Difference between revisions of "Visitor Profiler"
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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. | 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. | ||
| − | [[File:mainmenu-visitor-profiler-big.png | + | [[File:mainmenu-visitor-profiler-big.png|1000px]] |
== Overview == | == Overview == | ||
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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. | 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. | ||
| − | [[File:select-date.png | + | [[File:select-date.png|800px]] |
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| − | After that, you can select among the five facilities of this module and press the button "submit" to start a specific analysis | + | |
| + | After that, you can select among the five facilities of this module and press the button "submit" to start a specific analysis. These facilities are described below: | ||
* Typologies by origin (option by default) | * Typologies by origin (option by default) | ||
* Typologies over time | * Typologies over time | ||
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* Focus by typology | * Focus by typology | ||
| + | [[File:select-facility.png|800px]] | ||
== Typologies by origin == | == Typologies by origin == | ||
In this analysis, the distributions of visitor's categories (Loyal, Misplaced, Need-Based, and Wandering) are plotted by means of bar graphs with regards to their origins. The origin can be selected by: Continent, Country or Region, although a filter by region per country/continent is also possible to filter only regions of a given country of interest. Each bar represents a given country which number of visits (for each category) can be observed by moving the mouse over. The complete bar chart can be plotted "Grouped" or "Staked", to see a different perspective of visit distributions. | In this analysis, the distributions of visitor's categories (Loyal, Misplaced, Need-Based, and Wandering) are plotted by means of bar graphs with regards to their origins. The origin can be selected by: Continent, Country or Region, although a filter by region per country/continent is also possible to filter only regions of a given country of interest. Each bar represents a given country which number of visits (for each category) can be observed by moving the mouse over. The complete bar chart can be plotted "Grouped" or "Staked", to see a different perspective of visit distributions. | ||
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| + | [[File:typologies-origin-grouped.png|800px]] | ||
For instance, it can be observed how about 12% of European visitors are Loyal (Figure 2), between 70-75% of Hernani (a city from Basque Country) are Wandering (Figure 3) or more than three quarters of visitors belong to Spain (Figure 4). | For instance, it can be observed how about 12% of European visitors are Loyal (Figure 2), between 70-75% of Hernani (a city from Basque Country) are Wandering (Figure 3) or more than three quarters of visitors belong to Spain (Figure 4). | ||
| − | [[File:typologies-origin-stacked.png | + | [[File:typologies-origin-stacked.png|800px]] |
== Typologies over time == | == 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 figure shows the list of all the created rules for this user. For every rule, there is the following detail information available: | ||
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== Typologies over time % == | == Typologies over time % == | ||
Revision as of 14:45, 7 January 2016
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.
Contents
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. These facilities are described below:
- Typologies by origin (option by default)
- Typologies over time
- Typologies over time %
- Focus by origin
- Focus by typology
Typologies by origin
In this analysis, the distributions of visitor's categories (Loyal, Misplaced, Need-Based, and Wandering) are plotted by means of bar graphs with regards to their origins. The origin can be selected by: Continent, Country or Region, although a filter by region per country/continent is also possible to filter only regions of a given country of interest. Each bar represents a given country which number of visits (for each category) can be observed by moving the mouse over. The complete bar chart can be plotted "Grouped" or "Staked", to see a different perspective of visit distributions.
For instance, it can be observed how about 12% of European visitors are Loyal (Figure 2), between 70-75% of Hernani (a city from Basque Country) are Wandering (Figure 3) or more than three quarters of visitors belong to Spain (Figure 4).
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:
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
