Retention Rate
Retention rate tracks the share of customers who keep buying over a defined window. Read the formula, see cohort-based benchmarks, and learn how small lifts compound into outsized LTV gains.
Retention Rate
The percentage of existing customers who remain active — typically repurchasing — across a defined time window.
Retention rate measures how many customers from a starting group are still active at the end of a period, excluding new customers acquired during that window. It is the mirror image of churn: a 70% retention rate over 90 days means 30% of that cohort did not come back.
The metric is most useful when calculated by cohort — the group of customers acquired in a specific month or campaign — rather than blended across the whole base. Cohort retention exposes whether recent acquisition is healthier or weaker than earlier batches, and it compounds: a 5-point retention improvement on a repeat-purchase business often translates into a 20-40% lift in lifetime value.
Retention rate sits at the heart of any honest growth model. You can hide a leaky funnel with paid acquisition for a while, but if customers do not come back, blended CAC creeps up every quarter and margin disappears with it.
It is also one of the few metrics where the second decimal point matters. A jump from 25% to 30% 90-day retention does not sound dramatic — but compounded over four purchase cycles it can roughly double the revenue you earn per acquired customer.
Retention Rate = ((Customers at End of Period − New Customers Acquired in Period) / Customers at Start of Period) × 100
E
Customers at End of Period
Total active customers at the close of the measurement window.
N
New Customers in Period
Customers acquired during the window — subtracted so you only measure the starting cohort.
S
Customers at Start of Period
Active customers on day one of the window. The denominator anchors the rate to a fixed cohort.
A Shopify apparel store starts Q1 with 4,000 active customers. By the end of Q1 it has 4,600 active customers, but 1,200 of those are brand-new acquisitions from a spring campaign.
Customers at start (S): 4,000
Customers at end (E): 4,600
New customers acquired (N): 1,200
→ Retention Rate = ((4,600 − 1,200) / 4,000) × 100 = 85%
85% of the Q1-opening cohort was still active 90 days later. For an apparel brand that's strong — most categories sit between 60-75% on a quarterly basis. Watch how this same cohort decays over Q2 and Q3 to spot when repeat demand fades.
Blended retention rate is a board-deck number; cohort retention is an operating number. Tag every customer with their acquisition month and re-measure each cohort at 30, 60, 90, and 180 days. The shape of the decay curve tells you whether product, onboarding emails, or replenishment cadence is the weak link.
90-day customer retention rate benchmarks by ecommerce vertical
| Vertical | Bottom quartile | Median | Top quartile |
|---|---|---|---|
| Beauty & personal care | 28% | 42% | 58% |
| Apparel & accessories | 22% | 35% | 50% |
| Health & supplements | 35% | 55% | 72% |
| Home & decor | 15% | 24% | 38% |
| Food & beverage (subscription) | 55% | 72% | 85% |
| Consumer electronics | 12% | 20% | 32% |
Improving retention is rarely about loyalty points. The highest-impact levers are reorder timing (a replenishment email landing 3 days before the typical refill window), post-purchase product education, and removing friction from the second checkout — saved payment methods, one-tap reorder, and accurate inventory signals all matter more than discount stacking.
Retention rate FAQ
They are mathematical complements: retention rate + churn rate = 100% over the same period. Retention frames the conversation around the customers you keep; churn frames it around the ones you lose. Use retention for cohort analysis and LTV modelling; use churn when you need to size a problem or set a leakage threshold.
Repeat purchase rate is the share of all customers who have ever made more than one order — a lifetime view. Retention rate is anchored to a specific period and cohort, so it captures whether things are getting better or worse over time. Both belong in your dashboard for different reasons.
Match the window to your natural purchase cycle. Beauty and supplements typically run on 30-60 day cycles, apparel on 90 days, and electronics or furniture on 6-12 months. Measuring at a window shorter than your repeat cycle will make retention look artificially low.
It depends heavily on category. A 35% 90-day retention rate is roughly median for apparel, while supplements and subscription food regularly clear 70%. The more important question is whether your retention is trending up or down across recent acquisition cohorts.
LTV is essentially retention compounded. A 5-point lift in periodic retention can increase LTV by 25-40% because each retained customer generates additional purchase cycles. This is why even small retention improvements often outperform large acquisition optimisations on a contribution-margin basis.
Blended retention mixes healthy old cohorts with weak new ones, hiding deterioration. If your January cohort retains at 50% and your June cohort at 30%, blended numbers will still look fine for a while — until they don't. Cohort retention surfaces the problem months earlier.
Customers acquired on heavy first-order discounts often retain 30-50% worse than full-price acquisitions in the same period. Track retention separately for discount-acquired and full-price-acquired cohorts to see the real picture, and feed that delta back into paid-channel allocation.
The fastest wins are usually post-purchase: a well-timed replenishment email tied to the actual product use cycle, a frictionless second checkout, and proactive shipping or stock-out communication. These typically lift 90-day retention by 3-7 points within a quarter — faster than loyalty programmes.
No. Subscription retention is structurally different — it measures plan continuation, not purchase initiation — and is typically 20-40 points higher than one-time retention. Reporting them separately prevents the subscription base from masking weakness in transactional revenue.
Retention rate is the bridge between acquisition metrics (CAC, ROAS) and value metrics (AOV, LTV). It determines how many purchase cycles a customer contributes, which in turn sets the payback window on every paid acquisition euro you spend. Treat it as a leading indicator, not a lagging report.
Start tracking the metric that matters
Free for 30 days. No credit card. Connect your site in 4 minutes and see the one metric driving revenue.