1. General Information

1.1 General remarks

• Browser
  For the best possible performance, please use a current browser version.
  Ad blockers should be deactivated because otherwise problems can occur when trying to log in.
  Parallel usage of Mapp Intelligence in multiple tabs is only possible in the „private“ or „incognito“ mode of your browser.
• Updates
  The Mapp Intelligence system is subject to ongoing optimization and further development. Updates are installed automatically. An overview of recent adaptions can be found at “Release Notes”. Register for the newsletter to stay updated.
  
• Data Updates
  Analysis data is usually updated every 60 minutes. The exact point of time of the last update is shown below the analysis.
• Automatic Logout
  Automatic logout takes place after 30 minutes of inactivity.

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1.2 Top Navigation

At „My Profile“ the user can set the language for the user interface, choose the number format and change the password.

Changing the language does not have an effect on custom elements, e.g., custom metrics, custom formulas, categories and parameters.

 

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1.3 Structure of the main menu

Mapp Intelligence distinguishes between analyses and reports.

 

Information on reports can be found in the training chapter User Interface 1.1 – Custom Reports.

Analyses are structured into different categories within the main menu:

• Visitors: time-related dimensions (e.g. day, week), geography and technology
• Marketing: Referrers, search phrases and campaign analyses
• Navigation: Pages and content groups, usage of links, forms and funnels
• E-Commerce: Website goals, products and orders
• Video Analytics: (optional) analysis of videos

A presentation of important analyses can be found in the training chapter Analyses 1 – Analyses overview.

 

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2. Analyses View

This chapter describes all settings that can be changed in an analysis.

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2.1 Analysis period

By default, the last 28 days are used as analysis period.

• Using the calendar you can adapt the analysis period.
  
• The selected time frame is highlighted in grey.

Fixed time period

By clicking on a day, two days or on a calendar week a fixed time
period can be chosen.

Dynamic time period

Dynamic time periods can be chosen from the drop down menu.
They are are called “dynamic“ because the resulting time period
depends on the current date.

 

Changes to the analysis period are taken over for all succeeding analyses.

 

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2.2 Quick calculation mode

The computation of analyses can be accelerated if only a part of the data is used for the calculation.  This method is called „sampling“.

Determine which amount of data is used for the analysis. 20% is pre-set.

• Random users are selected for each calculation. Therefore, the shown data can change when reloading the analysis.
• Reports and exports are always calculated on the basis of all visitors.

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2.3 Metrics in an analysis

Each analysis includes predefined metrics and formulas. They can be changed and substituted.

• Each adaption that you make is only saved temporarily.
• As soon as you log out or call another account, the default settings are used again.
  For a longterm storage of the adjustments you must save your analysis (see Section 2.8).

You can find a video on this topic.

 

2.3.1 Adding metrics and formulas

To add metrics and formulas to an analysis, proceed as follows:

1. Click on „Add metric“.
   

2. Choose the metrics in the group or list view.
   
   
   
   You can search for metric in the list view as well as in the group view.

3. Accept the configuration by clicking „Apply“.
   

 

2.3.2 Removing metrics and formulas

To remove a metric or formula from an analysis, proceed as follows:

1. Right-click on the name of the metric to open the context menu.
2. Click on „Remove metric“.
   

2.3.3 Sorting and order

Dimensions and metrics can be sorted in increasing or decreasing order using the context menu.
An arrow shows the current sorting.

 

The order of the dimensions and metrics in the data table can be adapted via drag&drop using the mouse (click on the name of the corresponding metric or dimension).

 

2.3.4 Resetting Analyses

All adaptions made in an analyses are saved temporarily.
If you need to go back to the standard configuration, you have the following options:

• Reloading the analysis in the browser (e.g. by pressing „F5“)
• Logging out and logging in again
• Choosing another account and switching back to the desired account for analysis.

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2.4 Analysis variants

There are different variants in which an analysis can be shown.

• List
• Time Series
• Comparison
• Path
• Cross Table

 

2.4.1 List

"List" shows the analysis of a single dimension.

 

2.4.2 Time Series

The Time series view shows the development of chosen dimension values over time.

You can find a video on this topic.

