Master A/B testing to improve your advertising and landing page designs, boosting conversion rates.
Gain confidence in designing and analyzing tests to drive data-backed marketing decisions.
Develop a long-term optimization strategy that adapts to market changes, ensuring sustained campaign success.
This module sets the stage by explaining the basic principles of A/B testing and other testing methodologies. It discusses why testing is crucial, how it drives data-based decisions, and provides an overview of the entire testing process used in campaign optimization. Foundations of Marketing Testing Overview of A/B Testing Significance of Creative Testing
This module covers the theoretical foundations of experimentation including hypothesis setting, statistical significance, and measurement techniques. Drawing on insights from popular works like 'You Should Test That', it explains how to create reliable, valid tests and properly analyze test outcomes. Statistical Fundamentals Formulating Hypotheses and Experimental Design Leveraging Frameworks from Bestselling Books
Participants learn how to set up and deploy A/B tests across various digital channels. This module covers best practices for designing tests on ad elements, headlines, and landing pages. It also provides guidance on how to interpret test outcomes to make informed marketing decisions. Designing Robust A/B Tests Optimizing Ads and Headlines Analyzing and Interpreting Test Data
This module introduces more complex testing strategies including multivariate testing and incremental campaign adjustments. It explains when to use each method and how advanced experimentation can uncover deeper insights. Learners gain a broader toolkit to achieve optimization across diverse campaign elements. Introduction to Multivariate Testing Optimizing Landing Pages Sequential and Iterative Testing Strategies
In this final module, learners review case studies and practical examples that demonstrate the successful application of testing strategies. Emphasis is placed on translating test results into actionable insights for continuous campaign improvement. Strategies for long-term optimization and a roadmap for testing in varied contexts are highlighted. Campaign Optimization Case Studies Data Interpretation for Decision Making Developing a Continuous Testing Roadmap
Real-time Q&A with an AI assistant for personalized guidance.
Interactive lessons that provide instant feedback on your understanding.
Modules designed for practical applications in real campaigns.
Explore advanced methodologies like multivariate testing.
Access to a repository of industry case studies for contextual learning.
Learn effective data interpretation techniques for better decision-making.