GTM Sauce

Sizzle AI · B2C · AI learning app

Buy test traffic with your best ad and run 3-4-way paywall tests in days

Cost per purchase fell from ~$500 to ~$300 within days

Workedexperimentationpaywallpaid-social

What they did

Take a winning (top-10%) creative and split paid traffic by goal. Most goes to 'crazy testing': send tens of thousands of installs in a few days into 3- and 4-way experiments on the paywall and other in-app steps, accepting up to ~$200 cost per purchase (vs $50-$100 profitability targets) as long as it isn't $1,000-$2,000. ~20% of traffic is held to profitability targets using churn (3-7 months) and LTV ($30-$70+ per purchase) by country and device. Keep the two data sets separate so a $300 CPA on test traffic doesn't lead to turning everything off. Also tried new audiences such as teachers and tutors.

What happened

Cost per purchase dropped from ~$500 to ~$300 within days of rapid in-app experiments (depending on targeting).
Stage
growth

In their words

Yev Marusenko - How I Grow Viral Apps to 1M+ Downloads (just copy me)

Play from 17:37

Yev Marusenko… that one of them you're building up, that way it's it's profitable and scalable, and the other one is we're optimizing the onboarding flow. So, I'm kind of like sending in traffic and knowing that we're getting 1% conversion rate from the install all the way down to the purchase. And then I'm taking the same ad, this is where like the key breakdown happens, where here's a a successful ad, meaning it's it's in the top 10% of the organic content.

17:37

Yev MarusenkoSo now, I can amplify it with paid ads, and knowing that this creative is like the testing amplifier. So now, I take my funnel, the actual journey from the install to going through onboarding in the app, using the app, and then there's paywall-related steps, whether it's in the onboarding or after product usage. So now, I need to look at it as two points of profitability, meaning that anytime I'm split testing part of the app usage, I kind of like don't care about the cost per purchase, because I'm sending in tens of thousands of installs to optimize that data within a few days. And then I'm tracking all of this data to know that here's the best ad that I have, and I know it's not like $2,000 cost per purchase or $1,000 cost per purchase.

18:19

Yev MarusenkoIt's like something that reasonable. And now, I'm optimizing the in-app really fast. It's not taking like weeks or months to optimize it. It's like within days, I do three-way experiment, four-way experiment. I'm testing like crazy things like in the paywall, other parts of the app, and right away that cost per purchase goes from $500 to $300 per, depending on what I'm targeting. I'm like, "All right, should I like target teachers as well or tutors?" So, part of it is sending in data really fast to optimize, and then that cost per purchase moves down really quickly. The performance is more about the velocity of performance.

Yev Marusenko… on we know what that our churn is depending on the audience, the country, it's kind of between three and seven months, kind of depends on the numbers I'm looking at. I can like estimate LTV, so I know that each purchase is worth kind of depending on the audience, but it's $30 or like $70 or like higher kind of depending on different parts of the product that is purchased, depending on the country, and also device, like iOS is much better.

19:19

Yev MarusenkoSo then, I know the exact numbers. I don't blend this data with the rest, because you might make a decision where like, "Uh, it's $300 cost per purchase, turn it all off." Sometimes you can do that if you're very aggressive, but then I'm taking where like 20% of it is matching our numbers exactly, so it's kind of I'm okay with incremental improvement there while crazy testing is here. Incremental meaning that then taking this creative and testing 10 different headlines.

19:42

Yev MarusenkoYeah, specifically for this video, it's into hundreds of purchases. So, it's not like crazy where it's like thousands of purchases from a particular video. Guess we can like do the math, but it's in the ballpark of hundreds of purchases.

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Tags: test-traffic, cpa-targets, rapid-iteration, budget-split