Attribution Playbook

Standard operating guide for campaign tagging, attribution models, and QA.

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

Attribution Playbook Skill

When to Use

Standing up or refreshing attribution models across teams.
Training campaign owners on UTMs, tracking, and governance.
Running QA before/after changing attribution weights or tooling.

Framework

Taxonomy Rules – channel, campaign, creative, and experiment naming standards.
Model Catalog – when to use first/last/linear/position/data-driven with pros/cons.
Data Contracts – required fields, systems of record, sync cadence.
QA Checklist – sample records, dedupe logic, cross-tool reconciliation.
Change Management – approval workflow, communications, and measurement of impact.

Templates

UTM builder + validation sheet.
Attribution model comparison matrix.
QA runbook for campaign launches and quarterly audits.

Tips

Keep a shared "gotchas" log for recurring tagging errors.
Align with finance on ROI/CAC definitions before rolling out model changes.
Pair with evaluate-attribution-models for decision-ready narratives.

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]".

sales-gtm-revops+1

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.

marketing-growth-copy+1

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.”