In this guide, we introduce the main features and data processing steps of Splio CDP.

This platform is meant for you to unite data from various sources, such as:

Your Point of Sales system (PoS), with all purchase data from your brick-and-mortar stores
Your e-commerce platform, for example, Shopify
Other sources such as your Product Information Management (PIM), feedback tools (surveys, forms), and more.

The data can be imported with several methods and is then cleaned to be as usable as possible.

If you have chosen the Identity resolution add-on, the users from your different sources are matched and merged following your business rules.

The data is now ready to be enriched by additional pre-computed attributes, such as RFM segmentation. If you subscribed to the Predictive AI add-on, this is also the moment when the predictive score are calculated.

The data is then stored in our database, Google BigQuery. It is available for several usages.

Firstly, the data is used in the CDP interface, allowing you to use the following features:

Audience creation to count users with various attributes and get analytics
Data Health dashboard to keep track of your data quality and imports
Connection Hub to synchronize your data to other tools
Analytics to monitor your campaign performances and benefit from predictive insights (with the Predictive AI add-on)

The attributes and audiences created with the help of the CDP can be used in your activation tools, like Splio Marketing Automation Loyalty and Mobile Wallets, Meta and Google ads, and more.

At last, you can fetch the data itself from BigQuery to use it in your Business Intelligence tools like Metabase and Power BI, or directly in your information system using an SFTP server or Google Cloud Services.

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🌐 Transform your data into actionable insights and boost your ROI with a Customer Data Platform (CDP) by reading our detailed article and ROI analysis!

Introducing Splio CDP

Introducing Splio CDP