Mobile user acquisition
User acquisition is buying attention and converting it into installs at a price you can sustain. The hard part is knowing whether the price you see is the price you paid.
9 August 2026 · PAD team
The whole discipline in one paragraph
You buy impressions. Some fraction become taps. Some fraction of taps reach the store. Some fraction of store views become installs. Some fraction of installs become users who stay. Multiply it out and compare against what those users are worth. Everything else is detail.
The metrics, and what each is for
| Metric | Answers | Trap |
|---|---|---|
| CPM | how expensive the auction is | cheap CPM often means bad placement |
| CTR | whether the creative works | clickbait raises it and ruins everything downstream |
| CPI | the headline price of an install | usually computed on clicks that may not have arrived |
| Click to install rate | whether the path works | the one that catches delivery failure |
| Day 7 retention | whether you bought real users | slow to read, the only one that matters long term |
| LTV | what you can afford to pay | always an estimate, treat it as a range |
Click to install rate is the underused one. It is the only metric in the list that goes wrong for mechanical reasons rather than judgement reasons, which makes it the fastest diagnostic you have.
Where acquisition silently leaks
Between the tap and the store there is a step most models omit. Social apps open links in their own browser rather than Safari, and Apple answers store URLs with a redirect into a custom scheme that browser cannot follow.
GET https://apps.apple.com/app/id123456789
→ 301 Location: itms-appss://apps.apple.com/app/id123456789
in Safari: App Store opens
in a WebView: nothing happens, no error
On 21,000 taps routed between 3 and 9 August 2026, 19,381 came from inside social apps, 95.6% of them iOS. That is the population exposed to this. Nothing about it appears in an ads manager, because from the platform's side the click completed.
Building a UA loop that tells the truth
- One destination per source, so you can compare arrival rates rather than guess.
- Click to install rate reviewed weekly, per source, before anything is scaled.
- Creative tested in batches, since a single test against a single control reads as noise at small volumes.
- A hard rule that nothing scales until its measurement has been sane for two weeks.
How much volume you need before believing anything
Several hundred installs per variant before a cost per install figure means much, and two weeks before retention says anything. Below that you are reading noise and calling it a result. This is the most common way small teams waste budget: not spending it badly, but concluding too early.
Where to start if you are new to this
One channel, one country, one clear audience, and a destination you have tested on a real phone from inside the app you are advertising in. That last clause sounds trivial and is where a large share of wasted spend actually goes.
Arrival rate is the first thing to verify and the easiest to fix.