Methodology

ContextAds scores context hints before spend using synthetic ChatGPT conversations generated from category-specific personas: intent stage, demographics, and budget sensitivity included.

Each hint is evaluated on topical relevance, intent alignment, and natural fit against hundreds of conversations. Scores reflect predicted surfacing under OpenAI's relevance-weighted auction, not generic NLP similarity.

After launch, we compare predicted match rates to actual delivery. Calibration data from each campaign improves scoring for the next. Detailed methodology paper coming soon.