One-click install
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill cro-indranilbanerjee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cro
Source: https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/cro
Command: npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill cro-indranilbanerjee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conversion rate optimization is addressed by providing a structured, end-to-end framework to audit pages, design tests, and implement improvements that lift conversions across landing pages, forms, and checkout flows.

Core Features & Use Cases

  • Landing Page Audit framework to identify bottlenecks and opportunities for uplift
  • A/B/n testing design guidance with ICE scoring, sample-size calculations, and significance checks
  • Form and Checkout optimization playbook including progressive profiling, single vs multi-step flows, and trust signals
  • Real-world example: audit a high-traffic landing page, reduce form fields and add guest checkout to lift submission rate by 15-25%

Quick Start

Audit a landing page for conversion bottlenecks and generate a basic A/B test plan using ICE scoring

Frequently Asked Questions about cro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify conversion bottlenecks on my landing page?▼

Identifying conversion bottlenecks involves using a landing page audit framework to analyze on-page performance, detect friction points in forms, and prioritize opportunities for conversion rate uplift.

What's the best way to design an A/B test for checkout optimization?▼

Designing A/B tests for checkout optimization requires forming a hypothesis, calculating sample sizes, applying ICE scoring to test variations, and verifying statistical significance to ensure reliable conversion improvements.

How many form fields should I use for lead generation forms?▼

Form optimization for lead generation often uses progressive profiling and single vs multi-step flows to reduce friction, balancing data collection needs with submission rates to lift form conversions.

Why does my A/B test result show no statistical significance?▼

A/B test results lack statistical significance when sample sizes are too small or effect sizes are low, requiring proper sample-size calculations and extended experiment durations before interpreting conversion data.

Can I use conversion rate optimization for mobile checkout flows?▼

Conversion rate optimization applies to mobile checkout flows by enforcing mobile-first considerations, reducing form fields, adding guest checkout options, and implementing trust signals to lift mobile submission rates.

Do I need ICE scoring to prioritize funnel optimization experiments?▼

ICE scoring is used to prioritize funnel optimization experiments by ranking test hypotheses based on impact, confidence, and ease, ensuring scalable improvements across landing pages and checkout flows.