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distribution-analytics

distribution-analytics

github.com/gtmagentsMarketing & growth42868 installsUpdated 30w ago
Repository

About distribution-analytics

distribution-analytics is a marketing skill for planning video releases across channels and measuring engagement, conversions, and ROI. It combines channel strategy, promotion, repurposing, and attribution guidance.

Key features

  1. 01Plan owned, social, paid, and partner distribution
  2. 02Adapt video formats to each platform
  3. 03Coordinate promotion cadence and paid boosts
  4. 04Repurpose video into clips and other formats
  5. 05Track awareness, engagement, and conversion metrics
  6. 06Compare attribution and cohort performance

Use cases

  1. 01Planning a cross-channel video release
  2. 02Optimizing promotion and partner amplification
  3. 03Reporting video engagement and conversions
  4. 04Using retention data to guide editing

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill distribution-analytics

After installing, type/distribution-analyticsin Claude Code to confirm it loaded.

Details

From the project README

Video Distribution & Analytics Skill

When to Use

  • Planning cross-channel release strategy (YouTube, LinkedIn, TikTok, paid, website).
  • Optimizing promotion cadence, paid boosts, and partner amplification.
  • Reporting on video engagement, conversions, and ROI.

Framework

  1. Owned Channels – website, blog embeds, email nurtures, product UI.
  2. Social Platforms – channel-specific formatting (length, aspect ratio, subtitles, hooks).
  3. Paid Media – targeting, budget allocation, creative rotation, lift studies.
  4. Partners/Community – syndication, co-marketing, advocacy programs.
  5. Repurposing – clips, GIFs, reels, audio snippets, transcript-based blogs.

Analytics Stack

  • Awareness – impressions, views, view-through rate, unique viewers.
  • Engagement – watch time, retention curves, clicks, comments, shares.
  • Conversion – CTA clicks, landing page visits, opportunities, revenue.
  • Attribution – first-touch vs multi-touch analyses, cohort performance.

Templates

  • Channel playbook (requirements, posting schedule, CTA guidance).
  • Dashboard schema (metrics, source, refresh cadence).
  • Optimization tracker (hypothesis, test, result, next step).

Tips

  • Localize thumbnails and captions per channel.
  • Use UTM conventions and vanity URLs to attribute conversions.
  • Monitor audience retention graphs to inform editing decisions.

Comments

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