With Datatrics’ Audience section, you can create segments for your advertising campaigns or remarketing strategy.

For example, the customers who often return their goods do not only cost you a lot of money due to shipping, but you also spend ad money. With segments based on returns, you can target those people and keep them out of your segmentation group for remarketing.

Options:

  • Number of returns

  • Return ratio

  • Return value

Customers who return more than three products in the last 90 days

How to: Returns → Condition: Number of returns → Attributes: products → Modifier: is greater than → Value: 3 → + PERIOD: (90) days

You can also target conversions instead of products. So you can track the number of conversions that are returned.

Customers with a high amount of return value in the past 90 days

It’s also possible to create a segment with the value of the returns; if there is a high return value, it will cost you a lot of time and money so you could exclude them from your targeting. If you create a segment based on customers with a low return value, you can be more specific in your retargeting campaigns, and you know those people do not return often. The amount can be different for everyone. You can set the value based on your preferences and estimations.

How to: Returns → Condition: Returns value → Modifier: is less than → Value: 20 → + PERIOD: (90) days

Examples of benefits of these segments:

  • Reduce ad costs.

  • Show people with a high amount of returns something about the environment. To make them aware.

  • You can send an email instead of using them for ads

  • You can personalize the content on your website based on returns. Don’t show them that there is free shipping, for example.

ADDITIONAL RESOURCES:

As you can read in this article, there are many different possibilities to create relevant segments in Datatrics. Hopefully, you've been inspired to get started segmenting your targeting groups! Do you have any questions, or do you have ideas for interesting segments? Go to the Datatrics Community and share it!

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