The Mapplinks Digital Marketing Show · Rishabh Dev

How to Use A/B Testing to Drive Growth L-9

·23 min·1 clip

It starts with a simple promise: find the winner. The instructor explains that A/B testing is a way to gather data on which version of a message, page, or button converts better, and Swati follows along as the lesson moves from definition to example. The term gets made plain. Marketing touchpoints are laid out one by one, from copy and landing pages to emailers, subject lines, and other places where a user meets the brand, so the idea stays anchored in things people can actually change. Everyday life comes first. A cooking example shows the logic behind the method: change one variable, like temperature or time, see what happens, then change something else and build the learning step by step. That pattern matters. The lesson makes the case that small improvements can stack up over time, so repeated tests can lead to bigger results when the learning compounds. The control stays put. The original version is named as the control, while the new version becomes the variation, and the comparison is framed around which option solves the user's pain point more effectively. The examples stay practical. Green call-to-action buttons, add to bag versus add to cart, and subject lines for email campaigns all show up as testable elements, along with Facebook ad copy and social captions. The page example lands. A VOSS price and NOW price layout is used to show how visible context can influence conversion, and the lesson suggests that removing one element could lead to a different outcome. Scale is part of the math. The amount of data you need is tied to the business and the difficulty of the ask, because a free app and a paid app do not need the same amount of proof before a result starts to look reliable. The lesson stays focused. It keeps returning to the idea that A/B testing is not about random tinkering but about using measured changes to solve customer pain points, improve conversion rates, and support a lean, agile process. The next step is clear. By the end, the course points forward to conversion rate optimization as the broader framework that sits next to A/B testing and gives the learner a place to go after the basic definitions are in place.

As heard by us

A plainspoken A/B testing primer that stays close to practical examples.

Day nine keeps A/B testing grounded in the day to day work that actually gets changed: copy, landing pages, email subject lines, social captions, and ad copy.

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Why you'd press play

You want A/B testing to feel usable, not abstract.

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