"5 201107 899 379 0.4 \n",
"6 201108 867 391 0.5 \n",
"7 201109 1177 417 0.4 \n",
"8 201110 1285 502 0.4 \n",
"9 201111 1548 616 0.4 \n",
"10 201112 617 402 0.7 \n",
"\n",
" ChurnRate \n",
"0 0.6 \n",
"1 0.7 \n",
"2 0.6 \n",
"3 0.6 \n",
"4 0.6 \n",
"5 0.6 \n",
"6 0.5 \n",
"7 0.6 \n",
"8 0.6 \n",
"9 0.6 \n",
"10 0.3 "
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"txx_retention['ChurnRate'] = 1 - tx_retention['RetentionRate']\n",
"txx_retention"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Monthly Churn Rate')"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=[16,5], dpi = 300)\n",
"sns.lineplot(data=txx_retention, x=\"InvoiceYearMonth\", y=\"ChurnRate\", color='green')\n",
"plt.ylim([0, 0.8])\n",
"plt.title('Monthly Churn Rate')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2.6 Cohort-Based Retention Rate\n",
"\n",
"There is another way of measuring Retention Rate which allows us to see Retention Rate for each cohort. Cohorts are determined as first purchase year-month of the customers. We will be measuring what percentage of the customers retained after their first purchase in each month. This view will help us to see how recent and old cohorts differ regarding retention rate and if recent changes in customer experience affected new customer’s retention or not."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>201101</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>201012</td>\n",
" <td>706</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12747.0</td>\n",
" <td>201101</td>\n",
" <td>303</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12747.0</td>\n",
" <td>201103</td>\n",
" <td>310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12747.0</td>\n",
" <td>201105</td>\n",
" <td>771</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID InvoiceYearMonth Revenue\n",
"0 12346.0 201101 0\n",
"1 12747.0 201012 706\n",
"2 12747.0 201101 303\n",
"3 12747.0 201103 310\n",
"4 12747.0 201105 771"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user_purchase.head()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" <th>SignupYearMonth</th>\n",
" <th>InstallYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>2011-01-18 10:01:00</td>\n",
" <td>201101</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>2010-12-05 15:38:00</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>2010-12-01 12:48:00</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>2011-05-10 15:25:00</td>\n",
" <td>201105</td>\n",
" <td>201103</td>\n",
" <td>201102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>2011-01-17 12:34:00</td>\n",
" <td>201101</td>\n",
" <td>201012</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID MinPurchaseDate MinPurchaseYearMonth SignupYearMonth \\\n",
"0 12346.0 2011-01-18 10:01:00 201101 201012 \n",
"1 12747.0 2010-12-05 15:38:00 201012 201012 \n",
"2 12748.0 2010-12-01 12:48:00 201012 201012 \n",
"3 12749.0 2011-05-10 15:25:00 201105 201103 \n",
"4 12820.0 2011-01-17 12:34:00 201101 201012 \n",
"\n",
" InstallYearMonth \n",
"0 201012 \n",
"1 201012 \n",
"2 201012 \n",
"3 201102 \n",
"4 201012 "
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_min_purchase.head()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"tx_retention = pd.crosstab(tx_user_purchase['CustomerID'], tx_user_purchase['InvoiceYearMonth']).reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"tx_retention = pd.merge(tx_retention, tx_min_purchase[['CustomerID','MinPurchaseYearMonth']], on='CustomerID')"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>201012</th>\n",
" <th>201101</th>\n",
" <th>201102</th>\n",
" <th>201103</th>\n",
" <th>201104</th>\n",
" <th>201105</th>\n",
" <th>201106</th>\n",
" <th>201107</th>\n",
" <th>201108</th>\n",
" <th>201109</th>\n",
" <th>201110</th>\n",
" <th>201111</th>\n",
" <th>201112</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID 201012 201101 201102 201103 201104 201105 201106 201107 \\\n",
"0 12346.0 0 1 0 0 0 0 0 0 \n",
"1 12747.0 1 1 0 1 0 1 1 0 \n",
"2 12748.0 1 1 1 1 1 1 1 1 \n",
"3 12749.0 0 0 0 0 0 1 0 0 \n",
"4 12820.0 0 1 0 0 0 0 0 0 \n",
"\n",
" 201108 201109 201110 201111 201112 MinPurchaseYearMonth \n",
"0 0 0 0 0 0 201101 \n",
"1 1 0 1 1 1 201012 \n",
"2 1 1 1 1 1 201012 \n",
"3 1 0 0 1 1 201105 \n",
"4 0 1 1 0 1 201101 "
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_retention.head()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"new_column_names = [ 'm_' + str(column) for column in tx_retention.columns[:-1]]\n",
"new_column_names.append('MinPurchaseYearMonth')"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"tx_retention.columns = new_column_names"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>m_CustomerID</th>\n",
" <th>m_201012</th>\n",
" <th>m_201101</th>\n",
" <th>m_201102</th>\n",
" <th>m_201103</th>\n",
" <th>m_201104</th>\n",
" <th>m_201105</th>\n",
" <th>m_201106</th>\n",
" <th>m_201107</th>\n",
" <th>m_201108</th>\n",
" <th>m_201109</th>\n",
" <th>m_201110</th>\n",
" <th>m_201111</th>\n",
" <th>m_201112</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3945</th>\n",
" <td>18280.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>201103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3946</th>\n",
" <td>18281.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>201106</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3947</th>\n",
" <td>18282.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>201108</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3948</th>\n",
" <td>18283.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3949</th>\n",
" <td>18287.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>201105</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3950 rows × 15 columns</p>\n",
"</div>"
],
"text/plain": [
" m_CustomerID m_201012 m_201101 m_201102 m_201103 m_201104 \\\n",
"0 12346.0 0 1 0 0 0 \n",
"1 12747.0 1 1 0 1 0 \n",
"2 12748.0 1 1 1 1 1 \n",
"3 12749.0 0 0 0 0 0 \n",
"4 12820.0 0 1 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"3945 18280.0 0 0 0 1 0 \n",
"3946 18281.0 0 0 0 0 0 \n",
"3947 18282.0 0 0 0 0 0 \n",
"3948 18283.0 0 1 1 0 1 \n",
"3949 18287.0 0 0 0 0 0 \n",
"\n",
" m_201105 m_201106 m_201107 m_201108 m_201109 m_201110 m_201111 \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 1 1 0 1 0 1 1 \n",
"2 1 1 1 1 1 1 1 \n",
"3 1 0 0 1 0 0 1 \n",
"4 0 0 0 0 1 1 0 \n",
"... ... ... ... ... ... ... ... \n",
"3945 0 0 0 0 0 0 0 \n",
"3946 0 1 0 0 0 0 0 \n",
"3947 0 0 0 1 0 0 0 \n",
"3948 1 1 1 0 1 1 1 \n",
"3949 1 0 0 0 0 1 0 \n",
"\n",
" m_201112 MinPurchaseYearMonth \n",
"0 0 201101 \n",
"1 1 201012 \n",
"2 1 201012 \n",
"3 1 201105 \n",
"4 1 201101 \n",
"... ... ... \n",
"3945 0 201103 \n",
"3946 0 201106 \n",
"3947 1 201108 \n",
"3948 1 201101 \n",
"3949 0 201105 \n",
"\n",
"[3950 rows x 15 columns]"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_retention"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index([201101, 201102, 201103, 201104, 201105, 201106, 201107, 201108, 201109,\n",
" 201110, 201111, 201112],\n",
" dtype='object', name='InvoiceYearMonth')"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"months"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"#create the array of Retained users for each cohort monthly\n",
"retention_array = []\n",
"for i in range(len(months)):\n",
" retention_data = {}\n",
" selected_month = months[i]\n",
" prev_months = months[:i]\n",
" next_months = months[i+1:]\n",
" for prev_month in prev_months:\n",
" retention_data[prev_month] = np.nan\n",
" \n",
" total_user_count = tx_retention[tx_retention.MinPurchaseYearMonth == selected_month].MinPurchaseYearMonth.count()\n",
" retention_data['TotalUserCount'] = total_user_count\n",
" retention_data[selected_month] = 1 \n",
" \n",
" query = \"MinPurchaseYearMonth == {}\".format(selected_month)\n",
" \n",
"\n",
" for next_month in next_months:\n",
" new_query = query + \" and {} > 0\".format(str('m_' + str(next_month)))\n",
" retention_data[next_month] = np.round(tx_retention.query(new_query)['m_' + str(next_month)].sum()/total_user_count,2)\n",
" retention_array.append(retention_data)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"tx_retention = pd.DataFrame(retention_array)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"12"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(months)"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
