SlideShare a Scribd company logo
Data Marketing
                %#8
Using Linked Data for Branding, Promotion & Profit
    ,8               Ñ Ü/ 4 %#

                                by Stanley Du
                                   @SIWOW
1.0 Linking pages
    —— E
2.0 Linking people
    ——
3.0 Linking data
    —— 4%#
$1 billion in social media marketing
 (i.e., Facebook, Twitter) this year.
          10Ö         Ú
The 4P’s of Marketing
    4P8

        Product

         Pricing

       Placement

       Promotion
Product, pricing, placement and
promotion will all be effected by
linked data.
            (                    4
%#          

How?
   ?
Roadmap




   Data for customers ——%#
   Data + search = SEO++ ——%#+$   =ü,$   
    

   Data branding ——%#   ,

   Data business models ——%#
Data helps us
make decisions.
%# Ù
Data helps us
 impress our
    boss.
%# Ù
ü
Data helps us
 persuade
   others.
%# 
Ù
Data is the fuel of 21st century.
    %#21
Finding data is hard
       work.
   %#Ð 6
And then we horde it in silos.
+ Ù %#
But a new
  generation of
   companies is
making data “open.”

 Ð  
 üÜ%#
   %
And a wave of
linked data is on
    the way.
   4 %#
   )     '
Marketers love
    data.
8     ,%
     #
If you love
something, set it
      free.
           Ö
         Õ
Instead of data about customers,
data for customers.
%#                    Ñ       Ó
Roadmap




   Data for customers ——%#
   Data + search = SEO++ ——%#+$   =ü,$   
    

   Data branding ——%#   ,

   Data business models ——%#
Emerging marketing tactics, circa 2010
         ——$
Emerging marketing tactics, circa 2010
          —— %           




 1,573
 APIs

 4,549
mashups
SEO and web APIs are a
qualitatively different kind of marketing tactic.
$               %     Ð        '      
                         /
Data can help
people find you.
%#       
   Ù
15% higher
click-through rate.
     ø        15%
         Source: Nick Cox, Yahoo!
Better
             listing

Catalyze a
                       More
 virtuous              clicks
  cycle.
      6     Higher              More
              rank              visitors


                       More
                       links
Microformats  RDFa in existing pages
                    %# E              
       span xmlns:v=http://rdf.data-vocabulary.org/# typeof=v:Review-
       aggregate
       span property=v:itemreviewedThe Slanted Door/span
       span rel=v:rating
       span property=v:average”4.0/span
       /span
       span property=v:count”1698/span
       /span

       div xmlns:v=http://rdf.data-vocabulary.org/# typeof=v:Organization
       span property=v:nameThe Slanted Door/span
       span property=v:tel(415) 861-8032/span
       div rel=v:address
       span property=v:street-address1 Ferry Bldg/span
       span property=v:localitySan Francisco/span
       span property=v:regionCA/span
       span property=v:postal-code94111/span
       /div
       /div
                                    http://rdfa.info/
                              http://microformats.org/
http://www.google.com/support/webmasters/bin/topic.py?hl=entopic=21997
Data
SEO             SEO++
      Objects
http://www.ebusiness-unibw.org/wiki/GoodRelations
30% increase in organic search
                engine traffic.
' $                      30%
                    Source: Jay Myers, BestBuy
SEO offers incentive  budget for data
$  %# Þ 
    (millions)
                                                 $5,078
                                               in 4 years
                  $2,805
                 this year




                    Projected SEO spending in US




                                      Source: Forrester Research, Inc.
Roadmap




   Data for customers ——%#
   Data + search = SEO++ ——%#+$   =ü,$   
    

   Data branding ——%#   ,

   Data business models ——%#
“Data shapes
 conversations
 and markets.”
%#         8

     – Josh Jones-Dilworth
What data, if widely disseminated,
would grow your market?

Ö                  %#
What data would position you as a
leading authority in your field?

