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

SegmentDescriptionIdentifier

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

SegmentDescriptionIdentifier

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

SegmentDescriptionIdentifier

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

SegmentDescriptionIdentifier

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 )

Last updated