📊

248

Total Segments

🟢

186

Published

⏸️

Draft

👥

125K

Avg Audience

⚡

This Week

🎯

Active Now

#	Segment Name	Data Space	Type	Status	Size	Last Modified	Modified By
1	High Value Outdoor Enthusiasts	Default	Standard	Active	45.7K	2 hours ago	sking
2	Churn Risk Segment	Default	Standard	Active	12.3K	1 day ago	mileb
3	Email Engagement Outreach	Default	Standard	Active	89.2K	2 days ago	sking
4	Draft Win-back Segment	Default	Standard	Draft	0	3 days ago	BWrig
5	Top Spenders Q4	Default	Standard	Active	5.4K	5 days ago	mileb
6	Loyalty Tier Gold Members	Default	Standard	Active	28.9K	1 week ago	sking

What's your goal for today?

Select a common goal or describe your own

OR SELECT A COMMON GOAL

Win-back

Win back recently churned customers

Growth & Monetization

Increase share of wallet from existing customers

Acquisition

Find prospects similar to my best customers

Service Led Marketing

Proactively engage customers frustrated with recent cases

Churn Prevention

Target at-risk customers with retention offers

Cross-sell & Upsell

Drive additional revenue with product recommendations

AI-Recommended Segments

Based on your data, insights from past segments, and performance trends

Ready to Use

High Impact

High-Value At-Risk Customers

LTV >$2,500 but declining engagement by 40% in last 30 days

Estimated Size

1,847

Potential Value

$4.6M

Trending

Winter Campaign - Cold Climate

Outdoor enthusiasts in regions with winter sports activity + recent browsing

Estimated Size

12,453

Conv. Rate

18.4%

High ROI

Loyalty Upgrade Opportunity

3+ purchases, $500+ spent, not in loyalty program yet

Estimated Size

5,329

Avg LTV Lift

+45%

Similar +22% open

Email Re-Engagement

Previously engaged, no opens/clicks in 90 days, high past conversion

Estimated Size

8,942

Win-back Rate

12.8%

These segments are generated based on your data patterns, historical segment performance, and current business trends

OR BUILD MANUALLY

Skip AI assistance and build your segment with custom rules and filters

3.2M

Profiles

Sources

847

Segments

400

Activations

High Value Outdoor Enthusiasts

Our most engaged outdoor enthusiasts who have a high history of premium purchases but haven't geared up recently

Validate Your Segment

Quick checks to refine your rules before proceeding

Includes Criteria to match

These are our biggest spenders who've hit the $7k spend milestone

Click for formula

is equal to or greater than USD 7,000

Click to flip back

Group 3 conditions

Outdoor trekking enthusiasts with active interest in adventure gear

Click for formula

Grouped Filter

Match ALL conditions

includes any Camping Gear, Skiing Equipment

AND

is equal to Outdoor Adventure Magazine

AND

viewed categories Outdoor Equipment (last 30 days)

Click to flip back

Customers we haven't seen in over six months

Click for formula

is more than 180 Days ago

Click to flip back

AND

Add Rules & Filters to Build Segment

Quick Attributes

Select data model attributes to create custom filter rules

Quick Filters

Pre-configured filters with attribute values already set

Metrics

Calculated metrics using multiple attributes with formulas

Build Your Custom Metric

Common Marketing Metrics

Describe Your Metric (AI-Powered)

💡 Tip: Press Cmd/Ctrl + Enter to generate

AI Metric Builder

Chat with agent → Formula updates instantly

Conversation with Agent

Chat history will appear here...

Press Enter to send

Formula Preview

Manual Metric Builder

Metric Name

Select Attributes

Formula

Condition

FORMULA PREVIEW

                                    Select attributes and formula to see preview
                                

Other Segments

Include or exclude existing segments as nested conditions

Predictive Scores

AI-powered propensity and affinity scores from Model Builder

Excludes Criteria to filter out

No exclusions added. Click "Add Exclusion" to filter out specific criteria.