"tx_retention.index = months"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"#tx_retention"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"t = tx_retention.drop('TotalUserCount', axis=1)\n",
"t = t.replace(1.0, np.nan)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Interpretation\n",
"\n",
" 23% of customers in January 2011 (201101) repurchase in February\n",
" 28% of them repurchase in March\n",
" 25% reepurchase in April\n",
" .... and so on"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Cohort-based Retention Rate')"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 4800x2400 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=[16,8], dpi = 300)\n",
"sns.heatmap(t, annot=True, cmap=\"RdYlGn\")\n",
"plt.title('Cohort-based Retention Rate')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PART B\n",
"## MARKET ATTRIBUTION MODELLING\n",
"In a typical _‘from think to buy’_ customer journey, a customer goes through multiple touch points before zeroing in on the final product to buy. This is even more prominent in the case of e-commerce sales. It is relatively easier to track which are the different touch points the customer has encountered before making the final purchase.\n",
"\n",
"As marketing moves more and more towards the consumer driven side of things, identifying the right channels to target customers has become critical for companies. This helps companies optimise their marketing spend and target the right customers in the right places.\n",
"\n",
"More often than not, companies usually invest in the last channel which customers encounter before making the final purchase. However, this may not always be the right approach. There are multiple channels preceding that channel which eventually drive the customer conversion. The underlying concept to study this behavior is known as **multi-channel attribution modeling.**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3. CHANNEL ATTRIBUTION\n",
"An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. \n",
"\n",
"In this section i will use and compare 3 channel attribution models namely: First touch, Last touch and Markov chain.\n",
"\n",
"1. **First Touch Attribution:** The First Interaction model assigns 100% credit to touchpoints that initiate conversion paths.\n",
"\n",
"2. **Last Touch Attribution:** The Last Interaction model 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions\n",
"\n",
"3. **Markov Chain:** Markov Chain Model is a model that describes a sequence of events where the probability of each event depends only on the previous one. In the specific case of attribution modeling, the graph is the set of all customer paths, and the events are the visits to our website or our app, defined by the channel that brought the customer to it. As for the model's outcome, it is simply the conversion (1/0: there is/not a conversion at the end of the sequence).\n",
"\n",
"#### Assumption\n",
"The dataset that does not contain information such as sales/marketing channels. However, for illustration purposes and to prove my knowledge of growth techniques such as **attribution modelling**, i created random sales channels and assume the conversion occurs due to one or some of these channels."
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"channels = ['TV', 'Radio', 'Facebook', 'Google', 'Instagram']\n",
"conversion = [0,1]\n",
"tx_min_purchase['Conversion'] = tx_min_purchase.apply(lambda x: np.random.choice(conversion, p=[0.65, 0.35] ),axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"\n",
"df = pd.merge(tx_uk[['InvoiceNo', 'CustomerID', 'InvoiceDate']], tx_min_purchase[['CustomerID','Conversion']], \n",
" on='CustomerID', how='inner')\n",
"df['AcqChannel'] = df.apply(lambda x: np.random.choice(channels, p=[0.08, 0.10, 0.2, 0.28, 0.34]),axis=1)\n"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>CustomerID</th>\n",
" <th>InvoiceDate</th>\n",
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"text/plain": [
" InvoiceNo CustomerID InvoiceDate Conversion AcqChannel\n",
"0 536365 17850.0 2010-12-01 08:26:00 1 Instagram\n",
"1 536365 17850.0 2010-12-01 08:26:00 1 Google\n",
"2 536365 17850.0 2010-12-01 08:26:00 1 Instagram\n",
"3 536365 17850.0 2010-12-01 08:26:00 1 Instagram\n",
"4 536365 17850.0 2010-12-01 08:26:00 1 Instagram"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
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" <td>554065</td>\n",
" <td>18287.0</td>\n",
" <td>2011-05-22 10:39:00</td>\n",
" <td>0</td>\n",
" <td>Instagram</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286059</th>\n",
" <td>554065</td>\n",
" <td>18287.0</td>\n",
" <td>2011-05-22 10:39:00</td>\n",
" <td>0</td>\n",
" <td>Instagram</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286060</th>\n",
" <td>554065</td>\n",
" <td>18287.0</td>\n",
" <td>2011-05-22 10:39:00</td>\n",
" <td>0</td>\n",
" <td>Google</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286061</th>\n",
" <td>554065</td>\n",
" <td>18287.0</td>\n",
" <td>2011-05-22 10:39:00</td>\n",
" <td>0</td>\n",
" <td>Instagram</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo CustomerID InvoiceDate Conversion AcqChannel \\\n",
"286057 554065 18287.0 2011-05-22 10:39:00 0 Instagram \n",
"286058 554065 18287.0 2011-05-22 10:39:00 0 Instagram \n",
"286059 554065 18287.0 2011-05-22 10:39:00 0 Instagram \n",
"286060 554065 18287.0 2011-05-22 10:39:00 0 Google \n",
"286061 554065 18287.0 2011-05-22 10:39:00 0 Instagram \n",
"\n",
" visit_order \n",
"286057 1 \n",
"286058 2 \n",
"286059 3 \n",
"286060 4 \n",
"286061 5 "
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = df.sort_values(['CustomerID', 'InvoiceDate'],\n",
" ascending=[False, True])\n",
"df['visit_order'] = df.groupby('CustomerID').cumcount() + 1\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>AcqChannel</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>[TV, Instagram]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>[Google, Instagram, Radio, Facebook, TV]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>[TV, Google, Instagram, Facebook, Radio]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>[Google, Facebook, Radio, Instagram, TV]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>[Instagram, Facebook, Google, Radio, TV]</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID AcqChannel\n",
"0 12346.0 [TV, Instagram]\n",
"1 12747.0 [Google, Instagram, Radio, Facebook, TV]\n",
"2 12748.0 [TV, Google, Instagram, Facebook, Radio]\n",
"3 12749.0 [Google, Facebook, Radio, Instagram, TV]\n",
"4 12820.0 [Instagram, Facebook, Google, Radio, TV]"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_paths = df.groupby('CustomerID')['AcqChannel'].aggregate(\n",
" lambda x: x.unique().tolist()).reset_index()\n",
" \n",
"df_paths.head()"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"df_last_interaction = df.drop_duplicates('CustomerID', keep='last')[['CustomerID', 'Conversion']]\n",
"\n",
"df_paths = pd.merge(df_paths, df_last_interaction, how='left', on='CustomerID')\n"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"df_paths['path'] = np.where(df_paths['Conversion'] == 0,\n",
" ['Start, '] + df_paths['AcqChannel'].apply(', '.join) + [', Null'],\n",
" ['Start, '] + df_paths['AcqChannel'].apply(', '.join) + [', Conversion'])\n",
"\n",
"df_paths['path'] = df_paths['path'].str.split(', ')"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
"df_paths = df_paths[['CustomerID', 'path']]"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>path</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>[Start, TV, Instagram, Null]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>[Start, Google, Instagram, Radio, Facebook, TV...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>[Start, TV, Google, Instagram, Facebook, Radio...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>[Start, Google, Facebook, Radio, Instagram, TV...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>[Start, Instagram, Facebook, Google, Radio, TV...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID path\n",
"0 12346.0 [Start, TV, Instagram, Null]\n",
"1 12747.0 [Start, Google, Instagram, Radio, Facebook, TV...\n",
"2 12748.0 [Start, TV, Google, Instagram, Facebook, Radio...\n",
"3 12749.0 [Start, Google, Facebook, Radio, Instagram, TV...\n",
"4 12820.0 [Start, Instagram, Facebook, Google, Radio, TV..."
