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.
Related articles
- Product Performance dashboard
- Purchase Frequency dashboard
- Basket Analysis — product bundles
- Product performance and basket analysis
Need help?
If you have questions or run into issues, reach out to us at support@datadrew.io or use the in-app chat. We're happy to help.