ad creative analysis
The part of advertising a model has to learn rather than be told. Hooks, angles, personas and offers, tagged consistently enough to count, and the copy that fits a platform's limits on the first try.
The measured evidence for this topic lives in Tag ad creative.
Creative testing needs more data than most tests get. Sample sizes for CTR lifts, why five identical ads still produce a winner, and how Meta tests work.
Video ad hooks earn attention, but Zappi's study of 3,300 social video ads shows they do not sell or brand on their own. What works, and where AI fits.
Performance Max asset testing splits traffic between two creative sets in one asset group. How it works, its limits, and how to turn a winner into a lesson.
What Meta, Google and TikTok are automating in advertising, what the announcements actually ship, and what that leaves for an independent model to check.
Open-weights and small language models for marketing work: what exists, what they cost to run, and how they compare on a public benchmark.
How to tell whether a marketing AI is any good: public benchmarks, blind judging, label quality, seed variance and the claims they do and do not support.
When fine-tuning beats prompting and when it does not, with measured results: LoRA adapters, scaling curves, quantization and label quality.
Safe zones, character limits, aspect ratios and ad policy: the rules that decide whether an ad renders correctly before anyone judges whether it is good.