Yous apply the segment builder to configure the individual filters that together establish a segment. You lot then apply segments to your reports and dashboards so you can come across that specific data.
In this article:
Segment-builder user interface
Information scope
How filters are evaluated
Working with Conditions and Sequences
Sessions vs. Count of Sessions
Create new segments
Copy and modify existing segments
Related resource
Segment-builder user interface
Segment architect.
The segment builder lets you create the component filters of a segment based on Analytics dimensions and metrics. Y'all choose a dimension or metric, a comparative operator, and you enter a value to set the condition for the filter. In many cases, y'all can too cull the scope of the data (striking, session, user). For example:
Each filter in a segment has one or more scopes to the data that it defines:
Hit: Beliefs confined to a unmarried action, for example, viewing a page or starting a video.
Session: Behavior within a single session; for example, the goals that users completed during a session, or the amount of revenue they generated during a session.
User: Behavior across all sessions inside the date range you're using, up to 93 days; for example all the goals users completed or all the revenue they generated (across all sessions) during the date range.
Production: Behavior associated with products. Available but when you utilize a product-related metric.
You can cull the scope for some filters; for other filters the scope is fixed. When you can choose the scope, y'all run across one or more menus that offer those choices, for instance:
Conditions filters with data-scope options.
When a filter includes multiple scopes, they work together as in the following examples:
Sessions in which the Acquirement per hit > ten
Users whose Revenue per Session > ten
Users whose Revenue per hit > x
Scopes for filter categories, dimensions, and metrics
Category
Dimension/Metric
Scope
Demographics
Age
User
Gender
User
Language
Session
Affinity Category
User
In-market segment
User
Other Category
User
Location
Session
Engineering
All Dimensions
Session
Behavior
Sessions
User
Days Since Final Session
User
Transactions
Striking/Session/User
Session Duration
Session/User
Date of Kickoff Session
First Session
User
Traffic Sources
All dimensions
Session/User
Enhanced Ecommerce
All dimensions
User
Acquirement (metric)
User + Hit/Session/User
All dimensions & metrics
In addition to Hit/Session/User, you can also apply an overall limit to these filters based on specific shopping activities:
Performed whatsoever activity
Added to cart
Purchased an item
For example: Users who Purchased an item AND whose Revenue was > 10
Product-related metrics
Production
Conditions
All dimensions & metrics
Sessions/Users
Some metrics
Sessions/Users + Hit, Session, User, or Production
Sequences
All dimensions & metrics
Sessions/Users
Note that Campaign Managing director 360 only supports Users scope.
Some metrics
Sessions/Users + Hit, Session, User, or Production
How filters are evaluated
AND weather condition in User filters require that all atmospheric condition are met in a single hit.
AND conditions in Session filters require that all weather condition are met by any combination of hits within the aforementioned session.
Multiple values inside the same dimension are joined with OR logic, for example:
Age: xviii-24 OR Age: 25-34
Data is included if information technology meets either condition.
Multiple dimensions and values within the same category are joined with AND logic, for example:
(Demographics/Age: 18-24) AND (Demographics/Gender: Female)
Data is included when it meets both atmospheric condition.
Multiple metric values inside the aforementioned category are joined with AND logic, for example:
Behavior: Sessions > 1 AND Behavior: Transactions per user > i
Information is included when information technology meets both conditions.
Metric values and dimension values within the same category are joined with AND logic, for instance:
Ecommerce: Revenue per user > 10 AND Ecommerce: Product = T-shirt
Information is included when it meets both conditions.
Filters from multiple categories are joined with AND logic, for example:
Demographics filter AND Technology filter AND Sequences filter
Data is included when it meets all conditions.
Working with Conditions and Sequences
Atmospheric condition and Sequences filters are likewise based on dimensions and metrics, simply they offering some additional options:
Rather than existence restricted to specific categories, they allow yous create filters for any dimension or metric.
They tin can include or exclude specific data.
They can include AND and OR conditions.
When you include user- and session-based rules in the aforementioned filter, those are joined with AND logic. Data is included when it meets both conditions.
