Use Predictive Segmentation to Target Top Customers

Mailchimp's predictive segmentation helps you target your top customers right from your audience dashboard. This tutorial will show you how to use powerful AI insights, such as customer lifetime value and purchase likelihood, to send the right message to custom segments with a targeted email, ad, or postcard.

For more information, check out our guides and tutorials.:

Important Sections:
0:00 Intro
1:09 Selecting an Audience
1:29 How Predicted Segments Differ from Pre-Built Segments
2:14 Overview of Predicted Demographics
3:12 E-commerce Segments: CLV and Purchase Likelihood
4:35 Set up a Campaign with Predictive Segmentation
5:38 How Mailchimp AI Makes Data Predictions
6:49 Fine-Tune Targeting

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About Mailchimp:
Mailchimp is an email and marketing automations platform for growing businesses. We empower millions of customers around the world to start and grow their businesses with world-class marketing technology, award-winning customer support, and inspiring content. Mailchimp puts data-backed recommendations at the heart of your marketing, so you can find and engage customers across email, social media, landing pages, and advertising—automatically and with the power of AI.

[ariela_]

Is there a way to get around adding a specific address? Can I just put the city and state I live in instead of my actual address?

[gardenpots]

The one reason why I didn't continue on with Mailchimp, after their 90 trail period, was because of their use of AI in their customer chatbot feature. It was basically 'useless' for anything but standard questions to formulated answers. It provided me with the same standard non-response, which drove me away and this was incredibly frustrating; then overall, there was no way to actually contact Mailchimp properly to get a proper answer to my simple question without paying for an overpriced subscription. I have a PhD in English language studies and teach languages. So Mailchimp's use of AI didn't win for them, from my perspective. AI will stereotype your customers and your responses to them, that's all. It can also be seen as a lazy way to get to know your customers, that will win sometimes. It's the same old numbers game.