Ö       %#     3Ó
What data vocabularies (ontologies)
will define your market?

Ö  %#               '
With SEO and web APIs,
marketing has a
different audience.
 $  
%                   Ñ
The data marketing ecosystem
           %#8 /

  Marketers         Marketers         Developers




                                        Data
  Consumers         Consumers
                                     Applications
                                       Copyright © 2010 Scott Brinker




Visible Marketing          Data Marketing
         8                   4%#8
Production


Quality
                               Branding
Control
              Linked
          Data Marketing
             4%#8

 Value
                            Promotion
Capture


              Tracking
                           Copyright © 2010 Scott Brinker
Roadmap




   Data for customers ——%#
   Data + search = SEO++ ——%#+$   =ü,$   
    

   Data branding ——%#   ,

   Data business models ——%#
8 Business Models for Linked Data
      4%# 8 
                     •Funded by government or non-profit/philanthropic mandate
1. Subsidized        •Regulatory requirement (cost of business in an industry)




                                                                                                 Direct
                     •Sell access to data feeds (or their freemium extensions)
2. Subscription      •Sell access to data-driven applications

                     •Sell paid placement inside data feeds (supply-side freemium)
3. Advertising       •Sponsor or sell advertising around data-driven applications




                                                                                                 Revenue
                     •Charge for official reviews and certifications (e.g., DB)
4. Authority         •Charge for data verification and compliance services

                     •E-commerce affiliate links embedded in data feeds
5. Affiliate Links   •E-commerce affiliate links in data-driven applications

                     •Data enhances paid application or service
6. Value-Add         •Data provided as a customer or lead incentive




                                                                                                 Indirect
                     •Search engine optimization (e.g., Google RichSnippets)
7. Traffic           •Traffic generation via linked open data networks

                     •Data sets, structures, and ontologies to shape market
8. Branding          •Data-driven applications for brand positioning



As Raw Data               Delivery                         As An Application         Copyright © 2010 Scott Brinker
7 Phases of Data
 %# 7D
     Human Insight


