CRO & Experimentation Frameworks
Teach conversion optimization reasoning from first principles: turning evidence into testable hypotheses and reliable experiments.
Control vs Variation
Compare the baseline control experience against test variations in A/B testing frameworks.
Ecommerce CRO Audit Framework
An ecommerce CRO audit is a comprehensive technical and heuristic evaluation of a store's funnel to identify conversion bottlenecks.
CRO (Conversion Rate Optimization)
CRO is the systematic, data-driven methodology of improving storefront user experiences to increase the percentage of visitors who complete desired goals.
A/B Testing & Experimentation
An experiment (A/B test) is a controlled methodology comparing an existing baseline against variation experiences to prove statistical impact.
Conversion Goal
A conversion goal is a specific target action defined in analytics platforms to measure when a user completes a desired activity.
CRO Hypothesis
A CRO hypothesis is a structured, evidence-backed statement connecting observed user friction to a proposed design change and measurable outcome.
CRO Insight
A CRO insight is a data-backed interpretation of user behavior that explains why shoppers experience friction or fail to convert.
CRO Opportunity
A CRO opportunity is an identified area of user friction or high drop-off with strong potential for revenue improvement.
Personalization
Personalization is the practice of dynamically tailoring storefront content, recommendations, and pricing to specific user segments.
Qualitative Research in CRO
Qualitative research collects non-numerical user feedback, session recordings, and surveys to understand why users drop off.
Quantitative Research in CRO
Quantitative research uses numerical data, analytics drop-off funnels, and statistical metrics to identify where users struggle.
CRO Test Plan
A CRO test plan is a comprehensive specification document detailing experiment hypotheses, target audiences, variations, and measurement criteria.