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_paths.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.1 Markov Chains\n",
"\n",
"The algorithm for Markov Chains can be summarized in 2 steps:\n",
"- Calculate transition probabilities between all states in our state-space\n",
"- Calculate removal effects (for more info on removal effects, see part 1)\n",
"\n",
"I’ll start by defining a list of all user journeys, the number of total conversion and the base level conversion rate."
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [],
"source": [
"#_________function to calculate transition states\n",
"\n",
"list_of_paths = df_paths['path']\n",
"total_conversions = sum(path.count('Conversion') for path in df_paths['path'].tolist())\n",
"base_conversion_rate = total_conversions / len(list_of_paths)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Function that identifies all potential state transitions and outputs a dictionary containing these. \n",
"I’ll use this as an input when calculating transition probabilities\n"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
"def transition_states(list_of_paths):\n",
" list_of_unique_channels = set(x for element in list_of_paths for x in element)\n",
" transition_states = {x + '>' + y: 0 for x in list_of_unique_channels for y in list_of_unique_channels}\n",
"\n",
" for possible_state in list_of_unique_channels:\n",
" if possible_state not in ['Conversion', 'Null']:\n",
" for user_path in list_of_paths:\n",
" if possible_state in user_path:\n",
" indices = [i for i, s in enumerate(user_path) if possible_state == s]\n",
" for col in indices:\n",
" transition_states[user_path[col] + '>' + user_path[col + 1]] += 1\n",
"\n",
" return transition_states\n",
"\n",
"\n",
"trans_states = transition_states(list_of_paths)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Function to calculate all transition probabilities"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": [
"def transition_prob(trans_dict):\n",
" list_of_unique_channels = set(x for element in list_of_paths for x in element)\n",
" trans_prob = defaultdict(dict)\n",
" for state in list_of_unique_channels:\n",
" if state not in ['Conversion', 'Null']:\n",
" counter = 0\n",
" index = [i for i, s in enumerate(trans_dict) if state + '>' in s]\n",
" for col in index:\n",
" if trans_dict[list(trans_dict)[col]] > 0:\n",
" counter += trans_dict[list(trans_dict)[col]]\n",
" for col in index:\n",
" if trans_dict[list(trans_dict)[col]] > 0:\n",
" state_prob = float((trans_dict[list(trans_dict)[col]])) / float(counter)\n",
" trans_prob[list(trans_dict)[col]] = state_prob\n",
"\n",
" return trans_prob\n",
"\n",
"\n",
"trans_prob = transition_prob(trans_states)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Converting Transition Probabilities to DataFrame\n",
"\n",
"To do this we’ll make use of linear algebra and matrix manipulations, therefore let’s turn our above transition probabilities dictionary into a data frame (matrix)."
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
"#_______ transition matrix__________\n",
"\n",
"def transition_matrix(list_of_paths, transition_probabilities):\n",
" trans_matrix = pd.DataFrame()\n",
" list_of_unique_channels = set(x for element in list_of_paths for x in element)\n",
"\n",
" for channel in list_of_unique_channels:\n",
" trans_matrix[channel] = 0.00\n",
" trans_matrix.loc[channel] = 0.00\n",
" trans_matrix.loc[channel][channel] = 1.0 if channel in ['Conversion', 'Null'] else 0.0\n",
"\n",
" for key, value in transition_probabilities.items():\n",
" origin, destination = key.split('>')\n",
" trans_matrix.at[origin, destination] = value\n",
"\n",
" return trans_matrix\n"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"trans_matrix = transition_matrix(list_of_paths, trans_prob)\n",
"trans_matrix = trans_matrix.round(2)\n",
"#trans_matrix.to_excel('transition_matrix.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Start</th>\n",
" <th>Null</th>\n",
" <th>Conversion</th>\n",
" <th>Radio</th>\n",
" <th>Facebook</th>\n",
" <th>Google</th>\n",
" <th>Instagram</th>\n",
" <th>TV</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Start</th>\n",
" <td>0.0</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.10</td>\n",
" <td>0.20</td>\n",
" <td>0.29</td>\n",
" <td>0.34</td>\n",
" <td>0.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Null</th>\n",
" <td>0.0</td>\n",
" <td>1.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Conversion</th>\n",
" <td>0.0</td>\n",
" <td>0.00</td>\n",
" <td>1.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Radio</th>\n",
" <td>0.0</td>\n",
" <td>0.22</td>\n",
" <td>0.12</td>\n",
" <td>0.00</td>\n",
" <td>0.16</td>\n",
" <td>0.14</td>\n",
" <td>0.13</td>\n",
" <td>0.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Facebook</th>\n",
" <td>0.0</td>\n",
" <td>0.10</td>\n",
" <td>0.07</td>\n",
" <td>0.21</td>\n",
" <td>0.00</td>\n",
" <td>0.20</td>\n",
" <td>0.21</td>\n",
" <td>0.21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Google</th>\n",
" <td>0.0</td>\n",
" <td>0.07</td>\n",
" <td>0.03</td>\n",
" <td>0.21</td>\n",
" <td>0.25</td>\n",
" <td>0.00</td>\n",
" <td>0.24</td>\n",
" <td>0.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Instagram</th>\n",
" <td>0.0</td>\n",
" <td>0.06</td>\n",
" <td>0.04</td>\n",
" <td>0.21</td>\n",
" <td>0.24</td>\n",
" <td>0.26</td>\n",
" <td>0.00</td>\n",
" <td>0.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TV</th>\n",
" <td>0.0</td>\n",
" <td>0.26</td>\n",
" <td>0.15</td>\n",
" <td>0.19</td>\n",
" <td>0.15</td>\n",
" <td>0.13</td>\n",
" <td>0.11</td>\n",
" <td>0.00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Start Null Conversion Radio Facebook Google Instagram TV\n",
"Start 0.0 0.00 0.00 0.10 0.20 0.29 0.34 0.08\n",
"Null 0.0 1.00 0.00 0.00 0.00 0.00 0.00 0.00\n",
"Conversion 0.0 0.00 1.00 0.00 0.00 0.00 0.00 0.00\n",
"Radio 0.0 0.22 0.12 0.00 0.16 0.14 0.13 0.22\n",
"Facebook 0.0 0.10 0.07 0.21 0.00 0.20 0.21 0.21\n",
"Google 0.0 0.07 0.03 0.21 0.25 0.00 0.24 0.19\n",
"Instagram 0.0 0.06 0.04 0.21 0.24 0.26 0.00 0.20\n",
"TV 0.0 0.26 0.15 0.19 0.15 0.13 0.11 0.00"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trans_matrix"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.1.1 Marketing Channels Interaction Probabilities\n",
"\n",
"The transition probabilities heatmap below visualizes how our marketing channels interacts with each other. For instance, the probability of conversion (that is, purchasing a product) after engaging with TV is 7%, the probability of a customer engaging with Facebook after watching TV is 15% and so on.\n",
"\n",
"Using historical context and the heat map above we not only gain insights into how each marketing channel is driving users towards our conversion event, but we also gain critical information around how our marketing channels are interacting with each other. Given today’s typical multi-touch conversion journeys this information can prove to be extremely valuable and allows us to optimize our multi-channel customer journeys for conversion."
