@bellelaw

Multi-stage airdrops (early/mid/late) require adaptive effort allocation. Early stages often offer the highest rewards per unit cost, as participant numbers are lower. Later stages may dilute payouts but still reward consistency. An optimal plan is to allocate significant resources early, reduce exposure during mid-phases, and selectively re-engage late if conditions improve. Tracking rules is crucial—later stages may target different user groups. Dynamic commitment ensures participants capture outsized early rewards while avoiding inefficient overcommitment during less favorable distribution phases. Timing flexibility is key to efficiency.

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