Demographic Segments

This document lists all the valid demographic segments you can use when specifying audiences for analysis.

The following demographic dimensions are available for defining audiences:

Seniorities

This demographic dimension reflects the seniority level of members.

The valid values for the dimension are:

unpaid training entry
senior manager director
vp cxo partner
owner

Company sizes

This demographic dimension reflects the size of companies that members are employed by.

The valid values for the dimension are:

myself only 1-10 11-50
51-200 201-500 501-1000
1001-5000 5001-10000 10001+

Functions

This demographic dimension reflects the job functions of members.

The valid values for the dimension are:

accounting administrative arts and design
business development community and social services consulting
education engineering entrepreneurship
finance healthcare services human resources
information technology legal marketing
media and communication military and protective services none
operations product management program and project management
purchasing quality assurance real estate
research sales support

Custom segments

This demographic dimension reflects 'custom segments' that members belong to, as defined by LinkedIn.

The valid values for the dimension are:

Segment name Description
13 plus years of experience 13 years of experience is based off the member's first position listed on their profile with first year based on experience start year. Any title counts towards experience.
2-7 years of experience 2 to 7 years of experience is based off the member's first position listed on their profile with first year based on experience start year. Any title counts towards experience.
affluent millennials Look alike model based segment of members who possess over $100k (or equivalent in non US dollars) in investable assets as well as an inferred age indicative of a millennial.
big ideas & innovation channel followers Followers of Big Ideas and Innovation Pulse Channel.
business traveler This propensity based model leverages LinkedIn member data to identify professionals whose behavior indicates they travel or who have expressed interest in travel.
career starters Target individuals just getting started in their careers (
ceo network The non-CXO 1st degree connections of CEOs.
cfo network The non-CXO 1st degree connections of CFOs.
channels - business travel Follow the Business Travel channel on Pulse.
channels - economy Follow the Economy channel on Pulse.
channels - healthcare Follow the Healthcare channel on Pulse.
channels - leadership and management Follow the Leadership and Management channel on Pulse.
channels - marketing strategies Follow the Marketing Strategies channel on Pulse.
channels - professional women Follow the Professional Women channel on Pulse.
channels - recruiting and hiring Follow the Recruiting and Hiring channel on Pulse.
channels - social impact Follow the Social Impact channel on Pulse.
channels - social media Follow the Social Media channel on Pulse.
channels - what inspires me Follow the What Inspires Me channel on Pulse.
ci/to network The non-CXO 1st degree connections of CI/TOs.
cmo network The non-CXO 1st degree connections of CMOs.
ex-pat Members who moved to another country last year.
finance opinion leaders Members who are college educationed and follow channels and possess skills indicative of those who influence finance / government conversations.
follower-industry-consumer retail Follow the Consumer Retail on Pulse.
follower-industry-hospital & health care Follow the Hospital and Healthcare channel on Pulse.
follower-industry-marketing and advertising Follow the Marketing and Advertising channel on Pulse.
follower-industry-travel Follow the Travel channel on Pulse.
follower-sector-government Follow the Government on Pulse.
follower-sector-media Follow the Media on Pulse.
fortune 1ks Members who currently work at a fortune 1000 company.
freelancers Members whose profiles contain a variety of freelancing related keywords across many languages.
g2000 current company Members who currently work at a G2000 company.
high tech sector followers Followers of any company in High-Tech Industry Sector
interest - automotive followers Followers of companies in industry-automotive.
interest - education Followers of pulse channel for higher education.
interest - energy Followers of companies in oil and energy industry (based off company’s industry).
interest - entrep and small biz Followers of the Entrepreneurship channel on Pulse.
interest - finance Followers of companies in the Finance Sector.
interest - finance and banking Followers of the Finance & Banking channel on Pulse.
interest - higher ed Followers of companies in industry-higher education.
interest - retail Followers of the Retail channel on Pulse.
interest - technology Followers of the Technology channel on Pulse.
it committee Lookalike model segment of members who have IT decision making or influence.
mass affluent Lookalike model based segment of members who possess over $100k (or equivalent in non US dollars) in investable assets.
mobile/device Members that used the mobile app, mobile web via a mobile device in the last 30 days.
opinion leaders Members from industries and fields that regularly influence public policy and opinion as well as members active in Groups, Polls, Sharing, and Blogging.
outside of home country connections Over 50% of connections are outside home country connections based on member entered country.
retirement Active members who either (a) were born>40 years ago, (b) have a job title of 'retired', or (c) have been in their last 'position' for >15 years.
retirement decision makers High seniority and with headlines, summaries, or specialities related to Pensions/Benefits/Investments/Retirement OR members working for a few specific companies with certain job titles.
sbo network SBO Network (network of SBO owner, partner, CEO of company size 1-50 employees).
small business growth Businesses between 1-200 employees where growth (in number of employees) is higher than average for their peer group on LinkedIn.
smb inferred Members who most likely work for SMBs but are not currently mapped to SMBs.
unemployed professionals Members whose current position has an end date before the current date.
vets Members educated at Military institutions or employed by a US Service Branch.
young upwardly mobile Professional Millennials inferred to be under 35 years old with either certain job titles or zip codes of urban areas inferred to be high salary (US only).

Sectors

This demographic dimension reflects the industry sector that members work within.

