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 <domain> --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: truefor promotional surveys to stay compliant with consent rules.
Workflow Steps
-
Compute window:
latest_fulfilled_at = NOW - survey_min_days,earliest_fulfilled_at = NOW - survey_max_days -
OPERATION:
orders— query Inputs:query: "fulfillment_status:fulfilled financial_status:paid -status:cancelled updated_at:>=<earliest_fulfilled_at>",first: 250, selectdisplayFulfillmentStatus,displayFinancialStatus,cancelledAt,fulfillments { createdAt, displayStatus, deliveredAt },refunds { id, createdAt },customer { id, defaultEmailAddress { emailAddress, marketingState }, displayName, locale }, pagination cursor Expected output: All candidate orders; paginate untilhasNextPage: false -
Filter orders to the survey window using the earliest fulfillment
createdAt:- Skip if
fulfilled_atis 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 ifmarketingState != SUBSCRIBED
- Skip if
-
De-duplicate on customer email — multiple orders from the same customer collapse to a single survey invite
-
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: <store domain> ║ ║ Started: <YYYY-MM-DD HH:MM UTC> ║ ╚══════════════════════════════════════════════╝
After each step, emit:
[N/TOTAL] <QUERY|MUTATION> <OperationName> → Params: <brief summary of key inputs> → Result: <count or outcome>
On completion, emit:
For format: human (default):
══════════════════════════════════════════════ POST-PURCHASE SURVEY LIST Window: <survey_min_days>–<survey_max_days> days post-fulfillment Orders considered: <n> Refunded (excluded): <n> Cancelled (excluded): <n> No consent (excluded): <n> Guest orders (excluded):<n> ───────────────────────────── Eligible recipients: <n> Output: post_purchase_survey_<date>.csv ══════════════════════════════════════════════
For format: json, emit:
json{ "skill": "post-purchase-survey-trigger", "store": "<domain>", "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_<date>.csv" }
Output Format
CSV file post_purchase_survey_<YYYY-MM-DD>.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_daysto 30 — customers form opinions later. - Pair with
customer-cohort-analysisto 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.


