Visitor Profiler

The Visitor Profiler analyses your e-shop’s visitors and categorizes them into a set of predefined groups in order to inform about the composition and behaviour of their visitors and customers. This module is based on the web tracking data that have been previously collected by the Data Collector and Consolidator module. These data is mainly based on the Google Analytics (and also Piwik) digital footprint of the eshop. The digital footprint connection is carried out by means of the ID View (Tracking) code, previously included in the registrarion form.

A registered E-COMPASS cockpit user can navigate through the visitor profiler features by clicking on the “Visitor Profiler” link on the top navigation bar.

Overview

The system classifies visitors into four different types:

• Loyal: Visit more pages than average, they make purchases four times more often than average.
• Need-Based: Low page visits; they are new 75% of the time and often come to the site from Google. Low purchase and stay time ratio.
• Wandering: Stays for quite a long period of time (7 minutes), and visits an amount of pages close to the “Loyal” visitor. However, is usually new (70%) and makes fewer purchases than the “Loyal” visitor.
• Misplaced: Stays in the site for a very short period of time (8 sec) and visits a small amount of pages. They make no transactions at all.

Once you are in the Visitor Profiler page, the first step is to select the time period to analyze, that is, the Start Date and End Date to filter the analyzed data, as shown in the figure at right.

After that, you can select among the five facilities of this module and press the button "submit" to start a specific analysis (see figure at left). These facilities are described below:

• Typologies by origin (option by default)
• Typologies over time
• Typologies over time %
• Focus by origin
• Focus by typology

Typologies over time

The figure shows the list of all the created rules for this user. For every rule, there is the following detail information available:

• The “ID” of the rule to uniquely identify each rule
• The “Rule Type”, as there can be different types of rules
• The “Status” (active/inactive) – indicating whether the rule will be applied or is in suspended state
• The “Details” column shows the parameters, conditions and corresponding action of a specific rule so you can quickly see what the rule does
• The “Result” column can be used to report information back for the operation of some rules.
• The “Actions” column contains three different Icons, which allow the user to delete, edit and change the status (active/inactive) of rules

Typologies over time %

To be able to see and track the history of past email notifications you can find a searchable list, detailing the Rule Type, the content, date and target address of the sent notification below the list of created rules.

Focus by origin

With this diagram you can additionally filter the customers by a location in addition to the visitor clusters

Focus by typology

If selected, you can choose one of the visitor categories and a geographical accuracy to display the distribution of visitor origin within the selected group