 

Activating the Time series view

1. In an analysis click on the Time series symbol. Only available with non-time-dimensions.
   
2. Click on the time series.
   
3. Finish the configuration by clicking on „Apply“.

 

Editing the Time series view

To edit the Time series, click on „Edit configuration“.

 

Generally, at maximum 15 columns can be shown in Mapp Intelligence. A configuration which exceeds this limit (i.e., 5 elements of a dimension and 4 metrics = 20 columns) is not possible.

2.4.3 Comparison

Comparison is one of the most important functions as it shows varying trends of different metrics and formulas.

It is possible to analyze time periods and segments (i.e., saved groups of users, as new customers or regular customers).

 

Only elements that were measured within the comparison reference are compared.
In the example, these are only the pages that were visited in the time period from Feb 25 to Mar 03 (=last week).

 

 The comparison figure shows the percentage difference of the metric values.

 

• Calculation: Comparison = ((Figure left column / Figure right column) -1) * 100

 

Up to three elements (e.g., last week, week before the last week, last week in the previous year) and 5 metrics or formulas can be compared.

When using a time comparison, the comparison period uses the same number of days as the comparison reference.
Only similar weekdays are considered.

Example for automatically chosen comparison periods:

 

If the current day is chosen as comparison reference, the corresponding compared day is compared only up to the time for which data is available at the current day.

 

 

As an alternative, time periods can be set manually.
Choose a dynamic time period in the calendar to improve readability of your analysis (e.g., „yesterday“ instead of „May 27th“).

 

For a clear arrangement, single elements can be hidden.

 

2.4.4 Path

The Path view shows the order in which elements were viewed.

This view consists of a clickable diagram that allows for an aggregated, interactive evaluation, as well as of a data table that shows all paths that were tracked.

The diagram shows only paths that are also shown in the data table.

• Paths can be limited to a page, a visit or the analysis period.
• Within a path always exactly one dimension can be used.

 

Activating the Path view

1. In an analysis, click on the path symbol.
   
2. Configure the path.
   
3. Click on „Apply“.
   

2.4.5 Cross Table

The Cross Table allows to combine two dimensions in one analysis.

• When combining the dimension and the crossed dimension, always the smallest common scope is used.
• You can use a maximum of 60 elements of the crossed dimension. This corresponds to the maximum number of columns that you can add.

 

Activating the Cross Table View

1. Click on the Cross Table symbol in an analysis.
   

2. Configure the Cross Table.
   

3. Click on „Apply“.

 

Sorting in the Cross Table view

Depending on the chosen dimensions, different kinds of sorting can be applied.
For each kind of sorting, you can sort ascending or descending.

1. Sorting by the dimension (only for some dimensions, e.g., Weekdays)
   Example: Do you want the analysis to start with Monday or Sunday?
   
2. Sorting by metric values
   Example: Do you want the analysis to show the hours with the highest or least number of Page Impressions across all weekdays?
   

3. Sorting by the crossed dimension (only for some dimension, e.g., Hours)
   Example: Do you want the analysis to start with Hour 0 or Hour 23?
   

 

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2.5 Multidimensional Analyses (Pivot table)

By adding one or more dimensions, a pivot table can be created.
This way, complex questions can be answered by using an analysis.

Hierarchy view and list view is supported.

• Hierarchy view:
  

• List view:
  

 

Creating a Pivot table

To create a Pivot table add at least one other dimension to the analysis.

Switch between hierarchy and list view by using the respective buttons.

In the hierarchy view dimensions can be sorted using drag & drop.

Dimensions can be removed with the help of the context menu.

Using the icon it is possible to adjust the row limit in the hierarchy view.

The number shown for the upper dimension element shows the unique total number of metric values for all elements on the levels below (also in the case where not all elements are shown).

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2.6 Diagram, Visualization and Readability

2.6.1 Diagram, Visualization and Readability

The diagram is structurally divided into three parts:

A metric or formula can be displayed on the primary axis (left) or the secondary axis (right).

The metric or formula can be added or removed from the diagram by right-clicking on the name in the table or by right-clicking on a data point in the diagram.

 

You can choose between different types of diagrams:

 

2.6.2 Visualization in the data table

You also can visualize metrics and formulas in the data table.
This way, you can analyse data faster and it is easier to spot differences.

