Limitless Creative A/B Testing with Image Baseline Models

Growth Hacking relies on A/B testing (testing one creative against another to see which converts best). The historical limit was the budget: having a photographer shoot 50 varied photos of a product in wildly different contexts is astronomically expensive.

Midjourney and Stable Diffusion at E-quipe

Instead of guessing the best set, we generate it. We train a "custom model" by feeding neutral photos (packshots) of the client's product into diffusion algorithms.

Then, we prompt the product onto snowy mountains, cyberpunk studios, held by supermodels, or sitting in a family living room. Within a day, we obtain a package of 100 hyper-realistic creatives.

The Testing Framework

We construct 100 micro-optimized campaigns using these visual assets. Meta's advertising algorithm determines within 48h which "vibe" converts best. At that point, our photographer shoots _exactly_ in that overarching style for the "real" macro campaign, eliminating all guesswork from design.

Artificial Intelligence becomes strictly a Business Intelligence tool here, not just visual art.