Medallia Journey Analytics provides an end-to-end Behavioral Analytics solution that tracks, enriches and stores your events. You can then use the Medallia Journey Analytics web interface to easily generate insights from these events.
Getting Started with Behavioral Analytics
Three easy steps will get you started generating user behavior insights on your own:
Within a couple of hours you’ll start getting events in the Dashboard and can query them in the Medallia Journey Analytics interface or database!
What Are Behavioral Analytics?
Behavioral analytics observe the user and the user’s behavior over time and show a sequence of events performed by users. This is also called a funnel of events – which is a sequence of specific events that occur in a specific order.
Medallia Journey Analytics is a complete behavioral analytics data analysis platform that connects all your event data from all your data points. It unifies data from a multitude of external and internal sources and inspects it as a single unit, thus facilitating time‑series behavior analysis that yields behavioral insights.
Medallia Journey Analytics provides behavioral analytics widgets and behavior query language (CQL) to make advanced behavioral analysis easy.
How Do Behavioral Analytics Differ from Regular Analytics?
Basic analytics (such as in KPI reports) differ from behavioral analytics in that regular analytics typically display quantitative reports that count data. For example:
- Count 1 – How many people were leads?
- Count 2 – How many people received sales calls?
- Count 3 – How many people made a purchase?
Regular analytics display discrete (distinct) values, meaning that the total quantity of Counts 1, 2 and 3, regardless of their relationship to each other. This means that Count 1 shows the total number of people who were leads, Count 2 shows the total number of people to which home sales calls were made and Count 3 shows the total number of people who made a purchase, regardless of whether they were a lead and regardless of whether a sales call was made to them.
In a Behavioral Analytics report, Count 1 is the same as in the KPI report; however, Count 2 is a subset of Count 1, meaning that it represents the quantity of people who were leads and to whom sales calls were made, and Count 3 is a subset of Count 2, meaning that it represents the people who were leads, to whom sales calls were made and who made a purchase.