Age
Segments your users by their age, as they indicated from within your app.
Segmentation Filters
Braze’s SDK provides you with a powerful arsenal of filters to segment and target your users based off of specific features and attributes. As you can see, you can search or narrow these filters by Filter Category.
Select Categories below to narrow the glossary:
Amplitude Cohorts
Clients who use Amplitude to supplement their segments may import and choose from those cohorts.
App Version Code
App Version Code filters based on your app's version numbers. This filter supports numerical comparisons to target a range of app versions. For example, you can filter using 'below', 'above', and 'equal to' certain app versions. Support for this feature is available with Braze Android SDK v3.6.0 and above, and can be enabled by your Braze account manager.
Background Push Enabled
Segments your users on whether they have enabled background push or not.
Birthday
Segments your users by their birthday, as they indicated from within your app.
Users with a birthday on February 29th will be included in segments including March 1.
City
Segments your users by their last indicated city location.
Clicked Card
Segments your users by whether or not they have clicked a specific card or promotion.
Clicked/Opened Campaign
Segments your users by whether or not they have interacted with a specific campaign.
Clicked/Opened Campaign or Canvas With Tag
Segments your users by whether or not they have interacted with a specific campaign or Canvas with a specific tag.
Clicked/Opened Step
Segments your users by whether or not they have interacted with a specific Canvas step.
Connected to Facebook
Segments your users who have granted Facebook account access within your app.
Connected to Twitter
Segments your users who have granted Twitter account access within your app.
Converted From Campaign
Segments your users by whether or not they have converted on a specific campaign.
Converted From Canvas
Segments your users by whether or not they have converted on a specific Canvas.
Country
Segments your users by their last indicated country location.
Custom Attributes
Determines whether or not a user matches a custom recorded attribute value. (24-hour period)
Timezone:
Company's Time Zone
Custom Event
Determines whether or not a user has performed a specially recorded event.
Example:
Activity completed with property activty_name.
Timezone:
UTC - Calendar Day = 1 calendar day will look at 24-48 hours of user history
Date of Custom Attribute
Segments your users based upon the calendar date of custom attributes. (24-hour period) This filter looks for matches of an indicated day/month but ignores the year. As such, the filter works nicely for anniversary use cases.
Example:
Date of Subscription End Date More than 1 Day Ago = 24 hours ago and up
Timezone:
Time attributes without a time zone will default to midnight UTC (and will be formatted on the dashboard as the equivalent of midnight UTC in company's timezone
Something to keep in mind with these filters is that the less than and more than both include the specific day in the filter. For example: less than 1 day ago is 24 hours and under, and more than 1 day ago is 24 hours and up.
Device Carrier
Segments your users by their device carrier.
Device Count
Segments your users by how many devices they have used your app on.
Device IDFA
Allows you to designate your campaign recipients by IDFA for testing.
Device IDFV
Allows you to designate your campaign recipients by IDFV for testing.
Device Model
Segments your users by their mobile phone’s model version.
Device OS
Segments your users by their mobile phone’s operating system.
Email Address
Allows you to designate your campaign recipients by individual email addresses for testing. This can also be used to send transactional emails to all your users (including unsubscribed) using the "Email Address is not Blank" specifier within the filter.
Email Available
Segments your users by whether or not they have reported their respective email addresses, and if they are subscribed/opted-in to email.
Email Opt-In Date
Segments your users by the date on which they opted into email.
Email Subscription Status
Segments your users by their subscription status for email.
Email Unsubscribed Date
Segments your users by the date on which they unsubscribed from future emails.
Entered Canvas Variation
Segments your users by whether or not they have entered a variation path of a specific Canvas.
External User ID
Allows you to designate your campaign recipients by individual user IDs for testing.
First Did Custom Event
Determines the earliest time that a user has performed a specially recorded event. (24-hour period)
Example:
First Abandoned Cart Less than 1 day ago
Timezone:
Company's Time Zone
First Made Purchase
Segments your users by the earliest recorded time that they have made a purchase in your app. (24-hour period)
Timezone:
UTC
First Name
Segments your users by their first name, as they indicated from within your app.
First Purchase for App
Segments your users by the earliest recorded time that they have bought any item from your app. (24-hour period)
Timezone:
UTC
First Purchased Product
Segments your users by the earliest recorded time that they have bought a specific item from your app (special membership, gift certificate, etc…). (24-hour period)
Timezone:
UTC
First Used App
Segments your users by the earliest recorded time that they opened your app. Note that this will capture the first session they have using a version of your app with the Braze SDK integrated. (24-hour period)
Timezone:
UTC
First Used Specific App
Segments your users by the earliest recorded time that they opened any of your apps within your app group. (24-hour period)
Timezone:
UTC
Gender
Segments your users by gender, as they indicated from within your app.
