campaign-status

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Unified status dashboard for every tracked campaign across connected platforms — produces a summary table with health indicators, live spend and performance metrics, a 7-day execution history, pending approvals with age, KPI variance classification (on track / at risk / behind), flagged issues, and next scheduled actions. Reports only; it changes nothing on any platform. Triggers on "/digital-marketing-pro:campaign-status", "what campaigns are running right now", "any failed executions or stuck approvals", "status of the Q1-Launch campaign", "which campaigns are behind target". Reads the brand's campaign registry, execution log, and approval queue via campaign-tracker.py, execution-tracker.py, and approval-manager.py, plus live metrics from connected platform MCPs.

AI & Automation 809 stars 134 forks Updated 4 days ago MIT

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Skill Content

# /digital-marketing-pro:campaign-status ## Purpose Provide a unified view of all active campaigns across every connected platform — ads, email, social, blog — with their current status, live performance metrics, execution history, and any pending approvals or scheduled actions. Eliminates the need to check each platform individually and surfaces issues (paused campaigns, failed executions, stale content) before they become problems. ## Input Required The user must provide (or will be prompted for): - **Scope**: All active campaigns, a specific campaign by name or ID, or a specific platform (e.g., "Google Ads campaigns only", "email campaigns", "campaign named Q1-Launch") - **Detail level**: Summary (one-line status per campaign) or detailed (full metrics, execution history, and next actions per campaign) - **Time window** (optional): How far back to include execution history. Defaults to last 7 days - **Status filter** (optional): Filter by campaign status — active, paused, scheduled, completed, failed. Defaults to active + paused + scheduled - **Sort order** (optional): Sort campaigns by spend, performance, recency, or status. Defaults to platform grouping ## Process 1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. Also check f...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
7 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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Unified status dashboard for every tracked campaign across connected platforms — produces a summary table with health indicators, live spend and performance metrics, a 7-day execution history, pending approvals with age, KPI variance classification (on track / at risk / behind), flagged issues, and next scheduled actions. Reports only; it changes nothing on any platform. Triggers on "/digital-marketing-pro:campaign-status", "what campaigns are running right now", "any failed executions or stuck approvals", "status of the Q1-Launch campaign", "which campaigns are behind target". Reads the brand's campaign registry, execution log, and approval queue via campaign-tracker.py, execution-tracker.py, and approval-manager.py, plus live metrics from connected platform MCPs.

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