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