Comparison isn’t always the thief of joy, especially when it comes to email marketing. When’s the right time to hit ‘send’? What subject line should you use? Which image is best? These might seem like small choices, but they are things that email A/B testing can help you figure out.
CustomerOpens in a new window report, nearly two-thirds of customers expect companies to adapt to their changing needs and preferences. Gauging results of an audience with a single email can be difficult. But sending multiple versions of an email – with different subject lines, preview text, copy, calls-to-action, or timing of delivery – can give you a basis for comparison. With A/B testing and the right email marketing tools in place, you get all the valuable data you need to improve your next round of outreach
In this blog, we’ll guide you through how email A/B testing works, including its challenges, best practices, and ways artificial intelligence (AI) can help.
Table of Contents:
What is email A/B testing?
How does email A/B testing work?
What are 4 best practices for email A/B testing?
What are the biggest challenges america phone number list of email A/B testing?
How can email A/B testing increase performance?
How to get started with email A/B testing
How does AI factor into email A/B testing?
What’s ahead for email A/B testing?
What is email A/B testing?
Email A/B testing is a marketing strategy where you provide different versions of a campaign to your audience. The “A” version is displayed to some of your audience, while another subset gets the “B” version. It can be anything from subject lines to body copy to offers to images.