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roi-benchmark-library

Reference benchmarks for CAC, CPL, ROAS, and payback across channels

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--roi-benchmark-library
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/gtmagents/gtm-agents/HEAD/plugins/marketing-analytics/skills/roi-benchmark-library/SKILL.md -o .claude/skills/roi-benchmark-library.md

Drops the SKILL.md into .claude/skills/roi-benchmark-library.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

ROI Benchmark Library Skill

When to Use

  • Comparing current performance vs historical or industry benchmarks.
  • Setting guardrails for budgeting, pacing, and campaign approvals.
  • Equipping finance/marketing leaders with realistic ROI expectations.

Framework

  1. Benchmark Sources – internal history, partner data, analyst reports, industry surveys.
  2. Segmentation – channel, region, persona, product, funnel stage.
  3. Metric Definitions – CAC, CPL, ROAS, payback, pipeline-to-spend, revenue-to-spend.
  4. Update Cadence – monthly for active channels, quarterly for strategic benchmarks.
  5. Usage Guidance – when to escalate variances, how to contextualize outliers.

Templates

  • Benchmark matrix (channel x metric x segment).
  • Variance alert sheet with thresholds + recommended actions.
  • Executive summary page for QBRs.

Tips

  • Normalize for currency changes and attribution windows before comparing.
  • Pair with monitor-channel-pacing to trigger alerts against guardrails.
  • Share benchmark deltas with channel owners to inform creative/test roadmaps.