Buying installs is easy, and most of them are gone within a week. We build acquisition around the people who reach the moment your app becomes useful, then judge every channel on retention rather than download counts. Built for teams whose install numbers look healthier than their active users.
Most teams reach us after launch, when the same problems surface:
None of that means the app is the problem. It means growth was handled as a launch task when it needed to be a standing system.
Three changes you should see in your cohorts, not just the install chart.
Targeting built on the behaviour of users who stayed brings in more of the same, which quietly lowers what a retained user costs you.
Tested screenshots, icons, and copy raise the share of visitors who install, making every acquisition channel cheaper at the same bid.
Onboarding and lifecycle messaging turn a first session into a habit, which is where an app's economics are ultimately decided.
An install is not a customer. It is permission to try, and the majority of that permission expires within days. What determines whether an app grows is the chain running from install to activation to habit, and only the first link is something you can buy.
Which is why cost per install is such a misleading target. Optimise for it and networks will happily deliver volume from people who were never going to open the app twice. We optimise against retained cohorts and their value over time instead, which changes what gets bid on, what creative gets made, and often which channels survive the first month. The store listing usually turns out to be the cheapest lever nobody has pulled.
That's the promise: we listen for the result behind the request and grant it as you meant it. No incentivised installs, no lock-in contracts, no vanity download milestone standing in for a working business.
Six workstreams, run together — because paid traffic pointed at an untested listing burns money quietly.
Keyword research, metadata, category strategy, and ratings management are handled continuously for both stores rather than set once at launch. You receive a keyword map, optimised listings, and ranking reporting by term.
Apple Search Ads, Google App Campaigns, Meta, and TikTok are structured and bid against retained value, not raw installs. You receive a campaign build and cohort reporting showing what each source is genuinely worth.
Screenshots, preview videos, icons, and ad creative are produced in batches and tested on a fixed rhythm, because creative decides performance more than bidding does. You receive a creative library and a running test log.
We map where new users stall between first open and the moment your app proves useful, then fix the steps losing the most people. You receive an activation funnel analysis and prioritised product recommendations.
Push, in-app messages, and email are sequenced around real usage rather than a schedule, so re-engagement feels useful instead of nagging. You receive live lifecycle campaigns and retention curves by cohort.
Your measurement partner is configured properly, events defined consistently, and privacy-era limits accounted for honestly. You receive verified attribution and a dashboard reporting cohort value over time.
We work natively across the stores, networks, and measurement tools this discipline runs on.
Short, concrete answers — the ones we'd give you on a call.