Rank and Limit

Transform your broad segment into highly specific, actionable audiences

What is Group, Rank, and Limit (GRL)?

GRL allows you to organize records into meaningful groups, prioritize them based on defined business rules, and control segment sizes. This transforms broad segments into the best-of-the-best audiences for high-value targeting.

🪣

Group (The Bucket)

Gather members into buckets by City (London, Tokyo, etc.)

📊

Rank (The Priority)

Sort members by Lifetime Points within each city

🎯

Limit (The Quantity)

Select only the Top 5 from each city

AI-Recommended Strategy

For your high-value outdoor segment (12,500 customers, 45% high LTV), here's the optimal approach:

🪣

Group

Geographic Region

Your segment spans multiple regions. Grouping ensures you reach customers in all key markets rather than concentrating only where your segment is largest.

📊

Rank

Lifetime Value (Descending)

With 45% high LTV customers in your segment, prioritizing by lifetime value ensures you target your most valuable customers first, maximizing campaign ROI.

🎯

Limit

Top 500 per Region

Based on your segment size (~12,500 customers) and typical outdoor gear campaign budgets, targeting top 500 from each region creates a focused audience.

Expected Result

Refines your 12,500 customers down to ~2,500-3,000 top-tier customers (500 × 5-6 regions) — the best-of-the-best for maximum campaign ROI.

Configure Your GRL Rules

1. Group By

Example: Group by Geographic Region to ensure fair distribution across all areas

2. Rank By

Example: Rank by Lifetime Value in descending order to prioritize highest-value customers

3. Limit To

records per group

Example: Limit to Top 500 customers per region for a focused, high-value activation

Result Preview: Your segment of 12,487 customers will be refined to approximately 2,500-3,000 top customers (500 per region × 5-6 major regions). This ensures you target only the highest-value individuals while maintaining geographic balance.

Why Use Rank and Limit?

✓ Precision Targeting: Focus on best-fit customers instead of everyone who qualifies

✓ Resource Optimization: Control activation costs by limiting audience size

✓ Fair Distribution: Ensure representation across all groups (regions, accounts, etc.)

✓ No SQL Required: Simple point-and-click interface for complex logic

Segment Preview

Explore your segment population with detailed records and key insights

Total Audience

45,700

Avg LTV

$8,450

Top Tier

Gold (47%)

Avg Age

34.2

Gender Split

60% M / 40% F

Top Region

US (53%)

Sample Records

Showing 50 records from your segment

Customer ID	Name	LTV	Age	Loyalty Tier	Region	Active Status	Email	Gender	Annual Income	Last Purchase	Total Orders	Avg Order Value	Churn Risk	Channel Pref
CUST-10281	Sarah Johnson	$8,240	32	Gold	Pacific NW	Active	sarah.j@email.com	F	$95K	245 days ago	18	$458	High	Mobile Push
CUST-10742	Michael Chen	$12,100	28	Platinum	West Coast	Active	m.chen@email.com	M	$115K	198 days ago	24	$504	Med	Email
CUST-11029	Emma Rodriguez	$7,520	41	Gold	Southwest	Active	emma.r@email.com	F	$78K	210 days ago	16	$470	High	SMS
CUST-11384	David Park	$9,890	35	Gold	Pacific NW	Active	d.park@email.com	M	$105K	183 days ago	21	$471	Med	Mobile Push
CUST-11591	Olivia Martinez	$15,420	29	Platinum	Northeast	Active	olivia.m@email.com	F	$135K	225 days ago	32	$482	High	Email
CUST-11847	James Wilson	$6,780	38	Gold	Midwest	Active	j.wilson@email.com	M	$72K	267 days ago	14	$484	High	In-App
CUST-12003	Sophia Lee	$11,200	26	Platinum	Pacific NW	Active	sophia.lee@email.com	F	$122K	192 days ago	26	$431	Med	Mobile Push
CUST-12289	Daniel Kim	$8,650	33	Gold	West Coast	Active	d.kim@email.com	M	$91K	201 days ago	19	$455	Med	Email

Showing 1-50 of 12,487 records

Attribute Distribution

Gender

Male 60%

Female 40%

LTV Distribution

32%

High
$8K+

45%

Mid
$3-8K

23%

Low
<$3K

Loyalty Tier

Gold 47%

Platinum 28%

Silver 25%

Purchase Recency

28%

0-30
days

35%

31-60
days

22%

61-90
days

15%

90+
days

Channel Affinity Analysis

These channels perform best with your target audience

Why Look at Channel Affinity?

