There was a paper recently: "LLMs Reproduce Human Purchase Intent via Semantic Similarity
Elicitation of Likert Ratings"
- The research showed models being able to reproduce purchasability via llms, which I thought was cool because i'm in the advertising space
- the question came up, can you predict which ads will also perform better?
- the answer is yes, you can also do the same with landing pages, logos, and other product shots.
- I've implemented a loop to use public data sets to test many theories on how models and now the J-space gives insight as to how to convert better.
- Let me know if you'd like the loop:)
Show HN: Kettio – using ML to assume audience buying
kettio.com