Checkout Abandonment Report
Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).
shopify-admin-checkout-abandonment-report
Purpose
Aggregates abandoned checkout data broken down by cart value bucket and hour of day (UTC). Helps identify when and at what price point customers are most likely to abandon checkout. Scoped to what the abandonedCheckouts API provides — device type and geographic location are not available in this API and are not reported.
Prerequisites
shopify auth login --store read_checkoutsParameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| format | string | no | human | Output format: human or json |
| dry_run | bool | no | false | Preview operations without executing mutations |
| date_range_start | string | yes | — | Start date in ISO 8601 (e.g., 2025-01-01) |
| date_range_end | string | yes | — | End date in ISO 8601 (e.g., 2025-01-31) |
| cart_value_buckets | array | no | [0, 25, 50, 100, 250] | Array of thresholds defining cart value bands (e.g., [0,25,50,100,250] creates bands: $0–25, $25–50, $50–100, $100–250, $250+) |
Workflow Steps
abandonedCheckouts — query Inputs: first: 250, query: "created_at:>=', pagination cursor
Expected output: All abandoned checkouts in range with totalPrice and createdAt; paginate until hasNextPage: false; then aggregate in-memory: (1) count by cart value bucket, (2) count by hour of day (UTC, 0–23)
GraphQL Operations
# abandonedCheckouts:query — validated against api_version 2025-04
query AbandonedCheckoutsReport($first: Int!, $after: String, $query: String) {
abandonedCheckouts(first: $first, after: $after, query: $query) {
edges {
node {
id
createdAt
totalPriceSet {
shopMoney {
amount
currencyCode
}
}
customer {
defaultEmailAddress {
emailAddress
}
}
lineItems {
edges {
node {
title
quantity
variant {
price
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: checkout-abandonment-report ║
║ 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):
══════════════════════════════════════════════
OUTCOME SUMMARY
Total abandoned: <n>
Date range: <start> to <end>
Errors: 0
Output: none
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "checkout-abandonment-report",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "AbandonedCheckoutsReport", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> checkouts", "skipped": false }
],
"outcome": {
"total_abandoned": 0,
"date_range_start": "<date_range_start>",
"date_range_end": "<date_range_end>",
"by_cart_value": [
{ "range": "$0 – $25", "count": 0, "pct": 0.0 }
],
"by_hour_utc": [
{ "hour": "00:00", "count": 0, "pct": 0.0 }
],
"errors": 0,
"output_file": null
}
}
Output Format
Two tables displayed inline (no CSV):
Table 1: Abandonment by Cart Value Bucket
| Cart Value Range | Abandoned Checkouts | % of Total |
|---|---|---|
| $0 – $25 | ... | ... |
| $25 – $50 | ... | ... |
| $50 – $100 | ... | ... |
| $100 – $250 | ... | ... |
| $250+ | ... | ... |
Table 2: Abandonment by Hour of Day (UTC)
| Hour (UTC) | Abandoned Checkouts | % of Total |
|---|---|---|
| 00:00 | ... | ... |
| 01:00 | ... | ... |
| 02:00 | ... | ... |
| ... |
For format: json, by_cart_value is an array of {range, count, pct} objects; by_hour_utc is an array of {hour, count, pct} objects.
Note: Device type and geographic location are not available in the abandonedCheckouts API and are not reported by this skill.
Error Handling
| Error | Cause | Recovery |
|---|---|---|
| No checkouts returned | No abandoned checkouts in date range | Widen date range or verify read_checkouts scope |
| Invalid date format | Date not in ISO 8601 | Use format YYYY-MM-DD |
| Rate limit (429) | Too many paginated requests | Narrow date range or reduce first to 100 |
Best Practices
cart_value_buckets of [0,25,50,100,250] works for most stores — adjust thresholds to match your AOV distribution.email is included in the query result — combine with the abandoned-cart-recovery skill to act on the customers most likely to convert based on their cart value tier.