🎯

Optimize Engagement

Reach your audience on channels where they're most active

💰

Reduce Waste

Avoid spending on channels with low engagement potential

📈

Data-Driven Strategy

Make informed decisions based on historical performance

⏰

Perfect Timing

Send messages when your audience is most likely to respond

📱

Mobile Push Top Pick

High engagement potential

70%

Engagement Breakdown

Delivered: 94.2% Opened: 68.5% Clicked: 42.3% Converted: 12.8%

Best window: 12:00 PM - 2:00 PM

💬

SMS

Medium engagement potential

55%

Engagement Breakdown

Delivered: 97.8% Viewed: 52.1% Clicked: 31.4% Converted: 9.2%

Best window: 10:00 AM - 12:00 PM

✉️

Lower engagement potential

35%

Engagement Breakdown

Delivered: 89.3% Opened: 28.7% Clicked: 8.4% Converted: 2.1%

Best window: 6:00 PM - 8:00 PM

🔔

In-App

Medium engagement potential

48%

Engagement Breakdown

Displayed: 86.5% Viewed: 45.2% Clicked: 24.7% Dismissed: 20.5%

Best window: 9:00 AM - 11:00 AM

Insight: 70% of this segment responds better to Mobile Push notifications. Consider prioritizing this channel for maximum engagement.

This data is based on performance analysis from 847 previous segment activations targeting similar audience segments.

Smart Splits

Create optimized test variants to maximize segment performance

Why Use Smart Splits?

🧪

A/B Testing

Test different offers and messaging to find what resonates best

🛡️

Risk Mitigation

Reduce activation risk by testing variants before full rollout

📊

Data-Driven Decisions

Make informed choices based on real performance data

💰

Maximize ROI

Identify the highest-performing variant to scale for better returns

Adjust Split Percentages

📱 50%

💬 50%

📱 Push Discount

Split 1 of 2

Split Size

50%

🎁

15% Discount

via Mobile Push

Audience

6,244

💬 SMS Free Ship

Split 2 of 2

Split Size

50%

🚚

Free Shipping

via SMS

Audience

6,243

Add Another Split

Create additional variants for multivariate testing

Segment Insights

Strategic understanding of your audience composition, behavior, and business impact

Audience Composition

LTV Tier Distribution

High 45%

Medium 35%

Low 20%

💡 45% High LTV → Premium positioning recommended

Loyalty Status

Gold 47%

Silver 28%

Bronze 25%

Lifecycle Stages

35%

New

40%

Growing

18%

Mature

Veteran

Engagement Levels

28%

Highly
Engaged

42%

Moderate

22%

At Risk

Dormant

Behavioral Patterns

Purchase Behavior

Order Frequency

3.2x/yr

Favorite Category

Outdoor Gear

Cross-Buy Propensity

68%

Seasonal Pattern

Spring Peak

Engagement Patterns

Email Open Rate 42%

SMS Response Rate 35%

App Engagement 73%

⏰ Best Time: 6:00 PM - 8:00 PM weekdays

Revenue & Value Indicators

Total Addressable Value

$38.6M

Avg LTV per Customer

$8,450

Revenue at Risk

$2.94M

Projected Lifetime Value

$11.2K

Spending Patterns

Average Order Value (AOV) $425

Purchase Frequency 3.2x/year

Basket Composition 2.8 items avg

Risk & Opportunity Scores

Churn Risk Distribution

High Risk 65%

Medium Risk 23%

Low Risk 12%

Opportunity Scores

Upsell Potential

High

78% likely to upgrade

Cross-Sell Readiness

68%

2+ category interest

Win-Back Opportunity

Medium

45% recoverable

Sentiment Indicators

Net Promoter Score (NPS)

Excellent

Satisfaction Trend

+8.5% vs last quarter

Suggested Segment Refinements

Based on your insights, consider these high-impact adjustments to your segment

🏆

High Impact

Focus on Gold Tier Only

47% of your segment is already Gold loyalty members. Refine to create a premium VIP segment for exclusive treatment.

