RevOpsAttribution · Analytics

Campaign Benchmarking

Benchmark your outbound campaigns against internal baselines, industry standards, and cross-portfolio performance data.

by kenny589·MIT·49 on GitHub·updated 2026-02-17
git clone https://github.com/kenny589/gtm-flywheel.git

Description

Benchmark your outbound campaigns against internal baselines, industry standards, and cross-portfolio performance data. Know if your campaigns are actually good — not just whether they feel good.

What this skill does

  1. 1Compares campaign metrics against three benchmark layers: external industry standards, internal portfolio medians (by percentile), and segment-specific benchmarks for apples-to-apples evaluation.
  2. 2Generates a campaign scorecard that grades each metric (open rate, positive reply rate, reply-to-meeting, cost per meeting) against the segment benchmark.
  3. 3Produces cross-portfolio analysis tables and time-series trend charts to detect rising, flat, or declining performance patterns.
  4. 4Sets data-driven targets for new campaigns using historical segment data including median, stretch, and minimum sample thresholds.
  5. 5Benchmarks operational efficiency metrics (sends per meeting, pipeline per 1000 sends, time to first meeting) beyond vanity reply rates.

When to use

  • Evaluating whether a campaign's 4% positive reply rate is good or bad for the specific persona and segment.
  • Reporting outbound performance to clients or leadership and needing benchmark context alongside raw numbers.
  • Setting realistic targets for a new campaign before launch using historical data from similar segments.
  • Identifying which campaigns or clients are below portfolio median and need optimization before scaling.

Best for

Revenue OperationsAgency / Consultant

Format

FrameworkTemplateWorkflowTrackerPlaybook

Frequently asked questions

What is Campaign Benchmarking?

Campaign Benchmarking is a Claude Code skill for revops by kenny589. Benchmark your outbound campaigns against internal baselines, industry standards, and cross-portfolio performance data.

When should I use Campaign Benchmarking?

Evaluating whether a campaign's 4% positive reply rate is good or bad for the specific persona and segment. Reporting outbound performance to clients or leadership and needing benchmark context alongside raw numbers.

How do I install Campaign Benchmarking?

Run the install command (git clone https://github.com/kenny589/gtm-flywheel.git). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.

Is Campaign Benchmarking free to use?

Yes. Campaign Benchmarking is open source under the MIT license, published in the kenny589/gtm-flywheel repository on GitHub.

Source repository

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