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