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engagement-analytics

engagement-analytics

github.com/gtmagentsData & databases42865 installsUpdated 30w ago
Repository

About engagement-analytics

engagement-analytics is a skill for analyzing webinar performance from registration through conversion. It outlines KPI design, data mapping, dashboards, anomaly alerts, cohort analysis, and recurring insight reports for GTM teams.

Key features

  1. 01Metrics from acquisition to satisfaction
  2. 02Tiered KPIs aligned with GTM goals
  3. 03Mapping data sources and refresh schedules
  4. 04Dashboards, anomaly alerts, and cohort analysis
  5. 05Recurring reports for findings and actions

Use cases

  1. 01Building webinar registration-to-conversion dashboards
  2. 02Investigating attendance drop-offs or unusual sessions
  3. 03Reporting webinar ROI to GTM leadership

Install

Copy the command and run it in a terminal.

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

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

Details

From the project README

Webinar Engagement Analytics Skill

When to Use

  • Building dashboards for registrations → attendance → engagement → conversion.
  • Investigating drop-offs or anomalous sessions.
  • Reporting to GTM leadership on webinar ROI.

Framework

  1. Metrics Stack – acquisition, attendance, engagement, conversion, satisfaction ladders.
  2. KPI Design – define thresholds per tier and align with GTM goals.
  3. Data Plumbing – map sources (platform, MAP, CRM, survey) and refresh schedules.
  4. Analytics Workflow – build dashboards/anomaly alerts and run cohort analyses.
  5. Insight Loop – document findings, actions, and owners in recurring reports.

Templates

  • KPI tracker spreadsheet (target vs actual vs delta).
  • Insight brief structure (observation, impact, recommendation, owner).
  • Experiment log tied to engagement metrics.

Tips

  • Track on-demand performance separately; long-tail views often exceed live.
  • Segment by acquisition channel to optimize promotion mix.
  • Combine qualitative feedback with quantitative metrics for context.

Comments

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