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commands/evaluate-attribution-models.md
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commands/evaluate-attribution-models.md
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---
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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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commands/monitor-channel-pacing.md
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commands/monitor-channel-pacing.md
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---
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name: monitor-channel-pacing
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description: Tracks spend, performance, and guardrails across paid and owned channels.
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usage: /marketing-analytics:monitor-channel-pacing --window month --channels paid_search,linkedin,display --alerts true
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---
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# Command: monitor-channel-pacing
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## Inputs
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- **window** – day | week | month | quarter | campaign.
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- **channels** – comma-separated list (paid_search, paid_social, display, events, content, email).
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- **budget** – optional target spend to compare pacing against.
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- **alerts** – true/false to include guardrail breach alerts.
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- **format** – dashboard | memo | slack.
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## Workflow
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1. **Spend & Performance Sync** – pull channel spend, impressions, clicks, CPL, pipeline, revenue.
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2. **Normalization** – convert currencies, align attribution windows, reconcile UTMs.
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3. **Guardrail Checks** – compare to CAC, CPL, payback, or custom thresholds.
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4. **Optimization Signals** – flag channels/assets needing creative refresh or budget shift.
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5. **Packaging & Alerts** – publish dashboard/memo and optional Slack digest for owners.
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## Outputs
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- Channel pacing dashboard with KPIs vs targets.
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- Alert summary for guardrail breaches + recommended actions.
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- Reallocation recommendations with projected impact.
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## Agent/Skill Invocations
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- `channel-performance-analyst` – leads pacing diagnostics.
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- `marketing-intelligence-lead` – confirms priorities + narratives.
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- `channel-pacing-guardrails` skill – enforces budget/efficiency thresholds.
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- `roi-benchmark-library` skill – supplies benchmarks for comparison.
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---
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commands/produce-campaign-report.md
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commands/produce-campaign-report.md
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---
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name: produce-campaign-report
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description: Generates cross-channel campaign performance report with insights and recommendations.
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usage: /marketing-analytics:produce-campaign-report --campaign "Spring Launch" --window 30d --audience exec
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---
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# Command: produce-campaign-report
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## Inputs
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- **campaign** – campaign/program identifier (matches MAP/CRM naming).
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- **window** – analysis window (7d, 30d, campaign, custom).
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- **audience** – exec | marketing-lead | channel-owner | async.
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- **metrics** – optional override list for KPIs to highlight.
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- **format** – deck | memo | dashboard | csv.
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## Workflow
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1. **Data Assembly** – join paid, owned, and earned channel data with CRM pipeline/revenue fields.
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2. **Attribution Layer** – apply default or requested model, annotate confidence and limitations.
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3. **Performance Story** – highlight wins, underperformance, and causal insights.
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4. **Action Plan** – recommend optimizations, tests, or budget shifts per channel/asset.
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5. **Packaging** – tailor to audience with visuals, narrative, and calls-to-action.
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## Outputs
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- Campaign performance package (deck/memo/dashboard) with KPIs, insights, and actions.
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- Attribution summary with model notes and sensitivity ranges.
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- Optimization plan with owners, due dates, and expected impact.
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## Agent/Skill Invocations
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- `marketing-intelligence-lead` – frames narrative + executive summary.
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- `channel-performance-analyst` – provides channel diagnostics and pacing alerts.
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- `attribution-architect` – validates attribution logic and caveats.
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- `attribution-playbook` skill – enforces methodology templates.
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- `exec-dashboard-blueprint` skill – packages outputs for leadership reviews.
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---
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