Wallet enrichment
Top enriched wallets
Your richest wallets by portfolio value, volume, and NFT breadth.Engagement
Most active wallets
On-chain activity joined to contact records, over the last 90 days.This query returns one row per wallet per chain, because
wallet_activity_summary is chain-scoped. Add AND was.chain = 'base-mainnet' to pin it to a single chain, or aggregate if you want one row per wallet.If wallets seem to be missing, wrap both sides of the joins in lower(), casing isn’t normalized on contacts.Volume scoring
High-value volume scoring
Rank wallets by 90-day volume, estimated LTV, and recent activity for targeting.Retention
These three run againstcontact_360, which already joins identity, on-chain metrics, activity, and email engagement.
Churn-risk whales
High-value contacts going quiet on-chain but still email-reachable, prime win-back targets.Engaged readers, inactive on-chain
They open your emails but have stopped transacting. Good candidates for an incentive.Healthy VIPs
Your best customers right now, high LTV, active on-chain, engaging with email. Reward and retain.Adapting them
1
Pick the closest starting point
Match on the question shape, not the exact columns; columns are easy to swap.
2
Tighten the filters
Adjust the thresholds (
portfolio_value_usd, days_since_last_activity) to your audience. The defaults are deliberately broad.3
Validate a few rows
Spot-check wallets you recognize before trusting the whole result.
4
Save as a report or segment
Segments need a wallet column in the output. Every retention query above already has one.
churn_risk is derived from activity recency: low within 30 days, medium at 30–60 days, high beyond 60, plus unknown for wallets with no recorded activity and suppressed for suppressed contacts.
