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Head here when you want to go beyond aggregates and get personal. Filter the whole page by things like geography, session count, net worth, or Web3 status to zero in on segments that match your goals.

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Quick Summary Up Top

Right at the start, you’ve got a set of metric cards covering unique users, wallets, Web3 penetration, average engagement, bounce rates, transaction stats, and net worth for attributed wallets. Userjourney Summary A fast reality check on your audience’s overall quality - like spotting if most of your transacted users are high-net-worth or low-engagement, so you can adjust targeting right away.

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Handy Charts for Patterns

You’ll see breakdowns like geography and source distributions (with first/last touch options), a donut for device types (Windows, Mac, iOS, Android, etc.), and a list of dApps your users touch across chains. Devicetypesplit Userjourney These make it easy to build smarter ad campaigns. For example, if 40% of your high-value users are on iOS from India via X referrals, you can run geo-targeted mobile ads on X to find look-alikes. Or use the dApp list to spot untapped ecosystems for partnerships.

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The Unified Users Table

A searchable list of every user, with columns for ID, geography, last session, session count, and net worth. Click any row to drill into their full Golden Record. Ujdetails 1 Segment users on the fly - filter for recent high-spenders (RFM-style: recency, frequency, monetary) and export for cross-selling via email or Discord. Or pull untapped ICPs (e.g., low-session but high-net-worth users) to test repositioning campaigns.

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Deep Dive: The Individual User Profile

This expands into five sections for the richest view possible.
  • General Details: Covers visits, time spent, referrers, device/browser/OS, wallet info, and net worth. Value: Pinpoint device and location for ad targeting - e.g., run Google ads for Windows users in specific cities where your ICP clusters.
  • User Identities: Pulls in attributed social stuff like name, email, X/Telegram/Discord handles. Value: Huge for look-alike audiences. If a high-LTV user follows certain X accounts or has a Farcaster profile, use that to seed X ads or build similar profiles on Meta for broader reach.
  • Activity Timeline: A chronological feed of everything - sessions, page interactions, events, and transactions (on your protocol plus other chains for attributed users). Value: Spot behavioral patterns for RFM targeting. Recent frequent transactors? Up-sell them. Infrequent but high-monetary? Cross-sell via personalized X DMs or ads.
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  • dApp Interactions (for fully attributed users): List of all dApps they’ve hit across supported chains, with interaction counts. Value: Identify ecosystem overlaps for untapped ICPs - e.g., target users who love competing protocols but haven’t tried yours yet, via Google or X ads keyed to those dApp behaviors.
Dappslist
  • Token Balances (for fully attributed users): Full holdings across chains, with native and USD values. Value: Filter for net worth brackets to run premium campaigns - e.g., X ads for users holding $10K+ in similar tokens, positioning your project as the next step up.
Tokenbalance User Profiles isn’t just data - it’s your shortcut to owning your audience.
  • Use the filters to slice into existing ICP for retention plays, untapped segments for expansion, or RFM cohorts for upsell/cross-sell.
  • Export lists directly into ad platforms like X, Meta, or Google for look-alike modeling, geo/device targeting, and behavior-based ads.
It’s how you turn insights into real campaigns that lower CAC, boost LTV, and build that compounding moat. Want to enrich these profiles even more? Check out Custom Events for automatic identity boosts via forms.