Think of this as a digital marketing autopilot for online stores: it watches your ads, audiences, and creative 24/7, learns what works, then automatically shifts budget, tests new ideas, and reports results, so you sell more with less manual tweaking.
Reduces the manual, error-prone work of managing and optimizing performance marketing campaigns (targeting, bidding, creatives, and reporting) for e-commerce brands, helping them scale profitable ad spend and avoid wasted budget.
Tight integration into ad platforms and e-commerce stacks, plus accumulated marketing performance data that can train better optimization and prediction models over time, creating sticky workflows for media buyers.
Hybrid
Vector Search
Medium (Integration logic)
Context window and inference cost for large-scale multi-account campaign optimization; integration limits and rate caps from ad platforms (Meta, Google, etc.).
Early Majority
Framed explicitly around performance marketing for e-commerce, packaging multiple AI use cases (budget allocation, creative insights, audience targeting, and reporting) into a single workflow rather than point tools.