Marketing teams bring us generative content tools that cost more per asset than planned, personalisation models nobody has evaluated against a holdout, and image or AR features that look good in a demo and fail on the real product catalogue.
How It Connects
Model choice lands in the LLM Selection Pack; cost per asset in the Inference Cost Cut Pack; generation pipelines in Generative AI. Product imagery for shops is covered under Retail.
We have not published a marketing case study. Tell us about the campaign.
We generate a sample of your real briefs with each candidate, have your team grade the output blind, and price each model per finished asset, including the edits it still needs.
With checks built for your brand: claims that need a source, terms you never use, and images that misrepresent the product. We set them up as an automated pass before a person signs off.