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Attribution-Driven KOL Screening: Cookie3 & Social Analytics

How to use Cookie3 onchain attribution and AI-powered KOL scoring to evaluate crypto influencers by wallet conversions, not vanity metrics.

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Published by TOSScoin Research

Attribution-Driven KOL Screening: Cookie3 & Social Analytics

Cookie3 combines onchain + offchain segmentation filters in one explorer

  • Source: https://docs.cookie3.com/cookie3-analytics/features/onchain-explorer/filters
  • Finding: filter stack spans token holdings, buy/sell activity, smart-contract interactions, net worth, transaction recency, plus offchain website/source/UTM/location/browser dimensions.
  • Why it matters: this enables campaign targeting by wallet behavior + acquisition source instead of generic follower segments.

Cookie3 attribution logic for onchain conversions is wallet-link + last non-direct click

Cookie3 exposes "Attributed USD Value" for specific DEX actions

AI-based KOL scoring dimensions are explicitly documented

LunarCrush API pages currently return "limited data mode" without subscription

Recommended approach

  1. Score potential KOLs on credibility + content + reach before outreach.
  2. Require wallet-connect conversion evidence for campaign payout tiers.
  3. Use attributed USD value to benchmark creator cohorts by economic impact, not hype alone.
  4. Treat LunarCrush as secondary data source unless subscription access is provisioned.

Sources