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Mobile app marketing: why launching on the App Store isn't enough

· 7 min read

Written by Grzegorz Świerad, founder of Subida AI.

One glowing app icon rising above a crowd of identical grey icons

Publishing your app on the App Store and Google Play is only the beginning. The market is so saturated today that organic growth without paid support practically doesn't exist. If you want organic traffic, you have to fuel it with paid traffic — but only the kind whose return you can measure down to the dollar.

The myth of the app that "grows by itself"

The mobile app market runs on two platforms: Google Play and the App Store. Both generate huge organic traffic, so it's easy to believe that all you need is a good product and users will find it on their own.

They won't. In every category you're competing with thousands of apps, and most of the ones you see at the top have an ad budget behind them. We've been through every stage of building and marketing apps — including growing Mentorist to more than 500,000 users — and the lesson was always the same: store visibility is a result of growth, not its source.

The $100 → $150 rule

Performance marketing means ads, mostly on Meta and Google, where you can measure return on investment precisely. It's not about pouring money down the drain; it's about investing with a calculator in hand.

Our rule is simple: if we put $100 into ads, we expect at least $150 back. If less comes back, we're losing money — even if installs are growing and the charts look great.

That's why app marketing doesn't start with ads. It starts with analytics. You need to set it up so you know exactly how much you earn on every dollar spent acquiring a user. That can be measured, and measured precisely.

Why not just ASO, SEO or influencers

App store optimization (ASO), SEO, sponsored articles, influencer marketing and social media all have their place. But they share one problem: it's very hard to measure exactly how much you put in and exactly how much you got out of it.

Performance marketing has three advantages over them:

  1. It's measurable. You know which ad and which campaign makes money.
  2. It's scalable. Once an ad and the whole funnel pay for themselves, you can scale them to thousands of users.
  3. It's fast. You test new ads, new messaging, new pages and new funnels in days, not months.

The web2app funnel: users pay before they install

This is the part many teams skip. The point isn't to run Facebook ads and send all the traffic straight to the App Store. Modern companies increasingly make the sale on a website, before the user ever reaches the app store.

Web2app funnel: ad, quiz, personalized plan, payment and only then the app

You can see it best in categories like EdTech, wellness and fitness. The flow looks like this:

  1. The user clicks an ad and lands on a quiz — usually a long one.
  2. After the quiz they get a personalized plan.
  3. Right away they see the offer and the option to pay.
  4. Only then do they install the app.

In other words: the user pays for the program before installing anything and before checking whether the app even works.

These campaigns dominate Facebook today for two reasons:

  • They deliver the highest return on investment. The quiz builds engagement and lets you tailor the offer to a specific person.
  • They solve the tracking problem. Apple's privacy changes made it very hard to tell, inside an app, whether the person who clicked an ad actually paid. Without that, you don't know which ads and campaigns are truly profitable. A web funnel largely restores that visibility.

What AI changes — and what it doesn't

With the rise of AI, a large part of this process can be automated. You can iterate very quickly: try different ad concepts and different paths to purchase. Whoever does this efficiently gets months of testing ahead of the competition.

There's a catch, though. AI agents can do a lot, but they work in general terms. If your product is specific, you need a specific approach: you have to know which tools to use, how, and in what order. Simply "asking AI for a campaign" won't cut it.

Don't guess. Check what works for others

The most expensive mistake we see is ego-driven marketing: guessing what might work, or basing campaigns solely on your own beliefs.

To advertise effectively on Facebook, sometimes you just have to ride a trend. That's why we built our own methodology and our own competitive analysis tools — to understand what actually works for others. The process is simple:

  1. analyze different markets,
  2. see which ads and funnels work for others,
  3. test those patterns on your own product.

With AI tools, this whole cycle takes surprisingly little time.

In short

  • Publishing on the App Store and Google Play won't guarantee growth — the market is too saturated.
  • Organic traffic has to be fueled by paid traffic, but only the kind whose return you can measure.
  • Analytics is the foundation: without it, you don't know whether you're making or losing money.
  • The web2app funnel (quiz → plan → payment → app) delivers the best results today and sidesteps the tracking issues that followed Apple's changes.
  • AI dramatically speeds up testing, but a specific product needs a specific approach.
  • Instead of guessing, analyze what works for others and test it on your own product.

Building an app and want your marketing to pay for itself? See how we work with mobile apps.

Don't want to wait for a post?

If you have a specific question about your campaigns, you'll get an answer faster on a call than from an article. Show us your numbers and we'll tell you what they mean. You talk directly with Grzegorz Świerad.

Book a free consultation