STEP 2 Types of analytics

In Synerise we differentiate a few types of analytics described below.


Segmentation allows you to group users on the basis of various criteria, like age, gender, actions on your site, purchase histories, etc. They allow you to properly target your campaigns.

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We will show you how to use segmentation in practise!

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The funnel shows the customer’s journey divided into individual events that follow each other in a particular order. This way you can detect soft spots as you see at which step you lose customers in the process.

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Geoanalytics in Synerise allow you to analyze customers from a specific area that you can dynamically mark on a map. This is helpful when creating segments of people you want to send specific messages to them, based on their specific location

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In metrics we are operating on events or client attributes and analyze the number of times that a specific event has occurred in the system. Thanks to metrics you can also count your KPIs.

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Histograms are a way of mapping the values of a metric. They are used to compare the values of different metrics within specific time intervals. The analysis of the selected metrics will be presented on the chart.

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A report is a visual presentation of data aspects contained in metrics. Each parameter (for example, event parameters, customer attributes or expressions) analyzed in metrics can be presented in reports in different dimensions. The reports present the top and last values (for example, top 10 products added to cart or last 5 bought products). Analytical reports are a basic feature in Business Intelligence-class systems.

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If you want to compare the occurrence of several events over time, you need to create a trend. The analysis of the selected events will be presented on the chart.

Trends will be analyzed with regards to customers or events. In the preview of a trend, you can choose the analysis aspect on the chart.

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Analytics dashboard

All of the analytics described above can be displayed on the dashboard. This helps you better manage and monitor your campaigns. This is where you can select the analytics you want to display on the dashboard.

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It will help you learn more about working with those types of analytics in Synerise!


An aggregate is prepared with the intention of analyzing the actions of an individual customer. The analysis is based on a particular event occurrence (which can be specified by the event parameters) within the defined time range.

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Expressions allow you to create your own indicators based on mathematical formulas or calculations for both clients and events and act as derived attributes. Expressions for events work as event attributes while expressions for customers work as customer attributes.

They can be used as tools to build loyalty programs and award points.

Detailed information:
  • Learn more about expressions
  • Read about types of functions in expressions. They allow you to perform mathematical operations on the values received from customer attributes or events.
Important: You can build your first analyses based on the example templates you can find in the Analytics module in the Synerise app. Just remember that you can’t edit a predefined element, as the set prepared by us serves as a template. To use it, you have to duplicate the template and edit the duplicated version.

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