Measure and reduce user churn in Web3 with retention metrics

Measure and reduce user churn in Web3 with retention metrics targets a $3.0B = 30,000 organizations × $100K ACV (all crypto/Web3 teams, exchanges, wallets and DeFi protocols globally spending on analytics and product telemetry) total addressable market with medium saturation and a year-over-year growth rate of 20%+ YoY — crypto services and Web3 tooling demand is growing as onchain activity and developer ecosystems expand (sources: industry reports from Chainalysis, CoinDesk and market signals).

Key trends driving demand: Trend — Web3 teams are shifting from acquisition-oriented growth to product-led retention as token distribution models normalize, creating demand for retention analytics.; Trend — Onchain data infrastructure (indexers, The Graph, RPC services) is commoditizing access to transaction-level events, reducing engineering cost to ingest signals.; Trend — Cross-chain and wallet aggregation has increased, which makes multi-protocol cohorting valuable for understanding user stickiness across ecosystems.; Trend — Institutional and enterprise crypto products require analytics and compliance signals, creating a higher-ACV segment that will pay for enterprise features..