AI on Ad Creatives Performance and Planning
Detecting qualitative ad creatives performance attributes trough AI

Answering what made a campaign successful can’t be described by reach and CTRs. What makes a person click through an ad goes beyond the inventory spot. The creative must emotionally speak to the audience so it triggers the compelling reason to engage. By using traditional metrics as CTRs, view time and viewability does not answer the more subjective, emotional reasons that made the ad creative successful.

Leveraging AI machine learning vision capabilities made possible to extract elements from the ad creative and tag the metadata with these elements so they can be transformed into insights for ad sales.

In this project I’ve envisioned the possibility and provided the consulting to the ad sales division of a large media conglomerate on how to combine AI, ad sales objective and Ad Tech into a solution that would add qualitative insights on how certain aspects of a creative perform on different channels and advertisers industries.

I've described the problem, designed the solution concept and put together the technical solution to the business problem trough a roadmap of attainable objectives and also hands on implemented the roadmap first phase