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LinkedIn on LinkedIn 
October 2014 
Brendan Browne 
LinkedIn
Recruiting has changed 
VS
Our Opportunity 
The recruiting organization who figures out how to 
extract the value of the web’s people data and how 
to build a recruiting team model that operationalizes 
at scale, will define the future of talent acquisition!
Let’s do this together…
Use data to set expectations with hiring managers 
Data Center Operations Manager 
Keywords 
Location 
Industry 
Seniority 
Interested In 
Company Size 
Years of Experience 
Years in Position 
Company Type 
"Data Center" OR "Datacenter" 
Within 50 Miles 
Internet 
Manager 
Potential Employees 
501-1,000 OR 1,001-5,000 OR 5,001-10,000, OR 10,000+ 
6 to 10 years OR More than 10 years 
3-5 years OR 6-10 years 
Public Company 
Language English 
Recommendations 3-4 OR 5-10 OR 11-20 OR >20
Initial Search 
7
Remove 
Recommendation 
19
Remove years 
in position 
71
Remove 
company type 
82
Remove 
company size 
126
Shared accountability 
and change in perception
We made progress… 
But it wasn’t scalable
Up Your Data Game
The Where 
Over 475,000 Software Engineers on LinkedIn in the US
The Where 
Big Markets vs. Hidden Gems 
(based on LinkedIn recruiter contact Feb-Aug 2012)
The Where & Some Why 
New York provides a 33% larger supply of talent than Seattle, and has 
less overall demand for talent 
Supply Demand 
Region / Metro Area # SW Engineers 
# SW Eng 
Jobs posted 
(Q2 2012) 
Jobs Posted 
(% of total pool) 
% w job change 
(past 12 months) 
SF Bay Area 65,000 24,500 37.7% 19% 
NYC 36,100 5,200 14.4% 13% 
Boston 28,900 5,600 19.5% 15% 
Seattle 26,900 20,200* 75.1% 17% 
Washington DC 20,100 4,200 21.0% 12% 
Chicago 17,300 2,100 12.4% 13%
The Where & Why 
Seattle 
Skill Mix by City 
New York 
(word size represents skill frequency)
The Where & Why 
Seattle has more entry-level engineers 
NY has more senior and manager-level talent 
Manager 
and Above 
9.6% 
Manager 
and Above 
6.9%
The Why 
ABC Co is more connected in Seattle 
with 618 employees connected to 2,255 engineers in Seattle 
New York Seattle 
Company # Connected 
in pool 
% Connected 
in pool 
# Connected 
at company 
Company 1 9,721 27% 22,280 
Company 2 8,666 24% 8,620 
Company 3 7,500 21% 7,583 
Company 4 7,435 21% 11,844 
Company 5 7,026 19% 8,974 
Company 6 6,381 18% 5,583 
Company 7 6,299 17% 5,241 
Company 8 6,230 17% 5,103 
ABC Co 1,106 3% 597 
Company # Connected 
in pool 
% Connected 
in pool 
# Connected 
at company 
Company 1 20,335 76% 43,248 
Company 2 15,573 58% 10,340 
Company 3 11,675 43% 8,965 
Company 4 6,474 24% 1,754 
Company 5 6,311 23% 11,418 
Company 6 5,523 21% 6,745 
Company 7 5,183 19% 6,680 
Company 8 5,097 19% 7,959 
ABC Co 2,255 8% 618
“Connectedness” Matters… 
21% 12% 10% 
more likely to be 
knowledgeable 
of employers 
more likely to have a 
positive impression 
of employers 
more likely to 
consider a job 
with employers
The Why 
Talent Flows: Are we winning and losing talent?
Did you get it?
The 
Where 
Skills & 
Seniority 
Connectedness 
Matters 
Win-Loss 
Rate
Up Your Data Game
Now you’re 
the influencer
We made more progress 
But still it’s not scalable
Total Addressable Market aka TAM 
High" 
Revenue 
Opportunity 
Nurture “Red Carpet” 
Temperature 
Who is likely to buy? 
Low" 
High" 
Tele- 
Sales 
Build 
Awareness
We’ve been busy 
over the last year! 
—Operationalizing the TAM
We Segmented and Prioritized 2,000 
Systems Infrastructure Engineers 
High" 
Quality 
Who has expertise 
in skills we need? 
1:1 approach 
Temperature 
699 
Which prospects are most likely engage? 
Low" 
High" 
1:Many 
35 
1:Many 
1207 
1:Many 
59
1:1: Red Carpet Highest Priority 
Hyper personalized – relationships, insights
NEVER COLD CONTACT ANYONE
EVER!!…OR YOU FAIL THE IQ TEST!
1:Many = Content Strategy
So what were the results?
