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Mobile Apps

Performance Marketing
For Mobile Apps.

App install campaigns are signal-driven before they're creative-driven. A clean conversion feed and a tested target CPA matter more than a new ad. One campaign went from a ₹20 target to a ₹4.89 delivered cost per install this way.

Let's Talk See the numbers ↓

Why app campaigns fail differently

Google's app campaigns hand almost all of the targeting decision to automated bidding, working off whatever conversion signal the app sends back. That makes two things true that don't apply the same way to other campaign types: a target CPA is a ceiling, not a forecast — the algorithm will spend up to whatever number it's given — and a noisy or incomplete install-conversion feed caps efficiency permanently, no matter how good the creative is.

Most accounts inherit a target CPA that was never actually tested. It sits in the account as a default, not a decision, and testing it downward is often free.

How this applies

The numbers, from a real account

Figures below come from the client's own Google Ads reporting.

How I approach an app account

01
Verify the feed first

App campaigns are entirely signal-driven — a noisy install feed caps efficiency permanently, whatever else changes above it.

02
Test the inherited target

A target CPA already in the account is an assumption, not a constraint. Testing it downward cost nothing and returned most of the result in one case.

03
Concentrate location targeting

Geographies that actually convert to installs get the budget; the rest doesn't.

04
Confirm efficiency holds

A single good week doesn't mean a level the account can run at. Multiple consecutive months at a similar cost per install is what proves it.

Related

App install costs stuck at an inherited target?

Tell me what's running and what the conversion feed looks like. I read every message myself and reply within 24 hours.

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