1.7 KiB
1.7 KiB
name, description, usage
| name | description | usage |
|---|---|---|
| evaluate-attribution-models | Compares attribution models, highlights trade-offs, and recommends rollout plans. | /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
- Data Preparation – pull campaign performance, cost, and pipeline/revenue outcomes.
- Model Execution – run requested models, normalize windows, and apply weighting rules.
- Sensitivity Analysis – compare outcomes vs benchmarks, highlight variance drivers.
- Narrative Assembly – contextualize trade-offs, governance considerations, and risks.
- 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-playbookskill – documents rules + templates.exec-dashboard-blueprintskill – packages executive summary.