This is like a smart co-pilot for your ad campaigns that constantly watches performance and quietly suggests what to tweak—budget, segments, messaging—while the campaign is still running so you don’t waste money.
Marketing teams run digital campaigns that often underperform because optimizations happen late, manually, and based on fragmented data. This tool uses AI on real-time performance and audience data to recommend ‘in-flight’ changes that improve ROI before the campaign ends.
Proprietary marketing performance and location/behavioral data combined with embedded optimization workflows inside an existing real-time marketing and measurement platform, creating switching costs and continuous model improvement.
Hybrid
Vector Search
Medium (Integration logic)
Real-time data ingestion and feature computation at campaign scale, plus potential cost/latency of running models frequently across many concurrent campaigns.
Early Majority
Focus on in-flight optimization recommendations powered by proprietary real-time marketing and measurement data, likely with strong location/behavioral signals, rather than generic post-campaign reporting dashboards.