You use the segment builder to configure the individual filters that together constitute a segment. You then apply segments to your reports and dashboards so you can see that specific data.
In this article:
Segment-builder user interface
Data scope
How filters are evaluated
Working with Conditions and Sequences
Sessions vs. Count of Sessions
Create new segments
Copy and modify existing segments
Related resources
Segment-builder user interface
Segment builder.
The segment builder lets you create the component filters of a segment based on Analytics dimensions and metrics. You choose a dimension or metric, a comparative operator, and you enter a value to set the condition for the filter. In many cases, you can also choose the scope of the data (hit, session, user). For example:
Each filter in a segment has one or more scopes to the data that it defines:
Hit: Behavior confined to a single 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 within 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.
Product: Behavior associated with products. Available only when you use a product-related metric.
You can choose the scope for some filters; for other filters the scope is fixed. When you can choose the scope, you see one or more menus that offer those choices, for example:
Conditions filters with data-scope options.
When a filter includes multiple scopes, they work together as in the following examples:
Sessions in which the Revenue per hit > 10
Users whose Revenue per Session > 10
Users whose Revenue per hit > 10
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
Technology
All Dimensions
Session
Behavior
Sessions
User
Days Since Last Session
User
Transactions
Hit/Session/User
Session Duration
Session/User
Date of First Session
First Session
User
Traffic Sources
All dimensions
Session/User
Enhanced Ecommerce
All dimensions
User
Revenue (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 any action
Added to cart
Purchased an item
For example: Users who Purchased an item AND whose Revenue was > 10
Product-related metrics
Product
Conditions
All dimensions & metrics
Sessions/Users
Some metrics
Sessions/Users + Hit, Session, User, or Product
Sequences
All dimensions & metrics
Sessions/Users
Note that Campaign Manager 360 only supports Users scope.
Some metrics
Sessions/Users + Hit, Session, User, or Product
How filters are evaluated
AND conditions in User filters require that all conditions are met in a single hit.
AND conditions in Session filters require that all conditions are met by any combination of hits within the same session.
Multiple values within the same dimension are joined with OR logic, for example:
Age: 18-24 OR Age: 25-34
Data is included if it 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 conditions.
Multiple metric values within the same category are joined with AND logic, for example:
Behavior: Sessions > 1 AND Behavior: Transactions per user > 1
Data is included when it meets both conditions.
Metric values and dimension values within the same category are joined with AND logic, for example:
Ecommerce: Revenue per user > 10 AND Ecommerce: Product = T-shirt
Data 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
Conditions and Sequences filters are also based on dimensions and metrics, but they offer some additional options:
Rather than being restricted to specific categories, they let you create filters for any dimension or metric.
They can include or exclude specific data.
They can include AND and OR conditions.
When you include user- and session-based rules in the same filter, those are joined with AND logic. Data is included when it meets both conditions.
Sequences filters let you 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 step can follow another at any time or that it must follow immediately. The subsequent step can occur in the same 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 section, 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 cover:
Sessions is the number of times users initiate sessions during the specific date range you are using for the report; for example, Sessions = 5 or Sessions > 5 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 date range you are using for the report (regardless of whether the preceding sessions occurred within that date range); for example: Count of Sessions = 5 means the users initiated their 5th sessions during the date 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, you cannot create or import additional segments.
You cannot create a segment that has both of the following:
A condition 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 let you preview or create the segment until you delete one of them.
If none of your existing segments address the data you want to analyze, then you can create new segments and configure them as broadly or narrowly as necessary.
To create a segment:
Sign in to your Analytics account.
Open the View whose data you want to analyze.
Open Reports. You can start with any report.
Click + Add Segment... Audience Overview report, + Add Segment highlighted. ...to open the segments list. Segments list.
Click + NEW SEGMENT... Segments list, + NEW SEGMENT highlighted. ...to open the segment builder. Segment builder.
Enter a name for the segment.
Use the options in the different categories to configure the filters you want for your segment.
As you add filters, the Summary pane updates to give an estimate of how many users and sessions will be included in the segment. This estimate is based on sampled data, and is not intended to exactly match the number of users or sessions that will be included when you finally apply the segment to your reports.
Summary update as you add filters.
When you have finished configuring filters, you can preview and test the segment.
Click Test to see the the percentage of users and sessions that match your segment filters.
Click Preview to see how the segment affects the current report. If you don't see the information you want in the report, you can continue to edit the segment, and then preview again. (When you click Preview, the Test function is automatically invoked.)
When you're satisfied that the segment includes exactly the data you want, click Save to close the segment builder and apply the segment to your reports.
Copy and modify existing segments
Existing segments can provide a good starting point for new segments.
For example, you could start with the system segment Sessions with Conversions, make a copy, and then add additional filters for things like Country/Territory and Campaign to focus on data about specific countries where sessions with conversions originated, and about specific campaigns that led to sessions with conversions.
To copy a segment:
Open the segments list, and locate the segment you want to copy. Segments list, Sessions with Conversions segment highlighted.
Click Actions > Copy... Segments list; Sessions with Conversions segment; Action menu > Copy command. ...to open the segment builder with the configuration for the current segment: Default filter configuration for Sessions with Conversions segment.
Give the segment a new 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 only sessions in which Goal Completions were greater than zero. With a little modification, the segment now restricts those sessions to also include only ones that originated in the United States and that were initiated as a result of the Summer Swimwear campaign.
When you have finished modifying the original segment, Click Save.
Related resources
Import segments that other users have created from the Analytics Solutions Gallery
Manage segments
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