Comparison · App channels
Google App Campaigns vs Meta
Not really a competition. They do different jobs – one harvests intent, the other creates it – and most subscription apps at any scale need both. What is worth deciding is which to start with and how to read them.
The fundamental difference
Google App Campaigns reaches people already looking. Play Store search, Search results, YouTube – inventory where someone has expressed something. That intent is why UAC traffic often converts to trial at a better rate for a comparable install cost.
Meta reaches people who were not looking. It is demand creation, judged on whether creative can interrupt someone doing something else. When it works it scales further than search inventory ever will, because the audience is not capped by how many people typed something.
| Google App Campaigns | Meta | |
|---|---|---|
| Demand | Harvests existing intent | Creates demand |
| Manual control | Budget, bid target, geo, assets – nothing else | Audiences, placements, formats, exclusions |
| Ceiling | Capped by search volume in your category | Much higher, creative-limited |
| Creative need | Variety for the system to combine | Concepts strong enough to stop a scroll |
| Diagnosability | Poor – little visibility when it drifts | Better – you can see where it broke |
| Learning phase | Restarts on most edits | Restarts on significant edits |
Where each one wins
App Campaigns wins when your category has real search volume, when your budget is modest enough that intent efficiency matters more than reach, and when you do not have a creative production pipeline. It needs asset variety, but it does not need a new concept every fortnight.
Meta wins when you have creative capacity, when the category is new enough that nobody searches for it, and when you have hit the ceiling of available search demand and need volume that intent cannot supply.
The failure modes are different, and that matters
A Meta campaign fails visibly. Frequency climbs, cost per result rises, you can see which creative died and when. It is unpleasant and it is legible.
App Campaigns fails quietly. The asset pool goes stale, the system has less to work with, performance drifts down over weeks, and no report tells you that assets are the cause. Teams frequently conclude the channel stopped working when what stopped was creative supply.
What we do in practice
Run both, keep them structurally separate, and judge each on cohort payback rather than on install cost. Reallocate monthly based on which cohort actually repaid, which is a slower loop than most teams run and a much more reliable one.
And separate iOS from Android on both, because the measurement realities differ so much that a blended view describes neither accurately.
Questions people actually ask
- Which should I start with?
- Google App Campaigns, if the app solves a problem people search for. Play Store search intent is the closest thing to demand capture in mobile, and it is usually the cheapest quality volume available. Start with Meta when the app is a new category people would not know to look for.
- What split between them?
- There is no correct ratio. Start roughly even, let cohort payback decide, and re-check monthly – the answer moves with creative supply, season and how saturated each channel is for you.
- Which is harder to run badly?
- Meta, slightly, because you can see and fix more. App Campaigns hides the failure: the asset pool is weak, performance drifts, and there is no report that says so. It takes longer to notice something is wrong.
- How do they differ on iOS?
- Both run through SKAdNetwork with the same constraints, but Meta felt the loss of granular targeting harder because targeting precision was its edge. App Campaigns leaned on Google's own signals. In practice both need consolidated campaigns and longer decision windows on iOS.
- Can the same creative run on both?
- The assets can be shared; the strategy cannot. App Campaigns needs variety for the system to assemble from, Meta needs concepts that stop a scroll. Reusing one library across both without adaptation underperforms in both places.
Compare them properly on your own data.
The payback calculator turns each channel's install cost into the month its cohort repays acquisition, which is the only fair way to rank them.