Basics

1 Introduction

The Filter Engine in Mapp Intelligence enables you to refine your data analysis by applying specific filters to dimensions and metrics. This flexibility allows you to answer targeted questions, for example, analyze the performance of specific campaigns or identify user behavior on your website.

With the Filter Engine, you can narrow down your results to focus on what matters most. Whether you want to filter for visits from a specific device, user segments, or time periods, the system provides a wide range of filter options to help you create relevant insights.

This page explains the basic components of the Filter Engine, including available filters, operators, input methods, and how to group filters using containers. These foundations are important before moving on to more advanced topics like scopes, exclusions, or filter combinations.

Example: In the pages analysis, show only results if the user visited the site via a tablet.

2 Filter criteria

To create a filter in Mapp Intelligence, you first select a filter element — either a dimension or a metric:

• A dimension describes qualitative aspects of user behavior, such as Pages, Device Class, or City.

• A metric reflects quantitative values, such as Page Impressions or Bounces.

Note

Custom figures cannot be used as filter criteria.

In the Filter Engine, these elements are presented as a searchable list. You can browse or search filter elements in two ways:

• Show as list displays all filters in alphabetical order.

• Show as groups organizes them into categories such as Marketing, Navigation, Visitors, or Other

In the selection menu and filter view, dimensions are shown in green and metrics are shown in blue.

3 Operators

Operators define how the filter condition is applied. The available options depend on the type of data. Different types of dimensions and metrics support different sets of operators.

• Available operators for metrics
  Metrics reflect numerical values such as Page Impressions or Bounces. They are often used to apply thresholds or ranges for analysis.

  Operators	Example “Page Impressions”	Result
  equal	Page Impressions equal 5	5
  less than	Page Impressions less than 5	< 5
  greater than	Page Impressions greater than 5	> 5
  between	Page Impressions between 5 and 8	5, 6, 7, 8

• Available operators for time-related dimensions
  These dimensions refer to specific times or dates, such as Minutes, Hours, Days, or Weekdays. They allow you to isolate activity within certain time windows.

  Operators	Example “Hours”	Result
  equal	Hours equal 5	5
  before	Hours before 5	< 5
  after	Hours after 5	> 5
  between	Hours between 5 and 8	5, 6, 7, 8

• Available operators for User-dimensions
  User-based dimensions describe the overall behavior of an individual user across all visits, such as User - Visits or User - Page Impressions.

  Operators	Example “User - Visits”	Result
  equal	User - Visits equal 5	5
  less than	User - Visits less than 5	< 5
  greater than	User - Visits greater than 5	> 5
  between	User - Visits between 5 and 8	5, 6, 7, 8

• Available operators for all other dimensions
  This group includes typical categorical filters, such as Page, City, or Device Class. You can include or exclude specific values.

  Operators	Example “Pages”	Result
  equal	Pages equal “home”	home
  not equal	Pages not equal “home”	≠ home

4 Search input

Depending on the selected element (dimension or metric), values can be entered in different ways:

• Free text field: Available for most dimensions and metrics. You can enter the value manually.

  • For dimensions, suggestions may appear (up to 8 values previously tracked with your login).
    

  • Dimensions also support placeholders (*) to replace one or more characters.
    The examples below show how the * placeholder behaves when filtering the Pages dimension using the equal operator.

    Search Input Example	What the filter returns
    *	All pages
    *home	All pages ending with “home” (e.g., mobile.home)
    *home*	All pages containing “home” (e.g., mobile.home, mobile.home.error)

• Drop-down input:

  • Available for selected dimensions (e.g. Weekdays, Segments)

  • Only one value can be selected at a time

  

5 Containers

Filters can be grouped into containers.

• Each container acts as a unit and will later be assigned a scope, defining whether it applies per action, page, visit, or visitor.

• Containers are essential when combining multiple filters, especially with logical links like AND, OR, or THEN.

Details on scopes and filter combinations are explained on the page Filter Scopes.