Trace activity back to its actor
Campaign tasks, scripted activity, team testing, and expectations of future rewards can all lift headline metrics. The first task is to document how an action was produced and what it cost the participant.
Uniform sequences across many wallets may describe the task design more than the product. Varied paths connected to real workflows deserve closer attention.
Developers, node operators, integration partners, and end users leave different evidence. A single active-user figure collapses those roles.
Code changes, deployments, integration depth, and issue histories can be compared with on-chain events to locate the productive cohort.
Wait for the withdrawal
A campaign measures prompted participation. The period after it ends reveals more about voluntary return and operating need.
If that period is not observable yet, retention should remain an open diligence item rather than a confident projection.
Use anomalies to interview
A spike, concentrated wallet set, or repetitive path is a prompt for investigation, not an automatic verdict.
Ask the team for an explanation, then compare it with logs, repositories, and participant conversations. Strong traction survives that triangulation.