shopify-admin-checkout-abandonment-report

To analyze Shopify abandoned checkouts, you can aggregate raw event data into cart value buckets and hour-of-day (UTC) distributions to reveal which price tiers and specific hours drive the most shopper drop-offs.

The best way to identify peak abandonment windows is to group Shopify abandoned checkout events by hour of day in UTC, which highlights the exact timing needed to schedule targeted recovery campaigns.

You can aggregate abandoned checkout data for a specific date range by querying the Shopify Admin GraphQL API, specifying your start and end dates, and applying customizable cart value bucketing to segment the results.

Yes, generating this abandoned checkout report requires the `read_checkouts` scope to access the Shopify Admin GraphQL `abandonedCheckouts` query and paginate through the raw event data for aggregation.

Yes, you can export Shopify abandoned checkout aggregations as a structured JSON report, allowing seamless integration into downstream automation pipelines instead of just outputting human-readable tables.

A limitation of analyzing Shopify abandoned checkouts using UTC hour distributions is that you must manually convert UTC hours to your local timezone to accurately align recovery campaign timing with regional shopper behavior.