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THE ASO PROFESSIONAL FIELD GUIDE / App store conversion benchmarks

BELOW AVERAGE.
ABOVE SPECULATION.

Use app store conversion benchmarks as context for investigation, with comparable definitions and audiences—not as universal performance targets.

GET INTO THE DETAIL ↓
Gabriel Machuret examining app performance and research at work
GABRIEL MACHURET / ASO IN PRACTICE

MAKE THE THINKING VISIBLE

A distribution is context, not a target.

Lower quartile
20%
Median
35%
Upper quartile
50%
Example app
30%

Invented rates for a fictional comparison group. Bars use a 0–100% scale. No actual store benchmark is represented; the example app’s position does not diagnose its performance.

01

Ask what the comparison includes.

Before reacting to a benchmark, identify the metric, cohort, period and source. An average across a broad app category can hide meaningful differences in audience intent, product maturity and acquisition channels.

A benchmark is useful when it helps choose a question. It becomes misleading when the peer definition disappears and a single percentage is presented as the standard every app must achieve.

02

Check the rate definition first.

Make sure your number and the reference use compatible events and denominators. A click-based measure and a completed-acquisition measure answer different questions. A reporting transition can invalidate comparisons with older exports.

Review conversion rate definitions before comparing. Google’s current performance guide describes peer comparisons for listing click-through rate; keep the reference report’s scope attached.

03

Use a distribution rather than a magic target.

A median describes the middle of a distribution; it does not state what your product should achieve next month. A range can show variation, but it still needs context about who is included.

The fictional chart demonstrates how a value can sit within a spread without proving that the listing is healthy or broken. Its values are teaching examples, not published industry benchmarks or promised outcomes.

04

Compare your own segments carefully.

Look for changes within equivalent audiences over time as well as external references. A weak-looking aggregate can reflect a new mix of visitors rather than declining effectiveness among established users.

Use source segmentation and the conversion diagnosis guide. Investigate whether an apparent gap comes from traffic, product fit, presentation or measurement before choosing a fix.

05

Turn the gap into a testable question.

If the evidence points to a specific misunderstanding, write a creative hypothesis and define how to evaluate it. If the comparison is too broad, collect better context instead of rushing a redesign.

Document the benchmark source, limitations and next action in the report. Avoid converting a peer percentile into a guaranteed uplift or a performance promise.

CLEAR UP THE DETAILS

Common questions.

What is a good conversion rate?

There is no useful universal answer without the metric definition and audience context.

Should I target the peer median?

Use it as context, not an automatic objective. Product and acquisition differences may explain a gap.

Are the chart values industry data?

No. They are explicitly fictional values used to explain a distribution.

FOLLOW THE NEXT QUESTION

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