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Tracking Event data definition
Tracking Event data is a feed of interactions between your Customers and your Platform, be that web, mobile or another application such as desktop, Smart-TV or Games Consoles. Unlike the other Distil.ai datasets the Tracking Event data represents a stream of events, rather than a table of data.
The Tracking Event data is a granular page/screen level of time stamped events, such as a Page view, a Customer viewing a Product, or a Customer account being created or signed into. This makes it key for understanding behaviour across your platforms and is used in Distil.ai for predicting the Products that Customers are interested in, understanding who is engaged and who isn’t. As such Tracking Event data drives a number of the Distil.ai Data Enrichments, such as Engagement, RFI/M and Product Recommendations.
Can I access the raw Tracking Event data?
In its raw form it can be very valuable to your business, especially if you have a Business Intelligence or Data Science team. Distil.ai allows you to write your raw Tracking Event data directly to a data warehouse platform where your analysts can start using directly in your business reporting and analytics operations; or even develop your own Distil.ai Customer Enrichment Measures.
Tracking Event data definition
|Attribute Name||Data Type||Required||Description|
|Distil Account Id||Text||Yes||The unique identifier for the Distil.ai Account holder.|
|Event ID||UUID||Yes||Unique event identifier in UUID (GUID) format.|
|Event UTC Timestamp||Yes|
|Event Local Timestamp||Yes|
|Page Data JSON||Text/JSON||Yes||JSON Object that contains details of the Page or Mobile Screen that includes the following attributes:|
TitleFull URL, including query parametersFull referrer URL, including query parameters
|Device Data JSON||Text/JSON||Yes||JSON Object that contains details of the device that caused the event. This could be the web-browser’s user agent string or mobile device type, OS Version and id. |
The following attributes exist in this object:
Device TypeUser Agent StringDevice String
|Customer Data JSON||Text/JSON|
|Product Data JSON||Text/JSON|
|Customer Attributes JSON||Text/JSON|
- Product Recommendations: This enrichment creates unique product recommendations on a Customer by Customer basis. Customer Purchase History is used to understand which of your Products are commonly purchased together, which Products are purchased after each other, as well as excluding Products from the recommendation that a Customer has already purchased.
- Engagement: This enrichment understands your Customers’ engagement with your Platform. From marking those customers who are Churning and those who are Active, to their preferred device and average session length. These measures are calculated using this Tracking Event data set.
- RFI/M: The RFI/M (Recency, Frequency, Intensity and Momentum) enrichment provides a longer term measure of a Customer’s engagement with your business, for example identifying those Customers who may churn, or those who are building up to a significant purchase. These measures are in part based on this Tracking Event data set.