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(514.1666666666667, 0.5, 'Channel from')"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 4800x2400 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"tr = trans_matrix.copy()\n",
"tr = tr.reindex(['TV','Facebook', 'Instagram', 'Radio','Google', 'Start'], axis=0)\n",
"#tr.drop('Start', axis=1, inplace=True)\n",
"tr = tr.reindex(['Conversion','Facebook', 'Instagram', 'Radio','Google','Null'], axis=1)\n",
"plt.figure(figsize=[16,8], dpi = 300)\n",
"sns.heatmap(tr, annot = True, cmap=\"Blues\", cbar = False, annot_kws={\"size\": 9})\n",
"plt.title('Transition Matrix Heatmap')\n",
"plt.xlabel('Channel to')\n",
"plt.ylabel('Channel from')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.1.2 Removal Effects Function\n",
"If we were to figure out what is the contribution of a channel in our customer’s journey from start to end conversion, we will use the principle of removal effect. **Removal effect principle** says that if we want to find the contribution of each channel in the customer journey, we can do so by removing each channel and see how many conversions are happening without that channel being in place."
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
"def removal_effects(df, conversion_rate):\n",
" removal_effects_dict = {}\n",
" channels = [channel for channel in df.columns if channel not in ['Start',\n",
" 'Null',\n",
" 'Conversion']]\n",
" for channel in channels:\n",
" removal_df = df.drop(channel, axis=1).drop(channel, axis=0)\n",
" for column in removal_df.columns:\n",
" row_sum = np.sum(list(removal_df.loc[column]))\n",
" null_pct = float(1) - row_sum\n",
" if null_pct != 0:\n",
" removal_df.loc[column]['Null'] = null_pct\n",
" removal_df.loc['Null']['Null'] = 1.0\n",
"\n",
" removal_to_conv = removal_df[\n",
" ['Null', 'Conversion']].drop(['Null', 'Conversion'], axis=0)\n",
" removal_to_non_conv = removal_df.drop(\n",
" ['Null', 'Conversion'], axis=1).drop(['Null', 'Conversion'], axis=0)\n",
"\n",
" removal_inv_diff = np.linalg.inv(\n",
" np.identity(\n",
" len(removal_to_non_conv.columns)) - np.asarray(removal_to_non_conv))\n",
" removal_dot_prod = np.dot(removal_inv_diff, np.asarray(removal_to_conv))\n",
" removal_cvr = pd.DataFrame(removal_dot_prod,\n",
" index=removal_to_conv.index)[[1]].loc['Start'].values[0]\n",
" removal_effect = 1 - removal_cvr / conversion_rate\n",
" removal_effects_dict[channel] = removal_effect\n",
"\n",
" return removal_effects_dict\n"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
"removal_effects_dict = removal_effects(trans_matrix, base_conversion_rate)\n",
"\n",
"remov = pd.DataFrame.from_dict(removal_effects_dict, orient = 'index')\n",
"remov.reset_index(inplace=True)\n",
"remov.columns = ['channel','removal_effects']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Total number of conversion attributed to each channel by the Markov Chain algorithm:"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [],
"source": [
"def markov_chain_allocations(removal_effects, total_conversions):\n",
" re_sum = np.sum(list(removal_effects.values()))\n",
"\n",
" return {k: (v / re_sum) * total_conversions for k, v in removal_effects.items()}\n",
"\n",
"\n",
"attributions = markov_chain_allocations(removal_effects_dict, total_conversions)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [],
"source": [
"attrib = pd.DataFrame.from_dict(attributions, orient='index')\n",
"attrib.reset_index(inplace = True)\n",
"attrib.columns = ['channel','attributed_conversions']\n",
"attrib['attributed_conversions'] = attrib['attributed_conversions'].astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>channel</th>\n",
" <th>removal_effects</th>\n",
" <th>attributed_conversions</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Instagram</td>\n",
" <td>0.6</td>\n",
" <td>302</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Facebook</td>\n",
" <td>0.6</td>\n",
" <td>289</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Google</td>\n",
" <td>0.6</td>\n",
" <td>284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>TV</td>\n",
" <td>0.6</td>\n",
" <td>279</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Radio</td>\n",
" <td>0.6</td>\n",
" <td>275</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" channel removal_effects attributed_conversions\n",
"3 Instagram 0.6 302\n",
"1 Facebook 0.6 289\n",
"2 Google 0.6 284\n",
"4 TV 0.6 279\n",
"0 Radio 0.6 275"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"full_conversion = remov.merge(attrib, on = 'channel')\n",
"full_conversion['removal_effects'] = full_conversion['removal_effects'].round(1)\n",
"full_conversion = full_conversion.sort_values(by='attributed_conversions', ascending=False)\n",
"full_conversion"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Total Number of Conversions to each Channel by Markov Chain')"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4500x3000 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(15,10), dpi=300)\n",
"#sns.set_style(\"whitegrid\")\n",
"sns.barplot(\"channel\", y=\"attributed_conversions\", data=full_conversion)\n",
"plt.xlabel('Marketing Channel')\n",
"plt.ylabel('Number of conversions')\n",
"plt.title('Total Number of Conversions to each Channel by Markov Chain')\n",
"#plt.savefig('Attribution.eps', format = 'eps', dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.2 First Touch Attribution\n",
"The revenue generated by the purchase is attributed to the first marketing channel the user engaged with, on the journey towards the purchase.\n"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>channel</th>\n",
" <th>first</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Facebook</td>\n",
" <td>266</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Google</td>\n",
" <td>430</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Instagram</td>\n",
" <td>473</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Radio</td>\n",
" <td>144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>TV</td>\n",
" <td>117</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" channel first\n",
"0 Facebook 266\n",
"1 Google 430\n",
"2 Instagram 473\n",
"3 Radio 144\n",
"4 TV 117"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"########################################################\n",
"#___________ FIRST INTERACTION\n",
"########################################################\n",
"\n",
"df_first = df.drop_duplicates('CustomerID', keep='first')[['CustomerID', 'AcqChannel','Conversion']]\n",
"df_first = pd.DataFrame(df_first.groupby('AcqChannel')['Conversion'].sum())\n",
"df_first.reset_index(inplace= True)\n",
"df_first = df_first.rename(columns = {'AcqChannel': 'channel', 'Conversion':'first'})\n",
"\n",
"df_first"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.3 Last Touch Attribution\n",
"\n",
"As the name suggests, Last Touch is the attribution approach where any revenue generated is attributed to the marketing channel that a user last engaged with.\n",
"While this approach has its advantage in its simplicity, we run the risk of oversimplifying our attribution, as the last touch isn’t necessarily the marketing activity that generates the purchase."