Estimated Impact

Size: -53% Quality: +High

⚡

Recommended

Focus on Highly Engaged Only

28% are highly engaged customers. Targeting this group aligns with your goal for maximum outdoor gear campaign response.

Estimated Impact

Size: -72% Response: +High

📅

Optimize

Add Recency Filter

3.2x/year purchase frequency suggests quarterly buying patterns. Target customers due for next purchase within 90 days.

Estimated Impact

Size: -25% Conversion: +High

Overlap Analysis

Visualize overlap with other active and historical segments

👥

Total Reachable

12,487

+2.3% vs last activation

🎯

Expected Reach

87.2%

Based on channel affinity

⚥

Gender Ratio

60:40

Male : Female

📊

Average Age

34.2

years old

🎯

Top Age Group

25-34

4,620 customers (37%)

💰

Avg Lifetime Value

$3,240

+12% vs avg customer

📍

Top Region

Pacific NW

2,847 customers (23%)

⏰

Avg Days Since Purchase

210

~7 months inactive

🛍️

Past Purchase Rate

3.8x

Above average

⭐

Loyalty Status

Gold+

89% are Gold or Platinum

Segment Overlap Analysis

Visualize overlap with other active and historical segments

Compare with segment:

Outdoor Adventure Enthusiasts

Activation History: Ran last week and last month with strong engagement

Last Week (Winter Sports Promo): 35% responded

Last Month (Holiday Gift Guide): 52% responded

💡 Recommendation: Coordinate messaging timing to avoid message fatigue. Consider suppressing overlapping users for 2-3 weeks.

Quick Select

🏕️

Outdoor Adventures

Last Week + Last Month

42%

5,244 overlap

❄️

Winter Sports Promo

Last Week

35%

4,370 overlap

🎁

Holiday Gift Guide

Last Month

52%

6,493 overlap

⭐

Premium Buyers

Active

28%

3,496 overlap

💎

Gold Tier Loyalty

Active

38%

4,745 overlap

🛍️

Recent Buyers

Active (30 Days)

22%

2,747 overlap

Message Fatigue Indicators

📊 For This Segment Only (12,487 customers)

All metrics below show contact frequency and fatigue scores specifically for customers in this segment population

23%

Contacted in Last 7 Days

2,847 customers from this segment

19%

High Message Frequency

2,362 customers receiving 6+ msgs/month

6.8/10

Fatigue Risk Score

Moderate-High Risk for this segment

📊 Contact Frequency Breakdown

Of the 12,487 customers in this segment:

Last 7 days: 2,847 (23%)

Last 14 days: 4,120 (33%)

Last 30 days: 6,891 (55%)

Last 90 days: 9,234 (74%)

📬 Message Volume Distribution

Messages per month for this segment:

Light (1-2 msgs): 4,234 (34%)

Moderate (3-5 msgs): 5,891 (47%)

⚠️ High (6+ msgs): 2,362 (19%)

890 customers contacted 5+ times in last 30 days

⚡ Fatigue Risk Analysis

6.8

out of 10

Moderate-High Risk

⚠️ Warning: 19% of customers in this segment (2,362 people) have received high message frequency. Consider suppressing or reducing contact frequency to avoid fatigue.

