🤖Intent-based customer segmentation | Robots predicting shopping behavior (behaviour? what is it?)

🤖Intent-based customer segmentation | Robots predicting shopping behavior (behaviour? what is it?)

Intent-based customer segmentation is a technique of targeting in marketing to predict the outcome of customer segments. For instance, if a customer browses through an eCommerce store, with intent-based customer segmentation, retailers can predict whether they would make a purchase or if they are merely browsing. Imagine that you have a loyalty marketing mobile app for your eCommerce store. Let’s say that your app has 50M+ downloads and has over 100M subscribers to date globally. Now, let’s say you want to launch a viral campaign using targeting in marketing. And maybe your goal is to maximize the signups in the next 30 days. So, let’s imagine that you need to get another 50K signups. First step in achieving this goal? You’d probably bank on intent-based segmentation for eCommerce to identify the audience most likely to meet the goal.
Frequency of user visits Clicks on a specific campaign A user’s most recent visit No. of user transactions in past

So, as you explore various data points and analyze them using targeting in marketing, you can come up with three potential outcomes for this intent-based segmentation:
Most likely segment Moderately likely segment Least likely segment
Investing in the most likely segment would help you to achieve your goal. Here’s an eCommerce Customer Segmentation Guide our team put up, cheers!
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