A/B testing in Marketing. (Tamil) Search Analyst Sasikumar Talks
A/B testing, also known as split testing, is a method used in digital marketing to compare two versions of a marketing campaign, website, or app to determine which version performs better. The goal of A/B testing is to improve the performance of a marketing campaign by making data-driven decisions.
A/B testing typically involves creating two versions of a campaign, website, or app, with a single variable changed between the two versions. For example, if you're testing a website, one version may have a different headline, while the other version has the same headline but a different call-to-action button.
The two versions are then randomly shown to a sample of users, and the performance of each version is measured using metrics such as click-through rate, conversion rate, or bounce rate. The version that performs better is then chosen as the winner and used for the entire audience.
A/B testing can be used for a variety of marketing campaigns such as email marketing, social media marketing, and online advertising. It allows marketers to make data-driven decisions on what works and what doesn't work, which can lead to an increase in conversions and revenue.
It's important to note that A/B testing should only be used to test a single variable at a time, so you can understand the specific impact of that change.