Store conversion dropped — should I change the screenshots?

If per-source conversion held, the cause is the traffic mix, not the page.

Can I use it without impressions data?

Yes. Without an impressions column only tap-through is skipped; page-to-install conversion and the per-source decomposition still compute.

If the mix effect dominates, is there nothing to do?

No — it means the page is not the fix, not that nothing is wrong. The next question is why the share of low-converting sources grew.

Does this establish cause?

It does not. It narrows where to look in observational data, and if ads, featuring, and seasonality all moved in the same window it cannot tell you which one did it.

Store conversion

ASO store conversion analysis

Separate store conversion changes into product-page efficiency and traffic-source mix.

Summary

Build the store funnel from a console CSV and split conversion change into traffic mix and per-source efficiency.

What it separates

Decompose changes in views per install into mix and within-source efficiency. This is observational arithmetic, not a causal test of page or advertising changes.

When store conversion drops, separate whether the product page got worse or the share of low-converting traffic sources grew.Needs: Date · Traffic source · Product page views · Installs4 required columns

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Next step

App store traffic

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