Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Carlos Obando · 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.
I love the concept, but I’m very disappointed it works terribly. Video recognition is completely wrong. Audio recognition is mostly wrong. DO NOT RECOMMEND.
I used the vocabulary that is in your sample database. I have been a professional ASL interpreter for 40 years. It only recognized one sign. Doesn’t do simple utterances. Not even a 2-3 word sentence using your vocabulary. I would expect that you could add vocabulary to the database, and that you would have your own Sign Language models not some random vocabulary from other peoples websites. I tried ASL, LSM, and several other sign languages.
SpeakLiz uses Artificial Intelligence in real time to analyze sound, understand human voices and more. It's optimized for working in 35 languages. Spe...
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