A/B Testing

« Back to Glossary Index

A/B Testing, or split testing, is a method used in marketing and experimentation to compare two versions of a webpage, email, advertisement, or other content to determine which one performs better. In A/B testing, two variants, usually denoted as “A” and “B,” are shown to separate groups of users in order to measure their responses and identify which variant produces more desirable outcomes.

The purpose of A/B testing is to optimize and improve various elements of marketing materials, such as headlines, images, call-to-action buttons, layout, and copywriting, based on quantifiable data and user behavior. By systematically comparing different versions and analyzing the results, marketers can make informed decisions that lead to enhanced conversion rates, engagement, and overall campaign success.


ABM Effectiveness

Get complete, accurate contact & account data to drive ABM engagement

« Back to Glossary Index


DealSignal provides fresh, accurate, verified B2B data that helps sales & marketing teams maximize their efficiency and performance and drive more revenue.

You may also like

TAM Analysis CEOs in the US

TAM analysis: CEOs in the US

Accurately targeting CEOs and Founders on LinkedIn has never been more crucial—and challenging. This insightful report meticulously filters LinkedIn’s vast pool of professionals, ensuring you

Read More »

B2B Contact Quantity Calculator

Determine the number of contacts you’ll need for sales outreach and/or marketing campaigns. More importantly, see how data quality will impact your performance and total data acquisition cost.

Read More »