--- name: shopify-admin-post-purchase-survey-trigger role: conversion-optimization description: "Read-only: identifies orders 7–14 days post-fulfillment that are eligible for a post-purchase survey campaign, excluding refunded or cancelled orders." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - orders:query status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI --- ## Purpose Builds the recipient list for a post-purchase survey campaign by selecting orders that were fulfilled between `survey_min_days` and `survey_max_days` ago, are not refunded, not cancelled, and (optionally) belong to customers who consented to marketing. Output is a clean recipient list ready to load into your email or SMS automation. Read-only — no mutations. ## Prerequisites - Authenticated Shopify CLI session: `shopify store auth --store --scopes read_orders,read_customers,read_fulfillments` - API scopes: `read_orders`, `read_customers`, `read_fulfillments` ## Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | survey_min_days | integer | no | 7 | Earliest days after fulfillment to survey (give time for delivery + initial use) | | survey_max_days | integer | no | 14 | Latest days after fulfillment to survey (recall fades after ~2 weeks) | | marketing_consent_only | bool | no | true | Restrict to customers with `marketingState: SUBSCRIBED` | | exclude_repeat_recipients_days | integer | no | 90 | Skip customers who were already on a survey list within this window (caller-tracked) | | format | string | no | human | Output format: `human` or `json` | ## Safety > ℹ️ Read-only skill — no mutations are executed. The skill produces a recipient list; the caller is responsible for actually sending the survey via their own email / SMS platform. Honor `marketing_consent_only: true` for promotional surveys to stay compliant with consent rules. ## Workflow Steps 1. Compute window: `latest_fulfilled_at = NOW - survey_min_days`, `earliest_fulfilled_at = NOW - survey_max_days` 2. **OPERATION:** `orders` — query **Inputs:** `query: "fulfillment_status:fulfilled financial_status:paid -status:cancelled updated_at:>="`, `first: 250`, select `displayFulfillmentStatus`, `displayFinancialStatus`, `cancelledAt`, `fulfillments { createdAt, displayStatus, deliveredAt }`, `refunds { id, createdAt }`, `customer { id, defaultEmailAddress { emailAddress, marketingState }, displayName, locale }`, pagination cursor **Expected output:** All candidate orders; paginate until `hasNextPage: false` 3. Filter orders to the survey window using the **earliest fulfillment** `createdAt`: - Skip if `fulfilled_at` is outside `[earliest_fulfilled_at, latest_fulfilled_at]` - Skip if `cancelledAt != null` - Skip if any refund was issued (full or partial) - Skip if customer is null (guest order without email) - If `marketing_consent_only: true`, skip if `marketingState != SUBSCRIBED` 4. De-duplicate on customer email — multiple orders from the same customer collapse to a single survey invite 5. Output recipient list ## GraphQL Operations ```graphql # orders:query — validated against api_version 2025-01 query SurveyEligibleOrders($query: String!, $after: String) { orders(first: 250, after: $after, query: $query) { edges { node { id name createdAt cancelledAt displayFinancialStatus displayFulfillmentStatus totalPriceSet { shopMoney { amount currencyCode } } fulfillments(first: 5) { id createdAt displayStatus deliveredAt } refunds { id createdAt } customer { id displayName locale defaultEmailAddress { emailAddress marketingState } } } } pageInfo { hasNextPage endCursor } } } ``` ## Session Tracking **Claude MUST emit the following output at each stage. This is mandatory.** **On start**, emit: ``` ╔══════════════════════════════════════════════╗ ║ SKILL: Post-Purchase Survey Trigger ║ ║ Store: ║ ║ Started: ║ ╚══════════════════════════════════════════════╝ ``` **After each step**, emit: ``` [N/TOTAL] → Params: → Result: ``` **On completion**, emit: For `format: human` (default): ``` ══════════════════════════════════════════════ POST-PURCHASE SURVEY LIST Window: – days post-fulfillment Orders considered: Refunded (excluded): Cancelled (excluded): No consent (excluded): Guest orders (excluded): ───────────────────────────── Eligible recipients: Output: post_purchase_survey_.csv ══════════════════════════════════════════════ ``` For `format: json`, emit: ```json { "skill": "post-purchase-survey-trigger", "store": "", "window_min_days": 7, "window_max_days": 14, "orders_considered": 0, "excluded": { "refunded": 0, "cancelled": 0, "no_consent": 0, "guest": 0 }, "eligible_recipients": 0, "output_file": "post_purchase_survey_.csv" } ``` ## Output Format CSV file `post_purchase_survey_.csv` with columns: `customer_id`, `email`, `name`, `locale`, `order_name`, `order_total`, `currency`, `fulfilled_at`, `delivered_at`, `days_since_fulfilled` ## Error Handling | Error | Cause | Recovery | |-------|-------|----------| | `THROTTLED` | API rate limit exceeded | Wait 2 seconds, retry up to 3 times | | Order with multiple fulfillments | Split shipment | Use earliest `createdAt` for window calc; surface in CSV as `multi_fulfillment: true` | | `deliveredAt` null | Carrier didn't report delivery | Use `fulfillments.createdAt` as proxy (may slightly under- or over-shoot) | | Customer with no email | Phone-only profile | Skip — survey campaigns assume email channel | ## Best Practices - Send the survey 7–14 days after fulfillment: 7 days is enough for delivery + first use, 14 days is the sweet spot before recall decays. - For high-cost or considered-purchase categories (furniture, electronics), extend `survey_max_days` to 30 — customers form opinions later. - Pair with `customer-cohort-analysis` to compare survey-respondent retention vs. non-respondents — engaged respondents are typically your stickiest cohort. - Never include customers with refunded or cancelled orders — surveying them invites complaints, not feedback you can act on. - Run this skill on a daily schedule and feed the CSV directly into your email automation; manual cadence ruins the time-window targeting.