Smart Optimization Suggestions

AI-recommended actions to reduce overlap and optimize activation effectiveness

Exclusion Suggestions

Remove overlapping customers to prevent conflicts and over-messaging

Exclude active VIP segment customers

234 customers overlap with ongoing VIP outreach

Impact: -234 (1.9%)

Exclude high-frequency contacted

890 customers received 5+ messages in last 30 days

Impact: -890 (7.1%)

Exclude recent converters (14 days)

423 customers made recent purchases

Impact: -423 (3.4%)

Filter Addition Suggestions

Add criteria to reduce overlap and create more unique segments

Add Region = "West Coast"

Would reduce overlap with "Outdoor Adventures" by 28%

Impact: -1,470 customers (11.8%)

Add Age Range 35-45

Would reduce overlap with "Holiday Gift Guide" by 22%

Impact: -3,245 customers (26.0%)

Add Product Category = "Trail Running"

Creates more specific segment focused on trail runners

Impact: -4,680 customers (37.5%)

Activate Your Segment

Choose an activation template and launch your segment

Segment Summary

Segment Name

High Value Outdoor Enthusiasts

Audience Size

12,487

Avg. LTV

$3,240

Smart Splits

2 Variants (50/50)

Select Activation Template

Recommended Template: Email Re-Engagement Campaign

Based on your goal to promote new outdoor gear, your segment of high-value customers with 47% Gold tier membership, 73% mobile app engagement, and strong email channel affinity (62% engagement rate), we recommend starting with a multi-touchpoint email campaign for maximum reach and personalization.

Choose from our curated activation templates optimized for specific use cases and platforms

✉️

Email Re-Engagement Campaign

Multi-touchpoint email campaign for consented customers. Activates through email, mobile app, and SMS with personalized offers and messaging.

RECOMMENDED

Platform

☁️ Marketing Cloud

Contact Points

✉️ Email 📱 Mobile App 📲 SMS

Consent & Filters

✅ Consented (Email) ✅ Opted In 📧 Valid Email 🚫 No Contact 7d

Personalization Attributes

First Name Last Purchase LTV Score Fav Category Discount Offer

📘

Meta Ads Campaign

Reach your segment on Facebook, Instagram, and Messenger. Contact points (email, phone, mobile app) power custom audience sync.

Platform

📘 Meta Ads Manager

Communication Channels

📱 Facebook 📸 Instagram 💬 Messenger

Contact Points

✉️ Email 📞 Phone 📱 Mobile App

Consent & Filters

✅ Consented (Marketing) 📧 Valid Email 📱 Valid Phone

Personalization Attributes

Email Phone Mobile App ID Purchase Value Product Interest

🔍

Google Ads - Performance Max

Reach your segment across Search, Display, YouTube, and Discovery. Contact points (email, phone, mobile app) power Customer Match.

Platform

🔍 Google Ads

Communication Channels

🔍 Search 📺 Display 📹 YouTube 📰 Discovery

Contact Points

✉️ Email 📞 Phone 📱 Mobile App

Consent & Filters

✅ Consented (Marketing) 🔐 Customer Match 📧 Valid Email

Personalization Attributes

Email Phone Conversion Value Geography Device ID

📲

SMS Flash Sale Campaign

Time-sensitive SMS for promotions and flash sales via Marketo. For consented SMS customers; personalized promo codes and time-bound offers.

Platform

📧 Marketo

Contact Points

📲 SMS 📱 Mobile App

Consent & Filters

✅ Consented (SMS) 📞 Valid Phone 🚫 No SMS 24h

Personalization Attributes

First Name Promo Code Discount % Expiry Time

💼

LinkedIn Sponsored Content (B2B)

Reach your segment via Sponsored Post, InMail, and Video Ads. Contact points (email, phone, mobile app) power Matched Audiences; company and job title for targeting.

Platform

💼 LinkedIn Campaign Manager

Communication Channels

💼 Sponsored Post 💬 InMail 📺 Video Ads

Contact Points

✉️ Email 📞 Phone 📱 Mobile App

Consent & Filters

✅ Consented (B2B) 💼 Work Email 🏢 Company Match 👔 Senior+ Title

Personalization Attributes

Company Job Title Industry Account Score Lead Score

💬

WhatsApp Business Messaging

Conversational commerce through WhatsApp Business API. Send order updates, appointment reminders, and personalized offers with two-way messaging support.

