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Default Segments

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Categorizing users based on their behaviors and characteristics is pivotal for effective audience targeting and personalization strategies. Lytics audience segmentation offers a powerful tool for organizing users into meaningful groups based on shared attributes or behaviors. This section provides a comprehensive overview of all audience segments that are provided out-of-the-box.

Available Segments (Audiences)

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Lytics audience segments apply predefined rules to each user profile as they update. Membership in these segments is maintained in real-time and can trigger subsequent actions when users enter or exit the segment.

The following audience segments are all available out of the box, with no customization necessary in all Lytics pricing tiers.


NameSlugDescriptionDefinition
AllallYour entire user base, both anonymous and known.FILTER *
Anonymous Profiles - 30 daysanonymous_profiles_30_daysAnonymous profiles older than 30 daysFILTER AND ( _modified <= "now-30d", _num_aliases = 1, EXISTS '_uids' ) FROM user ALIAS anonymous_profiles_30_days
Anonymous Profiles - 60 daysanonymous_profiles_60_daysAnonymous profiles older than 60 daysFILTER AND ( _modified <= "now-60d", _num_aliases = 1, EXISTS '_uids' ) FROM user ALIAS anonymous_profiles_60_days
Anonymous Profiles - 90 daysanonymous_profiles_90_daysAnonymous profiles older than 90 daysFILTER AND ( _modified <= "now-90d", _num_aliases = 1, EXISTS '_uids' ) FROM user ALIAS anonymous_profiles_90_days
Anonymous Profilesanonymous_profilesAnonymous ProfilesFILTER AND ( _num_aliases = 1, EXISTS '_uids' ) FROM user ALIAS default_anon_seg
Connected Customersconnected_customer_segmentConnected Customer Segment: Users who are active on 2 or more channelsFILTER _forceinvalidsegmentfield = 1 FROM user ALIAS connected_customer_segment
Unhealthy Profilesdefault_unhealthy_profilesAny user profile that is in an unhealthy state. Commonly caused by merge conflicts such as rules which conflict.FILTER _profile_processing_failure = true FROM user ALIAS default_unhealthy_profiles
Behavior: At Risk Usersly_at_riskPeople who's interaction behavior is changing for the worse.FILTER AND (score_momentum >= 10, score_momentum <= 30)
Behavior: Binge Usersly_binge_userPeople who show a lot of activity when they do interact with your brand.FILTER AND (score_frequency <= 20, score_intensity >= 50)
Engagement: Casual Visitorsly_casual_visitorPeople who show little activity when they do interact with your brand.FILTER score_intensity < 25
Engagement: Deeply Engaged Usersly_deeply_engaged_usersPeople who show a lot of activity when they do interact with your brand.FILTER score_intensity > 75
Engagement: First-time Visitorsly_first_time_visitorPeople who are visited from the first time.FILTER visitct = 1
Behavior: Frequent Usersly_frequent_userPeople consistently interacting with your brand.FILTER score_frequency > 65
Campaign Referral Interactions: Emailly_from_emailPeople referred from email.FILTER utm_mediums INTERSECTS ( "email" )
Campaign Referral Interactions: Paidly_from_paidPeople referred from paid media.FILTER utm_mediums INTERSECTS ( "cpc", "ppc" )
Campaign Referral Interactions: Socially_from_socialPeople referred from social media.FILTER utm_mediums INTERSECTS ( "social", "twitter", "facebook", "pinterest", "instagram" )
Web Activity: Has Visited Mobile Webly_has_visited_mobile_webPeople who have visited on mobile web.FILTER EXISTS is_mobile
Web Activity: Has Visited Webly_has_visited_webPeople who have visited on web.FILTER channels INTERSECTS ( "web" )
Behavior: Infrequent Usersly_infrequent_userPeople not interacting with your brand.FILTER score_frequency < 35
Location: International Visitorsly_international_visitorPeople who have visited outside the US.FILTER AND ( EXISTS visit_country, visit_country NOT IN ("US") )
Email Capture Status: Known Emailly_known_emailPeople who have a known email address.FILTER EXISTS email
Engagement: Moderately Engaged Visitorsly_moderately_engaged_visitorPeople who show average activity when they do interact with your brand.FILTER AND (score_intensity > 24, score_intensity < 76)
Behavior: Moderately Frequent Usersly_moderately_frequent_userPeople occasionally interacting with your brand.FILTER AND (score_frequency > 34, score_frequency < 76)
Web Activity: Multi Session Visitorly_multi_session_visitorPeople who have visited multiple times.FILTER visitct > 1
Behavior: Perusersly_peruserPeople who visit often but rarely interact deeply with your brand.FILTER AND (score_frequency >= 70, score_intensity <= 20)