Engineering Pilot Results 
Most successful 
recruiter in 
Systems Infra 
Engineering 
85% response rate 
via warm intros 
Enable Eng Recruiting 
team to set a company 
record in quarterly 
hiring results
Sales Pilot Results 
50 Top Sales 
Execs in 
Nuture Stage
…Executive Talent Review
Do You 
Prioritize?
Reactive 
Recruiting Model 
Keyword Searching 
Jockey 
Prioritize the Top of List 
Cold 
Outreach 
See Activity 
Market Intel 
Dispersed
Planful and Prioritized Co-signors 
Search Once and Manage 
Prioritize High Fit & Affinity 
Tailored Outreach 
See Activity 
Market Intel Mastered
Truly Influence Strategy
Project Catapult Objective 
Ensure that Talent Acquisition is not a gate 
to meeting objectives for Engineering ! 
& Sales over 5 year horizon! 
!
Faster 
Path to 
Growth 
Supply 
Demand 
Capacity 
TA Efficiency 
Accelerators
Project Catapult 
Identify 
business 
implications 
1 
Supply 
ID total TAM for All 
Roles globally 
2 
Demand 
5 year estimated 
workforce plan 
3 
Capacity 
Estimate TA 
capacity required 
4 
Efficiency 
accelerators
“TAM” for Every Job “Track” & Level 
High" 
Quality 
Who has expertise 
in skills we need? 
1:Many 1:1 approach 
Temperature 
Which prospects are most likely engage? 
Low" 
High" 
1Many 
1:Many
TA Accelerators 
Current 
path 
Increase 
social 
recruiting 
Use the 
“TAM” 
Approach 
Operational 
efficiency 
Change Org 
Design of BUs 
Target New 
geographies 
Increase 
campus 
hiring
Increase 
Social 
Recruiting 
Increase 
Campus 
Hiring
Manager Impact & Org Design? 
L&D Impact? 
Revenue Tradeoffs to Hire Faster 
Product Roadmap Impact 
Executive Commitment
So what?
Do you know 
how you 
impact your 
company 
and the talent 
strategy?
Conversation 
Quality 
Elevates
Recognize the world of talent has changed 
We solve business 
problems!!! 
Data & Knowledge 
are free 
Tools & processes 
are different
Shift in mindset must happen
We are business people first
Never Show Up Without Data
It is not about you or the TA team
It is about everyone outside TA
Mediocrity in Talent Acquisition 
can not hide
Don’t do it alone!!
Evolve & Transform!!
Or Be Obsolete!!
This is OUR call to LEADERSHIP
LinkedIn on LinkedIn 2.0: Accelerating Talent Acquisition | Talent Connect San Francisco 2014

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LinkedIn on LinkedIn 2.0: Accelerating Talent Acquisition | Talent Connect San Francisco 2014

  • 1. LinkedIn on LinkedIn October 2014 Brendan Browne LinkedIn
  • 3.
  • 4.
  • 5. Our Opportunity The recruiting organization who figures out how to extract the value of the web’s people data and how to build a recruiting team model that operationalizes at scale, will define the future of talent acquisition!
  • 6.
  • 7. Let’s do this together…
  • 8.
  • 9.
  • 10. Use data to set expectations with hiring managers Data Center Operations Manager Keywords Location Industry Seniority Interested In Company Size Years of Experience Years in Position Company Type "Data Center" OR "Datacenter" Within 50 Miles Internet Manager Potential Employees 501-1,000 OR 1,001-5,000 OR 5,001-10,000, OR 10,000+ 6 to 10 years OR More than 10 years 3-5 years OR 6-10 years Public Company Language English Recommendations 3-4 OR 5-10 OR 11-20 OR >20
  • 13. Remove years in position 71
  • 16. Shared accountability and change in perception
  • 17. We made progress… But it wasn’t scalable
  • 18. Up Your Data Game
  • 19. The Where Over 475,000 Software Engineers on LinkedIn in the US
  • 20. The Where Big Markets vs. Hidden Gems (based on LinkedIn recruiter contact Feb-Aug 2012)
  • 21. The Where & Some Why New York provides a 33% larger supply of talent than Seattle, and has less overall demand for talent Supply Demand Region / Metro Area # SW Engineers # SW Eng Jobs posted (Q2 2012) Jobs Posted (% of total pool) % w job change (past 12 months) SF Bay Area 65,000 24,500 37.7% 19% NYC 36,100 5,200 14.4% 13% Boston 28,900 5,600 19.5% 15% Seattle 26,900 20,200* 75.1% 17% Washington DC 20,100 4,200 21.0% 12% Chicago 17,300 2,100 12.4% 13%
  • 22. The Where & Why Seattle Skill Mix by City New York (word size represents skill frequency)
