Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Early Moon, LLC · 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.
It is the best message filter APP! However, would you start for multi-language support for other countries? I wish one day I can use this APP for all my Chinese, English, French and German messages.
I just upgraded my Apple Watch. And I found that Messages on Watch got a same UI like iPhone now. Is there a way to make Watch working like iPhone?
Very good performance and very light weight app. I wonder what model the developer used, never tried ML models on iOS, but I imagine the neural net weights would need to be loaded in the app, judging from the size of the app, seems like a small and efficient network. Really hope iMessage could give access to such spam filters that runs locally, which will ensure no privacy breaches possible.
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