Repeat Purchase Rate Calculator
Calculate the percentage of your customers who come back — and benchmark against DTC and ecommerce standards.
Quick Answer
RPR = Returning Customers ÷ Total Customers × 100. DTC benchmarks: 20-30% healthy, 30%+ great, 40%+ exceptional.
Inputs
Benchmarks: <15% below avg | 15-25% avg | 25-35% healthy | 35%+ excellent
One-time customers: 1,680
About This Tool
The Repeat Purchase Rate Calculator measures one of the most important signals of brand health: how often customers come back. RPR cuts through vanity metrics like total revenue and order count to expose the underlying quality of the business. A store growing revenue 30% YoY but with declining RPR is buying growth with paid ads — a fragile model. A store growing 30% with rising RPR is building a brand.
Why RPR Beats LTV for Most Operators
Lifetime value is the right number to measure but is hard to calculate cleanly without a customer data platform. RPR is a clean proxy that anyone with order export can compute in five minutes. A 30% RPR roughly translates to 1.4-1.6x average order frequency over 12 months, which compounds CAC payback meaningfully. RPR trends matter more than the absolute number — flat or rising RPR over quarters indicates retention infrastructure is working. Falling RPR is an early warning sign.
Industry Benchmarks
Subscription consumables (coffee, supplements, skincare): 50-70% RPR. DTC fashion and beauty: 20-35%. Home goods and accessories: 15-25%. Furniture, mattresses, electronics: 5-15% due to long replacement cycles. Marketplace and resale: 25-40%. Compare your RPR to direct competitors in your category and to your own historical trend, not to absolute benchmarks across categories.
Levers to Improve RPR
Post-purchase email flows are the highest-leverage move. A 4-email sequence (delivery confirmation, product education, cross-sell, review request) commonly lifts RPR by 5-10 percentage points. Subscribe-and-save with a 10-15% discount converts one-time buyers into recurring customers, with subscription RPR routinely hitting 70%+. Adjacent product launches (a face moisturizer brand launching serum) bring back existing customers because they trust the brand and are already on the email list.
Why the Second Purchase Matters Most
The single largest gap in most DTC funnels is between purchase 1 and purchase 2. Customers who make a second purchase are 2-3x more likely to make a third. Optimizing the day-1-to-day-90 window after first purchase pays back the most. SMS opt-in at checkout, post-purchase content, and a well-timed second-order discount all compound. Top brands obsess over the day 30-60 window because that is where the long-term LTV gets locked in.
Related Tools
See also our AOV calculator, CAC calculator, email marketing ROI calculator, cart abandonment calculator, and subscription box pricing calculator.