  • 23. The Where & Why Seattle has more entry-level engineers NY has more senior and manager-level talent Manager and Above 9.6% Manager and Above 6.9%
  • 24. The Why ABC Co is more connected in Seattle with 618 employees connected to 2,255 engineers in Seattle New York Seattle Company # Connected in pool % Connected in pool # Connected at company Company 1 9,721 27% 22,280 Company 2 8,666 24% 8,620 Company 3 7,500 21% 7,583 Company 4 7,435 21% 11,844 Company 5 7,026 19% 8,974 Company 6 6,381 18% 5,583 Company 7 6,299 17% 5,241 Company 8 6,230 17% 5,103 ABC Co 1,106 3% 597 Company # Connected in pool % Connected in pool # Connected at company Company 1 20,335 76% 43,248 Company 2 15,573 58% 10,340 Company 3 11,675 43% 8,965 Company 4 6,474 24% 1,754 Company 5 6,311 23% 11,418 Company 6 5,523 21% 6,745 Company 7 5,183 19% 6,680 Company 8 5,097 19% 7,959 ABC Co 2,255 8% 618
  • 25. “Connectedness” Matters… 21% 12% 10% more likely to be knowledgeable of employers more likely to have a positive impression of employers more likely to consider a job with employers
  • 26. The Why Talent Flows: Are we winning and losing talent?
  • 27. Did you get it?
  • 28. The Where Skills & Seniority Connectedness Matters Win-Loss Rate
  • 29. Up Your Data Game
  • 30. Now you’re the influencer
  • 31. We made more progress But still it’s not scalable
  • 32.
  • 33.
  • 34.
  • 35.
  • 36. Total Addressable Market aka TAM High" Revenue Opportunity Nurture “Red Carpet” Temperature Who is likely to buy? Low" High" Tele- Sales Build Awareness
  • 37. We’ve been busy over the last year! —Operationalizing the TAM
  • 38. We Segmented and Prioritized 2,000 Systems Infrastructure Engineers High" Quality Who has expertise in skills we need? 1:1 approach Temperature 699 Which prospects are most likely engage? Low" High" 1:Many 35 1:Many 1207 1:Many 59
  • 39. 1:1: Red Carpet Highest Priority Hyper personalized – relationships, insights
  • 40.
  • 42. EVER!!…OR YOU FAIL THE IQ TEST!
  • 43. 1:Many = Content Strategy
  • 44. So what were the results?
  • 45. Engineering Pilot Results Most successful recruiter in Systems Infra Engineering 85% response rate via warm intros Enable Eng Recruiting team to set a company record in quarterly hiring results
  • 46.
  • 47. Sales Pilot Results 50 Top Sales Execs in Nuture Stage
  • 49.
  • 51. Reactive Recruiting Model Keyword Searching Jockey Prioritize the Top of List Cold Outreach See Activity Market Intel Dispersed
  • 52. Planful and Prioritized Co-signors Search Once and Manage Prioritize High Fit & Affinity Tailored Outreach See Activity Market Intel Mastered
  • 54.
  • 55. Project Catapult Objective Ensure that Talent Acquisition is not a gate to meeting objectives for Engineering ! & Sales over 5 year horizon! !
  • 56. Faster Path to Growth Supply Demand Capacity TA Efficiency Accelerators
  • 57. Project Catapult Identify business implications 1 Supply ID total TAM for All Roles globally 2 Demand 5 year estimated workforce plan 3 Capacity Estimate TA capacity required 4 Efficiency accelerators
  • 58. “TAM” for Every Job “Track” & Level High" Quality Who has expertise in skills we need? 1:Many 1:1 approach Temperature Which prospects are most likely engage? Low" High" 1Many 1:Many
  • 59. TA Accelerators Current path Increase social recruiting Use the “TAM” Approach Operational efficiency Change Org Design of BUs Target New geographies Increase campus hiring
  • 60. Increase Social Recruiting Increase Campus Hiring
  • 61. Manager Impact & Org Design? L&D Impact? Revenue Tradeoffs to Hire Faster Product Roadmap Impact Executive Commitment
  • 63. Do you know how you impact your company and the talent strategy?
  • 65. Recognize the world of talent has changed We solve business problems!!! Data & Knowledge are free Tools & processes are different
  • 66. Shift in mindset must happen
  • 67. We are business people first
  • 68. Never Show Up Without Data
  • 69. It is not about you or the TA team
  • 70. It is about everyone outside TA
  • 71. Mediocrity in Talent Acquisition can not hide
  • 72. Don’t do it alone!!
  • 75. This is OUR call to LEADERSHIP