About offer-testing
offer-testing is a skill for planning and analyzing marketing experiments across email, ads, and landing pages. It provides test frameworks and templates for validating copy, positioning, and pricing.
Key features
- 01Hypothesis and variable selection
- 02Audience segmentation and holdouts
- 03KPI and guardrail definition
- 04Significance or Bayesian analysis
- 05Experiment and results templates
- 06ICE/RICE prioritization matrix
Use cases
- 01Testing email subject lines and CTAs
- 02Validating positioning or pricing language
- 03Refreshing campaign copy
- 04Recording results and next steps
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/offer-testingin Claude Code to confirm it loaded.
Details
From the project READMEOffer Testing Playbooks Skill
When to Use
- Planning subject line/CTA/offer tests across email, ads, or landing pages.
- Validating new positioning or pricing language.
- Running copy refresh cycles for campaigns.
Framework
- Hypothesis – statement of expected lift + rationale.
- Variable Selection – hook, CTA, body copy, offer framing, proof element.
- Segmentation – define audience splits and holdouts.
- Metrics – primary KPI + guardrails (opens, CTR, CVR, CPL, unsub, spam).
- Analysis – statistical significance (chi-square, z-test) or Bayesian approach.
Templates
- Experiment brief (variable, control, variant, KPI, sample size, duration).
- Results report (metric table, significance, insight, next steps).
- Prioritization matrix (ICE/RICE scoring).
Tips
- Limit to one variable per test to isolate learnings.
- Ensure minimum sample sizes per channel before declaring winners.
- Log tests and learnings in a shared repository.
Comments
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