The valid values for the dimension are:

agriculture arts construction
consumer corporate educational
finance government high-tech
legal manufacturing media
medical non-profit recreational
service transportation

Industries

This demographic dimension reflects the name of the industry that members work within.

The valid values for the dimension are:

accounting airlines/aviation alternative dispute resolution
alternative medicine animation apparel and fashion
architecture & planning arts and crafts automotive
aviation and aerospace banking biotechnology
broadcast media building materials business supplies and equipment
capital markets chemicals civic & social organization
civil engineering commercial real estate computer and network security
computer games computer hardware computer networking
computer software construction consumer electronics
consumer goods consumer services cosmetics
dairy defense & space design
e-learning education management electrical and electronic manufacturing
entertainment environmental services events services
executive office facilities services farming
financial services fine art fishery
food & beverages food production fundraising
furniture gambling & casinos glass, ceramics and concrete
government administration government relations graphic design
health, wellness and fitness higher education hospital & health care
hospitality human resources import and export
individual and family services industrial automation information services
information technology and services insurance international affairs
international trade and development internet investment banking
investment management judiciary law enforcement
law practice legal services legislative office
leisure, travel & tourism libraries logistics and supply chain
luxury goods and jewelry machinery management consulting
maritime market research marketing and advertising
mechanical or industrial engineering media production medical device
medical practice mental health care military
mining & metals motion pictures and film museums and institutions
music nanotechnology newspapers
non-profit organization management oil & energy online media
outsourcing/offshoring package/freight delivery packaging and containers
paper & forest products performing arts pharmaceuticals
philanthropy photography plastics
political organization primary/secondary education printing
professional training & coaching program development public policy
public relations and communications public safety publishing
railroad manufacture ranching real estate
recreational facilities and services religious institutions
renewables and environment research restaurants
retail security and investigations semiconductors
shipbuilding sporting goods sports
staffing and recruiting supermarkets telecommunications
textiles think tanks tobacco
translation and localization transportation/trucking/railroad utilities
venture capital and private equity veterinary warehousing
wholesale wine and spirits wireless
writing and editing

Minor continents

The following are valid minor continents that you can specify:

antarctica eastern europe south africa
australia melanesia south america
caribbean micronesia south asia
central africa middle east southeast asia
central america new zealand west africa
central asia north africa western europe
east africa north america unknown
eastern asia polynesia

Countries

The following are valid countries that you can specify:

afghanistan aland islands albania
algeria american samoa andorra
angola anguilla antarctica
antigua and barbuda argentina armenia
aruba australia austria
azerbaijan bahamas bahrain
bangladesh barbados belarus
belgium belize benin
bermuda bhutan bolivia
bosnia and herzegovina botswana bouvet island
brazil british indian ocean territory brunei darussalam
bulgaria burkina faso burundi
cambodia cameroon canada
cape verde caribbean nations cayman islands
central african republic chad chile
china christmas island cocos (keeling) islands
colombia comoros congo
congo, the democratic republic of the cook islands costa rica
croatia cuba cyprus
czech republic côte d'ivoire denmark
djibouti dominica dominican republic
east timor ecuador egypt
el salvador equatorial guinea eritrea
estonia ethiopia falkland islands (malvinas)
faroe islands fiji finland
france french guiana french polynesia
french southern territories gabon gambia
georgia germany ghana
gibraltar greece greenland
grenada guadeloupe guam
guatemala guinea guinea-bissau
guyana haiti heard island and mcdonald islands
holy see (vatican city state) honduras hong kong
hungary iceland india
indonesia iran, islamic republic of iraq
ireland israel italy
jamaica japan jordan
kazakhstan kenya kiribati
korea, democratic people's republic of korea, republic of kuwait
kyrgyzstan lao, people's democratic republic latvia
lebanon lesotho liberia
libyan arab jamahiriya liechtenstein lithuania
luxembourg macao macedonia, the former yugoslav republic of
madagascar malawi malaysia
maldives mali malta
marshall islands martinique mauritania
mauritius mayotte mexico
micronesia, federated states of moldova, republic of monaco
mongolia montserrat morocco
mozambique myanmar namibia
nauru nepal netherlands
netherlands antilles new caledonia new zealand
nicaragua niger nigeria
niue norfolk island northern mariana islands
norway oman pakistan
palau palestinian territory, occupied panama
papua new guinea paraguay peru
philippines pitcairn poland
portugal puerto rico qatar
reunion romania russian federation
rwanda saint helena saint kitts and nevis
saint lucia saint pierre and miquelon saint vincent and the grenadines
samoa san marino sao tome and principe
saudi arabia senegal serbia and montenegro
seychelles sierra leone singapore
slovakia slovenia solomon islands
somalia south africa south georgia and the south sandwich islands
spain sri lanka sudan
suriname svalbard and jan mayen swaziland
sweden switzerland syrian arab republic
taiwan, province of china tajikistan tanzania, united republic of
thailand timor-leste togo
tokelau tonga trinidad and tobago
tunisia turkey turkmenistan
turks and caicos islands tuvalu uganda
ukraine united arab emirates united kingdom
united states uruguay uzbekistan
vanuatu venezuela viet nam
virgin islands, british virgin islands, u.s. wallis and futuna
western sahara yemen yugoslavia
zambia zimbabwe