Cognera
Engagement is not a metric—it's a pattern. Cognera reads the behavioral rhythm of every user and tells you which patterns predict long-term retention, and which signal an approaching churn event.
Cognera automatically segments your user base by engagement pattern—not by demographic. Power users, active users, casual users, and at-risk users each get a distinct behavioral profile and a recommended treatment strategy.
Explore segmentationBehavioral User Types
Automatically classified · Your product
Power Users
Daily engagement, deep sessions, feature diversity
Active Users
Regular usage, moderate depth, stable patterns
Casual Users
Infrequent sessions, shallow depth, limited features
At-Risk Users
Declining frequency, short sessions, early exit signals
Connect your product to see real segment distribution
Measure how deeply users engage in each session—not just whether they opened the app. Identify sessions with genuine focus vs. passive scrolling.
Detect whether users are forming product habits. Monitor return frequency, session consistency, and engagement ritual patterns over time.
Receive automated alerts when a user's engagement pattern starts resembling pre-churn behavior. Act before they leave.
Understand what behavioral events consistently precede re-engagement. Engineer those events deliberately into your product experience.
Track which features get adopted, which get ignored, and which correlate most strongly with long-term retention.
A composite score across depth, frequency, diversity, and habit strength. A single number that captures how engaged a user really is.
Behavioral drift—shorter sessions, fewer features used, faster exits—appears weeks before a user churns. Cognera surfaces it automatically.
The behavioral events that precede daily active use are consistent and learnable. Cognera maps them so you can engineer them deliberately.
Churn risk scores update continuously. Your team gets notified when a user's pattern crosses a risk threshold—not after they've already left.
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