customer engagement patterns – such as open rates, click-through rates, and conversion rates – predictive AI can identify the best moments to send emails to individual recipients. Subscribers receive emails according to their preferences, which minimizes email fatigue and enhances engagement and loyalty.
Which brings us to email A/B testing, the strategy where you provide different email versions to your audience to help you figure out which variation performs better. The responses readers take are clear-cut, meaning they choose between two-option reactions or actions, such as opening or not opening an email.
When you use AI to test email subject lines, you can find out which america phone number list one generates higher engagement rates. You’ll also maximize clickthrough rates which will help you fine-tune your messaging – keeping in mind the goal of discovering what works best for a given audience.
One marketer reported how their A/B testing improved 10x using generative AI in email marketing.