Platform

💬 WhatsApp Business

Contact Points

💬 WhatsApp 📲 SMS Fallback

Consent & Filters

✅ Consented (WhatsApp) 📞 Valid Phone 🌍 Intl Format

Personalization Attributes

First Name Order ID Tracking Link Support URL

⚙️

or Create Custom Template

Build your own with custom channels & filters

Journey Builder

Configure automated multi-step customer journeys

Recommended Journey: Multi-Channel Re-Engagement

Based on your segment's high mobile app engagement (73%) and strong email performance (62% engagement rate), we recommend a multi-channel approach starting with email, followed by intelligent fallback logic to SMS or paid ads based on customer response. This maximizes touchpoints while respecting engagement patterns.

📧

Multi-Channel Re-Engagement

Reach dormant customers across email, SMS, and paid ads with intelligent fallback logic

RECOMMENDED

Channels

✉️ Email 📱 SMS 📘 Meta Ads

Journey Summary

Initial email with personalized discount
Wait 48 hours for engagement
Engaged → SMS follow-up
Not engaged → Meta Ads retargeting

Send Email

48h

Engaged?

YES

📱 SMS

📘 Ads

👑

VIP Customer Nurture

Personalized journey based on customer tier (Gold/Platinum/Diamond) with exclusive offers

Channels

✉️ Email 📱 SMS 📞 Phone

Journey Summary

Welcome email to all VIP tiers
Wait 24 hours
Gold → 10% email offer
Platinum → 20% SMS + gift
Diamond → Personal rep call

Welcome Email

24h

Tier?

GOLD

✉️

10%

PLAT

📱

20%

DIA

📞

Call

🛒

Cart Abandonment Recovery

Automated sequence with escalating incentives based on cart value and customer purchase history

Channels

✉️ Email 📱 SMS

Journey Summary

Send cart reminder email
Wait 2 hours
High value (>$100) → SMS with 15% off
Low value (<$100) → Email with free shipping

Reminder Email

Cart Value?

>$100

📱 SMS

15% off

<$100

✉️ Email

Free ship

🚀

Product Launch Sequence

Multi-wave launch campaign with early access, waitlist, and general availability phases

Channels

✉️ Email 📱 SMS 📘 Social 📊 Paid Ads

Journey Summary

Day 1: VIP early access (Email+SMS)
Day 2: Waitlist opens (Email)
Day 7: Public launch (All channels)
Phased rollout for exclusivity

VIP Early Access

Day 2

Waitlist Opens

Day 7

Public Launch

Segment Performance

Comprehensive analysis of activation effectiveness and ROI

Activation Summary Dashboard

Total Reached

12,487

↑ 100% of segment

Engagement Rate

42.8%

↑ +8.6% vs avg

Conversion Rate

16.4%

↑ +4.5% vs goal

Revenue Generated

$156K

↑ +$18K vs plan

ROI

4.2x

$37K activation cost

Exceeding Target

Conversion +24% above goal

On Target

Revenue within 5% of plan

Strong Momentum

Engagement trending up +12%

Engagement Analysis

Channel Performance

Open Rate 48.2%

Click Rate 12.4%

CTOR 25.7%

Mobile Push

Delivered 94.8%

Click Rate 18.2%

Conversion 22.1%

SMS

Delivered 98.1%

Click Rate 8.7%

Opt-out 0.8%

Delivered 96.3%

Read Rate 82.4%

Response Rate 14.5%

Performance by LTV Tier

High LTV

68%

Medium LTV

42%

Low LTV

28%

Performance by Region

West Coast

58%

East Coast

45%

Other

32%

Conversion Analytics

Conversion Funnel

Reached 12,487 (100%)

Engaged 5,344 (42.8%)

Visited Site 3,124 (25.0%)

Added to Cart 2,456 (19.7%)

Purchased 2,048 (16.4%)

