UserAnalytics
Understand how users interact with your AI MVP. Track engagement, measure feature adoption, and make data-driven decisions to grow faster.
Analytics Features
Comprehensive analytics built specifically for AI-powered products.
Real-Time Event Tracking
Track every user interaction with your AI features—prompts, responses, feature usage, and satisfaction signals in real time.
User Segmentation
Segment users by behavior, demographics, plan tier, and AI usage patterns to understand different user personas.
Retention & Churn Analysis
Identify at-risk users before they leave. Track cohort retention, engagement drop-offs, and re-engagement opportunities.
AI Feature Adoption
Measure which AI features drive value. Track adoption funnels, usage frequency, and correlation with retention.
Conversion Funnels
Visualize user journeys from signup to activation to paid conversion. Identify and fix drop-off points in your funnel.
Performance Metrics
Track AI model latency, accuracy, error rates, and user satisfaction to continuously improve your product.
Analytics Implementation
Analytics Strategy
Define key metrics, tracking plan, and analytics architecture for your AI MVP.
- Metric framework
- Tracking plan
- Tool selection
- Privacy compliance
Instrumentation
Implement event tracking, user identification, and data pipeline for reliable analytics.
- Event tracking
- User identification
- Data pipeline
- QA validation
Dashboards & Reports
Build custom dashboards, automated reports, and alerting for key metric changes.
- Dashboard design
- Report automation
- Alert setup
- Stakeholder views
Insights & Optimization
Analyze initial data, identify optimization opportunities, and set up A/B testing framework.
- Data analysis
- A/B test framework
- Optimization plan
- Growth levers