From Insights to Pipeline:
Using Data to Plan and Brand
for the Future
L I N K E D I N W E B C A S T
Introduction
2
​L A U R E N
L A R O S E
​Sr. Solutions
Consultant
What we’ll
cover
1. Talent landscape
2. Importance of data
3. Pulling insights from data
4. Building your pipeline
3
K E Y N O T E P R E S E N T A T I O N
T H E T A L E N T
L A N D S C A P E
I S E V O L V I N G
4
The vast majority of candidates are online
5
LinkedIn alone has 500 million+ members worldwide
Information and power has shifted to the
candidates
​Adults spend over
​11
​hours a day consuming media
6
They’re even searching for jobs in the bathroom!
7
Where are mobile job seekers looking?
Source: Jobvite Annual Recruiting Survey 2016
Job openings now surpass hires
8
So how do you break through the noise?
Data can point you in the right direction
• Find in-demand talent
• Present the right message
• Understand competitive threats
• Identify market opportunities
10
11
2x
​Talent acquisition teams
with mature analytics are
twice as likely to improve
their recruiting efforts
Source: LinkedIn Data-Driven Recruiting eBook 2014
12
3x
​and three times more
likely to realize cost
reductions and
efficiency gains
Source: LinkedIn Data-Driven Recruiting eBook 2014
Data-driven
recruiting
The analysis and interpretation of
talent pool data to find the best
people for your organization faster.
13
You recognize the value in having data
14
Source: LinkedIn Data-Driven Recruiting eBook 2014
But you often don’t have what you need
15
2 out of 3 recruiters don’t have the tools necessary to understand the
market and talent pool they are recruiting from
Source: LinkedIn Data-Driven Recruiting eBook 2014
W E W A N T T O
E M P O W E R
Y O U
Finding and
using the
data
We’re going to look at two types of data
MACRO – broader-view data
about industries and talent
pools
18
​MICRO – narrower-view data
about your company and
competitors
G E T T I N G T H E
B I G
P I C T U R E
Talent Pools
19
Industry Talent Report – Identifying key trends
​Example: Computer Software Industry
20
Key insights
• Competition for talent may be
higher in these regions
• But… you might find more
people with the industry
experience you need
• Thinking of expanding? These
could be good places to open
a new office.
Industry Talent Report – Identifying key trends
​Example: Computer Software Industry
21
Key insights
• Expand search criteria beyond
Computer Software industry
• Focus campus hiring on
schools producing the most
grads entering computer
software
• Popular industry for post-
grads
Industry Talent Report – Identifying key trends
​Example: Computer Software Industry
22
Key insights
• Content marketing should
include posts about
leadership, cloud computing,
and start-ups
• Encourage employees to blog
about these topics
Talent Pool Report – Assessing supply and demand
​Example: Salespeople
23
Key insights
• Source talent from LA or Dallas
• You need to make your inMails stand out from the crowd
Talent Pool Report – Assessing supply and demand
​Example: Salespeople
24
Key insights
• Highlight culture and
ability to make in impact
in your messaging
• Share content about
sales tactics and cloud
computing
Talent Pool Report – Assessing supply and demand
​Example: Salespeople
25
Key insights
• Narrow your search to
people with more than 3
years tenure
• Send short inMails Mon-
Weds or on the weekend
26
​Find your own talent
pool insights in
LinkedIn Recruiter
​LIVE DEMO
27
L A S E R F O C U S
O N T H E
D E T A I L S
Company metrics
Company snapshot – look at your employee base
​Example: Computer Software Company
28
Key insights
• Losing and winning talent
from the same 3
companies
• Successfully winning
against Hewlett Packard
• Significant losing ratio
against Amazon
Company snapshot – look at your employee base
​Example: Computer Software Company
29
Key insights
• Flexis should promote
employee referrals
• May want to focus on
building follower base
30
​Research your own
employee base in
LinkedIn Recruiter
​LIVE DEMO
B U I L D
Y O U R
P I P E L I N E
31
4 key steps to using data to build your pipeline
32
​A S S E S S D A T A
F O R E A C H K E Y
H I R I N G
S E G M E N T
​B U I L D U N I Q U E
P E R S O N A S A N D
E M P L O Y E R
V A L U E
P R O P O S I T I O N S
​D E T E R M I N E
O U T R E A C H
S T R A T E G Y F O R
E A C H S E G M E N T
​L A U N C H
T A R G E T E D
C A M P A I G N S
Build personas – Who is Melissa?