Engagement: Repeat Visitorsly_repeat_visitorPeople who have visited multiple times.FILTER visitct > 1
Casual Visitorsly_reporting_casual_visitorsPeople who show little activity when they do interact with your brand.FILTER score_intensity < 25
Deeply Engaged Usersly_reporting_deeply_engaged_usersPeople who show a lot of activity when they do interact with your brand.FILTER score_intensity > 75
Frequent Usersly_reporting_frequent_usersPeople who interact with your brand a lot.FILTER score_frequency > 65
Emailly_reporting_from_emailPeople referred from email.FILTER utm_mediums intersects ( "email" )
Facebookly_reporting_from_facebookPeople referred from Facebook.FILTER utm_sources intersects ("Facebook", "facebook")
Googlely_reporting_from_googlePeople referred from Google search.FILTER utm_sources intersects ("Google", "Google Search", "Google Ads", "gads", "google", "google-search")
Paidly_reporting_from_paidPeople referred from paid media.FILTER utm_mediums intersects ( "cpc", "ppc" )
Socially_reporting_from_socialPeople referred from social media.FILTER utm_mediums intersects ( "social", "twitter", "facebook", "pinterest", "instagram" )
Has Visited Mobile Webly_reporting_has_visited_mobile_webPeople who have visited on mobile web.FILTER EXISTS is_mobile
Has Visited Webly_reporting_has_visited_webPeople who have visited on web.FILTER channels INTERSECTS ( "web" )
Infrequent Usersly_reporting_infrequent_usersPeople who interact with your brand occasionally.FILTER score_frequency < 35
Last Visit Within 3 Monthsly_reporting_last_visit_within_3_monthsPeople who have visited within the last 3 months.FILTER lastvisit_ts > "now-3M"
Last Visit Within A Dayly_reporting_last_visit_within_dayPeople who have visited within the last day.FILTER lastvisit_ts > "now-1d"
Last Visit Within A Monthly_reporting_last_visit_within_monthPeople who have visited within the last month.FILTER lastvisit_ts > "now-1M"
Last Visit Within A Weekly_reporting_last_visit_within_weekPeople who have visited within the last week.FILTER lastvisit_ts > "now-1w"
Multi Session Visitorly_reporting_multi_session_visitorPeople who have visited multiple times.FILTER visitct > 1
Single Page Visitorly_reporting_single_page_visitorPeople who have only visited one time.FILTER pageviewct = 1
Web Activity: Single Page Visitorly_single_page_visitorPeople who have only visited one time.FILTER pageviewct = 1
Email Capture Status: Unknown Emailly_unknown_emailPeople who do not have a known email address.FILTER NOT EXISTS email
Location: US Visitorsly_us_visitorPeople who have visited from the US.FILTER visit_country IN ("US")
Browser / OS: Androidly_uses_androidPeople who have used Android.FILTER devices INTERSECTS ( "Android" )
Browser / OS: Desktoply_uses_desktopPeople who used a desktop.FILTER devices INTERSECTS ( "desktop" )
Browser / OS: iOSly_uses_iosPeople who have used iOS.FILTER devices INTERSECTS ( "IOS" )
Browser / OS: Mobilely_uses_mobilePeople who have used a mobile device.FILTER devices INTERSECTS ( "Android", "Blackberry", "IOS", "WinMobile" )
Browser / OS: Otherly_uses_otherPeople who have used other devices.FILTER devices INTERSECTS ( "Blackberry", "WinMobile", "other" )
Lytics Currently Engagedsmt_activeUsers who are currently engaging with your brand.FILTER AND ( score_momentum > 10, EXISTS score_momentum, _created < "now-1w", NOT AND ( score_frequency <= 5, score_intensity == 0, score_momentum == 0, score_quantity <= 3 ), NOT AND ( score_quantity >= 50, score_frequency >= 50, score_intensity >= 25, score_momentum >= 40 ) ) FROM user
Lytics Disengagedsmt_dormantUsers who show minimal or no activity for a prolonged period of time.FILTER AND ( AND ( score_frequency <= 5, score_intensity == 0, score_momentum == 0, score_quantity <= 3 ), EXISTS score_momentum, _created < "now-1w" ) FROM user
Lytics Previously Engagedsmt_inactiveUsers who are currently disengaged with your brand, but had been previously.FILTER AND ( score_momentum <= 10, EXISTS score_momentum, _created < "now-1w", NOT AND ( score_frequency <= 5, score_intensity == 0, score_momentum == 0, score_quantity <= 3 ) ) FROM user
Lytics Newsmt_newUsers who are new to your audience within the last week.FILTER _created >= "now-1w" FROM user
Lytics Highly Engagedsmt_powerUsers who engage most frequently and consistently of your users.FILTER AND ( AND ( score_quantity >= 50, score_frequency >= 50, score_intensity >= 25, score_momentum >= 40 ), EXISTS score_momentum, _created < "now-1w", NOT AND ( score_frequency <= 5, score_intensity == 0, score_momentum == 0, score_quantity <= 3 ), score_momentum > 10 ) FROM user
Lytics Unscoredsmt_unscoredUsers who have not registered enough activity to be scored by our behavioral algorithms.FILTER AND ( NOT EXISTS score_momentum, _created < "now-1w" )

Updated 4 months ago