User Segmentation

Segments are actionable labels we assign to users, learned from their behavior over time.

They show what kind of lifestyle applies to users, if and how they go to work, in what geographical areas they live, what kind of drivers they are, if they go out a lot and so on.

You can use these segments to build a better user experience.

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Profiles

Profiles are special type of Segments as they are always applicable to every user. Each Profile is associated with a level that can have one of the following values: LIMITED, MODERATE, HIGH

Segment	Description	Identifier
Physical Activity	evaluates how much the user is involved in physical activities	leisure.wellbeing.physical_activity.*
Mobility	evaluates how much the user is on the move	mobility.transport.mobility.*
Social Activity	evaluates how much the user is involved in social engagement	work_life.social.social_activity.*

Leisure

Segment	Description	Identifier
Bar Goer	enjoys evenings out at a pub or bar	leisure.entertainment.bar_goer
Culture buff	likes to visit musea, operas, arts centres, etc.	leisure.entertainment.culture_buff
Fresh food enthusiast	shops for food often	leisure.shopping.foodie
Healthy Biker	frequently bikes for long distances	leisure.wellbeing.healthy_biker
Healthy Walker	frequently walks for long distances	leisure.wellbeing.healthy_walker
Nature Lover	likes to go out to a park, public garden, zoo or nature reserve	leisure.entertainment.nature_lover
Resto Lover	likes eating out	leisure.wining_and_dining.resto_lover
Shopaholic	shops a lot	leisure.shopping.shopaholic
Sportive	sports regularly	leisure.wellbeing.sportive

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Mobility

Segment	Description	Identifier
Die Hard Driver	uses the car for almost every trip	mobility.driving.die_hard_driver
Easy Commuter	has an easy commute to/from work	mobility.commute.easy_commuter
Frequent Flyer	frequently flies	mobility.travel.frequent_flyer
Green Commuter	mostly sticks to walking and biking for commutes	mobility.commute.green_commuter
Heavy Commuter	has a heavy commute to/from work	mobility.commute.heavy_commuter
Long Commuter	lives far from their work location	mobility.commute.long_commuter
Normal Commuter	has an average commute time and distance	mobility.commute.normal_commuter
Public Transports User	often travels with public transports	mobility.transport.public_transports_user
Public transports commuter	often commutes with public transports	mobility.transport.public_transports_commuter
Short Commuter	lives close to their work location	mobility.commute.short_commuter

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Work life

Segment	Description	Identifier
Early Bird	whose first morning activity is earlier than average	work_life.home.early_bird
Fulltime Worker	works full-time	work_life.work.fulltime_worker
Home Bound	does not leave the house very often or travels very far	work_life.home.home_bound
Homebody	prefers to stay at home on weekends and outside business hours	work_life.home.homebody
Homeworker	works from home or who is unemployed	work_life.work.homeworker
Late Worker	works until late	work_life.work.late_worker
Night Owl	whose last evening activity is later than average	work_life.home.night_owl
Nightworker	works at night	work_life.work.nightworker
Parttime Worker	works part-time	work_life.work.parttime_worker
Sleep Deprived	sleeps very little	work_life.home.sleep_deprived
Student or teacher	a student or teacher	work_life.work.student
Uber Parent	a parent who drives his/her kids to school , kindergarten or day care	work_life.family.uber_parent
Work Life Balance	has a good balance between work and home life	work_life.home.work_life_balance
Work Traveller	works a lot remotely (travelling or in remote environments)	work_life.work.work_traveller
Workaholic	works more than average	work_life.work.workaholic

( based on decision engine v0.3.7 )