Web Analytics and A/B Testing Basics

EDUCBA connects on-page optimization with planning and executing A/B tests. Landing pages, calls to action and conversion measures lead into analytics tools and basic implementation concepts. It suits learners who want to understand how a proposed page change becomes an experiment and why a measurement setup needs checking before its results are used to recommend a new design.

What you will learn

• Explore landing-page and call-to-action tests.
• Plan and execute introductory A/B experiments.
• Connect analytics tracking with conversion measures.

Who this suits

Learners interested in introductory web analytics and experimentation. The page has no formal level label; mixed levels is an editorial classification across concepts and implementation sections.

Before you enroll

A conversion change needs evidence, a useful outcome measure and enough context to interpret it. Case-study gains are not expected results. Check the current version and cost of analytics, testing or page-building tools; older interface examples may need adaptation. Use fictional data for practice, document uncertainty and avoid misleading visitors when applying persuasion or design ideas.

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Put it into practice

Design two versions of an invented call to action. Define a single test question, identify the event to measure and explain how you would check that both variants record it consistently.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

The official page has no formal level label. Mixed levels is an editorial classification. Review older analytics and Blogger examples against current interfaces.

View the curriculum and current access options at Coursera.

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