Analytics & Fan Insights

Understanding fan groups:

Segment Types:

• Behavioral segments
• Value segments
• Lifecycle stages
• Preference clusters
• Engagement tiers

Segmentation Criteria:

• Activity level
• Spend patterns
• Content preferences
• Feature usage
• Tenure

Application:

• Targeted messaging
• Personalization
• Offer targeting
• Experience customization
• Resource allocation

Mapping fan experience:

Journey Mapping:

• Acquisition paths
• Onboarding flows
• Feature discovery
• Conversion funnels
• Retention loops

Analysis:

• Drop-off points
• Friction identification
• Success paths
• Time to value
• Channel attribution

Optimization:

• Funnel improvement
• Experience optimization
• Personalized journeys
• A/B testing

Revenue and growth:

Revenue Metrics:

• Revenue per user
• Transaction value
• Conversion rates
• Revenue attribution
• LTV calculation

Growth:

• Acquisition metrics
• Activation rates
• Retention rates
• Referral tracking
• Churn analysis

ROI:

• Campaign ROI
• Feature ROI
• Partner value
• Investment returns

AI-powered insights:

Predictions:

• Churn prediction
• Purchase propensity
• Engagement forecast
• Event attendance
• Lifetime value

Risk Scoring:

• At-risk identification
• Intervention triggers
• Win-back timing
• Escalation alerts

Optimization:

• Next best action
• Optimal timing
• Content recommendations
• Offer optimization

Visualizing insights:

Dashboards:

• Executive overview
• Operations dashboard
• Campaign performance
• Real-time monitoring
• Custom views

Reports:

• Scheduled reports
• Ad-hoc analysis
• Export capabilities
• API access
• Alerting

Visualization:

• Interactive charts
• Drill-down
• Comparison views
• Trend analysis
• Natural language queries