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Cohort retention

CB Stats cohort retention table with a colored monthly retention matrix.
Table of Contents

Definition

Cohort retention measures what percentage of users who signed up in a given time period continue making purchases in subsequent months.

Quick answer: Cohort retention tracks the percentage of users from a specific signup month who continue spending in later months. A 15% retention rate at month 6 is solid for cam traffic.

Key takeaways

  • Group referrals by their first purchase month, then track what percentage remain active each subsequent month
  • Most cam affiliate cohorts lose 50-70% of spenders by month 2 and stabilize around 10-20% by month 6
  • Retention curves that flatten above 10% at month 6+ indicate your traffic will generate strong long-term revshare
  • CB-Stats displays retention as both a heatmap matrix and a curve chart for visual comparison across cohorts

What cohort retention measures

Cohort retention groups your referred users by the month they first spent money, then tracks what fraction of that group keeps spending in each following month. If 200 users made their first purchase in March, and 40 of them also spent in April, March's month-1 retention is 20%.
This is different from just looking at "active users this month." Total active users can stay flat even if retention is terrible, as long as you keep adding new users. Cohort retention reveals the underlying quality. If every cohort loses 90% by month 3, your revshare income depends entirely on a constant flow of new traffic.

Why retention decides whether revshare is worth it

Retention is the multiplier that determines whether a referred user earns you $5 or $500 over their lifetime. A user who sticks around for 12 months and spends $80/month generates $192 in revshare commission at 20%. A user who buys tokens once and never returns generates $4. Same signup, 48x difference in value.
I use retention curves as my primary decision tool for traffic investments. When I tested a new content strategy in Q3 2024, the cohort from those months showed 18% retention at month 6 versus 11% from my previous strategy. That 7 percentage point improvement translated to roughly 40% more revshare revenue per referral over a year.

How to read a retention curve

A healthy retention curve drops steeply in months 1-2 (this is normal), then flattens into a long tail where your loyal spenders remain. The steepness of the initial drop matters less than where the curve levels off. A cohort that drops to 30% in month 1 but holds at 15% through month 12 is better than one that drops to 40% in month 1 but bleeds to 5% by month 6.
MonthTypical retentionStrong retention
Month 125-35%35-45%
Month 315-20%22-30%
Month 610-15%15-22%
Month 128-12%12-18%
These ranges come from my own data across multiple traffic sources over 4 years. Your numbers will vary based on geo, traffic intent, and the niche you target.

How CB-Stats displays cohort retention

CB-Stats builds a retention matrix showing 12 cohorts by 12 months, color-coded as a heatmap so you can spot retention patterns at a glance. Darker cells mean higher retention. You can immediately see if recent cohorts retain better or worse than older ones.
The retention curve chart overlays multiple cohorts on the same axes, making it easy to compare shapes. A combined dual-axis chart also shows retention percentage on the left axis and average revenue per user on the right, so you see both engagement and value together. The time-based insights section identifies your best performing hour, day of month, and month for revenue.

Frequently Asked Questions

What is a good month-6 retention rate for cam affiliates?

A month-6 retention rate of 15% or higher is strong. Between 10% and 15% is average. Below 10% suggests your traffic has low purchase intent. These benchmarks are based on revshare programs where retention directly impacts your recurring income.

How do I improve cohort retention?

You cannot influence user behavior after the referral since you have no direct contact with them. What you can do is improve traffic quality. Target higher-intent keywords, focus on tier-1 geos, and use tracker links to identify which sources produce the stickiest users. Then scale those sources.

How is cohort retention different from overall retention?

Overall retention mixes all users together regardless of when they joined. Cohort retention isolates each signup period. This matters because traffic quality changes over time. A new content strategy might produce better-retaining users, but you would not see that in overall numbers until months later.

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