
Master every step of the CRO process, get more A/B test winners and become a Conversion Rate Optimization expert
The complete Conversion Rate Optimization course
InstructorRuben de Boer
Master every step of the CRO process, get more A/B test winners and become a Conversion Rate Optimization expert
InstructorRuben de BoerEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This diagram illustrates the complete CRO workflow, connecting optimization research with prioritization, hypothesis testing, and final analysis.
The instructor presents a Google Analytics 4 dashboard showing a detailed landing page analysis report, highlighting key performance metrics such as entrances and engagement rates.
An instructor presents a heatmap visualization overlaid on a website interface, demonstrating how color gradients reveal user attention areas and engagement data.
The instructor demonstrates how to configure site areas and specific page URLs within the conversion optimization platform's A/B testing setup.

The curriculum covers the entire experimentation journey, from initial research and hypothesis prioritization to live tracking and statistical analysis.
Instruction includes technical concepts such as Type I/II errors, MDE calculations, and psychological principles like social proof and scarcity.
Learners can apply concepts through real-world examples and GA4 measurement techniques.
One signal from early 2026 suggests the presentation can feel untidy or lacks a cohesive organizational structure; however, the recent update label does not prove this has been corrected.
One signal from early 2026 suggests the presentation can feel untidy or lacks a cohesive organizational structure; however, this signal predates the displayed course update, and the update label does not prove that these issues were corrected.
The course serves beginners well but shows a mismatch for those seeking SaaS-specific depth or advanced prior knowledge; one signal from early 2026 suggests the material may assume some existing expertise. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.