​Let’s look at our computer software salesperson:
• Works in Computer Software, IT Services, or Internet
industries
• Likely to change jobs after 3+ years
• Topics of interest: sales tactics, cloud computing,
start-ups
• Values culture and the ability to make an impact
• Best contacted early in the week or on weekends
33
34
Aware
Interested
Applied
Hires
Influence talent:
Raise awareness, “warm up” your audience
Drive preference:
Capture interest, build a talent pipeline
Source talent:
Capture applicants, directly engage candidates
Determine your outreach strategy –
How are you going to message Melissa along her journey?
Determine your outreach strategy –
How are you going to message Melissa along her journey?
35
Aware
Interested
Applied
Hires
• Recruitment Ads
• Sponsored Updates
• Career Pages
• Pipeline Builder
• Job Slots
• Recruiter
Launch targeted campaigns –
Recruitment Ads and Sponsored Updates
36
Aware
Interested
Applied
Hires
Launch targeted campaigns –
LinkedIn Career Pages
37
Aware
Interested
Applied
Hires
Launch targeted campaigns –
Pipeline Builder
38
Aware
Interested
Applied
Hires
39
​Pipeline Builder –
​Reach à Attract à Engage
​DEMO
40
83%
​of leads sourced through
Pipeline Builder had not
previously applied to a
job at that company1
1. 2017 LinkedIn Internal Data. Limited sample size (based on 21 charter customers)
“ ”
J E S S I C A B O Y D
41
Talent Brand Manager - Autodesk
​I was blown away with the results. We
were able to quickly engage with so
many people who were a potential fit
for Autodesk.
Key
takeaways
1. Pair macro and micro data to get a
detailed picture of your hiring
landscape
2. Use insights to build robust profiles
for your ideal talent
3. Launch tailored outreach
programs to fuel your pipeline
42
F R O M I N S I G H T S T O
P I P E L I N E : U S I N G D A T A T O
P L A N A N D B R A N D F O R T H E
F U T U R E
43
​Data can transform
people, companies,
and the world
Q U E S T I O N S ?
Thank You
44

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From Insights to Pipeline: Using Data to Plan and Brand for the Future

  • 1. From Insights to Pipeline: Using Data to Plan and Brand for the Future L I N K E D I N W E B C A S T
  • 2. Introduction 2 ​L A U R E N L A R O S E ​Sr. Solutions Consultant
  • 3. What we’ll cover 1. Talent landscape 2. Importance of data 3. Pulling insights from data 4. Building your pipeline 3 K E Y N O T E P R E S E N T A T I O N
  • 4. T H E T A L E N T L A N D S C A P E I S E V O L V I N G 4
  • 5. The vast majority of candidates are online 5 LinkedIn alone has 500 million+ members worldwide
  • 6. Information and power has shifted to the candidates ​Adults spend over ​11 ​hours a day consuming media 6
  • 7. They’re even searching for jobs in the bathroom! 7 Where are mobile job seekers looking? Source: Jobvite Annual Recruiting Survey 2016
  • 8. Job openings now surpass hires 8
  • 9. So how do you break through the noise?
  • 10. Data can point you in the right direction • Find in-demand talent • Present the right message • Understand competitive threats • Identify market opportunities 10
  • 11. 11 2x ​Talent acquisition teams with mature analytics are twice as likely to improve their recruiting efforts Source: LinkedIn Data-Driven Recruiting eBook 2014
  • 12. 12 3x ​and three times more likely to realize cost reductions and efficiency gains Source: LinkedIn Data-Driven Recruiting eBook 2014
  • 13. Data-driven recruiting The analysis and interpretation of talent pool data to find the best people for your organization faster. 13
  • 14. You recognize the value in having data 14 Source: LinkedIn Data-Driven Recruiting eBook 2014
  • 15. But you often don’t have what you need 15 2 out of 3 recruiters don’t have the tools necessary to understand the market and talent pool they are recruiting from Source: LinkedIn Data-Driven Recruiting eBook 2014
  • 16. W E W A N T T O E M P O W E R Y O U
  • 18. We’re going to look at two types of data MACRO – broader-view data about industries and talent pools 18 ​MICRO – narrower-view data about your company and competitors
  • 19. G E T T I N G T H E B I G P I C T U R E Talent Pools 19
  • 20. Industry Talent Report – Identifying key trends ​Example: Computer Software Industry 20 Key insights • Competition for talent may be higher in these regions • But… you might find more people with the industry experience you need • Thinking of expanding? These could be good places to open a new office.
