Metrics
Customers
Track customer growth, engagement patterns, and analyze customer behavior with comprehensive customer analytics
Analyze customer growth, engagement patterns, and lifetime value with comprehensive customer analytics and insights.
Customer Metrics Dashboard
New Customer Growth:Key Acquisition Metrics:
Growth Insights:
- Total Customers - Complete customer count
- New Customers - Recent customer additions
- Growth Rate - Customer acquisition velocity
- Acquisition Trends - Time-based growth patterns
- Daily customer sign-ups
- Weekly acquisition trends
- Monthly growth patterns
- Seasonal acquisition cycles
Customer Analytics Dashboard
- Peak acquisition periods
- Growth acceleration/deceleration
- Customer acquisition cost trends
- Marketing campaign effectiveness
Advanced Customer Analytics
Customer Acquisition Data
Customer Acquisition Data
Detailed Acquisition Analysis:Acquisition Sources:
- Direct Sign-ups - Organic customer acquisition
- Referral Programs - Customer-referred acquisitions
- Marketing Campaigns - Campaign-driven sign-ups
- Partnership Channels - Partner-referred customers
- Acquisition cost per customer
- Customer acquisition efficiency
- Source-specific conversion rates
- Time-to-first-transaction
- Acquisition trend projections
- Growth rate predictions
- Market penetration analysis
- Capacity planning insights
Customer Retention Analysis
Customer Retention Analysis
Retention & Churn Metrics:Retention Indicators:
- Customer Retention Rate - Percentage of retained customers
- Churn Rate - Customer loss percentage
- Customer Lifetime - Average customer lifespan
- Repeat Transaction Rate - Customer re-engagement
- 30-day retention rates
- 90-day retention analysis
- Annual retention tracking
- Cohort retention analysis
- Churn reasons identification
- At-risk customer identification
- Churn prevention strategies
- Win-back campaign effectiveness
Customer Value Segmentation
Customer Value Segmentation
Value-Based Customer Groups:Value Segments:
- High-Value Customers - Top revenue contributors
- Medium-Value Customers - Regular transaction users
- Low-Value Customers - Occasional users
- Growth Potential - Customers with expansion opportunity
- Customer lifetime value (CLV)
- Average revenue per customer
- Transaction frequency by value segment
- Revenue concentration analysis
- Value segment migration patterns
- Customer upgrade opportunities
- Cross-selling potential
- Customer development strategies
Customer Insights and Behavior
Transaction Behavior
Customer Transaction Patterns:
- Transaction frequency analysis
- Preferred payment methods
- Transaction value patterns
- Seasonal behavior trends
Engagement Metrics
Customer Engagement:
- Platform usage frequency
- Feature adoption rates
- Customer support interactions
- Product usage patterns
Customer Filtering and Analysis
1
Select Time Range
Choose your analysis period:
- 7 Days - Recent customer activity
- 30 Days - Monthly customer patterns
- 90 Days - Quarterly customer analysis
- 1 Year - Annual customer trends
- Custom Range - Specific date periods
2
Filter by Customer Type
Focus on specific customer segments:
- All Customers - Complete customer base
- Individual - Personal account holders
- Business - Business account holders
- Active Only - Recently active customers
3
Analyze Customer Metrics
Review key customer indicators:
- Customer acquisition trends
- Retention and churn rates
- Customer value distribution
- Behavioral patterns
4
Export Customer Data
Download customer analytics:
- CSV export for detailed analysis
- Customer segment reports
- Acquisition trend charts
- Retention analysis reports
Customer Performance Metrics
Customer Growth Metrics
Customer Growth Metrics
Growth Performance Indicators:Key Growth Metrics:
- Total customer count
- New customer acquisition rate
- Customer growth percentage
- Month-over-month growth
- Organic vs. paid acquisition
- Customer activation rates
- Time-to-first-transaction
- Customer onboarding success
- Customer acquisition cost trends
- Customer payback periods
- Long-term value projections
- Market saturation analysis
Customer Engagement Analysis
Customer Engagement Analysis
Engagement Depth Metrics:Activity Indicators:
- Login frequency
- Transaction frequency
- Feature usage rates
- Session duration
- Peak activity periods
- Usage consistency
- Feature adoption progression
- Customer journey mapping
- Low-engagement identification
- Re-engagement strategies
- Feature usage optimization
- Customer experience improvements
Customer Lifetime Value
Customer Lifetime Value
CLV Analysis and Optimization:CLV Components:
- Average transaction value
- Transaction frequency
- Customer lifespan
- Retention probability
- High CLV customer identification
- CLV growth potential analysis
- CLV optimization strategies
- Customer development programs
- Predictive CLV modeling
- Customer value projections
- Revenue forecasting
- Investment prioritization
Customer Data Export and Reporting
Customer Reports
Comprehensive Reporting:
- Customer acquisition reports
- Segmentation analysis reports
- Retention and churn analysis
- Customer behavior insights
Data Visualization
Visual Analytics:
- Customer distribution charts
- Acquisition trend graphs
- Retention curve analysis
- Behavioral pattern visualization
Automated Insights
AI-Powered Analysis:
- Customer behavior predictions
- Churn risk identification
- Growth opportunity detection
- Personalization recommendations
Customer Segmentation Strategies
Demographic Segmentation
Demographic Segmentation
Customer Demographics:Geographic Segmentation:
- Customer location analysis
- Regional growth patterns
- Market penetration by region
- Localization opportunities
- Individual vs. business customers
- Account size distribution
- Industry vertical analysis
- Customer maturity levels
Behavioral Segmentation
Behavioral Segmentation
Usage-Based Segmentation:Transaction Behavior:
- High-frequency users
- High-value customers
- Multi-product users
- Single-product users
- Power users
- Regular users
- Occasional users
- Dormant users
- New customers
- Growing customers
- Mature customers
- At-risk customers
Use customer segmentation to personalize experiences and improve retention. Focus on high-value customer segments for maximum business impact while developing strategies to grow lower-value segments.
Customer metrics are updated in real-time as customer activities occur. Historical data enables trend analysis and predictive modeling for customer behavior and business planning.