A/B testing is a method where you split your audience to test different variations of a campaign to see which one performs better.
- A statistical model that helps you define the credit assigned to each interaction a visitor takes along their buyer’s journey at your organization.
- A type of marketing experiment where you split your audience to test a number of variations of a campaign to determine which performs better.
- A measure of the likelihood that the difference in conversion rates between a given variation and the baseline is not due to random chance.
- A type of marketing dashboard that helps you measure how well you’re solving for your buyer’s as they progress through their buyer’s journey.
The correct answer is: A type of marketing experiment where you split your audience to test a number of variations of a campaign to determine which performs better.
Explanation: A/B testing, commonly referred to as split testing, is a strategic approach in marketing where two versions of a content piece are presented to two similar-sized audiences. The primary objective is to identify which version resonates more effectively with the audience. This is achieved by changing a single variable in the content and analyzing the performance of each version over a set duration. By doing so, marketers can make informed decisions based on data, ensuring that their content is optimized for the best possible results.
HubSpot Inbound Marketing Lesson: Maximizing ROI With Marketing Attribution and Experimentation