Revenue Impact

Total Revenue

$156,360

Revenue per Recipient

$12.52

Average Order Value

$76.35

Incremental Revenue

+$24.8K

vs control group

Cost Efficiency

Cost per Acquisition

$18.17

Cost per Conversion

$2.98

Incremental CPA

$14.23

ROI

4.2x

Cohort & Drift Analysis

Composition Drift Over Time

LTV Distribution Shift ↑ +3.2% High LTV

High-value customers increased from 42% to 45% during activation

Engagement Level Change ↓ -5.1% Dormant

Dormant customers decreased, moved to active engagement tiers

Churn Risk Progression ↓ -8.3% High Risk

High churn risk segment reduced from 23% to 15%

Segment Health Score

8.4

Excellent Health

Engagement Vitality 9.2 / 10

Value Stability 8.8 / 10

Growth Potential 7.2 / 10

Comparative Performance

vs. Outdoor Adventure Segment (Last Month)

Similar audience profile • Dec 1-24, 2025

+24%

Better conversion

Your segment achieved 16.4% conversion vs. 13.2% in Outdoor Adventure. Refined targeting and mobile push strategy drove superior results.

vs. 6-Month Activation Average

Baseline across all segment types

+38%

Above average

Significantly outperformed 6-month average (11.9% conversion). GRL refinement, smart splits, and optimal channel timing drove exceptional results.

vs. Control Group (Holdout)

3,000 customers not contacted • Natural behavior

+186%

Incremental lift

Activated segment converted at 16.4% vs. 5.7% natural conversion in control group, demonstrating strong incremental impact.

Optimization Recommendations

Audience Optimization

Include More

West Coast customers show +22% higher conversion

Exclude Next Time

Customers with 5+ messages/month show fatigue

Lookalike Opportunity

Expand by 8-10K similar customers

Tactical Improvements

Best Channel

Mobile Push: 22.1% conversion (highest)

Optimal Timing

6:30-7:00 PM shows +8% lift in open rate

Creative Insight

Discount messaging outperformed by 4.2%

Next Segment Suggestions

Re-engage Non-Responders

Create follow-up for 4,244 customers who didn't engage. Try different messaging or channel.

Win-Back Opportunity

408 customers added to cart but didn't purchase. Target with urgency messaging + 10% discount.

Exclusion for Rest Period

Suppress 2,048 converters for 30 days to allow product experience before next outreach.

Recently Viewed

Create New Segment

What's your goal for today?

AI-Recommended Segments

High-Value At-Risk Customers

Winter Campaign - Cold Climate

Loyalty Upgrade Opportunity

Email Re-Engagement

High Value Outdoor Enthusiasts

Quick Attributes

Quick Filters

Metrics

Build Your Custom Metric

AI Metric Builder

Manual Metric Builder

Other Segments

Predictive Scores

Rank and Limit

What is Group, Rank, and Limit (GRL)?

AI-Recommended Strategy

Configure Your GRL Rules

Why Use Rank and Limit?

Segment Preview

Sample Records

Attribute Distribution

Channel Affinity Analysis

Why Look at Channel Affinity?

Smart Splits

Why Use Smart Splits?

Adjust Split Percentages

Segment Insights

Audience Composition

Behavioral Patterns

Revenue & Value Indicators

Risk & Opportunity Scores

Suggested Segment Refinements

Focus on Gold Tier Only

Focus on Highly Engaged Only

Add Recency Filter

Add App Activity Filter

Add Spring Buyer Filter

Add Cross-Buy Opportunity Filter

Add Upsell Propensity Filter

Overlap Analysis

Segment Overlap Analysis

Quick Select

Message Fatigue Indicators

Smart Optimization Suggestions

Exclusion Suggestions

Filter Addition Suggestions

Activate Your Segment

Segment Summary

Select Activation Template

Configure Custom Template

Journey Builder

Segment Performance

Activation Summary Dashboard

Engagement Analysis

Conversion Analytics

Cohort & Drift Analysis

Comparative Performance

Optimization Recommendations

Segment Activated!