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Track how user behavior evolves over time across different dimensions with AI-powered cohort analysis. Insights automatically analyzes your data each week and surfaces actionable findings across acquisition, activation, revenue, and churn.
Insights page showing acquisition quality, activation, revenue, and churn prediction

Cohort Analysis

Insights runs a weekly cohort analysis that answers four key questions about your users:

Acquisition Quality

Which channels produce users with the highest retention? Acquisition Quality ranks your traffic sources by the retention rate of the users they bring in. Instead of optimizing for volume alone, you can identify which channels produce users that actually stick around. Each channel shows:
ColumnDescription
ChannelThe traffic source (e.g., discord.com, google.com, t.co)
UsersNumber of users acquired from this channel
RetentionWeek-4 retention rate for users from this channel
Use this to shift acquisition spend toward channels that produce higher-quality users, not just more users.

Activation — “Aha Moment”

Which early action predicts long-term retention? Activation identifies the single event within a user’s first few days that most strongly predicts long-term retention. This is the “aha moment” — the action that separates users who stay from those who churn. The insight shows:
  • The event that predicts retention (e.g., “Form Response Submitted”)
  • Time window for the action (e.g., “within first 7 days”)
  • Retention lift compared to users who don’t perform this action (e.g., “+42% week-4 retention”)
Once you identify your aha moment, design your onboarding to guide every new user toward that action as quickly as possible.

Revenue Insights

Are recent customers more valuable? Revenue Insights compares per-user value across weekly cohorts so you can spot whether your product changes are attracting higher-value users or if value is declining. The chart displays:
  • Weekly cohorts on the x-axis
  • Average value per user on the y-axis
  • Trend analysis highlighting spikes and declines

Churn Prediction

What behaviors signal a user is about to churn? Churn Prediction surfaces early warning signals — specific user behaviors that precede churn. Each signal includes a risk level and a description of what the data shows.
ColumnDescription
BehaviorThe action or pattern that precedes churn
Risk LevelHigh, Medium, or Low severity
DescriptionWhat the data shows about this signal
For example:
  • High risk: “Users who trigger an error event have a 92% churn rate within the first 72 hours”
  • Medium risk: “Users who disconnect before completing onboarding rarely return”

Weekly Summary

In addition to cohort analysis, the Insights page provides a weekly summary organized into four sections:
  • 🏆 Wins — Metrics that improved this week, with deltas and baselines
  • ⚠️ Issues — Performance drops or problems that need attention
  • 📈 Opportunities — Untapped segments or behaviors with estimated upside
  • Actions — Concrete action items with priority levels (High/Med/Low) and success metrics

How to use Insights

  1. Navigate to the Formo Dashboard
  2. Select your project
  3. Click Insights in the left navigation (✨ sparkle icon)
  4. Insights are generated automatically each week — review the latest analysis and take action
Insights are generated using AI analysis of your actual analytics data. Results are cached daily and refresh automatically each week.

Combining Insights with other features

InsightFollow-up action
Low-quality acquisition channelCreate a segment of users from that channel to investigate
Aha moment identifiedBuild a funnel to measure how many users reach that event
Revenue decline in recent cohortsUse retention analysis to understand drop-off patterns
High churn signal detectedSet up an alert to notify you when users exhibit that behavior
Behavioral gap between power and casual usersExplore the gap using Ask AI or the Explorer

Next Steps

Retention

Dive deeper into cohort retention patterns

Funnels

Measure conversion toward your aha moment

User Segments

Create segments based on insight findings

Alerts

Get notified when churn signals are detected