Agency Benchmarking
Compare AI-generated campaign output with real agency work, then use blind scoring to decide what can safely move in-house.
When does routine campaign work move in-house?
Use blind scoring to decide which campaign types are ready for AI production, while the agency stays focused on higher-value creative and strategy.
Real agency deliverable to benchmark against
Choose the agency baseline before generating the AI parallel version.
Projected performance — AI vs Agency
Hypothetical email performance as more historical campaign content is loaded into the Knowledge Repository. The agency is a fixed baseline; the AI improves as it learns from your archive.
Illustrative projection for the narrative, not measured data.
Performance Learning Agent
Converts benchmark scores and campaign metrics into reusable recommendations for the next brief.
Rank subject lines that name cost, downtime, or risk reduction above generic product claims.
Default to Book a demo for IT buyers, but offer Get printer details for procurement variants.
Attach proof/disclaimer language during generation, not at final review.
All metrics shown as %. For unsubscribe rate, lower is better — a shorter AI bar is the win.