Hard Bounce
Segment your users by whether or not their email address has hard bounced (i.e. the email address is invalid).
Has App
Segments by whether or not a user has your app.
Has Marked You As Spam
Segments your users by whether or not they have marked your messages as spam.
Has Never Received A Campaign or Canvas Step
Segments your users by whether or not they have received a designated campaign or canvas step.
In Campaign Control Group
Segments your users by whether or not they were in the control group for a specific multivariate campaign.
In Canvas Control Group
Segments your users by whether or not they were in the control group for a specific Canvas.
Install Attribution Ad
Segments your users by the ad that their install was attributed to.
Install Attribution Adgroup
Segments your users by the adgroup that their install was attributed to.
Install Attribution Campaign
Segments your users by the ad campaign that their install was attributed to.
Install Attribution Source
Segments your users by the source that their install was attributed to.
Intelligent Channel
Filters the portion of your audience whose most active channel (the channel which has the highest likelihood of engagement given the user's past three months or activity) is the one you select in the subsequent dropdown (Email, Mobile push, or Web push).
You can also elect to filter by Not Enough Data, which only sends to users who have received messages from at least two of the three available channels in the drop-down but have not had enough distinct channel activity to determine a most engaged channel.
Learn more about this filter here.
_As of the November 2019 product release, 'Most Engaged Channel' has been renamed to 'Intelligent Channel'._
Is Not In Segment
Segments your users by whether or not they are included in an already existing segment.
Language
Segments your users by their preferred language.
Last Did Custom Event
Determines the latest time that a user has performed a specially recorded event. (24-hour period)
Example:
Last Abandoned Cart Less than 1 day ago
Timezone:
Company's Time Zone
Last Engaged With Message
Segments your users by the last time that they have clicked or opened one of your messaging channels (email, in-app, push). (24-hour period)
Timezone:
UTC
Last Enrolled in Any Control Group
Segments your users by the last time that they fell into the control group in a campaign. (24-hour period)
Timezone:
UTC
Last In-App Message Impression
Segments your users by determining the last in-app message impression was received. (24-hour period)
Timezone:
UTC
Last Made Purchase
Segments your users by the most recent time that they have made a purchase in your app. (24-hour period)
Timezone:
UTC
Last Name
Segments your users by their last name, as they indicated from within your app.
Last Purchase for App
Segments your users by the most recent time that they have bought an item from your app. (24-hour period)
Timezone:
UTC
Last Purchased Product
Segments your users by the most recent time that they have bought a specific item from your app (special membership, gift certificate, etc…). (24-hour period)
Timezone:
UTC
Last Received Any Campaign
Segments your users by the last time that they have received a campaign on any messaging channel. (24-hour period)
Timezone:
UTC
Last Received Any Message
Segments your users by determining the last message that was received. (24-hour period)
Example:
Last Received Message Less than 1 Day ago = less than 24 hours ago
Timezone:
Company's Time Zone
Last Received Campaign or Canvas With Tag
Segments your users by when they received a specific campaign or Canvas with a specific tag. (24-hour period)
Timezone:
Company's Time Zone
Last Received Email
Segments your users by the last time that they have received one of your email messages. (24-hour period)
Timezone:
UTC
Last Received Push
Segments your users by the last time that they received one of your push notifications. (24-hour period)
Timezone:
UTC
Last Received SMS
Segments your users by the last time that they have received an SMS. (24-hour period)
Timezone:
UTC
Last Received Specific Campaign
Segments your users by when they last received a specific campaign. (24-hour period)
Timezone:
Company's Time Zone
Last Received Specific Canvas Step
Segments your users by selecting those who received a specific, designated Canvas Step. (24-hour period)
Timezone:
Company's Time Zone
Last Received Webhook
Segments your users by the last time that Braze sent a webhook for that user. (24-hour period)
Timezone:
UTC
Last Used App
Segments your users by the most recent time that they have opened your app. (24-hour period)
Timezone:
UTC
Last Used Specific App
Segments your users by the most recent time that they have opened a specific, designated app. (24-hour period)
Timezone:
UTC
Last Viewed News Feed
Segments your users by the last time that they have visited your app’s news feed interface.
Location Available
Segments your users by whether or not they have reported their locations. In order to use this filter, your app needs to have location tracking integrated.
Median Session Duration
Segments your users by the median length of their sessions in your app.
Money Spent In-App
Segments your users by the amount of money that they have spent in your app.
Most Recent App Version
Segments your users by the latest version of your app that they have used.
