What's an Acceptable ANR Rate on Android?

“What's an Acceptable ANR Rate on Android?” is a fair question, and the honest answer is less about a magic number than about a target you defend and a trend you watch. Stores flag high ANR rates, so keep it low; any repeatable main-thread block is worth fixing. What matters is whether the number is high, stable, and improving — and whether the individual failures behind it are getting fixed. This guide covers how to think about ANR rate and act on it: capture ANRs, find the blocking work, and move it off the main thread.

How to think about ANR rate

The useful way to think about ANR rate is as a target and a trend rather than an absolute. Stores flag high ANR rates, so keep it low; any repeatable main-thread block is worth fixing. A single number in isolation tells you little; the same number rising or falling across your builds tells you almost everything, because it reflects whether your releases are making the game more or less stable.

It is also worth remembering that an average can hide a serious problem. A healthy-looking overall ANR rate can still contain one signature hammering a slice of your players, which is why you pair the headline number with a ranked list of individual failures.

Why the report you get is never the whole story

When a player does take the time to tell you something broke, the message is almost always thin: “it crashed,” maybe a screenshot, rarely a version number, and almost never the exact steps. You are left reconstructing the scene of an accident from a single blurry photo. The information you actually need to fix the bug — the stack trace, the device, the build, the state the game was in — is precisely what a human report leaves out.

That is why working from manual reports alone keeps you slow. Every ticket becomes a back-and-forth interrogation, and half the time the player has moved on before you get an answer. Automatic capture removes the interrogation entirely, because the context travels with the failure the instant it happens.

The silent majority who never report anything

For every player who files a report, a large number simply hit the problem, sigh, and close the game. They do not owe you a bug report, and most will not write one. The failures that churn the most players are therefore the ones least likely to ever reach your inbox, which is a deeply unfair feedback loop: the worse the bug, the quieter it tends to be.

The only way out of that loop is to stop depending on goodwill. When every crash is recorded automatically, the silent majority become data. You finally see the failure that is quietly costing you installs, ranked by how often it actually happens rather than by who happened to be patient enough to complain.

Turning a pile of crashes into a ranked worklist

Raw crash data is overwhelming if every occurrence is its own line. The trick is grouping: identical failures, fingerprinted by their stack trace, collapse into one issue with a count. Suddenly the question “what should I fix first?” answers itself, because the bug hitting the most players sits at the top with the biggest number next to it.

That ordering is what makes a small team effective. You are never going to fix everything, but you do not have to. Fixing the top few signatures usually removes the large majority of real-world failures, and prioritising by frequency means your limited hours always go to the bug that matters most right now.

Setting and defending a target

To act on ANR rate, capture ANRs, find the blocking work, and move it off the main thread. Pick a target you are willing to defend, measure it per build, and treat a drop as a signal to investigate rather than a number to explain away. That turns ANR rate from a vanity figure into a release gate that actually protects your players.

Underneath it all is the same foundation: capture every failure with full context, group identical ones so you can rank by impact, and tie each to its build so you can see which release moved the number. With that, ANR rate stops being an abstract benchmark and becomes something you steer.

This is where a tool like Bugnet earns its place. Its SDK captures every failure automatically with the full stack trace plus device, OS, memory, build, and game-state context, folds identical failures into one grouped issue with an occurrence count, and ties each to the build it happened on. The result is that the abstract idea above stops being theory and becomes a ranked list you work down — the worst problem first, verified fixed when its signature disappears from the next release.

Most of the failures hurting your game are silent. The first job is making them visible; the fixes get a lot easier after that.