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>channel</th>\n",
" <th>last</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Facebook</td>\n",
" <td>274</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Google</td>\n",
" <td>381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Instagram</td>\n",
" <td>511</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Radio</td>\n",
" <td>151</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>TV</td>\n",
" <td>113</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" channel last\n",
"0 Facebook 274\n",
"1 Google 381\n",
"2 Instagram 511\n",
"3 Radio 151\n",
"4 TV 113"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"########################################################\n",
"#___________ LAST INTERACTION\n",
"########################################################\n",
"\n",
"df_last = df.drop_duplicates('CustomerID', keep='last')[['CustomerID', 'AcqChannel','Conversion']]\n",
"df_last = pd.DataFrame(df_last.groupby('AcqChannel')['Conversion'].sum())\n",
"df_last.reset_index(inplace = True)\n",
"df_last = df_last.rename(columns = {'AcqChannel': 'channel', 'Conversion':'last'})\n",
"df_last"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.4 Comparing First, Last and Markov Touch Attribution"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>channel</th>\n",
" <th>markov</th>\n",
" <th>first</th>\n",
" <th>last</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Instagram</td>\n",
" <td>302</td>\n",
" <td>473</td>\n",
" <td>511</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Facebook</td>\n",
" <td>289</td>\n",
" <td>266</td>\n",
" <td>274</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Google</td>\n",
" <td>284</td>\n",
" <td>430</td>\n",
" <td>381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>TV</td>\n",
" <td>279</td>\n",
" <td>117</td>\n",
" <td>113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Radio</td>\n",
" <td>275</td>\n",
" <td>144</td>\n",
" <td>151</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" channel markov first last\n",
"0 Instagram 302 473 511\n",
"1 Facebook 289 266 274\n",
"2 Google 284 430 381\n",
"3 TV 279 117 113\n",
"4 Radio 275 144 151"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"full_conversion = full_conversion.rename(columns = {'attributed_conversions': 'markov'})\n",
"full_conversion = full_conversion.drop(['removal_effects'], axis=1)\n",
"\n",
"full_conversion = pd.merge(full_conversion, df_first, on ='channel', how = 'inner')\n",
"full_conversion = pd.merge(full_conversion, df_last, on ='channel', how = 'inner')\n",
"\n",
"full_conversion.reset_index(inplace = True, drop = True)\n",
"full_conversion"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>channel</th>\n",
" <th>model</th>\n",
" <th>num_of_conversions</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Instagram</td>\n",
" <td>markov</td>\n",
" <td>302</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Facebook</td>\n",
" <td>markov</td>\n",
" <td>289</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Google</td>\n",
" <td>markov</td>\n",
" <td>284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>TV</td>\n",
" <td>markov</td>\n",
" <td>279</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Radio</td>\n",
" <td>markov</td>\n",
" <td>275</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Instagram</td>\n",
" <td>first</td>\n",
" <td>473</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Facebook</td>\n",
" <td>first</td>\n",
" <td>266</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Google</td>\n",
" <td>first</td>\n",
" <td>430</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>TV</td>\n",
" <td>first</td>\n",
" <td>117</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Radio</td>\n",
" <td>first</td>\n",
" <td>144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Instagram</td>\n",
" <td>last</td>\n",
" <td>511</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Facebook</td>\n",
" <td>last</td>\n",
" <td>274</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Google</td>\n",
" <td>last</td>\n",
" <td>381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>TV</td>\n",
" <td>last</td>\n",
" <td>113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Radio</td>\n",
" <td>last</td>\n",
" <td>151</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" channel model num_of_conversions\n",
"0 Instagram markov 302\n",
"1 Facebook markov 289\n",
"2 Google markov 284\n",
"3 TV markov 279\n",
"4 Radio markov 275\n",
"5 Instagram first 473\n",
"6 Facebook first 266\n",
"7 Google first 430\n",
"8 TV first 117\n",
"9 Radio first 144\n",
"10 Instagram last 511\n",
"11 Facebook last 274\n",
"12 Google last 381\n",
"13 TV last 113\n",
"14 Radio last 151"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"full_conv2 = pd.melt(full_conversion, id_vars=['channel'])\n",
"full_conv2.columns = ['channel', 'model', 'num_of_conversions']\n",
"full_conv2"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Number of Conversions')"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
},
{
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"text/plain": [
"<Figure size 4500x3000 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(15,10), dpi=300)\n",
"sns.barplot(x=\"channel\", y=\"num_of_conversions\", hue=\"model\", data=full_conv2)\n",
"#sns.catplot(x=\"channel\", y=\"value\", hue=\"variable\", kind=\"bar\", data=full_conv2)\n",
"plt.title('Marketing Attribution to Marketing Channel by Model')\n",
"plt.xlabel('Marketing Channel')\n",
"plt.ylabel('Number of Conversions')"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fd3c93c86a0>"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1058.4x504 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.catplot(x=\"channel\", y=\"num_of_conversions\", col=\"model\", data=full_conv2, kind=\"bar\", height=7, aspect=.7)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PART C\n",
"# 4. CUSTOMER SEGMENTATION\n",
"\n",
"#### But first off, why we do segmentation?\n",
"\n",
"Because we can’t treat every customer the same way with the same content, same channel, same importance. They will find another option which understands them better.\n",
"\n",
"Customers who use our platform have different needs and they have their own different profile. We should adapt our actions depending on that. We can do different segmentations according to what we are trying to achieve. If we want to increase retention rate, we can do a segmentation based on churn probability and take actions. But there are very common and useful segmentation methods as well. \n",
"\n",
"In this section, i will implement one of them to the data: RFM which means Recency, Frequency and Montary value segmentation.\n",
"\n",
"We can have customer segments such as these:\n",
"\n",
"1. **Low Value:** Customers who are less active than others, not very frequent buyer/visitor and generates very low - zero - maybe negative revenue.\n",
"\n",
"2. **Mid Value:** In the middle of everything. Often using our platform (but not as much as our High Values), fairly frequent and generates moderate revenue.\n",
"\n",
"3. **High Value:** The group we don’t want to lose. High Revenue, Frequency and low Inactivity."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We need to calculate Recency, Frequency and Monetary Value (we will call it Revenue from now on) and apply unsupervised machine learning to identify different groups (clusters) for each.\n",
"\n",
"In summary, we would prefer customers with:\n",
"\n",
"- Low recency (that is purchase our product recently) to high recency (purhcase our products many weeks ago).\n",
"- High Frequency (purchases frequently)\n",
