The challenge

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Ever-growing advertising costs have challenged both the agency and the e-commerce shop to look out for ways to create more effective paid advertising.

With a good content bank, Publicis identified a challenge for the case:

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• They needed a reliable audience to use for creating a look-a-like within Facebook ads.

The solution

As ABENA has gathered just around 10.000 customers in their database, they knew that they could work with data to increase performance in Facebook ads. However, hiring a data scientist to do complex analyses of their data would not be profitable and worthwhile in the long term.

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In their search for a way to utilize customer data to increase ad performance, they stumbled upon Custimy. The e-commerce optimization tool that gives business, product, and customer insights. Another key selling point for ABENA was the ability to automatically act on those insights by sending advanced segments to ad providers such as Facebook and Google Ads.

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Effectively giving them access to advanced Machine Learning technology for a small e-commerce business.

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As they had access to an AI segmentation engine that creates segments based on behavioral and transactional data, they could use some of these groups of existing customers for a look-a-like in Facebook ads.

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The segments they used were:

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Most Valuable Customers

The customers that are super loyal, have a high average order value, and engage a lot with the e-commerce shop.

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Core Customers

The biggest customer segment. They are customers who have more individual statistics close to the store average customer.

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Altogether they were what will be referred to as the Custimy audience. The other audience that was used was all the website visits Facebook had picked up in the last 180 days.

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