Glossary
Glossary: Wallet Segmentation
Wallet segmentation groups addresses or wallet clusters using product behavior, lifecycle, net worth, holdings, protocols, chains, labels, and transaction history for analysis or action.
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 profiles, Segmentation, Wallet Profiles, High-Value Wallet, and the onchain segmentation guide.
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.
Is wallet segmentation the same as a wallet cohort?
No. A segment usually reflects current rule matches, while a cohort preserves membership from a shared entry event for analysis over time.
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.
Related Terms
A/B Testing
An experiment that compares two versions of a page, feature, or campaign to see which performs better.
Account Abstraction
Account abstraction is an approach that turns blockchain accounts into programmable smart contract wallets, enabling features like gasless transactions, social recovery, session keys, and paying fees in any token.
Activation Rate
Activation rate is the percentage of new users or wallets that complete a key activation milestone, such as a first transaction, out of all users who signed up or connected within a given period.
Active Users
Active users are distinct users, accounts, visitors, wallets, or wallet clusters that complete a defined meaningful action during a specified period; the chosen identity unit and activity rule determine the result.
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