evaluate-campaign

Multi-channel campaign evaluation scores post-launch metrics across paid, organic, and email channels to produce a verdict, per-channel breakdown, and unit economics. It operates inside an eval-loop workspace containing a channel rollup, primary metric values, and fully-loaded spend data.

Scoring post-launch campaigns requires an eval-loop workspace containing program.md, context.md, a channel rollup, primary metric value and window, and total fully-loaded spend. A source plan-campaign artifact must also exist for hypothesis integration.

Per-channel breakdown classifies cross-channel results by driver and rider channels, calculating unit-economics signals for each. This aggregates performance data to provide post-launch insights integrated with plan-campaign hypotheses and a results ledger.

Evaluating campaign performance generates an eval artifact, a ledger row, and learnings. These outputs capture the campaign verdict, per-channel breakdown, and unit economics for integration into an existing results ledger.

Yes, you can score campaigns that ran across paid, organic, and email channels. The evaluation process aggregates cross-channel metrics within a dedicated eval-loop workspace to deliver a comprehensive verdict and unit-economics breakdown.