Signals and the Intelligence Graph feed six decision engines. Each produces recommendations with a confidence score and projected impact. You decide; outcomes feed back. Observe → Decide → Act → Learn.
Signals — Pricing, competitors, campaigns, reviews, behavior, search flow in continuously.
Graph — The Intelligence Graph structures relationships. Every entity and edge is queryable.
Engines — Market Intelligence, Opportunity, Campaign Outcome, Creative Fatigue, Pricing Strategy, Category Gap / Demand Forecast. Each consumes the graph and outputs scored recommendations.
Recommendations — Decision cards: action, confidence %, projected impact. Example: “Launch new product variant” (87%), “Rotate Campaign B creative” (82%).
Actions — You execute. Outcomes feed back into the graph and engines. The loop compounds.
Decision cards surface: the recommended action, confidence percentage, and projected impact (e.g. +18% revenue, CTR +24%, margin +9%). You prioritize by score and impact. The feedback loop ensures the next round of recommendations is sharper — ROI compounds over time.
Launch new product variant
Confidence 87% · Revenue +18%
Rotate Campaign B creative
Confidence 82% · CTR +24%
Adjust price band
Confidence 68% · Margin +9%
Expand category
Confidence 71% · TAM +$2.4M