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Web3 Cohort Analysis: How to Analyze 4 Key Crypto User Groups (New, Retained, Dormant and Resurrected)
How-ToMachine Learning

Web3 Cohort Analysis: How to Analyze 4 Key Crypto User Groups (New, Retained, Dormant and Resurrected)

via Dev.to BeginnersYos Riady2h ago

For Web3 projects, user acquisition costs are high and retention is low. Too many teams are lost in the dark, unable to answer basic questions like "Where do my users come from?" or "Why do they leave?" To build a product that lasts, you need to understand your users. This is where product analytics and Web3 cohort analysis come in. This post will show you how to analyze key user groups - new, retained, dormant, and resurrected - using Web3 cohort analysis. With a tool like Formo, you can turn these insights into growth. Understanding User Groups with Web3 Cohort Analysis You can't treat all users the same. By segmenting them into groups, you can understand their unique behaviors and needs. New Users New users are interacting with your dApp for the first time. It's critical to track their first actions and onboarding completion rate. What to analyze: Which acquisition channels bring in the most valuable new users? Use onchain attribution to see which campaigns drive the most onchain ac

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