Comparison isn’t always the thief of joy. 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.
According to our State of the Connected Customer 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 email A/B testing, 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.
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