roi-benchmark-library

v2026.09.25

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

GitHub
Install command
npx skhub add gtmagents/roi-benchmark-library
Markdown
SKILL.md

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.

Discovery
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Version
Latest version metadata

Version

v2026.09.25

Published

Sep 25, 2026

Category

Uncategorized

License

Apache-2.0

Source path

plugins/marketing-analytics/skills/roi-benchmark-library

Default branch

main

Latest commit

78e0419

Tree SHA

9016d99