3. 3
USER PROVIDED
Company
Job Title
Geography
Company Following
Group Membership
School
Graduation Year
Field of Study
DERIVED
Function
Seniority
Company Size
Company Industry
Years of Experience
Gender
Age
Geography (IP)
Leverage LinkedIn Profile-based Targeting
4. Danie
Seattle, WA USA
Boston University
COMPANY INDUSTRYSIZE
SCHOOL
LOCATION
JOB
TITLE
SENIORITY
FUNCTION
FIELD OF STUDY
DEGREE
GRADUATION AGE
SKILLS
GROUPS
IP
Communication
Bachelor of Science
2011, 25-34
Simply Measured, 51-200,
Internet
Senior Marketing Manager,
Marketing, Senior IC
CMA, LEWIS, Social Tools
SEO, Social Media, Digital
Marketing, Blogging
5. 5
Targeting by Function
Inferred from user entered title
User Entered Title (possibly many)
↓
Standardized Title
↓ ↓
Seniority Function
Levels of Seniority:
Unpaid / Training / Entry IC* / Senior IC* /
Manager / Director / VP / CXO / Partner / Owner
*Individual contributor (IC) includes highly skilled
professionals ex. Engineer, teacher, doctor, lawyer, etc
6. 6
Targeting by Years of Experience
Inferred from user entered job experience
User Entered Job Titles (possibly many)
↓
Years of Experience per job
+
Years of Experience per job
=
Total Years of Experience
7. Company Size and Company Industry
7
•Member industry is directly inferred from their current experience
Company Entered Name
ê
Company Entered Industry
ê
Company Entered # of employees
Sample Targeting Facets:
Company Name → LinkedIn
Company Industry → Internet
Company Size → 5,000-10,000
Large companies may span several industries but
can only choose one. Spot-check company pages to
ensure you are targeting the correct industry.
8. Skills Targeting – reach experts in their field
When targeting by skills you are
reaching members who:
• Explicitly added their skills into
the skills section
• Have skills mentioned on their
profile text, but not within the
explicit skills section
• Have inferred skills based on
explicit skills and key values
they entered