About roi-benchmark-library
roi-benchmark-library is a skill for finance and marketing teams comparing performance with historical or industry benchmarks. It provides a framework for segmentation, metric definitions, update cadence, and interpreting variances.
Key features
- 01Benchmark source mapping
- 02Channel and audience segmentation
- 03ROI metric definitions
- 04Benchmark update cadence
- 05Variance guidance and templates
Use cases
- 01Comparing campaign results with benchmarks
- 02Setting budget and pacing guardrails
- 03Preparing ROI expectations for planning reviews
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/roi-benchmark-libraryin Claude Code to confirm it loaded.
Details
From the project READMEROI 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
- Benchmark Sources – internal history, partner data, analyst reports, industry surveys.
- Segmentation – channel, region, persona, product, funnel stage.
- Metric Definitions – CAC, CPL, ROAS, payback, pipeline-to-spend, revenue-to-spend.
- Update Cadence – monthly for active channels, quarterly for strategic benchmarks.
- 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-pacingto trigger alerts against guardrails. - Share benchmark deltas with channel owners to inform creative/test roadmaps.
Comments
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