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PERSONALIZE  YOUR  
MARKETING
1	
  
Amrit	
  Kirpalani	
  
Founder	
  and	
  CEO	
  of	
  nectarOM	
  
	
  
Ma.	
  Koppelman	
  
Digital	
  Marke6ng	
  Manager	
  at	
  Riddell	
  
The  Obligatory:
2	
  
For	
  the	
  Summit:	
   For	
  this	
  Session:	
  
#MUISS	
   #HappyCFO	
   #HappyCust	
  
For:	
  
•  Social	
  Business	
  
•  Entrepreneurship	
  Counsel	
  
•  Leadership	
  Advice	
  
For:	
  
•  Ironic	
  Pop	
  Culture	
  T-­‐shirts	
  
•  Cursing	
  the	
  CTA	
  
•  Complaining	
  about	
  the	
  Cubs	
  
How  Are  You  Talking  To  Your  
Customers?
3	
  
INDUSTRIAL AGE INFORMATION AGE CONVERSATION AGE
A  ShiH  In  The  MarkeIng  Landscape  
(again)
4	
  
Already  Here  Today
5	
  
What  is  Hyper-­‐PersonalizaIon?
6	
  
hy-­‐per	
  per·∙son·∙al·∙iz-­‐a6on	
  
The	
  quality	
  or	
  state	
  of	
  catering	
  to	
  consumers’	
  needs	
  
and	
  wants	
  by	
  using	
  preference	
  data	
  to	
  create	
  
meaningful	
  connecPons	
  ·∙	
  
“70% of customers
indicate a willingness to
disclose personal details
for more relevant
messaging”
Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014
How  Does  It  Work?
7	
  
Customer	
  
Data	
  
Personalized	
  
Recommenda6ons	
  
In  AcIon
8	
  
Two	
  Editors	
  from	
  The	
  Atlan*c	
  reversed-­‐engineered	
  the	
  NeTlix	
  microgenre	
  algorithm:	
  	
  
Netflix possesses not several hundred
genres, or even several thousand, but 76,897
unique ways to describe types of movies.	
  
How	
  many	
  microtags	
  can	
  you	
  apply	
  to	
  each	
  
member	
  of	
  your	
  potenPal	
  customer	
  base?	
  	
  
Sally  has  been  Browsing  Amazon  to  
Purchase  Fitness-­‐Related  Items:
9	
  
Data  Creates  AcIonable  Profiles
What
She
Buys
• Transaction History
• Ability to Segment
Purchase Behavior
• But has Selection Bias
Where
She
Goes
• Online Browsing
Habits & Preferences
• Provides Context to
Enrich Profile
How She
Lives
• Marketing Channels
• Major Life Events
• What She Believes
• Likes / Dislikes, Interests,
Activities
• Education / Family
Background
10
Who  They  Are  +  How  They  Live  =  AcIon
11
Name Purchase
History
Online
Behavior
Social
Profile
Life
Events
Brand
Affinity
Desired
Action
Jane Doe Loyalist “Window”
Shopper
Light
Green /
Gen-Y
Just Got
Engaged
Mid to
Upscale
Brands
Up-Sell
Jen Smith Moderate Deal
Seeker
Single
Mom /
Active
Moving for
New Job
Value
Brands
Retain
John Doe Dormant Not Known Tech-
Savvy /
Travels &
Reads
Planning a
Vacation
Upscale
Brands
Re-
Activate
Alice –
‘Best
Customer’
Loyalist Online
Influencer
Socially
Conscious
/ Younger
Family
Oriented
Mid /
Value
Oriented
Ideal
Acquisition
Target
How Customer LivesWhat Customer Does
Omni-­‐Channel  DistribuIon
Email Website Mobile
•  Dynamic on-site widgets or content
blocks, even displaying banners or
shadow boxes, depending on the
unique user experience of your site
•  Don’t forget that
consumers are using a
multitude of devices to
interact with you
•  Scheduled and Event-Driven
or “Triggered” Campaigns
12
Happy  Customer  Equals…
13	
  
Increased	
  
conversions	
  
Increased	
  loyalty	
  
14	
  
Not	
  At	
  All	
  
Likely,	
  18%	
  
Extreme	
  
Likely,	
  8%	
  
Very	
  Likely,	
  
17%	
  
Somewhat	
  
Likely,	
  56%	
  
Your  Customers  Will  Thank  You
Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014
Likelihood	
  that	
  US	
  Shoppers	
  Will	
  Purchase	
  
More	
  Items	
  A9er	
  Receiving	
  Personalized	
  
Emails	
  About	
  Products	
  	
  
81%	
  of	
  
respondents	
  stated	
  
they	
  are	
  more	
  
likely	
  make	
  
addiPonal	
  
purchases	
  as	
  a	
  
result	
  of	
  targeted	
  
emails.	
  
15	
  
Not	
  at	
  
all	
  
willing,	
  
18%	
   Extremel
y	
  Willing,	
  
7%	
  
Very	
  
Willing,	
  
19%	
  
Somew
hat	
  
Willing,	
  
56%	
  
Willingness	
  of	
  US	
  Digital	
  Shoppers	
  to	
  
Receive	
  AddiConal	
  PromoConal	
  Emails	
  
from	
  Retailers	
  if	
  Personalized	
  	
  
Your  Customers  Will  Thank  You
82%	
  were	
  willing	
  
to	
  handle	
  the	
  
increase	
  in	
  
messaging	
  if	
  
personalized	
  
Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014
Get  On  Your  CFO’s  Good  Side
Revenue	
  