"- Highy Monetary value (Revenue)\n"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"from __future__ import division\n",
"from datetime import datetime, timedelta"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" <th>InvoiceYearMonth</th>\n",
" <th>Revenue</th>\n",
" <th>MinPurchaseDate</th>\n",
" <th>MinPurchaseYearMonth</th>\n",
" <th>UserType</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>361873</th>\n",
" <td>581416</td>\n",
" <td>22809</td>\n",
" <td>SET OF 6 T-LIGHTS SANTA</td>\n",
" <td>1</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>2.95</td>\n",
" <td>14569.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201112</td>\n",
" <td>2.95</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>361874</th>\n",
" <td>581416</td>\n",
" <td>22807</td>\n",
" <td>SET OF 6 T-LIGHTS TOADSTOOLS</td>\n",
" <td>2</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>1.25</td>\n",
" <td>14569.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201112</td>\n",
" <td>2.50</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>361875</th>\n",
" <td>581416</td>\n",
" <td>72349B</td>\n",
" <td>SET/6 PURPLE BUTTERFLY T-LIGHTS</td>\n",
" <td>1</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>2.10</td>\n",
" <td>14569.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201112</td>\n",
" <td>2.10</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>361876</th>\n",
" <td>581416</td>\n",
" <td>22809</td>\n",
" <td>SET OF 6 T-LIGHTS SANTA</td>\n",
" <td>2</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>2.95</td>\n",
" <td>14569.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201112</td>\n",
" <td>5.90</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" <tr>\n",
" <th>361877</th>\n",
" <td>581416</td>\n",
" <td>23487</td>\n",
" <td>SWEET HEART CAKE CARRIER</td>\n",
" <td>1</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>9.95</td>\n",
" <td>14569.0</td>\n",
" <td>United Kingdom</td>\n",
" <td>201112</td>\n",
" <td>9.95</td>\n",
" <td>2011-12-08 14:58:00</td>\n",
" <td>201112</td>\n",
" <td>First-time</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"361873 581416 22809 SET OF 6 T-LIGHTS SANTA 1 \n",
"361874 581416 22807 SET OF 6 T-LIGHTS TOADSTOOLS 2 \n",
"361875 581416 72349B SET/6 PURPLE BUTTERFLY T-LIGHTS 1 \n",
"361876 581416 22809 SET OF 6 T-LIGHTS SANTA 2 \n",
"361877 581416 23487 SWEET HEART CAKE CARRIER 1 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country \\\n",
"361873 2011-12-08 14:58:00 2.95 14569.0 United Kingdom \n",
"361874 2011-12-08 14:58:00 1.25 14569.0 United Kingdom \n",
"361875 2011-12-08 14:58:00 2.10 14569.0 United Kingdom \n",
"361876 2011-12-08 14:58:00 2.95 14569.0 United Kingdom \n",
"361877 2011-12-08 14:58:00 9.95 14569.0 United Kingdom \n",
"\n",
" InvoiceYearMonth Revenue MinPurchaseDate MinPurchaseYearMonth \\\n",
"361873 201112 2.95 2011-12-08 14:58:00 201112 \n",
"361874 201112 2.50 2011-12-08 14:58:00 201112 \n",
"361875 201112 2.10 2011-12-08 14:58:00 201112 \n",
"361876 201112 5.90 2011-12-08 14:58:00 201112 \n",
"361877 201112 9.95 2011-12-08 14:58:00 201112 \n",
"\n",
" UserType \n",
"361873 First-time \n",
"361874 First-time \n",
"361875 First-time \n",
"361876 First-time \n",
"361877 First-time "
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_uk.tail()"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [],
"source": [
"tx_user = pd.DataFrame(tx_uk['CustomerID'].unique())\n",
"tx_user.columns = ['CustomerID']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4.1 Recency"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [],
"source": [
"tx_max_purchase = tx_uk.groupby('CustomerID').InvoiceDate.max().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [],
"source": [
"tx_max_purchase.columns = ['CustomerID','MaxPurchaseDate']"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [],
"source": [
"tx_max_purchase['Recency'] = (tx_max_purchase['MaxPurchaseDate'].max() - tx_max_purchase['MaxPurchaseDate']).dt.days"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [],
"source": [
"tx_user = pd.merge(tx_user, tx_max_purchase[['CustomerID','Recency']], on='CustomerID')"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Recency</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17850.0</td>\n",
" <td>301</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>13047.0</td>\n",
" <td>31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>13748.0</td>\n",
" <td>95</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>15100.0</td>\n",
" <td>329</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>15291.0</td>\n",
" <td>25</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Recency\n",
"0 17850.0 301\n",
"1 13047.0 31\n",
"2 13748.0 95\n",
"3 15100.0 329\n",
"4 15291.0 25"
]
},
"execution_count": 106,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.head()"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 3950.000000\n",
"mean 90.778481\n",
"std 100.230349\n",
"min 0.000000\n",
"25% 16.000000\n",
"50% 49.000000\n",
"75% 142.000000\n",
"max 373.000000\n",
"Name: Recency, dtype: float64"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.Recency.describe()"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Recency')"
]
},
"execution_count": 108,
"metadata": {},
"output_type": "execute_result"
},
{
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#tx_user.plot(y='Recency', kind='hist', figsize=(16,5), legend=False)\n",
"plt.figure(figsize=(16,5), dpi=300)\n",
"tx_user['Recency'].plot.hist()\n",
"plt.title('Histogram of Recency')\n",
"plt.xlabel('Recency')"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [],
"source": [
"\n",
"sse={}\n",
"tx_recency = tx_user[['Recency']]\n",
"for k in range(1, 10):\n",
" kmeans = KMeans(n_clusters=k, max_iter=1000).fit(tx_recency)\n",
" tx_recency[\"clusters\"] = kmeans.labels_\n",
" sse[k] = kmeans.inertia_ \n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"plt.plot(list(sse.keys()), list(sse.values()))\n",
"plt.xlabel(\"Number of cluster\")\n",
"plt.title('Number of clusters for Recency and SSE')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [],
"source": [
"kmeans = KMeans(n_clusters=3)\n",
"kmeans.fit(tx_user[['Recency']])\n",
"tx_user['RecencyCluster'] = kmeans.predict(tx_user[['Recency']])\n"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>RecencyCluster</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>564.0</td>\n",
" <td>293.684397</td>\n",
" <td>45.612310</td>\n",
" <td>224.0</td>\n",
" <td>255.0</td>\n",
" <td>286.5</td>\n",
" <td>326.75</td>\n",
" <td>373.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2651.0</td>\n",
" <td>30.307808</td>\n",
" <td>24.994104</td>\n",
" <td>0.0</td>\n",
" <td>9.0</td>\n",
" <td>24.0</td>\n",
" <td>49.00</td>\n",
" <td>91.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>735.0</td>\n",
" <td>153.185034</td>\n",
" <td>38.155512</td>\n",
" <td>92.0</td>\n",
" <td>119.0</td>\n",
" <td>153.0</td>\n",
" <td>185.00</td>\n",
" <td>222.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count mean std min 25% 50% 75% \\\n",
"RecencyCluster \n",
"0 564.0 293.684397 45.612310 224.0 255.0 286.5 326.75 \n",
"1 2651.0 30.307808 24.994104 0.0 9.0 24.0 49.00 \n",
"2 735.0 153.185034 38.155512 92.0 119.0 153.0 185.00 \n",
"\n",
" max \n",
"RecencyCluster \n",
"0 373.0 \n",
"1 91.0 \n",
"2 222.0 "
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.groupby('RecencyCluster')['Recency'].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Function to rearrange clusters"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [],
"source": [
"def order_cluster(cluster_field_name, target_field_name,df,ascending):\n",
" new_cluster_field_name = 'new_' + cluster_field_name\n",
" df_new = df.groupby(cluster_field_name)[target_field_name].mean().reset_index()\n",
