Repeat Purchase Rate Benchmarks

Metricuno
May 24, 2026
5 min read
Repeat Purchase Rate Benchmarks — Repeat purchase rate benchmarks for apparel, beauty, F&B, supplements and home goods — plus the 20/30/40% thresholds that signal PMF.
Quick answer

Repeat purchase rate benchmarks by DTC vertical, with the 20% / 30% / 40% thresholds that separate weak, healthy and best-in-class retention.

Definition
Retention metrics

Repeat Purchase Rate Benchmarks

Reference ranges for the share of customers who place a second order, cut by DTC vertical and store maturity.

Repeat purchase rate (RPR) is the percentage of customers who place at least one additional order after their first. Benchmarks vary widely by category — a beauty brand with 45% RPR and an outdoor furniture store with 12% can both be healthy, because replenishment cycles and category economics are completely different.

As a rough cross-category rule, anything under 20% signals weak product-market fit or a leaky post-purchase experience, 20-30% is typical for an established store, and 30-40%+ is where consumable and subscription-friendly categories live. Use the vertical cuts below before judging your own number.

Also known as
RPR benchmarks
repeat customer rate benchmarks
second-order rate benchmarks

The single biggest mistake we see: comparing your repeat rate against a generic "good ecommerce" number from a blog. A 27% repeat rate is excellent for a mattress brand and mediocre for a coffee subscription. The vertical matters more than the headline figure.

The second mistake is measurement window. A 12-month repeat rate and a 90-day repeat rate are different metrics. Most public benchmarks use a rolling 12-month window on customers acquired in that window — that's the convention we use throughout this page.

Benchmark

12-month repeat purchase rate by DTC category and store maturity

CategoryWeak (<P25)Typical (P50)Strong (P75)Best-in-class (P90)
Beauty & skincare22%34%45%58%
Supplements & wellness28%42%55%68%
Food & beverage (consumable)25%38%50%63%
Apparel & accessories15%25%35%47%
Home goods & decor8%16%25%35%
Pet (food & supplies)30%45%58%70%
Electronics & accessories10%18%28%40%

Read the table by column, not by row. Your goal isn't to match beauty if you sell sofas — it's to know where you sit within your own category's distribution. A home goods brand at 25% is in the top quartile; a supplement brand at 25% is in the bottom quartile and likely has a churn problem worth diagnosing.

Chart

Median 12-month repeat purchase rate by DTC category

0%10%20%30%40%50%PetSupplementsFood & bevBeautyApparelElectronicsHome goodsRepeat purchase rateCategory

How to interpret your own number

Start with the right denominator. Pull customers who made their first order between 12 and 24 months ago, then check the share who placed any later order. This gives every customer a full year to come back — shorter windows systematically undercount slow-cycle categories.

Then place yourself on the column. Below P25 means your retention is structurally weak and the fix is usually product or onboarding, not email. P25-P75 means optimisation territory — flows, replenishment reminders, post-purchase UX. Above P75 means your unit economics already work; the lever is acquisition volume, not retention.

Watch the measurement window

A 90-day repeat rate of 18% and a 12-month repeat rate of 35% can describe the same store. When you compare against benchmarks, make sure both numbers use the same window — otherwise you'll either panic over a healthy business or congratulate yourself on a leaky one. See repeat purchase diagnostics for the full audit checklist.

What moves the number

Three levers explain most of the variance between brands in the same category. First, replenishment fit — does the product naturally run out on a predictable cycle? A 30ml serum at 2 drops a day runs out around day 45, which is why beauty benchmarks cluster where they do.

Second, the second-order flow. The window between order one and order two is where most repeat revenue is won or lost — a well-timed reminder at 80% of the typical depletion cycle, with a relevant cross-sell, routinely lifts repeat rate by 3-6 percentage points. Third, catalogue depth: brands with 2 SKUs cap out fast, brands with 20+ SKUs keep finding reasons to come back.

Frequently asked

Repeat purchase rate benchmark FAQ

Across DTC, a 12-month repeat rate of 25-30% is the typical median. Anything above 40% is strong, anything below 20% suggests weak product-market fit. The right answer depends on your category — consumables run much higher than considered-purchase categories like furniture.

It depends on your vertical. 27% is excellent for home goods or electronics, around the median for apparel, and below median for beauty, supplements, food & beverage and pet. Check your category column in the table above before judging.

They're usually used interchangeably, but strictly: repeat purchase rate is share of orders from returning customers, while repeat customer rate is share of customers who returned. The second is more useful for cohort analysis; the first is more useful for revenue mix reporting.

Retention rate is typically calculated for subscription or contract businesses on a fixed cadence (monthly, annually). Repeat purchase rate works for transactional ecommerce where there's no formal renewal — it just asks whether a customer came back within a window.

Default to 12 months for benchmark comparisons — it accommodates slow-cycle categories. For internal operational dashboards, also track 30, 60, and 90-day repeat rates to spot the second-order flow problem early before the 12-month number bakes in.

Yes, but flag it separately. A 60% repeat rate that's really 55% subscription auto-ship and 5% genuine repeat ordering tells a very different story about the underlying brand pull. Report subscription-adjusted RPR alongside the headline number.

Under 12 months of history, you can't measure 12-month RPR yet. Use the 90-day repeat rate and compare against the same-window cohort benchmark — typically 40-50% of the eventual 12-month figure. Most categories settle into their long-run RPR by month 18.

Three places to look first: product satisfaction (post-purchase survey + return rate), the second-order email flow timing relative to typical depletion cycle, and catalogue depth. If only one SKU is doing 80% of revenue, you have a catalogue problem, not a retention problem.

5-8 percentage points is a realistic ceiling for a focused 12-month effort on flows, replenishment reminders and post-purchase UX. Larger jumps usually come from product launches that broaden the catalogue, not from optimising the existing funnel.

Yes — heavy reliance on discount-led paid social tends to acquire one-time buyers and depresses repeat rate by 5-10 percentage points versus organic and email-acquired customers. Segment your RPR by acquisition channel before comparing your aggregate against benchmarks.

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