Reading day-7 retention without panic
Day-7 retention is often treated like a verdict. For many consumer apps in Thailand and nearby markets, it is closer to a weather report: useful, incomplete, and heavily shaped by how people discovered you that week.
Start by separating paid installs from organic ones. A channel that looks expensive on cost-per-install can still win if those users open the app again after a week. Conversely, a cheap source that never returns will quietly drain your store ranking efforts.
Next, look at the first meaningful action, not only the open. If users browse but never save, share, or complete a core loop, day-7 numbers alone will not tell you what to change. Write down the action you believe predicts habit, then check whether your analytics actually capture it.
Finally, give yourself a sample window. Fewer than a few hundred installs in a cohort makes day-7 noisy. Wait for enough volume, annotate store listing changes, and compare like with like. Panic is optional; a short written note for the team is not.