See what you can build
Browse examples and discover what's possible with Server Driven UI.
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Holiday Sale: Up to 30% off selected items!
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Discover our curated selection of premium tech gifts. Free shipping on orders over $50.
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AirPods Pro
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Apple Watch Series 9
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iPad Pro 12.9
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iMac 24
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Understand your users like never before
Real-time analytics that help you make data-driven decisions. Track user behavior, measure conversions, and optimize your product.
Everything you need to grow
Powerful features that help you understand, engage, and retain your users.
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Real-time Dashboard
Monitor your metrics as they happen. No more waiting for batch updates.
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Funnel Analysis
Identify drop-off points and optimize your conversion flow.
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Custom Reports
Build and share reports tailored to your team's needs.
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Try our new AI assistant
We've been working on an AI-powered assistant to help you analyze your data faster. It's still in beta, but we'd love your feedback.
"Show me the top 10 countries by revenue this month"
Here's a breakdown of your top 10 countries by revenue for November 2024...
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From the blog
Insights on product analytics, growth, and building better products.
How to reduce churn with cohort analysis
Learn how leading SaaS companies use cohort analysis to identify at-risk users before they leave.
The metrics that actually matter for growth
Stop tracking vanity metrics. Here are the numbers that successful teams obsess over.
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How to reduce churn with cohort analysis
Learn how leading SaaS companies use cohort analysis to identify at-risk users before they leave.
Cohort analysis is one of the most powerful tools for understanding user behavior over time. Instead of looking at all users as one group, you segment them based on when they signed up or performed a specific action.
Why cohort analysis matters
Traditional metrics like daily active users can be misleading. A growing user base might mask a retention problem. Cohort analysis reveals patterns that aggregate metrics hide, showing you exactly when and why users leave.
Getting started
Start by defining your cohorts. The most common approach is to group users by their signup week or month. Then track a key metric like "logged in" or "completed purchase" over time for each cohort.
Focus on the shape of your retention curve, not just the numbers. A curve that flattens after week 4 suggests strong product-market fit for users who make it past onboarding.