What is Retention Rate?
Also known as: Customer retention, User retention
What is retention rate?
Retention rate is the percentage of users, customers, or accounts who remain active in a product over a defined period. It is the inverse of churn rate. Churn measures who left. Retention measures who stayed.
The metric applies across business models. A mobile app measures whether a user opens the app again on Day 7. A SaaS company measures whether a paid account is still subscribed at month 12. An e-commerce brand measures whether a buyer places a second order within 90 days.
Retention is the single biggest driver of lifetime value. Hold retention flat and growth requires endless new acquisition. Improve retention and every dollar of acquisition compounds.
How retention rate is calculated (formula and worked example)
The standard formula:
Retention Rate = ((E - N) / S) × 100Where:
- S = users at the start of the period
- E = users at the end of the period
- N = new users acquired during the period
The subtraction matters. New users joining mid-period would otherwise inflate the number.
Worked example. A SaaS product starts January with 1,000 paid accounts. It adds 200 new accounts during the month. It ends January with 1,120 accounts.
Retention = ((1,120 - 200) / 1,000) × 100 = 92%Monthly churn is 8 percent. Annualized that is roughly 63 percent gross retention. The headline 1,120-accounts number hides the leak.
Day-1 vs Day-7 vs Day-30 retention (mobile app cohort metrics)
Mobile apps almost always report retention as a cohort curve. The standard checkpoints are Day 1, Day 7, and Day 30 after install. Per AppsFlyer's 2023 app retention benchmarks, the global cross-category median Day-30 retention is roughly 5 percent on iOS and 3 percent on Android.
| Vertical | Day 1 | Day 7 | Day 30 |
|---|---|---|---|
| Finance | 30% | 14% | 7% |
| Social | 28% | 12% | 5% |
| Gaming (casual) | 24% | 8% | 3% |
| Shopping | 22% | 9% | 4% |
| Utility | 26% | 11% | 5% |
Source: AppsFlyer 2023 cross-vertical app retention benchmarks. Numbers rounded.
The Day-1 number tells you whether onboarding works. Day-7 reflects habit formation. Day-30 is the closest signal to long-term LTV. Apps with Day-30 retention above 10 percent print money. Apps below 2 percent cannot buy their way to profitability.
SaaS retention vs app retention vs e-commerce retention
Each model frames retention differently.
SaaS retention
SaaS tracks two flavors. Gross retention measures revenue kept from existing accounts, ignoring expansion. Net revenue retention (NRR) adds upsells, cross-sells, and seat expansion. Per ProfitWell's SaaS metrics benchmarks, top-quartile B2B SaaS hits NRR above 120 percent. That means existing customers grow account value faster than new ones leave.
App retention
Apps measure user-level retention by cohort. Subscription apps add a second layer: subscriber retention by month. The two numbers diverge fast. A free user might churn after Day 7 while a subscriber stays for 14 months. Always report both.
E-commerce retention
E-commerce uses repeat-purchase rate as the proxy. The share of customers who buy a second time within a defined window (often 90 days). Per Mixpanel's product benchmarks, e-commerce sees the lowest cross-vertical retention, with most brands below 30 percent on Day 30. Subscription DTC (coffee, supplements, pet food) is the exception and behaves more like SaaS.
How to improve retention
Three levers move retention. Onboarding, engagement loops, and lifecycle messaging.
Onboarding. The first session decides Day-1 retention. Cut every friction step. Pre-fill what you can. Trigger the user's first "aha moment" inside the first 90 seconds. For a finance app, that is the first balance refresh. For a SaaS tool, the first imported dataset.
Engagement loops. Build reasons to return. Notifications tied to user-controlled events outperform broadcast pushes by 3 to 5x. A streak counter, a saved list, a teammate comment. Anything that creates a pull back into the product without your team pushing.
Retention emails and lifecycle messaging. Triggered emails outperform broadcast by an order of magnitude. Cart-abandonment, replenishment, win-back, and milestone emails reliably lift 30-day retention 5 to 15 percentage points when implemented from scratch.
Pair these with cohort analysis to see which lever moved which curve.
Real-world example with numbers
A mid-market B2B SaaS company runs the math after a retention sprint.
Before: 800 paid accounts. Monthly gross retention 88 percent. Average ACV $4,800. Average customer lifespan 8.3 months. LTV $3,320.
After (six months later): Onboarding rebuilt, in-app product tours added, dunning emails fixed. Monthly gross retention rises to 94 percent.
New math: Average lifespan jumps to 16.7 months. LTV doubles to $6,680. CAC payback drops from 14 months to 7 months. Same acquisition spend, twice the value per customer.
The growth team did not run a single new ad campaign during the sprint. The compounding came from the retention curve alone.
Retention as a paid-media signal
Most ad accounts optimize on first conversion. That is a mistake when retention varies wildly across the buyer base.
A smarter setup: build a high-retention seed audience and feed it to the platforms.
- Pull customers from your warehouse who are still active 90 days post-purchase.
- Upload as a custom audience to Meta, TikTok, and Google.
- Build a lookalike audience from that seed.
- Run cold prospecting against the lookalike, not the broad pool.
The platforms now train delivery on users who resemble durable buyers, not impulse first-clickers. Cost per high-LTV acquisition typically drops 20 to 40 percent compared with optimizing on first purchase.
The same logic applies in reverse. Customers who churned in the first 30 days become a negative audience, suppressed from prospecting campaigns. The retention rate stops being a backward-looking dashboard metric and becomes a forward-looking targeting signal.
Related terms
Frequently asked questions
What is a good retention rate?
It depends on the model. Median Day-30 retention for mobile apps sits near 5 percent across categories per AppsFlyer's 2023 retention report. Strong B2B SaaS targets gross monthly retention above 95 percent and net revenue retention above 110 percent. E-commerce repeat-purchase rate above 27 percent is healthy.
What is the difference between retention rate and churn rate?
They are mirrors. Retention is the share who stayed. Churn is the share who left. If 100 customers start the month and 8 cancel, monthly churn is 8 percent and retention is 92 percent. Most teams track both. Retention frames growth. Churn frames the leak.
What is cohort retention?
Cohort retention groups users by the period they signed up, then tracks each cohort's survival over time. It removes the distortion caused by new-user growth. A cohort table shows whether your product is getting stickier or weaker month over month, which a single blended retention number hides.
How does retention affect LTV?
LTV scales with retention almost linearly. Doubling monthly retention from 90 to 95 percent doubles average customer lifespan. Per Bain & Company research, a 5 percent improvement in retention can increase profits by 25 to 95 percent depending on the business model. Retention is the highest-impact metric in subscription economics.
How is retention used as a paid-media signal?
Meta, TikTok, and Google all let you upload a high-retention customer list as a seed audience. The platforms train delivery on users who behave like long-term buyers, not first-time clickers. Cost per high-LTV acquisition drops 20 to 40 percent compared with optimizing on first purchase alone.