A/B Testing
A/B testing, also known as split testing, is a marketing experiment in which you divide your audience to test various campaign versions and see which one performs best. In other words, you can show one-half of your audience version A of a piece of marketing content while showing the different half version B. A/B testing eliminates the guesswork in marketing and can lead to the success of specific campaigns or goods. We'll go through the principles of A/B testing, why you should use it, how to avoid A/B testing blunders, and how to use A/B testing in your marketing in this article.
This software is researched and edited by
Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
