@dfsgherjuhregh
Use on-chain data to build user profiles: geographic distribution (via IP-linked addresses, e.g., high activity in Southeast Asia) , fund size (small addresses: <1 ETH; institutional: >1k ETH), and usage patterns (frequent swaps = traders; long-term staking = holders). These insights guide project design: if 60% are small traders, prioritize low gas fees; if many are institutional, add custody integrations. For tokenomics, holders may prefer staking rewards, while traders value liquidity incentives. Regularly update portraits (quarterly) to align with evolving user behavior.
0 reply
0 recast
0 reaction