conversion-optimization-expert

Funnel optimization identifies friction points by defining goals, establishing baselines, and computing micro-conversions. It audits above-the-fold messaging, CTAs, and form fields to diagnose drop-offs and reduce friction in SaaS, e-commerce, and lead-gen flows.

A/B test design creates rigorous hypotheses and controlled experiments to lift sign-ups. It develops actionable test plans using significance testing and sample-size calculations to measure variant success against baselines.

ICE scoring in conversion rate optimization prioritizes test hypotheses by evaluating impact, confidence, and ease. It ranks potential experiments to maximize conversions efficiently across landing pages and funnels.

Yes, this CRO approach applies to e-commerce checkout flows by auditing social proof, form fields, and pricing optimization. It diagnoses conversion issues and designs data-driven experiments to reduce drop-offs.

Sample-size calculations determine the required traffic volume for an A/B test using the CRO Calculator. This ensures significance testing produces valid, measurable conversion lifts before running controlled experiments.

The best way to optimize a CTA and headline is through data-driven experimentation. It involves auditing above-the-fold messaging, creating test hypotheses, and running controlled A/B tests to achieve measurable conversion lifts.