What causes raw user IDs and PII leaking into analytics events?

Event payloads include real emails, account ids, or device identifiers because properties are attached ad-hoc without a PII filter.

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 Raw User IDs and PII Leaking Into Analytics Events

Quick answer: Replace direct identifiers with a salted hashed analytics id, strip PII through an allow-list at the send boundary, and never put free-form user text into properties.

Putting a player's email or a raw device id into an event means your analytics warehouse now holds regulated personal data. Hashing the id and allow-listing properties keeps events pseudonymous.

How to fix it

1. Use a pseudonymous id

Send a hashed or randomly generated analytics id instead of the email or account id. The hash should use a server-held salt so it cannot be trivially reversed.

2. Allow-list properties at the boundary

Run every payload through a filter that only lets known-safe keys through and drops anything else. This stops a careless userEmail property from slipping into the pipeline.

3. Keep free text out

Never send chat messages, usernames, or display names as event properties. If you need to correlate, store the mapping in your own secured backend, not in analytics.

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.

Ship the fix, watch the signature disappear from the next build. That's how you know it's really gone.