Glossary: Wallet Segmentation

What is Wallet Segmentation?

Wallet segmentation groups blockchain addresses or wallet clusters by shared properties or behavior for analysis, personalization, research, or targeting. Criteria can include net worth, token holdings, protocols used, active chains, transaction history, product events, acquisition source, lifecycle, revenue, frequency, recency, and labels.

How wallet segmentation works

Choose a business question, select an address or cluster as the unit, define readable filter rules, and evaluate them against a known data timestamp. Segments may be dynamic, updating as wallets change, or frozen for a specific analysis. Combine onchain traits with first-party product behavior only when the source and purpose are clear.

Wallet segmentation example

A team creates a segment of returning wallets that were active in the last 30 days, used a lending protocol, and generated product revenue. It compares their retention and feature adoption with newly acquired wallets, then exports the segment for a relevant research or re-engagement workflow.

Common mistakes

Do not create segments without a decision they support. Avoid opaque scores when clear filters will work, and do not treat stale balances or labels as current. Keep net worth, realized product value, and transaction volume distinct. Document whether the segment uses addresses, clusters, or verified users.

Using Wallet Segmentation in practice

Use wallet segmentation to study cohorts, compare product behavior, find high-value or at-risk audiences, personalize experiences, and export actionable groups. Review segment size, overlap, data freshness, and performance over time so rules remain useful rather than becoming permanent labels without evidence.

Related reading

Explore Wallet Labels, Segmentation, Wallet Profiles, High-Value Wallet, and the onchain segmentation guide.

Crypto and DeFi example

A lending app might segment eligible wallets by supported chain, prior deposit activity, collateral type, and recency. It can then compare activation and repeat deposits across groups, while documenting whether linked addresses are treated as one wallet and excluding unsupported or contract addresses where appropriate.

FAQs

Which filters are common in wallet segmentation?

Common filters include net worth, holdings, protocols, chains, transaction history, labels, lifecycle, product events, revenue, recency, and frequency.

How is wallet segmentation different from cohort analysis?

Segmentation groups addresses by current or changing rules, such as holdings or activity. Cohort analysis groups a defined population by a shared starting event or period and follows its outcomes over time. State the identity unit and membership rules.

Can wallet segments be exported?

Yes, when the product and data policies allow it; exports should retain the address or cluster unit, evaluation time, and relevant rule definitions.