  • 21. Industry Talent Report – Identifying key trends ​Example: Computer Software Industry 21 Key insights • Expand search criteria beyond Computer Software industry • Focus campus hiring on schools producing the most grads entering computer software • Popular industry for post- grads
  • 22. Industry Talent Report – Identifying key trends ​Example: Computer Software Industry 22 Key insights • Content marketing should include posts about leadership, cloud computing, and start-ups • Encourage employees to blog about these topics
  • 23. Talent Pool Report – Assessing supply and demand ​Example: Salespeople 23 Key insights • Source talent from LA or Dallas • You need to make your inMails stand out from the crowd
  • 24. Talent Pool Report – Assessing supply and demand ​Example: Salespeople 24 Key insights • Highlight culture and ability to make in impact in your messaging • Share content about sales tactics and cloud computing
  • 25. Talent Pool Report – Assessing supply and demand ​Example: Salespeople 25 Key insights • Narrow your search to people with more than 3 years tenure • Send short inMails Mon- Weds or on the weekend
  • 26. 26 ​Find your own talent pool insights in LinkedIn Recruiter ​LIVE DEMO
  • 27. 27 L A S E R F O C U S O N T H E D E T A I L S Company metrics
  • 28. Company snapshot – look at your employee base ​Example: Computer Software Company 28 Key insights • Losing and winning talent from the same 3 companies • Successfully winning against Hewlett Packard • Significant losing ratio against Amazon
  • 29. Company snapshot – look at your employee base ​Example: Computer Software Company 29 Key insights • Flexis should promote employee referrals • May want to focus on building follower base
  • 30. 30 ​Research your own employee base in LinkedIn Recruiter ​LIVE DEMO
  • 31. B U I L D Y O U R P I P E L I N E 31
  • 32. 4 key steps to using data to build your pipeline 32 ​A S S E S S D A T A F O R E A C H K E Y H I R I N G S E G M E N T ​B U I L D U N I Q U E P E R S O N A S A N D E M P L O Y E R V A L U E P R O P O S I T I O N S ​D E T E R M I N E O U T R E A C H S T R A T E G Y F O R E A C H S E G M E N T ​L A U N C H T A R G E T E D C A M P A I G N S
  • 33. Build personas – Who is Melissa? ​Let’s look at our computer software salesperson: • Works in Computer Software, IT Services, or Internet industries • Likely to change jobs after 3+ years • Topics of interest: sales tactics, cloud computing, start-ups • Values culture and the ability to make an impact • Best contacted early in the week or on weekends 33
  • 34. 34 Aware Interested Applied Hires Influence talent: Raise awareness, “warm up” your audience Drive preference: Capture interest, build a talent pipeline Source talent: Capture applicants, directly engage candidates Determine your outreach strategy – How are you going to message Melissa along her journey?
  • 35. Determine your outreach strategy – How are you going to message Melissa along her journey? 35 Aware Interested Applied Hires • Recruitment Ads • Sponsored Updates • Career Pages • Pipeline Builder • Job Slots • Recruiter
  • 36. Launch targeted campaigns – Recruitment Ads and Sponsored Updates 36 Aware Interested Applied Hires
  • 37. Launch targeted campaigns – LinkedIn Career Pages 37 Aware Interested Applied Hires
  • 38. Launch targeted campaigns – Pipeline Builder 38 Aware Interested Applied Hires
  • 39. 39 ​Pipeline Builder – ​Reach à Attract à Engage ​DEMO
  • 40. 40 83% ​of leads sourced through Pipeline Builder had not previously applied to a job at that company1 1. 2017 LinkedIn Internal Data. Limited sample size (based on 21 charter customers)
  • 41. “ ” J E S S I C A B O Y D 41 Talent Brand Manager - Autodesk ​I was blown away with the results. We were able to quickly engage with so many people who were a potential fit for Autodesk.
  • 42. Key takeaways 1. Pair macro and micro data to get a detailed picture of your hiring landscape 2. Use insights to build robust profiles for your ideal talent 3. Launch tailored outreach programs to fuel your pipeline 42 F R O M I N S I G H T S T O P I P E L I N E : U S I N G D A T A T O P L A N A N D B R A N D F O R T H E F U T U R E
  • 43. 43 ​Data can transform people, companies, and the world
  • 44. Q U E S T I O N S ? Thank You 44