In today’s competitive landscape, intuition isn’t enough. The most successful products are built on a foundation of data-driven decision making. Let’s explore how to use analytics effectively.
The Analytics Hierarchy
Level 1: Basic Metrics
Start with the fundamentals:
- DAU/MAU: Daily and monthly active users
- Retention rates: How many users come back
- Session duration: How long users stay
Level 2: Behavioral Insights
Go deeper with:
- Feature adoption: Which features are used most
- User flows: How users navigate your product
- Drop-off points: Where users leave
Level 3: Predictive Analytics
The most advanced teams use:
- Churn prediction: Identify at-risk users
- LTV modeling: Understand user value
- Cohort analysis: Track groups over time
Key Events to Track
Every product should track these essential events:
- Sign up completed - New user acquisition
- Core action performed - Your product’s “aha moment”
- Feature used - Engagement with specific features
- Subscription started - Revenue events
- Support contacted - User friction points
Building a Data Culture
Analytics are only useful if your team acts on them. Create a culture where:
- Decisions require data backing
- Experiments are celebrated, even failures
- Dashboards are accessible to everyone
- Insights are shared in regular reviews
Rigora Analytics in Action
Rigora’s analytics suite gives you complete visibility into user behavior:
- Real-time dashboards: See what’s happening now
- Custom funnels: Track any user journey
- Retention cohorts: Understand long-term engagement
- Event explorer: Drill into individual events
Combined with our feature flags and A/B testing, you have a complete toolkit for data-driven product development.
Start tracking what matters with Rigora today.