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Conversion Optimization
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Checkout Abandonment Report

Analyze where shoppers drop off in checkout and the value of lost orders.

BeginnerAPI 2025-01

Command

bash
shopify-admin-skills:checkout-abandonment-report store=your-store.myshopify.com
### name Checkout Abandonment Report — By Cart Value and Hour of Day ### oneLiner Aggregates abandoned checkouts for a date range and shows which cart value bands and hours of day produce the most drop-off. ### whenToUse - When you want to know whether customers abandon on high-value or low-value orders. - Before setting up email recovery timing rules, to target the highest-abandonment hours. - After a checkout flow change, to measure whether abandonment volume dropped. ### howToRun ``` Run skill: shopify-admin-checkout-abandonment-report Store: yourstore.myshopify.com date_range_start: 2026-04-01 date_range_end: 2026-04-30 cart_value_buckets: [0, 25, 50, 100, 250] ``` ### whatYouGet Two tables displayed inline — no CSV file. Table one: abandonment count per cart value bucket (e.g., $0–$25, $25–$50). Table two: abandonment count per hour of day (UTC 0–23). Device type and geographic location are not available in the Shopify abandonedCheckouts API and are not reported. ### polishContext Hours are reported in UTC. For stores selling primarily to Polish customers, subtract 1 hour (winter) or 2 hours (summer) from the UTC column to get local time. ### safetyNote

Bazuje na open-source 40RTY-ai/shopify-admin-skills (MIT), rozszerzone o kontekst polskiego rynku przez Dawida Gaca.

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