Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Bernhard Hering · iOS
Explore the ad evidence, study the storefront, and build your next acquisition hypothesis.
01 / Creative research
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Explore apps with direct store-link matches. Compare their hooks and formats without assuming the same approach works here.
Browse observed advertisers ↗Store rankings and revenue estimates describe market context. They do not establish ad spend, conversions or ROAS.
Review the market context ↗02 / Storefront & product
Study the product story and store experience behind the acquisition funnel.
03 / Market context
Keep revenue, downloads and store rankings separate from advertising performance.
Mostly, I’m confused as to why it pulls ALL workouts as a run - even sauna sessions. I see the potential here, but kinda shocked something as simple as pulling only running workouts isn’t working. Lots of work to do here. Update: I guess my feedback wasn’t clear, as the developer’s response was kind but explained something I already know. I’m not confused as to why all workouts would be helpful for load, impact, etc. what confuses me is that the analysis on each workout - regardless of type - is still done through the lens of a run. The AI apparently cannot distinguish a run, from a sauna session, from a cycling session. I still fail to see how that would be helpful as currently structured, as it’s not providing useful/actionable feedback to the athlete.
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