Assume two wallets participate in the same airdrop. Both complete the tasks and receive their rewards. But their subsequent actions differ significantly. Wallet A sells all its tokens shortly after claiming them. Wallet B continues using the protocol and participates in future activities. At the moment of claiming the reward, the two wallets appear nearly identical. But over time, their behavioral trajectories diverge. This is one of the key insights worth observing in @zerufinance’s zScore. Reward History and post-airdrop selling behavior can serve as valuable signals for behavioral analysis, helping to understand user actions after claiming rewards. Of course, selling tokens does not necessarily mean a user is low-quality—individual financial needs and risk tolerances vary. What truly matters is how much useful insight these behaviors provide within the broader context. Sometimes, distributing rewards is just the beginning. What happens afterward is equally worth studying.