      Applications


    Application-Ready


       Distributed


        Validated


        Tagged 
         Linked


          Raw
          Data

                        Copyright © 2010 Scott Brinker
Thank you.
    Stanley
   May,2010

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Web 3 0数据营销市场分析

  • 1. Data Marketing %#8 Using Linked Data for Branding, Promotion & Profit ,8 Ñ Ü/ 4 %# by Stanley Du @SIWOW
  • 2. 1.0 Linking pages —— E 2.0 Linking people —— 3.0 Linking data —— 4%#
  • 3. $1 billion in social media marketing (i.e., Facebook, Twitter) this year. 10Ö Ú
  • 4. The 4P’s of Marketing 4P8 Product Pricing Placement Promotion
  • 5. Product, pricing, placement and promotion will all be effected by linked data. ( 4 %# How? ?
  • 6. Roadmap Data for customers ——%# Data + search = SEO++ ——%#+$ =ü,$ Data branding ——%# , Data business models ——%#
  • 7. Data helps us make decisions. %# Ù
  • 8. Data helps us impress our boss. %# Ù ü
  • 9. Data helps us persuade others. %# Ù
  • 10. Data is the fuel of 21st century. %#21
  • 11. Finding data is hard work. %#Ð 6
  • 12. And then we horde it in silos. + Ù %#
  • 13. But a new generation of companies is making data “open.” Ð üÜ%# %
  • 14. And a wave of linked data is on the way. 4 %# ) '
  • 15. Marketers love data. 8 ,% #
  • 16. If you love something, set it free. Ö Õ
  • 17. Instead of data about customers, data for customers. %# Ñ Ó
  • 18. Roadmap Data for customers ——%# Data + search = SEO++ ——%#+$ =ü,$ Data branding ——%# , Data business models ——%#
  • 19. Emerging marketing tactics, circa 2010 ——$
  • 20. Emerging marketing tactics, circa 2010 —— % 1,573 APIs 4,549 mashups
  • 21. SEO and web APIs are a qualitatively different kind of marketing tactic. $ % Ð ' /
  • 22. Data can help people find you. %# Ù
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. 15% higher click-through rate. ø 15% Source: Nick Cox, Yahoo!
  • 28. Better listing Catalyze a More virtuous clicks cycle. 6 Higher More rank visitors More links
  • 29.
  • 30. Microformats RDFa in existing pages %# E span xmlns:v=http://rdf.data-vocabulary.org/# typeof=v:Review- aggregate span property=v:itemreviewedThe Slanted Door/span span rel=v:rating span property=v:average”4.0/span /span span property=v:count”1698/span /span div xmlns:v=http://rdf.data-vocabulary.org/# typeof=v:Organization span property=v:nameThe Slanted Door/span span property=v:tel(415) 861-8032/span div rel=v:address span property=v:street-address1 Ferry Bldg/span span property=v:localitySan Francisco/span span property=v:regionCA/span span property=v:postal-code94111/span /div /div http://rdfa.info/ http://microformats.org/ http://www.google.com/support/webmasters/bin/topic.py?hl=entopic=21997
  • 31. Data SEO SEO++ Objects
  • 32.
  • 34. 30% increase in organic search engine traffic. ' $ 30% Source: Jay Myers, BestBuy
  • 35. SEO offers incentive budget for data $ %# Þ (millions) $5,078 in 4 years $2,805 this year Projected SEO spending in US Source: Forrester Research, Inc.
  • 36. Roadmap Data for customers ——%# Data + search = SEO++ ——%#+$ =ü,$ Data branding ——%# , Data business models ——%#
  • 37. “Data shapes conversations and markets.” %# 8 – Josh Jones-Dilworth
  • 38. What data, if widely disseminated, would grow your market? Ö %#
  • 39.
  • 40. What data would position you as a leading authority in your field? Ö %# 3Ó
  • 41.
  • 42. What data vocabularies (ontologies) will define your market? Ö %# '
  • 43.
  • 44. With SEO and web APIs, marketing has a different audience. $ % Ñ
  • 45. The data marketing ecosystem %#8 / Marketers Marketers Developers Data Consumers Consumers Applications Copyright © 2010 Scott Brinker Visible Marketing Data Marketing 8 4%#8
  • 46. Production Quality Branding Control Linked Data Marketing 4%#8 Value Promotion Capture Tracking Copyright © 2010 Scott Brinker
  • 47. Roadmap Data for customers ——%# Data + search = SEO++ ——%#+$ =ü,$ Data branding ——%# , Data business models ——%#
  • 48. 8 Business Models for Linked Data 4%# 8 •Funded by government or non-profit/philanthropic mandate 1. Subsidized •Regulatory requirement (cost of business in an industry) Direct •Sell access to data feeds (or their freemium extensions) 2. Subscription •Sell access to data-driven applications •Sell paid placement inside data feeds (supply-side freemium) 3. Advertising •Sponsor or sell advertising around data-driven applications Revenue •Charge for official reviews and certifications (e.g., DB) 4. Authority •Charge for data verification and compliance services •E-commerce affiliate links embedded in data feeds 5. Affiliate Links •E-commerce affiliate links in data-driven applications •Data enhances paid application or service 6. Value-Add •Data provided as a customer or lead incentive Indirect •Search engine optimization (e.g., Google RichSnippets) 7. Traffic •Traffic generation via linked open data networks •Data sets, structures, and ontologies to shape market 8. Branding •Data-driven applications for brand positioning As Raw Data Delivery As An Application Copyright © 2010 Scott Brinker
  • 49. 7 Phases of Data %# 7D Human Insight Applications Application-Ready Distributed Validated Tagged Linked Raw Data Copyright © 2010 Scott Brinker
  • 50. Thank you. Stanley May,2010