There are different visualizations available:

• The traffic light uses three different colours (red, orange, green). The heatmap uses five colours (from light blue to dark blue).
• The visualization can be configured in the context menu.
  

 

The visualization of metrics and formulas is not available in multidimensional analyses.

 

Colouring of traffic light in an heatmap is done automatically on the basis of the shown values, but it also can be adapted manually.

• The „target value“ defines whether a high value (max) or a low value (min) is considered to be good. The best values are shown in green (traffic light) or dark blue (heatmap), respectively.
• Automatic Colouring
  
  To determine the threshold values, the highest and lowest values shown are used.
  The range of values is divided into three (traffic light) or five (heatmap) parts,
  respectively.
  
  

  Example: Traffic light with target value „min“
  

• Manually chosen colouring
  
  You also can choose the colouring manually.
  The value range is divided into three (traffic light) or five (heatmap) parts, respectively.
  

  

 

2.6.3 Rows shown in an analysis

 

2.6.4 Enumeration

Rows in the data table can be enumerated.

It is not available in multidimensional analyses (pivot tables).

It has to be activated separately for each analysis.

 

2.6.5 Footer

The „Total“ footer shows the uniquely calculated aggregated value for each metric.

The „Total“ value for formulas is calculated using the uniquely calculated values of the underlying metrics.

In the example, a visitor that was tracked in each week, would only be counted as one visitor in the „Total“ row.

In the analysis variant „Time Series“ the footer is not available.

 

2.6.6 Full-Screen Mode

If the Full Screen Mode is activated, the main menu and the top navigation are hidden.

 

• To (de-)activate the full-screen mode click on the arrow symbol next to the analysis path.
  

 

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2.7 Filter

You can filter a whole analysis, as well as single metrics and formulas.

 

2.7.1 Filtering Analyses

Analyses can be filtered using the quick search or filter function.

 

Quick Search: Only certain elements of the dimension are shown.

Example:   In the Search Engine analysis, show only Google Search Engines.

The search input is provided either as a free text or drop down field.

 

• Free text field
  In most analyses the search keyword is entered into a free text field.
  
  • Suggestion function
    
    Maximum of 8 suggestions
    Only data is recommened that has been shown previously with this login.
  • Placeholder
    
    With placeholders (*) any strings can be replaced.
    Multiple placeholders are allowed.

• Drop-down input
  
  A drop-down field is available for several dimensions (e.g., Weekdays, Segments).

 

In multidimensional analyses, the quick search relates to the first dimension.

 

The filter function allows for filtering all available dimensions and metrics.

Example: Show only Google search engines if a tablet was used within the same visit

Detailed information on the filter function can be found in the training chapter User Interface 1.3 - Segmentation and Filter Options.

 

Using the drill down, selected dimensions of an analysis can be adopted as filters for a follow-up analysis.

Multiple elements can be selected at the same time

Example: In the New vs. Returning-Analysis new visitors are selected and a drill-down to the Pages Analysis is made.

1. Highlight the dimension elements with the mouse.
   Only necessary if more than one element is chosen.
   

2. Right-click for drill-down and choosing the follow-up analysis.

3. Output of the filtered analysis

    

   Please note that the filter is saved for the time of your Mapp Intelligence session. If you want to remove the filter, reload your browser.

   
   
   

    

2.7.2 Filtering metrics and formulas

In the context menu („Configure Metric“) it is possible to adjust every metric and formula individually.

 

Detailed information on configuration of metrics can be found in the training chapter User Interface 1.4 - Custom Figures.

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2.8 Saving Analyses

Analyses can be saved at „My analyses“ or as a report.

The following table shows the different functions when saving an analysis at „My analyses“
or as a report element.

 

Detailed information on Reports can be found in the training document User Interface 1.1 – Custom Reports.

At „My Analyses“, analyses can be saved permanently for a user.

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2.9 Export

Analyses can bed downloaded or sent via e-mail as Excel, PDF or CSV file.

• Exports always use 100 percent of the data – even if the quick calculation mode was used.
• Only PDF files include diagrams and visualizations of metrics and formulas.
• The number of rows that can be exported depends on the individual contract.

 

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2.10 Help

Help is available at the following points:

 

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