" df_new = df_new.sort_values(by=target_field_name,ascending=ascending).reset_index(drop=True)\n",
" df_new['index'] = df_new.index\n",
" df_final = pd.merge(df,df_new[[cluster_field_name,'index']], on=cluster_field_name)\n",
" df_final = df_final.drop([cluster_field_name],axis=1)\n",
" df_final = df_final.rename(columns={\"index\":cluster_field_name})\n",
" return df_final"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {},
"outputs": [],
"source": [
"tx_user = order_cluster('RecencyCluster', 'Recency',tx_user,False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4.2 Frequency"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [],
"source": [
"tx_frequency = tx_uk.groupby('CustomerID').InvoiceDate.nunique().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [],
"source": [
"tx_frequency.columns = ['CustomerID','Frequency']"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Frequency</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>225</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Frequency\n",
"0 12346.0 2\n",
"1 12747.0 11\n",
"2 12748.0 225\n",
"3 12749.0 8\n",
"4 12820.0 4"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_frequency.head()"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [],
"source": [
"tx_user = pd.merge(tx_user, tx_frequency, on='CustomerID')"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Recency</th>\n",
" <th>RecencyCluster</th>\n",
" <th>Frequency</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17850.0</td>\n",
" <td>301</td>\n",
" <td>0</td>\n",
" <td>34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>15100.0</td>\n",
" <td>329</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>18074.0</td>\n",
" <td>373</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16250.0</td>\n",
" <td>260</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>13747.0</td>\n",
" <td>373</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Recency RecencyCluster Frequency\n",
"0 17850.0 301 0 34\n",
"1 15100.0 329 0 6\n",
"2 18074.0 373 0 1\n",
"3 16250.0 260 0 2\n",
"4 13747.0 373 0 1"
]
},
"execution_count": 119,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.head()"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 3950.000000\n",
"mean 4.989367\n",
"std 8.614673\n",
"min 1.000000\n",
"25% 1.000000\n",
"50% 3.000000\n",
"75% 5.000000\n",
"max 225.000000\n",
"Name: Frequency, dtype: float64"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.Frequency.describe()"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Frequency: Number of transactions')"
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
},
{
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#tx_user.plot(y='Frequency', kind='hist', figsize=(16,5), legend=False)\n",
"plt.figure(figsize=(16,5), dpi=300)\n",
"tx_user['Frequency'].plot.hist()\n",
"plt.title('Histogram of the Number of Transactions by Customers')\n",
"plt.xlabel('Frequency: Number of transactions')"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [],
"source": [
"sse={}\n",
"tx_frequency = tx_user[['Frequency']]\n",
"\n",
"for k in range(1, 10):\n",
" kmeans = KMeans(n_clusters=k, max_iter=1000).fit(tx_frequency)\n",
" tx_frequency[\"clusters\"] = kmeans.labels_\n",
" sse[k] = kmeans.inertia_ "
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Number of clusters for Frequency')"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"plt.plot(list(sse.keys()), list(sse.values()))\n",
"plt.xlabel(\"Number of clusters for Frequency\")"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [],
"source": [
"kmeans = KMeans(n_clusters=3)\n",
"kmeans.fit(tx_user[['Frequency']])\n",
"tx_user['FrequencyCluster'] = kmeans.predict(tx_user[['Frequency']])\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>FrequencyCluster</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>340.0</td>\n",
" <td>20.573529</td>\n",
" <td>9.944560</td>\n",
" <td>12.0</td>\n",
" <td>14.0</td>\n",
" <td>17.0</td>\n",
" <td>24.00</td>\n",
" <td>63.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>3600.0</td>\n",
" <td>3.212222</td>\n",
" <td>2.530605</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>2.0</td>\n",
" <td>4.00</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>10.0</td>\n",
" <td>114.900000</td>\n",
" <td>49.153840</td>\n",
" <td>73.0</td>\n",
" <td>79.0</td>\n",
" <td>100.0</td>\n",
" <td>126.25</td>\n",
" <td>225.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count mean std min 25% 50% 75% \\\n",
"FrequencyCluster \n",
"0 340.0 20.573529 9.944560 12.0 14.0 17.0 24.00 \n",
"1 3600.0 3.212222 2.530605 1.0 1.0 2.0 4.00 \n",
"2 10.0 114.900000 49.153840 73.0 79.0 100.0 126.25 \n",
"\n",
" max \n",
"FrequencyCluster \n",
"0 63.0 \n",
"1 11.0 \n",
"2 225.0 "
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.groupby('FrequencyCluster')['Frequency'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [],
"source": [
"tx_user = order_cluster('FrequencyCluster', 'Frequency',tx_user,True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4.3 Monetary Value (Revenue)"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"tx_rev = tx_uk.groupby('CustomerID').Revenue.sum().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12346.0</td>\n",
" <td>0.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12747.0</td>\n",
" <td>4196.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>12748.0</td>\n",
" <td>29072.10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12749.0</td>\n",
" <td>3868.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12820.0</td>\n",
" <td>942.34</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Revenue\n",
"0 12346.0 0.00\n",
"1 12747.0 4196.01\n",
"2 12748.0 29072.10\n",
"3 12749.0 3868.20\n",
"4 12820.0 942.34"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_rev.head()"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [],
"source": [
"tx_user = pd.merge(tx_user, tx_rev, on='CustomerID')"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 3950.000000\n",
"mean 1713.385669\n",
"std 6548.608224\n",
"min -4287.630000\n",
"25% 282.255000\n",
"50% 627.060000\n",
"75% 1521.782500\n",
"max 256438.490000\n",
"Name: Revenue, dtype: float64"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.Revenue.describe()"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Revenue')"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"tx_user['Revenue'].plot.hist()\n",
"plt.title('Histogram of Revenue')\n",
"plt.xlabel('Revenue')"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [],
"source": [
"sse={}\n",
"tx_rev = tx_user[['Revenue']]\n",
"\n",
"for k in range(1, 10):\n",
" kmeans = KMeans(n_clusters=k, max_iter=1000).fit(tx_rev)\n",
" tx_rev[\"clusters\"] = kmeans.labels_\n",
" sse[k] = kmeans.inertia_ "
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Number of clusters for Revenue')"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"plt.plot(list(sse.keys()), list(sse.values()))\n",
"plt.xlabel(\"Number of clusters for Revenue\")"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [],
"source": [
"kmeans = KMeans(n_clusters=3)\n",
"kmeans.fit(tx_user[['Revenue']])\n",
"tx_user['RevenueCluster'] = kmeans.predict(tx_user[['Revenue']]) \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [],
"source": [
"tx_user = order_cluster('RevenueCluster', 'Revenue',tx_user,True)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>RevenueCluster</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3921.0</td>\n",
" <td>1316.258790</td>\n",
" <td>2054.745461</td>\n",
" <td>-4287.63</td>\n",
" <td>280.52</td>\n",
" <td>621.66</td>\n",
" <td>1487.80</td>\n",
" <td>21535.90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>27.0</td>\n",
" <td>43070.445185</td>\n",
