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.
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
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
Bar Goer
enjoys evenings out at a pub or bar
leisure.entertainment.bar_goer
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
Mobility
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
Work life
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 )
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