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

  • Authenticated Shopify CLI session: shopify auth login --store
  • API scopes: read_checkouts

  • Parameters


    ParameterTypeRequiredDefaultDescription
    storestringyesStore domain (e.g., mystore.myshopify.com)
    formatstringnohumanOutput format: human or json
    dry_runboolnofalsePreview operations without executing mutations
    date_range_startstringyesStart date in ISO 8601 (e.g., 2025-01-01)
    date_range_endstringyesEnd date in ISO 8601 (e.g., 2025-01-31)
    cart_value_bucketsarrayno[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


  • OPERATION: abandonedCheckouts — query
  • Inputs: first: 250, query: "created_at:>='' 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 RangeAbandoned 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

    ErrorCauseRecovery
    No checkouts returnedNo abandoned checkouts in date rangeWiden date range or verify read_checkouts scope
    Invalid date formatDate not in ISO 8601Use format YYYY-MM-DD
    Rate limit (429)Too many paginated requestsNarrow date range or reduce first to 100

    Best Practices

  • For high-traffic stores, narrow the date range to 7–14 days for faster results; paginating 90 days of data can produce many API calls.
  • The default cart_value_buckets of [0,25,50,100,250] works for most stores — adjust thresholds to match your AOV distribution.
  • Hours are reported in UTC — convert to your store's local timezone before drawing conclusions about peak abandonment times.
  • Run this report weekly and compare the by-hour pattern to your promotional send times to find timing opportunities.
  • 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.