Sequences filters let y'all determine whether the sequence begins with the first user interaction or with any user interaction.
When you include multiple steps in a Sequences filter, you can specify that one footstep can follow some other at any fourth dimension or that it must follow immediately. The subsequent stride can occur in the aforementioned session or in a subsequent session.
Sessions vs. Count of Sessions
When you create a segment, you may encounter some confusion around using the Sessions metric in the Behavior department, and using the Count of Sessions dimension in the Conditions section.
While both Sessions and Count of Sessions provide a count of sessions at the user level, they differ in the time frames they embrace:
Sessions is the number of times users initiate sessions during the specific date range you are using for the study; for case, Sessions = 5 or Sessions > five from January 1 to January 15.
Count of Sessions is the number of times users initiate sessions over a lifetime, with the final session in the count occurring during the appointment range you are using for the report (regardless of whether the preceding sessions occurred within that date range); for example: Count of Sessions = five means the users initiated their fifth sessions during the engagement range of the report; Count of Sessions > 5 means the users initiated their 6th or later sessions during the date range of the report.
Create new segments
Review the per-user and per-view limits on segments. Once you reach those limits, y'all cannot create or import additional segments.
Y'all cannot create a segment that has both of the following:
A status based on demographics or interests (e.g., Age, Gender, Affinity Categories)
An Exclude condition based on custom dimensions or custom variables.
If you try to create a segment with both types of conditions, Analytics doesn't permit you preview or create the segment until you lot delete one of them.
If none of your existing segments address the information you want to analyze, then you lot can create new segments and configure them equally broadly or narrowly every bit necessary.
To create a segment:
Sign in to your Analytics business relationship.
Open the View whose data you want to analyze.
Open Reports. Y'all tin starting time with whatsoever report.
Click + Add Segment... Audience Overview written report, + Add Segment highlighted. ...to open the segments list. Segments list.
Click + NEW SEGMENT... Segments list, + NEW SEGMENT highlighted. ...to open up the segment builder. Segment architect.
Enter a proper noun for the segment.
Use the options in the different categories to configure the filters you desire for your segment.
As you add together filters, the Summary pane updates to requite an estimate of how many users and sessions will exist included in the segment. This estimate is based on sampled information, and is not intended to exactly match the number of users or sessions that will exist included when y'all finally apply the segment to your reports.
Summary update every bit you add filters.
When you have finished configuring filters, you lot can preview and exam the segment.
Click Test to encounter the the percent of users and sessions that lucifer your segment filters.
Click Preview to meet how the segment affects the current written report. If yous don't see the information you want in the report, you can continue to edit the segment, and then preview over again. (When you click Preview, the Exam function is automatically invoked.)
When you're satisfied that the segment includes exactly the information yous want, click Relieve to shut the segment builder and employ the segment to your reports.
Re-create and modify existing segments
Existing segments tin can provide a good starting indicate for new segments.
For instance, you lot could start with the organisation segment Sessions with Conversions, make a re-create, then add together boosted filters for things like Land/Territory and Campaign to focus on data about specific countries where sessions with conversions originated, and most specific campaigns that led to sessions with conversions.
To re-create a segment:
Open the segments list, and locate the segment you want to re-create. Segments listing, Sessions with Conversions segment highlighted.
Click Deportment > Copy... Segments list; Sessions with Conversions segment; Action card > Copy command. ...to open the segment builder with the configuration for the current segment: Default filter configuration for Sessions with Conversions segment.
Requite the segment a new proper name.
Edit the existing filters, and/or add new ones. For example: Sessions with Conversions segment modified to include Country/Territory and Campaign filters. In its original configuration, the segment included just sessions in which Goal Completions were greater than zero. With a fiddling modification, the segment at present restricts those sessions to as well include only ones that originated in the United States and that were initiated as a upshot of the Summertime Swimwear campaign.
When you accept finished modifying the original segment, Click Save.
Related resources
Import segments that other users have created from the Analytics Solutions Gallery
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