Conversion Optimization
Tylko odczyt — bezpieczne
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.