AdLens

AdLens was manually tagging creative assets to correlate visual elements with campaign performance. Their team of 12 analysts could process only 2,000 creatives per week, while clients were producing 15,000+. The manual approach also introduced subjective inconsistencies. Without automated visual analysis, AdLens could not scale beyond its initial client base without proportionally growing headcount.

Mixpeek automatically decomposes every ad creative into its visual components: color palette, layout composition, product placement, text overlay, human presence, and emotional tone. These features are stored as structured embeddings and linked to campaign performance data via Mixpeek collections. Clients can now query patterns like 'show me all top-performing creatives with warm tones and lifestyle settings' using natural language.

AdLens connected their creative asset pipeline to Mixpeek via bucket uploads triggered by their existing ETL. Feature extraction runs as batch jobs overnight and on-demand for priority campaigns. The team built a retriever-powered dashboard that lets marketing managers explore creative patterns without touching SQL. Total integration time was three weeks with a single backend engineer.