Welcome to Day 9 of our marketing course, today we will be discussing A/B testing and how it can help us make data-driven decisions for growth optimization. We will explore various touchpoints in marketing, such as landing pages, email subject lines, ad copy, and more, where A/B testing can be applied to find the winning version that converts the audience better.

We will cover the process of A/B testing, including research, experimentation, and results measurement. We will also discuss the optimal duration and appropriate sample size for running A/B tests. Additionally, we will introduce the mathematical equation called the t square for determining confidence in A/B testing results.

During the session, we will provide examples of A/B testing on landing pages and product pages. We will also discuss different channels for A/B testing, such as ads, landing pages, and emails.

Finally, we will introduce conversion rate optimization as a closely related topic. By the end of the session, we will have a better understanding of how A/B testing can help us improve our marketing efforts and drive growth for our business.

Timestamps
00:00 Introduction
02:25 A/B Testing Example
08:00 Example 2
14:29 Process of A/b testing

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