An install is not a customer. It’s not even close. For an app-based business, whether that’s a gaming app, a fintech app, or a D2C brand’s own app, the click on an ad is only the first of at least four moves a user has to make before they generate any real value: install, register, transact, and then, ideally, come back and transact again. And that’s the simplified version. For some app businesses we’ve worked with, the real path to monetization runs through as many as 25 distinct touchpoints inside the app, onboarding screens, permission prompts, tutorial steps, KYC forms, first-use prompts, before a user ever generates revenue. Every one of those touchpoints is a place a user can drop off, and most of the businesses we’ve worked with under-measure this journey, because ad platforms are very good at reporting installs and much quieter about everything that happens after, including the two dozen or so steps still standing between an install and an actual paying, active user. This is how we structure performance marketing for app-based businesses, and where most of the budget actually needs to go.
What does the app funnel actually look like?
The chain runs: Ad → Download & Install → Registration → In-app Transaction → Repeat Transaction. Each step has its own drop-off, and each drop-off tells you something different. A weak install-to-registration rate usually points to onboarding friction inside the app itself, not the ad. A weak registration-to-transaction rate points to a mismatch between what the ad promised and what the app actually delivers on first use. Treating “installs” as the finish line, which is how a lot of app marketing gets reported, means you’re optimizing for the cheapest possible entry into a funnel without any visibility into whether anyone coming through it ever does anything valuable.
We saw this funnel in detail with a gaming app with several million registered users. Their revenue model runs entirely on a platform fee per game played, which means installs and even registrations were functionally worthless numbers on their own. The only figures that mattered were deposits and repeat game plays, and that reframing changed how every campaign on the account was built and measured.
Why can’t you run app performance marketing on ad-platform data alone?
Because ad platforms only see as far as the click and, at best, the install. Everything after that, registration, first deposit, repeat usage, happens inside the app, and an ad platform has no native way to connect that back to the specific ad, audience, or creative that drove it. This is where a Mobile Measurement Partner (an MMP like AppsFlyer, Branch, Adjust, Apptrove, or Singular) becomes essential rather than optional. It sits between your app and every ad platform you’re spending on, attributing in-app events like registrations and transactions back to the original campaign, so you can see which audiences and creatives are actually producing paying, returning users, not just installs.
Skip this layer, and you end up in a common trap: optimizing campaigns toward the audiences that install cheaply, which are rarely the same audiences that go on to deposit, transact, or stick around.
Is Cost Per Install the right number to optimize for?
On its own, no. Cost Per Install (CPI) tells you how efficiently you’re buying attention, but says nothing about quality. We treat CPI the way we’d treat Cost per Lead in a lead-generation funnel: a useful top-of-funnel signal, never the metric a campaign gets judged on. The metrics that actually matter sit further down:
– Cost per Registration: installs that convert into an actual account.
– Installs-to-Registration rate: how much of your install volume is even functional.
– Registrations-to-Transaction rate: the number that tells you whether the audience you’re acquiring has any intent to spend.
– Transaction Value divided by Amount Spent: your actual return on ad spend, calculated against real revenue, not proxy events.
– Customer Lifetime Value (CLV): because for most app businesses, the first transaction rarely pays back the acquisition cost on its own. The real return shows up over months of repeat usage.
For the gaming app, this meant walking the client away from celebrating a low CPI and toward a conversation about cost per depositing user and the lifetime value of a player who plays regularly, which is a fundamentally different optimization target for the ad platforms to chase.
How is ASO different from performance marketing, and why do you need both?
App Store Optimization (ASO), your app’s title, keywords, screenshots, and ratings inside the App Store or Play Store, works on organic discovery. Performance marketing works on paid discovery. They compound each other: a paid campaign that drives a spike in installs and positive engagement often improves organic store ranking, and a well-optimized store listing improves the conversion rate of every paid click that lands on it, since a meaningful share of users still check ratings and screenshots before completing an install. Running paid acquisition into a poorly optimized store listing is one of the most common ways app businesses quietly inflate their own CPI without realizing the leak is happening on the store page, not in the ad account.
Does performance marketing stop once someone becomes a user?
No, and this is where app-based businesses differ most sharply from e-commerce or lead-gen. Acquisition gets someone to install and register. Retention, getting them to keep coming back, transact again, and refer others, runs on a different set of tools layered on top of the same funnel: push notifications, in-app messaging, and remarketing campaigns aimed specifically at lapsed or inactive users rather than new prospects.
For the gaming app, this meant running two parallel tracks: acquisition campaigns targeting new audiences to drive fresh installs and registrations, and remarketing plus push notification flows aimed at registered users who hadn’t played or deposited recently. Both tracks pull from the same budget conversation, and a business that pours everything into acquisition while ignoring the reactivation of its existing user base is paying repeatedly to refill a bucket with a hole in it.
What’s the most common way app campaigns quietly fail?
Chasing installs as a vanity metric. It’s the single easiest number for an app business to report internally, since it needs no MMP integration and no connection to revenue, which is exactly why it gets over-indexed on. An app account can hit every install target on the media plan and still be losing money, if the users being acquired never register, never deposit, or churn out after a single session. Getting this right connects back to the same principle we walk every client through in the 6A Framework: the Audience and Analytics steps have to be built around the event that actually matters to the business, not the event that’s easiest to track.
App performance marketing is won on events that happen well after the install: registration, first transaction, and repeat usage. Getting an MMP in place, agreeing on which downstream event actually represents value, and building both acquisition and retention into the same media plan is what separates an app business that’s genuinely growing from one that’s just buying installs and hoping the rest follows on its own. It rarely does, as it doesn’t for lead-generation businesses either, which run into the same trap of optimizing for the closest, cheapest metric instead of the one that actually matters.
Building or scaling an app and want a clearer read on what’s happening between install and revenue? Get in touch and we’ll walk through your funnel with you.