Repeat Purchase Rate

### name Repeat Purchase Rate — Which Products Create Loyal Customers ### oneLiner Calculates what percentage of customers return with a second order within N days of their first purchase — segmented by entry product. ### whenToUse - Quarterly before planning win-back campaigns, to know which customer segment is the highest churn risk. - When testing a new entry product and want to know whether it creates loyal buyers. - Before scaling ad spend on a specific product — customer LTV depends on repeat purchase behavior. ### howToRun ``` Run skill: shopify-admin-repeat-purchase-rate Store: yourstore.myshopify.com days_back: 90 repeat_window: 90 segment_by: product ``` ### whatYouGet CSV file `repeat_purchase_YYYY-MM-DD.csv` with columns: `customer_id`, `first_order_date`, `first_product`, `total_orders`, `is_repeat`, `days_to_repeat`, `total_spent`. Summary includes total customers acquired, repeat purchasers, and overall repeat rate percentage. With `segment_by: product`, each product shows its own rate — you can see which products build loyal buyers and which end in a single transaction. A 25–35% repeat rate within 90 days is a healthy baseline for most non-subscription stores. ### polishContext ### safetyNote