Introduction to Enrichment

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This article applies to all paid subscriptions (Customer Data Studio is not available on Free subscriptions).


What is Enrichment?

In its truest sense, data Enrichment is the essence of what Distil does.

Data enrichment is the process of enhancing and refining raw data by adding more relevant and valuable information to it. This can be done by combining data sources, filling in missing data, or enriching the data with additional attributes.

For example, say you want to find out the best day and time to make a special offer to your customers. You would enrich your customer data with information on when they typically make purchases. With this information, you could send targeted communications to your customers just at the right time to encourage them to make a purchase.

Data enrichment can help you improve your marketing ROI by providing more complete and accurate data on customer behaviour and preferences, enabling you to create targeted and personalized campaigns that resonate with your audience and drive better results.

Enrichment in Distil

Distil uses in-built algorithms to automatically enrich your Customer data with Attributes that can be used to build Segments, or forward to your marketing execution platform via Destinations.

These Enrichments can be viewed within Distil within the Customer Data Studio, by selecting Enrichment at the top of the screen. The available Enrichments are listed down the left hand side of the screen, and are described in the other articles in this section. Each Enrichment can be enabled or disabled by using the switch at the top of each Enrichment’s settings screen.

When an Enrichment is enabled a new tab will be created in the Data Panel of the Customer Data Studio screen, containing the Attributes created by that Enrichment. These can then be used to define Views and to build Customer Segments.

It may take a few moments for the Enrichment Attributes to be processed by Distil once they have been configured in the Enrichment settings.

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