Email Marketing + Data Science

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Do you know the best time to launch your email marketing campaigns and send digital collateral to your audience? This article shares how MailChimp has been able to utilize data science to enhance their user’s experience and raise the bar in the process of email marketing.

MailChimp’s data science team started with meat-and-potatoes operational analytic problems. For example, we built a bunch of AI models that predict and shut down abusers in the system so that they don’t pollute the reputation of the IP addresses our email goes out on. Our users share IP addresses, so you don’t want one bad user peeing in the water supply.

How did this improve the user experience? The mail that good users send through MailChimp doesn’t go to spam. Nice and simple.

Did the user necessarily notice this UX effort? No, but that’s OK.