Skip to content
#

conversion-rate-optimization

Here are 42 public repositories matching this topic...

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

  • Updated Oct 2, 2019
  • Python

Audit-first Agent Skill for Codex & Claude Code, informed by publicly documented methods associated with April Dunford, Eugene Schwartz, Claude Hopkins, Joanna Wiebe, Robert Cialdini, David Ogilvy, Peep Laja, Ronny Kohavi, Jakob Nielsen, Aleyda Solís, Rand Fishkin, and others. No endorsement.

  • Updated Jul 26, 2026
  • Python

Identify conversion blockers and prioritize landing-page improvements with AI landing page analysis. A universal skill for Hermes, Claude Code, and OpenClaw that leverages simulated customer personas to find conversion optimization and CRO opportunities (provides synthetic hypotheses, not guaranteed lift).

  • Updated Aug 5, 2026
  • Python

🛒 A data-driven A/B testing framework for e-commerce platforms. This project leverages statistical hypothesis testing and exploratory data analysis (EDA) to evaluate customer behavior, optimize conversion rates (CRO), and drive revenue growth through evidence-based decision making. 📊🚀

  • Updated May 15, 2026
  • Python

Add this topic to your repo

To associate your repository with the conversion-rate-optimization topic, visit your repo's landing page and select "manage topics."

Learn more