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commands/evaluate-attribution-models.md

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+---
+name: evaluate-attribution-models
+description: Compares attribution models, highlights trade-offs, and recommends rollout plans.
+usage: /marketing-analytics:evaluate-attribution-models --campaigns launch_q1,evergreen_abm --models first,last,position,data-driven --audience finance
+---
+
+# Command: evaluate-attribution-models
+
+## Inputs
+- **campaigns** – list of campaigns/programs to analyze.
+- **models** – attribution models to compare (first, last, linear, position, time-decay, data-driven).
+- **audience** – finance | marketing-lead | ops | exec.
+- **metrics** – choose KPIs (pipeline, revenue, CAC, payback, LTV, ROAS).
+- **confidence** – optional minimum data confidence threshold to highlight gaps.
+
+## Workflow
+1. **Data Preparation** – pull campaign performance, cost, and pipeline/revenue outcomes.
+2. **Model Execution** – run requested models, normalize windows, and apply weighting rules.
+3. **Sensitivity Analysis** – compare outcomes vs benchmarks, highlight variance drivers.
+4. **Narrative Assembly** – contextualize trade-offs, governance considerations, and risks.
+5. **Recommendation Engine** – propose primary model, fallback, and rollout/QA checklist.
+
+## Outputs
+- Attribution comparison deck/table with KPI deltas per model.
+- Recommendation memo with decision, rationale, and risk mitigations.
+- Rollout plan including QA steps, owner assignments, and monitoring hooks.
+
+## Agent/Skill Invocations
+- `attribution-architect` – leads methodology comparison.
+- `marketing-intelligence-lead` – ensures narrative + stakeholder alignment.
+- `attribution-playbook` skill – documents rules + templates.
+- `exec-dashboard-blueprint` skill – packages executive summary.
+
+---