Most Recent Location
Segments your users by the last recorded location at which they have used your app.
Most Recent Watch Model
Segments your users by their most recent smartwatch model.
News Feed View Count
Segments your users by the number of times that they have viewed your app’s news feed interface.
Number of Facebook Friends Using App
Segments your users by the number of friends that they have on Facebook that are using your app.
Number of Twitter Followers
Segments your users by the number of followers that they have on Twitter.
Phone Number
Segments your users by their phone number. Only use digits [0-9]. Do not include parenthesis, dashes, etc.
Purchased Product
Segments your users by products purchased in your app.
Push Enabled
Segments your users who have explicitly activated push notifications for any of the apps in your app group. After segmenting with this filter, you will be able to see a breakdown of who is in that segment for Android, iOS, and web in the bottom panel, called Reachable Users.
Push Enabled For App
Segments by whether or not your user has push enabled for your app on their device.
Push Opt-In Date
Segments your users by the date on which they opted into push.
Push Subscription Status
Segments your users by their subscription status for push.
Push Unsubscribed Date
Segments your users by the date on which they unsubscribed from future push notifications.
Random Bucket Number
Segments your users by a randomly assigned number (0 to 9999 inclusive). It can enable the creation of uniformly distributed segments of truly random users for A/B and multivariate testing.
Received Campaign
Segments your users by whether or not they have received a specific campaign.
Received Campaign Variant
Segments your users by which variant of a multivariate campaign they have received.
Received Campaign or Canvas with Tag
Segments your users by whether or not they have received a specific campaign or Canvas with a specific tag.
Received Canvas Step
Segments your users by whether or not they have received a specific Canvas step.
Segment Membership
Allows you to filter based on segment membership anywhere that filters are used (i.e. segments, campaigns, etc) and target multiple different segments within one campaign.
Session Count
Segments your users by the number of sessions they have had in any of your apps within your app group.
Session Count For App
Segments your users by the number of sessions they have had in a specific, designated app.
Subscription Groups
Segments your users by their Subscription Group for email. Archived Groups will not appear and cannot be used.
Total Number of Purchases
Segments your users by how many purchases they have made in your app.
Uninstall Date
Segments your users by the date they uninstalled your app.
Uninstalled
Segments your users by whether they have uninstalled your app.
Update/Imported from CSV
Segments your users based on whether they were a part of a CSV upload or not.
Web Browser
Segments your users by the web browser they use to access your website.
X Custom Event Property in Y Days
Determines whether or not a user has performed a specially recorded event in relation to a specific property between 0 and 50 times in the last specified number of calendar days between 1 and 30. (Calendar Day = 1 calendar day will look at 24-48 hours of user history)
Learn more about X-in-Y behavior here.
Example:
Added to Favorites w/ property "event_name" exactly 0 times in the last 1 calendar day
Timezone:
UTC - To account for all time zones, 1 calendar day will look at 24-28 hours of user history, depending on the time the segment is evaluated; for 2 calendar days, will look at 48-72 hours of user history, etc.
X Custom Event in Y Days
Determines whether or not a user has performed a specially recorded event between 0 and 50 times in the last specified number of calendar days between 1 and 30. (Calendar Day = 1 calendar day will look at 24-48 hours of user history)
Learn more about X-in-Y behavior here.
Example:
Abandoned Cart exactly 0 times in the last 1 calendar day
Timezone:
UTC - To account for all time zones, 1 calendar day will look at 24-28 hours of user history, depending on the time the segment is evaluated; for 2 calendar days, will look at 48-72 hours of user history, etc. - Custom Data
X Money Spent in Last Y Days
Segments your users by the amount of money that they have spent in your app in the last specified number of calendar days between 1 and 30. This amount will only include the sum of the last 50 purchases.
Learn more about X-in-Y behavior here.
X Product Purchased in Last Y Days
Segments your users by the number of times (between 0 and 50) they have bought a specific item from your app in the last specified number of calendar days between 1 and 30 (special membership, gift certificate, etc…).
Learn more about X-in-Y behavior here.
X Purchase Property in Y Days
Segments your users by the number of times a purchase was made in relation to a certain purchase property in the last specified number of calendar days between 1 and 30.
Learn more about X-in-Y behavior here.
X Purchases in Last Y Days
Segments your users by the number of times (between 0 and 50) they have made a purchase in the last specified number of calendar days between 1 and 30.
Learn more about X-in-Y behavior here.
X Sessions in Last Y Days
Segments your users by the number of sessions (between 0 and 50) they have had in your app in the last specified number of calendar days between 1 and 30.
Learn more about X-in-Y behavior here.
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