A good ASO dashboard connects visibility, conversion, quality, and business outcomes using clear metric definitions, consistent segments, and annotations for changes. Keep it short enough to review weekly and detailed enough to diagnose problems.
Decide the questions first
List the decisions the dashboard must support: what to optimize next, whether a change worked, and where quality is slipping. Build views for these rather than collecting every metric.
Separate an executive summary from an analyst view.
Combine the right sources
Use App Store Connect and Play Console for impressions, page views, and conversion; a rank tracker for keyword positions; and product analytics for activation, retention, and revenue. Join them by date, country, and source where possible.
Document definitions so numbers match across tools.
Segment and annotate
Break results down by country, platform, source type, and app version. Add annotations for releases, experiments, campaigns, and external events so movements can be interpreted.
Track brand and generic traffic separately.
Set a review cadence
Review weekly for operations and monthly for strategy. Include alerts for sudden drops in conversion, rating, or visibility.
Archive snapshots for before-and-after comparisons.
Common mistakes with ASO dashboard
Putting every available metric on one page makes none of them useful. Mixing definitions across tools produces numbers that never match. Another mistake is omitting annotations, so a drop cannot be explained.
Reporting brand and generic traffic together hides discovery problems.
ASO dashboard: a worked example
A small team builds a weekly view with impressions, page views, first-time downloads, and conversion by country, plus rating and crash-free rate from product analytics. A separate tab tracks priority keywords.
Each experiment and release has a row on an annotation tab, which lets them explain changes in review.
How to do it, step by step
- List the decisionsWrite the questions the dashboard must answer.
- Connect sourcesCombine store console, rank tracker, and product analytics.
- Define each metricDocument formulas and sources.
- Add annotationsLog releases, experiments, and campaigns.
- Set a cadenceReview weekly and monthly.
Before and after examples
Illustrative examples written for a generic app in this category, not client results. Swap in your own product, audience, and data.
Thirty charts
Impressions, page views, first-time downloads, conversion, rating, crash-free rate
Why it works: Few metrics, reviewed often.
Global averages
Conversion by country and source
Why it works: Segments reveal problems.
None
Rows for each release and test
Why it works: They explain movements.
Action plan
- List decisions first
- Join store, rank, and product data
- Document metric definitions
- Segment by country and source
- Annotate changes
- Review weekly and monthly
Metrics to monitor
- Dashboard freshness
- Number of annotated changes
- Alert response time
- Decisions traced to dashboard insights
Record the baseline, release date, audience, markets, and external changes before interpreting movement. Rankings and conversion are useful signals, but a decision is stronger when activation, retention, and business value confirm that the page attracted the right users.
Frequently asked questions
Which tools should I use?
Use store consoles plus a spreadsheet or BI tool, adding a rank tracker if needed.
How many metrics?
Few enough to review quickly, with drill-downs for detail.
Why annotate?
Without annotations, you cannot interpret changes.
Keep reading
More in Measurement
Browse all 9 Measurement guides
