Introduction

Cohorts are the bridge between understanding user behavior and acting on it. A cohort is simply a group of users with something in common — the same signup date, the same behavior, the same lifecycle stage.

This guide covers how to think about cohorts, how to create them, and how to use them to personalize your app experiences via in-app engagement.

Cohort Basics: What & Why

A cohort is a group of users who share a defining characteristic created or identified at a specific point in time. Examples:

• All users who signed up in June 2026 (cohort by time)
• All users who completed their first purchase (cohort by action)
• All users who haven't logged in for 14+ days (cohort by absence)
• All users in the top 20% by lifetime value (cohort by monetization)

Why cohorts matter: they let you run targeted, personalized campaigns to users with similar needs and behaviors. Instead of one generic message to everyone, you send "power users" a message about advanced features, and "new users" a message about onboarding.

RFM Cohorts: Recency, Frequency, Monetary

RFM is the gold standard for segmentation. Divide users by:

• Recency: Days since last action (Active: 0-7 days, At-risk: 8-30 days, Dormant: 30+ days)
• Frequency: Actions per period (High: 10+/week, Medium: 2-9/week, Low: 1 or fewer)
• Monetary: Revenue generated (High: top 20%, Medium: 20-80%, Low: bottom 20%)

This creates 27 cohorts (3×3×3). Each has distinct needs: High-recency, high-frequency, high-value users need to be re-engaged to upgrade. Low-recency users need reactivation before they churn.

Behavioral Cohorts: Build from Actions

Beyond RFM, segment by specific behaviors:

• Feature adoption: Users who've used feature X, Y, and/or Z
• Use case: Users who've searched, posted, shared, purchased, etc.
• Drop-off point: Users who dropped at onboarding step 3, step 5, etc.
• Devices: iOS vs Android (for feature rollouts)

Create these cohorts in Mixpanel or Amplitude, then use them in AppStorys to target specific in-app campaigns.

Lifecycle Cohorts: Where in the Journey

Segment by lifecycle stage:

• Onboarding: First-time users, incomplete profile
• Engaged: Users hitting your key milestones regularly
• At-risk: Declining activity, no action in 7+ days
• Churned: No action in 30+ days
• VIP: Top spenders, frequent users, power users

Each stage has different messaging: Onboarding needs guidance, Engaged needs new features to explore, At-risk needs a reason to come back, Churned needs a reactivation offer.

How to Create Cohorts in Your Tools

In Mixpanel or Amplitude: Build a cohort query by combining conditions (e.g., "did event X AND didn't do event Y in the last 30 days").

In a CDP (Segment, mParticle, Tealium): Define cohort rules and sync to all destinations automatically.

Using Cohorts for Personalization

Once you've created cohorts, personalize with AppStorys:

1. Sync cohort from analytics → CDP → AppStorys
2. Create a story, survey, or banner tailored to that cohort's needs
3. Launch to the cohort only (no wasted impressions)
4. Measure uplift in engagement metrics
5. Refine and iterate

Measuring Cohort Performance

Track these metrics for each cohort:

• Campaign impression rate (% of cohort who saw the campaign)
• Engagement rate (% who interacted)
• Action rate (% who took the desired action)
• Retention lift (did engagement improve week-over-week?)

Common Cohort Mistakes

• Cohorts too small: Can't measure lift if cohort is only 10 users. Aim for 100+.
• Cohorts too broad: "All active users" is too generic. Narrow to a specific behavior or stage.
• Stale cohorts: If you create a cohort and never refresh it, it becomes meaningless. Update weekly or more.
• No baseline: Always A/B test: campaign to cohort vs. control group, so you know if your message drove the lift.

Conclusion

User cohorts are the foundation of personalization. Start with RFM, add behavioral cohorts for specific use cases, and use them in AppStorys to launch targeted campaigns that drive engagement and retention.

Deepen Your Cohort & Personalization Knowledge

• App User Segmentation: Advanced Targeting — beyond cohorts, comprehensive segmentation strategies
• CDP Integration & Cohort Creation — sync cohorts to AppStorys
• Mixpanel vs Amplitude — where to build and measure cohorts
• Mobile App Analytics — metrics to track per cohort

Ready to launch personalized campaigns to user cohorts? AppStorys makes it seamless. Book a demo.