Marketing
Zmienia dane w sklepie — wymagany dry_run
Customer Win-Back
Identify customers with no purchase in 90+ days and prepare a campaign.
IntermediateAPI 2025-01
Command
bash
shopify-admin-skills:customer-win-back store=your-store.myshopify.com### name
Customer Win-Back — Lapsed Customer Export and Tagging
### oneLiner
Identifies customers who have not ordered in N days, exports them as a CSV, and tags them in Shopify for re-engagement.
### whenToUse
- Monthly, to refresh your lapsed customer segment before a re-engagement email send.
- Before a seasonal sale, to recover existing buyers instead of spending ad budget acquiring new ones.
- When you want to measure the size of your cold customer base without manual Shopify admin filtering.
### howToRun
```
Run skill: shopify-admin-customer-win-back
Store: yourstore.myshopify.com
inactive_days: 90
min_orders: 1
tag: win-back-2026-04
max_customers: 500
dry_run: true
```
### whatYouGet
A CSV file `winback_YYYY-MM-DD.csv` with columns: `customer_id`, `email`, `first_name`, `last_name`, `orders_count`, `last_order_date`, `tag_applied`. The skill does not send emails — the list is ready to import into Klaviyo, Mailchimp, or Shopify Email.
### polishContext
### safetyNote
Run with `dry_run: true` first to see what will change. Then run without the flag. Use a dated tag per run (e.g., `win-back-2026-04`) so you don't re-target the same customers in subsequent campaigns.
Bazuje na open-source 40RTY-ai/shopify-admin-skills (MIT), rozszerzone o kontekst polskiego rynku przez Dawida Gaca.