Best AI user acquisition strategies for consumer apps

HostIt feels like every time I open my phone lately, I see an ad for an app that's so specific to my life it's almost spooky. A few years ago, I would just see the same big games or shopping apps as everyone else, but now it's like the ads know I have been looking for a better way to track my runs or a new tool to plan my garden. I want to know what's happening under the hood that makes this feel so different. How's the way we find and download apps actually changing right now?

GuestWell, the biggest shift is that the people who build these apps have kind of stopped trying to guess who you are. In the old days, a marketer would sit down and say, okay, I want to show this ad to women between thirty and forty who live in cities and like hiking. They would pick those boxes and hope for the best. But today, they just give all their data to a big AI system, like the ones Meta or Google use, and they let the machine do the picking. They basically say to the AI, here is my app, here is some money, go find the people who will actually use it. The machine looks at millions of data points we can’t even see and finds patterns. Maybe it notices that people who buy a certain type of organic coffee and also use a specific weather app are the most likely to love a new gardening tool. It's not about those broad boxes anymore. It's about these tiny, weird connections the AI spots.

HostThat sounds like it takes all the work out of it for the app makers. If the machine is doing the picking, what are the humans even doing?

GuestIt's funny, because it actually makes their job harder in a different way. Since you can’t win by being better at picking boxes, you have to win by being better at making the ads themselves. We call this creative-led growth. Since the AI is doing the targeting, the ad itself becomes the targeting tool. If you make a video that's all about how to save money on seeds, the AI will show it to a few people, see who clicks, and then instantly find ten thousand more people just like them. So now, instead of making one big, perfect TV-style ad, these companies are using AI to churn out hundreds of different versions of the same ad. They might change the background color, the person speaking, or the first three seconds of the video to see which one grabs people.

HostWait, that feels a bit like we're being flooded with junk. If a company is making a hundred versions of an ad, they aren't all going to be good. Does this actually work, or are we just seeing a lot of digital clutter?

GuestSome of it's definitely junk, and you can usually tell when an ad feels a bit off or fake. But the smart companies are using AI as a partner, not just a robot. They use it to see which hook works best. For example, they might find that a video of a person just talking to their camera like a friend works way better than a fancy, shiny ad. Once the AI sees that the casual look is winning, it tells the team to make more of that. It's a constant loop. The AI learns what we like faster than any human could. But there's a limit. If the ad looks too much like a robot made it, people just scroll past. There's still this need for a human touch to make it feel real.

HostSo it's about finding the right person and showing them the right video. But getting someone to download an app is only half the battle, right? I have downloaded plenty of things I never opened again. How does AI help them find the people who will actually stay?

GuestThat's where the really deep math comes in. It's called predictive value. The AI looks at how you behave in the first few minutes after you download an app. Do you skip the intro? Do you click on the settings? Do you set a goal? Based on those tiny actions, the AI can predict with huge accuracy if you're going to be a long-term user or if you're going to delete the app tomorrow. If the AI sees that it's bringing in a lot of people who delete the app right away, it learns to stop showing the ad to people like them. It shifts the budget in real time to find the whales, the people who will really value the app. It's looking for quality, not just a high number of downloads.

HostBut that feels like it could go wrong pretty fast. If the machine is only looking for people who spend money or stay forever, doesn't it just ignore everyone else? It feels like it could get very narrow, very quickly.

GuestYou're hitting on a big tension in the industry. If you let the AI get too narrow, you stop growing because you're only talking to the same small group of people. That's why the best strategy right now is to give the machine a bit of room to explore. App makers will tell the AI to spend a small part of the budget on people who don't fit the usual mold, just to see if a new group might surprise them. It's a bit like a scout going out into new territory. Sometimes they find a whole new group of fans that the humans never would've thought of.

HostIt still feels like a lot of power to give to a black box. I mean, we're basically saying the machines are now the gatekeepers of what we see on our screens.

GuestThey're, but they're gatekeepers that are obsessed with what you want. The old way of ads was annoying because it was noisy and didn't fit. The new way is a bit scary because it fits so well. The real challenge for apps today isn't just getting the AI to find you. It's making sure that once the machine brings you through the door, there's something actually worth staying for. No amount of smart AI can save a boring app.

HostThe machines might be doing the matching, but they can't force us to actually like what we find.

GuestThe AI can lead you to the garden, but it's still up to you to decide if you want to do the planting.

HostThe ad for the seed kit might be a perfect match for my weekend plans, but I'm still the one who has to get my hands dirty.