Repeat Purchase Rate
Repeat Purchase Rate measures the percentage of customers who make more than one purchase within a defined time period, indicating brand loyalty and product satisfaction in transactional or e-commerce businesses. A high repeat purchase rate reduces CAC per order over time (acquisition cost is amortized across multiple purchases) and is the primary driver of LTV in non-subscription models.
Increasing repeat purchase rate through loyalty programs, personalized re-engagement, and product quality improvements is typically more cost-efficient than acquiring new customers.
- ShopifyRepeat purchase rate and returning customer reporting
- KlaviyoWinback and repeat purchase email campaign performance
- Google Analytics 4New vs. returning user analysis
- YotpoLoyalty program and repeat purchase analytics
- Product quality and customer satisfaction post-purchase
- Email and SMS re-engagement cadence and relevance
- Loyalty and rewards program design
- Natural product replenishment cycles
- Personalization and product recommendation quality
E-commerce repeat purchase rates above 25%–30% are considered strong; subscription-adjacent categories (consumables, supplements) typically achieve 40%–60%.
How different roles think about this metric
Each function reads Repeat Purchase Rate through a different lens and takes different actions when it changes.
Common Questions About Repeat Purchase Rate
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What is the relationship between repeat purchase rate and LTV?
How do I increase repeat purchase rate?
What is the second purchase window and why does it matter?
How does repeat purchase rate differ by acquisition channel?
Related Metrics
Metrics that are commonly analyzed alongside Repeat Purchase Rate.
Role guides that include this metric
See how each role uses Repeat Purchase Rate in context with the full set of metrics they own.
See What’s Actually Moving Your Repeat Purchase Rate
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