Audience Intelligence

Use AI to unify audience measurement and verify media quality for better campaigns.

Business impact

• Audience reach — Improves targeting accuracy to expand and optimize audience coverage
• Ad viewability — Ensures ads are seen by real users, increasing measurable impressions
• Campaign effectiveness — Enhances ROI by optimizing media spend based on verified audience data
• Media quality — Scores media environments to prioritize high-quality inventory and placements
• Ad fraud reduction — Detects and filters invalid traffic to reduce wasted ad spend

Data requirements

• Cross-screen audience measurement data (Structured) — Used to deduplicate and unify audience metrics across devices and channels
• Ad-quality signals from verification tools (Numeric) — Provide real-time validation of ad impressions and media environment quality
• Campaign performance metrics (Numeric) — Feed AI models to optimize targeting and media allocation decisions

AI methods and techniques

• Predictive AI — Forecasts audience behavior and campaign outcomes for better targeting
• Agentic AI — Automates media verification and optimization workflows across platforms

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Nielsen.