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roi-benchmark-library skill

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

This skill benchmarks CAC, CPL, ROAS, and payback across channels to inform budgeting, pacing, and executive ROI discussions.

npx playbooks add skill gtmagents/gtm-agents --skill roi-benchmark-library

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
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---
name: roi-benchmark-library
description: Reference benchmarks for CAC, CPL, ROAS, and payback across channels
  and segments.
---

# 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.

---

Overview

This skill provides a production-ready library of ROI benchmarks for CAC, CPL, ROAS, payback, and related spend-to-revenue metrics across channels and segments. It helps teams compare current performance to internal and external references and set practical guardrails for budgeting and campaign approvals. The library is designed for revenue, marketing, and finance workflows and integrates with monitoring and pacing tools.

How this skill works

The skill aggregates benchmark sources such as internal history, partner data, analyst reports, and surveys, then normalizes values by channel, region, persona, product, and funnel stage. It defines consistent metric definitions (CAC, CPL, ROAS, payback, pipeline-to-spend, revenue-to-spend) and supplies matrices, variance alerts, and executive summary templates. Update cadence recommendations (monthly for active channels, quarterly for strategic benchmarks) and usage guidance are included to help teams act on deviations.

When to use it

  • Compare current campaign performance to historical and industry benchmarks.
  • Set budget guardrails, pacing thresholds, and campaign approval criteria.
  • Inform finance and marketing forecasts with realistic ROI expectations.
  • Escalate or investigate large variances in channel performance.
  • Build executive summaries for QBRs and stakeholder reviews.

Best practices

  • Segment benchmarks by channel, region, persona, product, and funnel stage before comparison.
  • Normalize for currency fluctuations and differences in attribution windows.
  • Use a monthly cadence for active channels and quarterly checks for strategic benchmarks.
  • Pair benchmarks with channel pacing monitors to trigger variance alerts automatically.
  • Share benchmark deltas with channel owners to prioritize tests and creative changes.

Example use cases

  • Marketing leader compares current CAC and CPL to internal benchmarks to approve incremental spend.
  • Revenue ops builds a benchmark matrix (channel x metric x segment) to guide budgeting conversations.
  • Performance team configures variance alert sheets to notify owners when ROAS drops below thresholds.
  • Finance uses payback and revenue-to-spend benchmarks to validate forecast assumptions for a QBR.

FAQ

What sources should I trust for benchmarks?

Combine internal historical data, partner performance, analyst reports, and industry surveys, weighting internal data highest and external sources for context.

How often should benchmarks be updated?

Update monthly for actively used channels and campaigns; refresh strategic or less active benchmarks quarterly.