What is Product Repurchase Rate Analysis?

The Product Repurchase Rate dashboard shows how likely customers are to buy again after purchasing a specific product, and how much long-term value each product generates. It combines repurchase behavior with product-level LTV metrics to help you understand which products build lasting customer relationships.

This dashboard is available under Product > Repurchase Rate in the sidebar. Product Repurchase Rate is a Pro plan feature.

How It Works

For each product (or product type), Datadrew calculates:

How many customers purchased that product
How many of those customers came back for another order (of any product, within the repurchase window)
The LTV of customers who first bought that product — at 90-day and 180-day windows

This gives you a clear picture of which products are best at driving repeat business.

Dashboard Components

Scatter Plot

A visual chart showing each product plotted by repurchase rate and LTV. Products in the top-right quadrant (high repurchase + high LTV) are your best gateway products.

Product Table

A detailed table showing each product with the following metrics:

Metric	Description
Product Name	Product title (with image when available)
Customer Count	Total customers who purchased this product
Repurchase Rate	Percentage of customers who made at least one additional purchase after buying this product
AOV	Average order value for orders containing this product
LTV (90 day)	Average lifetime value of customers within 90 days of first purchasing this product
LTV (180 day)	Average lifetime value of customers within 180 days of first purchasing this product
Total LTV	Overall lifetime value across all time

Dashboard Controls

Time Period — Set the date range for analysis. This determines which first purchases are included.
Group By — Switch between grouping by individual Product or by Product Type to see category-level patterns.
Repurchase Window — Adjust the maximum number of days to look for a repeat purchase.

Key Insights to Look For

High repurchase rate products — Products with repurchase rates above your store average are your best "gateway" products. Customers who buy these first are most likely to return.
High LTV products — Even if the repurchase rate is average, some products attract customers who spend more over time. These are worth promoting.
Low repurchase + High volume — Products that attract many customers but have low repurchase rates may be one-and-done products. Consider creating post-purchase follow-up sequences for these buyers.
Product Type trends — Switch to the Product Type view to see if certain categories naturally drive more repeat business than others.

Actions to Take

Feature high-repurchase-rate products in your acquisition campaigns to attract customers who are likely to come back.
Create tailored post-purchase email sequences for buyers of low-repurchase products, recommending complementary items.
Use the 90-day vs. 180-day LTV comparison to understand how quickly value builds for each product.
Combine repurchase data with the Basket Analysis dashboard to find natural cross-sell paths from low-repurchase products to high-repurchase products.

Need help? Contact us at support@datadrew.io or use the in-app chat.