" <td>15939.249588</td>\n",
" <td>25748.35</td>\n",
" <td>28865.49</td>\n",
" <td>36351.42</td>\n",
" <td>53489.79</td>\n",
" <td>88125.38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2.0</td>\n",
" <td>221960.330000</td>\n",
" <td>48759.481478</td>\n",
" <td>187482.17</td>\n",
" <td>204721.25</td>\n",
" <td>221960.33</td>\n",
" <td>239199.41</td>\n",
" <td>256438.49</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" count mean std min 25% \\\n",
"RevenueCluster \n",
"0 3921.0 1316.258790 2054.745461 -4287.63 280.52 \n",
"1 27.0 43070.445185 15939.249588 25748.35 28865.49 \n",
"2 2.0 221960.330000 48759.481478 187482.17 204721.25 \n",
"\n",
" 50% 75% max \n",
"RevenueCluster \n",
"0 621.66 1487.80 21535.90 \n",
"1 36351.42 53489.79 88125.38 \n",
"2 221960.33 239199.41 256438.49 "
]
},
"execution_count": 136,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.groupby('RevenueCluster')['Revenue'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Recency</th>\n",
" <th>RecencyCluster</th>\n",
" <th>Frequency</th>\n",
" <th>FrequencyCluster</th>\n",
" <th>Revenue</th>\n",
" <th>RevenueCluster</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17850.0</td>\n",
" <td>301</td>\n",
" <td>0</td>\n",
" <td>34</td>\n",
" <td>1</td>\n",
" <td>5288.63</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>13093.0</td>\n",
" <td>266</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>1</td>\n",
" <td>7741.47</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>13047.0</td>\n",
" <td>31</td>\n",
" <td>2</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>3079.10</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>15291.0</td>\n",
" <td>25</td>\n",
" <td>2</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>4596.51</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>14688.0</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>27</td>\n",
" <td>1</td>\n",
" <td>5107.38</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Recency RecencyCluster Frequency FrequencyCluster Revenue \\\n",
"0 17850.0 301 0 34 1 5288.63 \n",
"1 13093.0 266 0 12 1 7741.47 \n",
"2 13047.0 31 2 17 1 3079.10 \n",
"3 15291.0 25 2 20 1 4596.51 \n",
"4 14688.0 7 2 27 1 5107.38 \n",
"\n",
" RevenueCluster \n",
"0 0 \n",
"1 0 \n",
"2 0 \n",
"3 0 \n",
"4 0 "
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tx_user.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4.4 Overall Segmentation\n"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [],
"source": [
"tx_user['OverallScore'] = (tx_user['RecencyCluster']) + tx_user['FrequencyCluster'] + (tx_user['RevenueCluster'])\n"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Recency</th>\n",
" <th>Frequency</th>\n",
" <th>Revenue</th>\n",
" </tr>\n",
" <tr>\n",
" <th>OverallScore</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>293.7</td>\n",
" <td>1.5</td>\n",
" <td>362.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>153.7</td>\n",
" <td>2.5</td>\n",
" <td>644.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>33.3</td>\n",
" <td>3.9</td>\n",
" <td>1151.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>12.7</td>\n",
" <td>19.5</td>\n",
" <td>5771.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4.5</td>\n",
" <td>44.1</td>\n",
" <td>38902.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>7.2</td>\n",
" <td>106.8</td>\n",
" <td>82491.6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Recency Frequency Revenue\n",
"OverallScore \n",
"0 293.7 1.5 362.7\n",
"1 153.7 2.5 644.7\n",
"2 33.3 3.9 1151.9\n",
"3 12.7 19.5 5771.0\n",
"4 4.5 44.1 38902.3\n",
"5 7.2 106.8 82491.6"
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"round(tx_user.groupby('OverallScore')['Recency','Frequency','Revenue'].mean(),1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The scoring above clearly shows us that customers with **score 5 are our best customers** whereas **0 is the worst**.\n",
"\n",
"To keep things simple, better we name these scores:\n",
"\n",
"**0 to 1:** Low Value\n",
"\n",
"**2 to 3:** Mid Value\n",
"\n",
"**4 to 5:** High Value overall score before segmentation"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [],
"source": [
"tx_user['Segment'] = 'Low-Value'\n",
"tx_user.loc[tx_user['OverallScore']>1,'Segment'] = 'Mid-Value' \n",
"tx_user.loc[tx_user['OverallScore']>3,'Segment'] = 'High-Value'"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>CustomerID</th>\n",
" <th>Recency</th>\n",
" <th>RecencyCluster</th>\n",
" <th>Frequency</th>\n",
" <th>FrequencyCluster</th>\n",
" <th>Revenue</th>\n",
" <th>RevenueCluster</th>\n",
" <th>OverallScore</th>\n",
" <th>Segment</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17850.0</td>\n",
" <td>301</td>\n",
" <td>0</td>\n",
" <td>34</td>\n",
" <td>1</td>\n",
" <td>5288.63</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Low-Value</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>13093.0</td>\n",
" <td>266</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>1</td>\n",
" <td>7741.47</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>Low-Value</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>13047.0</td>\n",
" <td>31</td>\n",
" <td>2</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>3079.10</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Mid-Value</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>15291.0</td>\n",
" <td>25</td>\n",
" <td>2</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>4596.51</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Mid-Value</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>14688.0</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>27</td>\n",
" <td>1</td>\n",
" <td>5107.38</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>Mid-Value</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" CustomerID Recency RecencyCluster Frequency FrequencyCluster Revenue \\\n",
"0 17850.0 301 0 34 1 5288.63 \n",
"1 13093.0 266 0 12 1 7741.47 \n",
"2 13047.0 31 2 17 1 3079.10 \n",
"3 15291.0 25 2 20 1 4596.51 \n",
"4 14688.0 7 2 27 1 5107.38 \n",
"\n",
" RevenueCluster OverallScore Segment \n",
"0 0 1 Low-Value \n",
"1 0 1 Low-Value \n",
"2 0 3 Mid-Value \n",
"3 0 3 Mid-Value \n",
"4 0 3 Mid-Value "
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"tx_user.head()"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Customer Segments: Revenue and Recency')"
]
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"sns.scatterplot(data=tx_user, x=\"Recency\", y=\"Revenue\", hue=\"Segment\")\n",
"plt.title('Customer Segments: Revenue and Recency')"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Customer Segments: Revenue and Frequency')"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"sns.scatterplot(data=tx_user, x=\"Frequency\", y=\"Revenue\", hue=\"Segment\")\n",
"plt.title('Customer Segments: Revenue and Frequency')"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Customer Segments: Recency and Frequency')"
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 4800x1500 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,5), dpi=300)\n",
"sns.scatterplot(data=tx_user, x=\"Recency\", y=\"Frequency\", hue=\"Segment\")\n",
"plt.title('Customer Segments: Recency and Frequency')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4.5 Recommendation\n",
"\n",
"Customer Segment | Task | Action Plan\n",
"------------ | ------------- | -------------\n",
"High-value | Improve retention rate| Advertise new items and reward them, they are the best-customers.\n",
"Mid-value | Improve retention and frequency rate | Introduce discounts, new pricing plans and customer loyalty programs.\n",
"Low-value | Improve frequency| New advertisement strategy + discount plans.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}