Engagement Health Scores

Advanced behavioral intelligence that dynamically tracks subscriber health through sophisticated engagement scoring algorithms

Real-time Analysis
Predictive Intelligence
Behavioral Patterns
Churn Prevention

Multi-Factor Scoring

Comprehensive health scores based on 6 key engagement components

Open Engagement25%
Click Engagement20%
Time Decay20%
Frequency & Recency30%
Consistency5%

Behavioral Analysis

Deep insights into subscriber preferences and patterns

Device Preference

Mobile, Desktop, Tablet usage patterns

Time Preference

Optimal send times and days

Engagement Pattern

Consistent, Sporadic, Declining, Seasonal

Predictive Intelligence

AI-powered churn risk prediction and intervention opportunities

Churn Risk Score

0-100% probability with confidence levels

Risk Factors

Automatic identification of concerning patterns

Opportunities

Actionable recommendations for improvement

Health Status Categories

Subscribers are automatically categorized based on their engagement health scores

Excellent
Score: 80-100
Highly engaged subscribers with consistent positive interactions
Good
Score: 60-79
Regular engagement with room for improvement
At Risk
Score: 40-59
Declining engagement patterns requiring attention
Churning
Score: 20-39
High risk of unsubscribing, needs immediate intervention
Inactive
Score: 0-19
Minimal to no engagement, likely to churn soon

Engagement Health Scores

Dynamic subscriber health monitoring and behavioral intelligence

Total Subscribers

0

Average Health Score

0

Healthy Subscribers

0

0%

High Churn Risk

0

0%

Health Status Distribution

0
excellent
0%
0
good
0%
0
at risk
0%
0
churning
0%
0
inactive
0%

Filters

Individual Health Scores

Loading health scores...

How It Works

Advanced algorithms analyze multiple data points to provide comprehensive health insights

Scoring Components

Open Engagement: Email open rate trends over time
Click Engagement: Click-through rate and interaction quality
Time Decay: Recent activity weighted more heavily
Frequency: Consistency of engagement intervals
Recency: How recently the subscriber engaged
Consistency: Regular vs sporadic engagement patterns

Behavioral Intelligence

Device Analysis: Mobile vs desktop usage patterns
Time Preferences: Optimal engagement hours and days
Content Affinity: Topic and format preferences
Engagement Trends: Improving, stable, or declining patterns
Seasonal Patterns: Cyclical engagement behaviors
Risk Prediction: AI-powered churn probability