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Summary / TL:DR: This article outlines the best practices for A/B Testing within a Blueshift Campaign.

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What is A/B Testing?

A/B testing, also known as split testing, is a method used in marketing, product development, and other fields to compare two versions of a web page, app, email, or other content to determine which one performs better. It's a controlled experiment where two variants, A and B, are presented to different segments of your audience. By measuring the response and behavior of users exposed to each variant, you can identify which version leads to more desirable outcomes, such as higher click-through rates, conversions, or engagement.

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Let’s say you would like to send out an email to users within a segment but you would like to send one Subject Line version to 30% of the segment and , one Subject Line another version to 50% and another Subject Line version to the remaining 20%. You can achieve this using the A/B Split feature when building the campaign.

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