Cohort Retention Calculator — M1 / M3 / M6 / M12 Survival
Free cohort retention calculator. Enter cohort size + survivors at M1/M3/M6/M12 — get retention % at each milestone. Targets: M12 ≥ 40% SMB, ≥ 80% enterprise.
Cohort Retention Calculator
Track how many customers from your starting cohort remain active at each milestone.
M1 retention
80.0%
M3 retention
65.0%
M6 retention
52.0%
M12 retention
40.0%
The retention curve flattens after the first few months — if you're still bleeding customers at month 6+, you don't have product-market fit. The M12 number is what determines LTV. SaaS targets: M12 ≥ 40% for SMB, ≥ 80% for enterprise.
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Retention tells you where your product actually stands
A team launches with 100 customers. Six months later, 52 are still active — the rest churn quietly. That 52% looks tolerable in isolation, but if you compare it to the SaaS benchmark of 80% for enterprise or 40% for SMB, you now have a concrete gap to close. Without retention snapshots, that early churn stays invisible until the revenue problem shows up months later.
Survivors and milestones, not tables
This calculator takes your raw survivor counts at each milestone (M1, M3, M6, M12) and converts them to retention percentages using a simple formula: (survivors / cohort size) × 100. It then flags M12 retention against the SaaS benchmarks: ≥ 40% for SMB, ≥ 80% for enterprise. A 100-person cohort with 40 survivors at M12 shows 40% retention — exactly the SMB minimum; at 20 survivors, you fall below the warning zone at 20%.
A snapshot, not a prediction
This tool shows you where a single cohort stands right now at fixed milestones. It does not build a full cohort table across months, does not forecast future churn, and does not adjust for seasonality or product changes mid-cohort. If retention dipped at M3 but climbed back by M6, the tool shows you both numbers separately — the interpretation is yours. For tracking multiple cohorts or predicting churn rates, you'll need to run the snapshots monthly and maintain your own trend line.
Compare against LTV math
The M12 retention number directly drives LTV. A 40% M12 retention and a 2% monthly churn rate are mathematically related; if your snapshots don't match your churn math, something in the data collection is off. Use LTV Calculator to validate that the retention curve you're seeing aligns with your lifetime value estimates.
How to use the Cohort Retention Calculator
Takes about a minute. No signup, no download, your data stays in your browser.
- 1Open the tool. Scroll up to the Cohort Retention Calculator above — it loads instantly in your browser, no install needed.
- 2Enter your values. The fields come pre-filled with realistic defaults so you can see how it works — replace them with your own numbers.
- 3Read the result. The output updates instantly. Copy or share it — nothing is uploaded to a server, everything stays on your device.
Frequently asked questions
Common questions about the Cohort Retention Calculator.
How do I know if my M12 retention is good?
The calculator flags M12 retention against SaaS benchmarks: ≥ 40% is healthy for SMB, ≥ 80% for enterprise. Under 20% signals product-market fit problems — you're losing customers faster than you can acquire them profitably. Between 20% and 40% is a warning zone where you should focus on the product before scaling marketing.
Can I use this to track churn rate?
Not directly. Retention percentage and churn rate are inverses — 60% retention = 40% churn. But this tool only shows snapshots at specific milestones; it doesn't calculate or project monthly churn. If you have M1 at 80% and M3 at 65%, the churn is not linear between those points. For a full churn analysis, track survivor counts monthly and calculate the month-over-month drop yourself.
What if my survivors exceed the cohort size?
The calculator will show retention over 100%, which signals a data error — you cannot have more survivors than the original cohort. This usually means double-counting reactivations as new customers, or logging the same person in multiple cohorts. Fix the source data before relying on the percentages.
Why does this show only four milestones?
The retention curve steepens early and flattens after month 3–6. These four snapshots capture the shape: fast early churn (M1), the worst case (M3), stabilization (M6), and the long-term hold (M12). If you need month-by-month detail, maintain your own cohort table; this tool is designed for quick benchmarking at the standard gates.
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