Contextual Marketing

Use AI to deliver personalized, context-aware marketing messages that boost engagement and sales

Business impact

• conversion rate — Higher conversion rates result from more relevant and timely marketing messages
• engagement rate — Customer engagement improves due to personalized and context-aware content
• ad effectiveness — Ads perform better by matching context and audience preferences precisely

Data requirements

• Customer browsing and purchase history (Structured) — Used to understand preferences and tailor marketing messages
• Media content and context metadata (Text) — Analyzed to align ads with relevant content environments
• Visual data from images and videos (Image) — Processed via computer vision to assess ad placement safety and relevance
• Product catalog and descriptions (Text) — Used to generate personalized product marketing content

AI methods and techniques

• Predictive AI — Predicts customer preferences and optimal timing for marketing messages
• Generative AI — Generates personalized product descriptions and marketing content
• Symbolic AI — Ensures rule-based compliance and content safety in ad placements

AI models and model families

GPT-4, Claude, Custom computer vision models

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Gum Gum, Neolait.