Costs	
  
16	
  
Increase	
  of	
  	
  
2-­‐5%	
  Profit	
  
Margin	
  points	
  
How  Hyper-­‐PersonalizaIon  Decreases  Costs:
17	
  
Costs	
  
Reduces	
  Returns	
  
OpPmizes	
  PromoPonal	
  
Spend	
  
1	
  
2	
  
How  Hyper-­‐PersonalizaIon  Increases  Revenue:
18	
  
Increases	
  CTR	
  
Increases	
  Conversions	
  
Revenue	
  
Increases	
  Loyalty	
  
1	
  
2	
  
3	
  
3  Steps  to  Start  Personalizing:
19	
  
1	
   Conduct	
  a	
  quick	
  audit	
  
2	
   Convince	
  your	
  CFO	
  
3	
  
Demand	
  more	
  from	
  
your	
  partners	
  
QUESTIONS?
20	
  

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Personalize Your Marketing - Your Customers and CFO Will Thank You

  • 1. PERSONALIZE  YOUR   MARKETING 1   Amrit  Kirpalani   Founder  and  CEO  of  nectarOM     Ma.  Koppelman   Digital  Marke6ng  Manager  at  Riddell  
  • 2. The  Obligatory: 2   For  the  Summit:   For  this  Session:   #MUISS   #HappyCFO   #HappyCust   For:   •  Social  Business   •  Entrepreneurship  Counsel   •  Leadership  Advice   For:   •  Ironic  Pop  Culture  T-­‐shirts   •  Cursing  the  CTA   •  Complaining  about  the  Cubs  
  • 3. How  Are  You  Talking  To  Your   Customers? 3   INDUSTRIAL AGE INFORMATION AGE CONVERSATION AGE
  • 4. A  ShiH  In  The  MarkeIng  Landscape   (again) 4  
  • 6. What  is  Hyper-­‐PersonalizaIon? 6   hy-­‐per  per·∙son·∙al·∙iz-­‐a6on   The  quality  or  state  of  catering  to  consumers’  needs   and  wants  by  using  preference  data  to  create   meaningful  connecPons  ·∙   “70% of customers indicate a willingness to disclose personal details for more relevant messaging” Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014
  • 7. How  Does  It  Work? 7   Customer   Data   Personalized   Recommenda6ons  
  • 8. In  AcIon 8   Two  Editors  from  The  Atlan*c  reversed-­‐engineered  the  NeTlix  microgenre  algorithm:     Netflix possesses not several hundred genres, or even several thousand, but 76,897 unique ways to describe types of movies.   How  many  microtags  can  you  apply  to  each   member  of  your  potenPal  customer  base?    
  • 9. Sally  has  been  Browsing  Amazon  to   Purchase  Fitness-­‐Related  Items: 9  
  • 10. Data  Creates  AcIonable  Profiles What She Buys • Transaction History • Ability to Segment Purchase Behavior • But has Selection Bias Where She Goes • Online Browsing Habits & Preferences • Provides Context to Enrich Profile How She Lives • Marketing Channels • Major Life Events • What She Believes • Likes / Dislikes, Interests, Activities • Education / Family Background 10
  • 11. Who  They  Are  +  How  They  Live  =  AcIon 11 Name Purchase History Online Behavior Social Profile Life Events Brand Affinity Desired Action Jane Doe Loyalist “Window” Shopper Light Green / Gen-Y Just Got Engaged Mid to Upscale Brands Up-Sell Jen Smith Moderate Deal Seeker Single Mom / Active Moving for New Job Value Brands Retain John Doe Dormant Not Known Tech- Savvy / Travels & Reads Planning a Vacation Upscale Brands Re- Activate Alice – ‘Best Customer’ Loyalist Online Influencer Socially Conscious / Younger Family Oriented Mid / Value Oriented Ideal Acquisition Target How Customer LivesWhat Customer Does
  • 12. Omni-­‐Channel  DistribuIon Email Website Mobile •  Dynamic on-site widgets or content blocks, even displaying banners or shadow boxes, depending on the unique user experience of your site •  Don’t forget that consumers are using a multitude of devices to interact with you •  Scheduled and Event-Driven or “Triggered” Campaigns 12
  • 13. Happy  Customer  Equals… 13   Increased   conversions   Increased  loyalty  
  • 14. 14   Not  At  All   Likely,  18%   Extreme   Likely,  8%   Very  Likely,   17%   Somewhat   Likely,  56%   Your  Customers  Will  Thank  You Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014 Likelihood  that  US  Shoppers  Will  Purchase   More  Items  A9er  Receiving  Personalized   Emails  About  Products     81%  of   respondents  stated   they  are  more   likely  make   addiPonal   purchases  as  a   result  of  targeted   emails.  
  • 15. 15   Not  at   all   willing,   18%   Extremel y  Willing,   7%   Very   Willing,   19%   Somew hat   Willing,   56%   Willingness  of  US  Digital  Shoppers  to   Receive  AddiConal  PromoConal  Emails   from  Retailers  if  Personalized     Your  Customers  Will  Thank  You 82%  were  willing   to  handle  the   increase  in   messaging  if   personalized   Personaliza+on  Sees  Payoffs  in  Marke+ng  Emails,  eMarketer,  January  28,  2014
  • 16. Get  On  Your  CFO’s  Good  Side Revenue   Costs   16   Increase  of     2-­‐5%  Profit   Margin  points  
  • 17. How  Hyper-­‐PersonalizaIon  Decreases  Costs: 17   Costs   Reduces  Returns   OpPmizes  PromoPonal   Spend   1   2  
  • 18. How  Hyper-­‐PersonalizaIon  Increases  Revenue: 18   Increases  CTR   Increases  Conversions   Revenue   Increases  Loyalty   1   2   3  
  • 19. 3  Steps  to  Start  Personalizing: 19   1   Conduct  a  quick  audit   2   Convince  your  CFO   3   Demand  more  from   your  partners