ChurnMiserWhat is a good customer retention rate for ecommerce?
Retention benchmarks are only useful when they're honest about their precision. Here are the directional ranges published studies actually support, by industry — plus the eight KPIs worth putting on a Shopify retention dashboard.
Retention benchmarks by industry
| Industry | Typical repeat purchase rate | Typical 12-month retention | Purchase cycle note |
|---|---|---|---|
| Beauty & cosmetics | 25–35% | 30–40% | Replenishment every 1–3 months keeps reorders structural |
| Food & beverage | 28–40% | 35–45% | Weeks between orders — the fastest natural cycle in ecommerce |
| Apparel & fashion | 20–30% | 25–35% | Seasonal; engaged customers order 2–4 times per year |
| Supplements & wellness | 30–45% | 35–50% | 30–60 day replenishment; strongest subscription pull |
| Home goods | 15–25% | 20–30% | Months to years between purchases; accessories drive repeats |
| Electronics | 10–20% | 15–25% | Longest cycle; repeats come from accessories and upgrades |
A word on where these numbers come from, because it matters. There is no census of ecommerce retention — published figures come from email platforms, analytics vendors, and agency datasets, each measuring different stores, windows, and definitions. Those studies cluster around the ranges above rather than agreeing on precise values, which is why every cell is a range and why we'd distrust any source quoting "apparel retention is 26.4%." Use the table to sanity-check magnitude, not to grade a month.
The spread between rows is not about which industries are "better" at retention. It is almost entirely the purchase cycle: a supplement is used up in 45 days and reordered; a sofa is used for a decade. Identical customer satisfaction produces wildly different measured retention. That's also why the ranges assume a 12-month measurement window — what counts as "retained" when customers never formally cancel is defined by an inactivity window, covered in the churn rate guide under KPI 1 below.
The 8 retention KPIs worth tracking
Benchmarks tell you where you stand; KPIs tell you what's moving. These eight cover a Shopify retention dashboard without drowning it:
1. Customer churn rate
The share of existing customers who stop buying during a period — the loss-framed core metric, and the one to wire alerts to. For non-subscription stores it's defined by an inactivity window matched to your purchase cycle. Full formula and worked examples: how to calculate customer churn rate.
2. Customer retention rate
The mirror image of churn — the share of customers who stay, computed as 100 minus churn rate on the same customer base. It's the framing most published benchmarks (including the table above) use, and the better metric for quarterly goals and board reporting.
3. Repeat purchase rate
The percentage of all customers who have ordered more than once. It cuts through acquisition noise better than any other number: revenue can grow while repeat rate falls, and that's the treadmill signal. Formula, benchmarks, and tactics: repeat purchase rate for Shopify stores.
4. Customer lifetime value (CLV)
The revenue a customer generates across their whole relationship with your store. CLV turns retention percentages into dollars — the language budget decisions are made in. Compute it from actual order history rather than projections; the math is in how to calculate customer lifetime value on Shopify.
5. Time between orders
The median gap between a customer's consecutive purchases. This is the metric that sets every other clock: your churn window, your replenishment-reminder timing, and your win-back trigger should all be derived from it, not from a generic calendar.
6. Win-back conversion rate
Of the lapsed or at-risk customers you target with a win-back campaign, the share who actually purchase again. It's the direct measure of whether your retention spend converts — and the first number to check before scaling any win-back program.
7. Cohort retention
The percentage of each acquisition cohort (say, everyone who first purchased in January) still buying 1, 3, 6, and 12 months later. Cohorts are how you see whether retention is genuinely improving or your blended average is being propped up by acquisition volume — the technique is worth learning properly: cohort analysis for Shopify retention.
8. Returning-customer revenue share
The percentage of total revenue that comes from repeat buyers. It reframes retention for the P&L: a store doing 40%+ of revenue from returning customers has a fundamentally cheaper growth model than one doing 15%, even at identical top-line revenue.
How to use benchmarks without fooling yourself
Four rules keep benchmark comparisons honest:
- Your trend beats the industry's level. Moving your 12-month retention from 24% to 29% is a business-changing result even if a benchmark table says your vertical "should" be at 35%. The published range tells you your ceiling's neighborhood; your trend tells you whether you're climbing.
- Compare cohorts, not blended averages. A blended retention rate mixes customers acquired last month with customers acquired three years ago. Cohort curves are the only view where a change in retention strategy shows up cleanly.
- Keep definitions frozen. Changing your churn window from 90 to 180 days will "improve" retention by definition. If you change a definition, restate history under the new one before reading any trend.
- Segment before celebrating. A healthy store-wide number can hide VIPs quietly leaving while low-value discount buyers stick. The segment-level retention numbers are the actionable ones.
Tracking all eight KPIs by hand, by cohort, and by segment is real work — which is why most stores end up tooling it. Our roundup of the best Shopify customer retention apps compares what each option actually measures.
Frequently asked questions
What is a good customer retention rate for ecommerce?
A 12-month customer retention rate of roughly 25–35% is typical for ecommerce; consumable categories like supplements and food and beverage often reach 35–50%, while durables like electronics sit closer to 15–25%. Anything above your vertical's range is strong. Your own trend, measured on consistent cohorts, matters more than any published figure.
What retention KPIs should a Shopify store track?
Eight cover it: churn rate, retention rate, repeat purchase rate, customer lifetime value, time between orders, win-back conversion rate, cohort retention, and returning-customer revenue share. Churn rate, repeat purchase rate, and CLV are the core three — the rest add diagnostic depth.
Are ecommerce retention benchmarks by industry reliable?
Only directionally. Published benchmarks come from vendors and agencies measuring different customer sets, windows, and definitions of retention, so ranges are honest but point-precision is not. Treat a benchmark as a sanity check on magnitude, and use your own cohort-over-cohort trend as the real target.
Why do retention benchmarks vary so much between industries?
Because purchase cycles differ. Supplements and food are consumed and reordered within weeks, so high retention is structurally easy; furniture and electronics are bought once and last for years, so identical customer satisfaction produces far lower measured retention. Benchmark against your own vertical and purchase cycle, never against ecommerce as a whole.
See your store's churn risk in 2 minutes
Take the free ChurnMiser retention audit — answer 7 questions and get a personalized revenue-leak report showing exactly where you're losing customers. No credit card.
Take the free retention audit →Or install ChurnMiser from Shopify and start scoring customers today.