Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Anirudh Kotamraju · 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.
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I don’t leave many reviews, but this app is special — the basis for what it does is simple (trying to rate sunsets before they happen) but how well it works makes it powerful. The probability distributions strike the balance between informative and easy-to-understand. It’s been useful knowing which days to take hikes or go view-finding, since I can check the app for 9 days in advance. Overall, just an intelligent piece of software which users can easily use.
I love beautiful sunsets, but because I never had an easy way to predict the sunset, I’d always take my dates to crappy sunsets and then they would stop talking to me because they didn’t have a good time with me With Ember, I planned a date to be on the day of a beautiful 🤩 sunset and now I have a girlfriend. Thanks to the team, yall are doing gods work
Ever wanted to take pictures with a stunning sunset background, only to end up with a bunch of gloomy clouds? Never again. Ember uses machine learning...