Hey, I'm Arthur. I built AppSprint because every app founder kept asking me the same question.

That question kept coming up in founder calls, DMs, and conversations after Tap & Swipe episodes, the show I run on my Arthur Spalanzani YouTube channel where I interview app founders about how they build, grow, and monetize their apps. People had dashboards everywhere: RevenueCat for money, Superwall for paywalls, Apple Search Ads and TikTok Ads for spend. But when it was time to decide what to scale, they were still guessing.

I had the same mess in my own apps. Ads were spending, trials were starting, subscriptions were happening, and somehow the most important answer was still hiding between five tools.

For a while I was looking at surface metrics like cost per click and thinking I knew what was working. Then I started seeing the real picture with Apple Search Ads: some keywords looked more expensive at the click level, but were actually cheaper once I measured trial starts, conversion, retention, and return on ad spend (ROAS).

That was the moment AppSprint felt crazy useful to me. It was not just reporting. It was 10x better information about where the money was actually coming from. And when those events flow back to TikTok Ads or Google Ads, the algorithms can optimize from better signals too.

So I started building the boring plumbing I wanted for myself: connect the ad click, the install, the trial, the subscription, and the revenue. Then show it simply enough that a founder can make a decision without becoming an attribution analyst.

That is AppSprint. No giant MMP cosplay. No mystery pricing. No dashboard theater. Just a clearer answer to the question that decides whether you scale, pause, or rethink the campaign.