Reference benchmarks for CAC, CPL, ROAS, and payback across channels
View on GitHubgtmagents/gtm-agents
marketing-analytics
January 22, 2026
Select agents to install to:
npx add-skill https://github.com/gtmagents/gtm-agents/blob/main/plugins/marketing-analytics/skills/roi-benchmark-library/SKILL.md -a claude-code --skill roi-benchmark-libraryInstallation paths:
.claude/skills/roi-benchmark-library/# 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. ---