What causes first-open and returning users counted the same?

Every launch emits a generic session_start with no signal for whether this is the player's very first run, so new and returning users blur together.

How do I catch this when it only happens for some players?

Capture it automatically from the player's device with the full stack trace, the device and OS, the build, and a breadcrumb trail of what they did. That turns a vague complaint into a specific, reproducible issue you can fix without owning the hardware it happens on.

How to Fix First-Open and Returning Users Counted the Same

Quick answer: Emit a one-time first_open event guarded by a persisted flag, distinguish reinstalls, and tag later launches as returning so acquisition and retention separate cleanly.

If you cannot tell a brand-new player from a returning one, you cannot measure acquisition or activation. A persisted first-launch flag plus reinstall handling cleanly splits the two populations.

How to fix it

1. Guard first_open with a flag

Set a persistent flag on the very first launch and emit first_open only when it is absent. Every subsequent launch is a returning session.

2. Detect reinstalls

A wiped flag after an uninstall legitimately produces a new first_open, but correlate with attribution to avoid treating an OS reinstall as fresh acquisition. Note reinstalls explicitly if you can.

3. Tag returning sessions

Stamp non-first launches with a is_returning flag and a launch_number so cohorts and activation funnels can filter cleanly. This is what lets retention exclude first-day noise.

Catching the ones you can't reproduce

The hardest version of this to fix is the one you can't reproduce — it only happens on a player's hardware, OS, driver, or save state, under conditions that simply aren't present on your machine. A report that says “it crashed” or “it froze” gives you nothing to act on, so the bug survives release after release while quietly costing you players.

Automatic error capture closes that gap. Each failure arrives with its full stack trace, the device and OS, the build number, and a breadcrumb trail of what the player did right before it broke, so even a failure you have never seen becomes a specific, reproducible issue. Fold identical failures into one signature ranked by how many players each hits, and your worklist sorts itself worst-first instead of arriving as a stream of vague complaints.

This is where a tool like Bugnet earns its place. Its SDK captures every error automatically with the full stack trace plus device, OS, memory, build, and game-state context, folds duplicates into one grouped issue with an occurrence count, and ties each to the build it first appeared on — so you fix the problem that hurts the most players first and confirm it is gone when its signature disappears from the next release.

The errors you never hear about are the ones quietly costing you players. Visibility turns them into a worklist.