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

With segments based on Average Order Value (AOV), you can group users based on their average expenditure on your website; this segment is helpful to send targeted messages based on their shopping behavior.

Keep in mind: If you want to create a segment that groups users who follow all the rules you set, you have to click on “all the rules”.

If you select “one or more rules,” the segment will be populated with users that meet at least one rule but not always both.

Clients with an Average Order Value between a set range (ex. 50€-100€; 100€-150€ etc.)

You can create different segments and divide your users based on their average order value. By segmenting in this way, you can refine your targeting strategy.

You could use these segments to send different email marketing contents to various segments, for example, new, more expensive releases newsletter to those with a higher order value and newsletter with discounted products to those with a lower value.

How to create the segment: Create a new segment → Add rule → Conversion→ Value of conversion → “value of conversion is between [add value]

Examples:

  • For the segment of people with a high AOV, send a newsletter with a new seasonal collection, highlighting the trend of the upcoming season. On the other hand, send a newsletter with discounted clothes of the previous season for clients in the segment with a lower AOV.

  • For people with a high AOV, create advertising campaigns highlighting new devices releases. On the other hand, send a promotion newsletter with a discounted mobile phone to people with a lower AOV.

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 exciting segments? Go to the Datatrics Community and share it!

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