Executive Summary

Many Web3 teams—exchanges, wallets, and DeFi protocols—struggle to measure and reduce user churn because there’s no standardized way to compute retention across wallets, dapps, and chains, so product teams can’t prioritize fixes or optimize token and product economics. This gap forces continued reliance on expensive acquisition tactics and gives little insight into true long-term user value. You could build a SaaS retention analytics platform that ingests onchain and off-chain events to deliver cohort-based retention, churn, LTV and funnel metrics at wallet and cross-chain granularity, plus dashboards, alerts, and experiment-ready signals or SDKs. Pre-built connectors to indexers/The Graph/RPCs, wallet identity stitching, and standardized event schemas would let teams ship useful insights in weeks instead of months. The addressable market is attractive now—roughly $3.0B (30,000 organizations × $100K ACV)—as teams shift from token-distribution growth to product-led retention and onchain infrastructure makes ingestion cheaper. This can stand out by laser-focusing on retention use cases (not general analytics), productizing cross-chain cohorting and wallet-native retention primitives, and cutting engineering lift with curated connectors and schemas. Expect challenges around identity resolution, sparse signals, and competition from broader analytics vendors, but if you deliver higher-quality, actionable retention signals you can justify enterprise pricing and capture meaningful share.

Market Opportunity

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..

Key competitors include Nansen, Dune Analytics, Glassnode.

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Measure and reduce user churn in Web3 with retention metrics

Executive Summary

Market Validation

Market Opportunity

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