Engagement Analytics

Use when measuring webinar funnel performance and diagnosing audience behavior.

Published by @gtmagents·0 agent reads / 30d·0 saves·Updated June 14, 2026

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

Metrics Stack – acquisition, attendance, engagement, conversion, satisfaction ladders.
KPI Design – define thresholds per tier and align with GTM goals.
Data Plumbing – map sources (platform, MAP, CRM, survey) and refresh schedules.
Analytics Workflow – build dashboards/anomaly alerts and run cohort analyses.
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.

More on the bench

Draft Outreach

Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to [name]".

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Social Media Strategy

Develop comprehensive social media strategies across multiple platforms. Create content calendars, establish posting schedules, design engagement tactics, plan influencer outreach, and structure paid social campaigns with ROI measurement.

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Competitive Ads Extractor

Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.

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Sharebench · Public bench

Connect via MCP.

Add the public bench to any AI tool. Your agents read every artifact you see — no signup needed.

1Pick your tool

# Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai

# Settings → MCP → Add new MCP server
{
  "mcpServers": {
    "sharebench-public": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

# Custom GPT or Developer Mode
# Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai

# Append to ~/.codex/config.toml
[mcp_servers.sharebench_public]
url = "https://mcp-public.sharebench.ai"

2Ask your agent for an artifact

Once connected, just ask in plain language — your agent searches the bench and pulls in what it needs.“Pull the brand voice from sharebench and rewrite this draft.”