In Datatrics, we offer many options to segment your audience. Segments could help you be more efficient in deciding how to allocate your digital ad campaigns budget, and target a specific group of people to personalize your newsletter.

In this article, we give you some advice and share some inspiration on which segments you can create, but more importantly, we will explain how to and why!

With segments based on onsite behavior, you can create groups of users based on whether they are returning visitors, how engaged they are with the shop, and how many items they have liked or visited. We have listed some inspiration in below link:

If you would like to follow up on people who did conversions based on a particular category, product, etc.. We have listed some inspiration in below link:

Datatrics creates predictive values based on behavior. Those values can be used to create segments. Based on those values, you can reduce Ads spent, for example. We have listed some inspiration in below link:

With segments based on the interaction touchpoint, you can group users based on how they interact with a particular touchpoint on your website. You can find inspiration in the below link:

You can create segments based on their UTM sources or referrer. We have listed some inspiration in below link:

It’s possible to create segments based on profile data of users, such as if they are returning or new visitors, if they are a profile coming from a specific source (one of your integration), or if they are known or unknown profiles. We have listed some inspiration in below link:

It’s possible to create segments based on customers' returns, with values such as the number of returns, returns ratio, or returns’ value. We have listed some inspiration in below link:

With segments based on search behavior on the website, you can create groups of users based on what they are looking for and their interests. We have listed some inspiration in below link:

You can create segments based on shopping carts made by visitors by creating rules such as how many products they added to their shopping cart, category or value. We have listed some inspiration in below link:

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