90-Day RPR Benchmarks By Consumable Sub-Category Benchmarks
Reference ranges for 90-day repeat purchase rate across skincare, supplements, and coffee — with subscription-heavy and one-time-heavy models scored separately so you can tell whether 22% is actually good for your category.
90-Day RPR Benchmarks By Consumable Sub-Category
Typical 90-day repeat purchase rate ranges for DTC skincare, supplements, and coffee — split by subscription-heavy vs one-time-heavy models.
The 90-day repeat purchase rate (RPR) is the share of new customers who place a second order within 90 days of their first. For fast-consumable categories, it is the earliest reliable signal that acquisition is landing on retainable buyers rather than one-and-done bargain hunters.
The benchmarks below are segmented two ways that matter more than headline averages: by sub-category (skincare, supplements, coffee) and by business model (subscription-heavy stores where >40% of new orders opt into a subscription, versus one-time-heavy stores where subscription attach is under 15%). Read your number against the row that matches both — not the blended DTC average.
A single 90-day RPR number tells you almost nothing until you know the category and the subscription mix behind it. A skincare brand at 34% with 60% of new orders on subscribe-and-save is roughly average. A supplement brand at 34% with 5% subscription attach is a top-decile outlier.
That is why the table below has two model columns per sub-category. The subscription-heavy column includes any recurring order that fires inside the 90-day window, which is why those numbers look inflated versus one-time-heavy peers. Both are legitimate — they just describe different retention machines.
90-Day repeat purchase rate ranges for DTC consumables (new-customer cohort, first order = day 0)
| Sub-category | One-time-heavy: bottom quartile | One-time-heavy: median | One-time-heavy: top quartile | Subscription-heavy: median | Subscription-heavy: top quartile |
|---|---|---|---|---|---|
| Skincare (serums, cleansers, moisturisers) | 12% | 19% | 26% | 38% | 52% |
| Skincare — premium (AOV > €70) | 15% | 22% | 30% | 42% | 58% |
| Supplements (daily-use vitamins, protein) | 14% | 22% | 31% | 45% | 62% |
| Supplements — single-purpose (sleep, immunity) | 9% | 15% | 22% | 34% | 48% |
| Specialty coffee (whole bean, ground) | 18% | 27% | 35% | 48% | 64% |
| Coffee — capsules / pods | 22% | 31% | 40% | 55% | 70% |
Two patterns jump out. First, coffee sits ~8-10 points above skincare in the one-time-heavy column, because bag-to-bag replenishment cadence (roughly 3-5 weeks) fits comfortably inside 90 days. Second, the subscription-heavy premium on supplements is the largest of any category — a well-run subscribe-and-save program on daily vitamins doubles the median RPR.
Median 90-day RPR: one-time-heavy vs subscription-heavy, by sub-category
One-time-heavy median
Subscription-heavy median
How to read your row
Start by classifying your store honestly. If between 15% and 40% of new orders opt into a subscription, you are in a hybrid zone — read yourself against the one-time-heavy top quartile as the realistic target, not the subscription-heavy median. Otherwise you will chase a number the mix cannot produce.
Second, adjust for AOV. A premium skincare brand at €90 AOV producing 25% RPR outperforms a mass-market skincare brand at €35 AOV producing 30% RPR on a revenue-per-new-customer basis. The related AOV-weighted RPR framing lets you compare across price tiers without penalising the premium end.
The subscription-mix trap
If you compare your subscription-heavy store to a blended DTC average like '22% is the benchmark', you will systematically under-invest in retention. A 22% RPR for a store where half of new orders are on subscribe-and-save is a bottom-quartile result, not an average one — the subscription orders are doing the heavy lifting and one-time buyers are churning silently.
What to do if you miss the benchmark
A below-benchmark 90-day RPR usually has one of three root causes: replenishment cadence longer than 90 days for your average SKU, a paid-acquisition mix skewed toward discount-driven prospecting, or a post-purchase flow that never surfaces a repeat trigger. Diagnose in that order — cadence first, because it caps the ceiling.
Once cadence is confirmed to fit inside 90 days, look at the acquisition-channel breakdown. Meta prospecting audiences with heavy first-order discounts typically produce 30-50% lower 90-day RPR than branded search or email-signup cohorts, and that gap alone can explain a benchmark miss. From there, prioritise retention drivers using the sub-category's specific replenishment triggers.
Frequently asked questions
It depends entirely on your sub-category and subscription mix. For a one-time-heavy supplement store, 22% is the median — average, not good. For a one-time-heavy specialty coffee store, 22% is below the bottom quartile. For any subscription-heavy consumable brand, 22% is a red flag that one-time buyers are churning.
Replenishment cadence. A 250-340g bag of coffee lasts most households 3-5 weeks, so a coffee drinker who liked the roast has two natural repurchase windows inside 90 days. A skincare serum lasts 6-10 weeks, leaving room for at most one repurchase in the window.
Include any subscription order that ships inside the 90-day window as a repeat purchase — that is how the benchmarks above are calculated. But always split your reporting into subscription-heavy and one-time-heavy cohorts before comparing, because blending them hides both wins and problems.
The thresholds used here are >40% of new orders opting into a subscription for subscription-heavy, and <15% for one-time-heavy. The 15-40% band is a hybrid zone where neither benchmark column is a clean fit and you should read against the one-time-heavy top quartile as your realistic target.
Use both. 90-day RPR is the early diagnostic — it tells you whether acquisition is landing on the right customers. 12-month cohort retention is the outcome measure and the number that actually drives LTV. If 90-day RPR is healthy but 12-month retention is not, your problem is post-second-order — likely product fit or subscription churn.
Heavy prospecting discounts (>25% off first order) typically drop 90-day RPR by 5-12 percentage points versus the same store's organic cohort. The effect is largest on single-purpose supplements and smallest on specialty coffee, where product experience carries more weight than the discount hook.
Premium skincare (AOV > €70) runs about 3 points above mass-market on 90-day RPR at every quartile. But on a revenue-per-new-customer basis the gap is much larger because each repeat order is worth roughly 2x more. That is why AOV-weighted RPR is the fairer cross-tier comparison.
Single-purpose SKUs (sleep aids, immunity boosters, pre-workout for occasional users) are consumed sporadically or seasonally, so the 90-day window often does not contain a natural repurchase trigger. The category ceiling is real — do not expect daily-vitamin benchmarks from a sleep-gummy catalogue.
The ranges are drawn from stores in the €1M-€15M range on Shopify, WooCommerce and Magento across the EU and UK. US brands tend to run 2-4 points higher on subscription-heavy rows because subscribe-and-save adoption is more mature there, but the relative ordering across sub-categories is the same.
Recompute monthly on a rolling new-customer cohort. Track it alongside acquisition-channel mix — a benchmark miss that appears alongside a shift toward paid prospecting is a mix problem, not a retention problem, and calls for different interventions.
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