This is like giving your media buying team a super-calculator that constantly studies billions of ad impressions and audience signals, then automatically adjusts who you target, where you show ads, and what you pay so every dollar has a better chance of turning into real business results.
Digital advertisers struggle to turn media spend into measurable business outcomes (ROAS, conversions, incremental sales) because of fragmented data, signal loss (cookies, IDs), and the complexity of managing bids, audiences, and channels manually.
Access to large-scale, proprietary media performance data across many advertisers and publishers, deeply embedded in existing ad buying workflows on The Trade Desk platform, plus optimization algorithms tuned over years of programmatic auction data.
Hybrid
Vector Search
High (Custom Models/Infra)
Real-time bidding latency and cost of scoring very large impression volumes with complex models.
Early Majority
Positioned as an independent, demand-side AI optimization layer focused on advertiser ROAS rather than closed, walled-garden inventory, with transparency and control over how optimization is applied across open-internet inventory.