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Social Analytics - Putting the
Science into Social Business
An InformationWeek & The BrainYard Webcast
               Sponsored by
Webcast Logistics
Today's Featured Presenter
 Webcast is here:
 http://w.on24.com/r.htm?e=272891&s=1&k=8EB9C4CBEB1C376A942A644887F45994&partnerref=IBM10




                                 Mark Heid
                                 Program Director
                                 Social Analytics at IBM
IBM Social Analytics - Putting the Science into
Social Business
Mark Heid, Program Director Social Analytics, IBM   March 1, 2012
Email: mheid@us.ibm.com
Twitter: @mheid




                                                          © 2011 IBM Corporation
Agenda

     1   Why be an interactive, social business?



     2   The New Marketing Imperative



     3   Social Analytics & Enterprise Marketing Management



     4   How to Get Started




5                                                             © 2011 IBM Corporation
Marketing’s Challenges…and Opportunities


                                      Years to reach        Tablet
    § Channels proliferate…            50M users:           2 Yrs


    § The Internet evolves…                         Facebook
                                                      3 Yrs

                                               Internet
    § The consumer is in control…                4 Yrs
                              Network of pages     Network of people
                                            TV
    § The rate of change accelerates…     13 Yrs


             Marketing’s role must evolve…

6                                                          © 2011 IBM Corporation
Expanding marketing’s role, and contribution
    to the business



                                    +             Transformative CMO

            Traditional CMO         Agenda:
                                    + Understand the customer in real time,
                                      across the business
    Agenda:
                                    + Anticipate customer needs
    ü Understand the market and     + Drive consistent, compelling interactions
      the customer                    across all channels
    ü Build awareness and demand    + Steward the customer experience across
    ü Steward the company’s brand     all touch points
    ü Drive brand strategy and      + Monitor and harness customer evangelism
      execution                     + Accountable for business outcomes and
7                                     return on investment                  © 2011 IBM Corporation
The vast majority of CMOs are underprepared to manage the
    impact of key changes in the marketing arena
     Underpreparedness
     Percent of CMOs reporting underpreparedness

                                                                                                           50%
                                Data explosion                                                                                 71%
                                  Social media                                                                              68%
              Growth of channel and device choices                                                                       65%
                Shifting consumer demographics                                                                         63%
                        Financial constraints                                                                      59%
                     Decreasing brand loyalty                                                                    57%
                   Growth market opportunities                                                                  56%
                           ROI accountability                                                                   56%
              Customer collaboration and influence                                                              56%
                       Privacy considerations                                                                  55%
                          Global outsourcing                                                                  54%
                    Regulatory considerations                                                             50%
                       Corporate transparency                                                            47%
    Source:      Q8 How prepared are you to manage the impact of the top 5 market factors that will have the most impact on your marketing organization over the next 3 to 5 years?
                 n=149 to 1141 (n = number of respondents who selected the factor as important)




8                                                                                                                                                               © 2011 IBM Corporation
Customers are the New Intellectual Property

                             (Keep the promise)

                                Customer
                                Intimacy




                                Decision
                               Management




           Product                                   Operational
          Leadership                                 Excellence
        (Make the promise)                        (Deliver the promise)


9                                                                         © 2011 IBM Corporation
We are seeing unprecedented upheaval in the
     consumer buying process
 In the past….there was a funnel

       •   Many Brands - Consumers start
           buying process with a large
           number of brands in mind
       • Fewer Brands: These choices are
         narrowed down to a few
       • Final Choice: A decision is made
         between the few
       • Buy: A purchase is made…
       • Post Purchase: Consumers’
         relationship with the brand is
         focused on the use of the product
         or service


      Today’s consumer buying process is far more dynamic and interactive…..
10    * David C. Edelman, McKinsey, Dec 2010                                   © 2011 IBM Corporation
Increasingly, customer acquisition is more nuanced.
     Generating loyalty is the new marketing imperative

 Social Analytics is the key to success in                      Gain insights and increase positive
 this new environment                                           sentiment in social conversations




                                      Accelerate re-purchase
                                    through propensity models
                                                                            Strengthen brand
                                                                               preference
                                                                           through advocacy




11    * David C. Edelman, McKinsey, Dec 2010                                               © 2011 IBM Corporation
Agenda

      1   Why be an interactive, social business?



      2   The New Marketing Imperative



      3   Social Analytics & Enterprise Marketing Management


      4   How to Get Started




12                                                             © 2011 IBM Corporation
Knowing the customer… involves creating a complete picture


                                      • Gender / Age
       Target                         • Geography         Demographics
      Audience                        • Income



                                      • Channel
                                      • Contact Time       Preferences
                                      • Value Buyer



                                      • Visit Frequency
                                      • Purchases          Behaviors
       Jane Cogswell                  • Lifecycle stage
       Demographic Profile
       • Financial Planner
       • Single                       • Hobbies
       • 28 years old                 • Family              Interests
       • Located in Boston, MA        • Lifestyle
13                                                                      © 2011 IBM Corporation
Social attributes will improve understanding and
     results

         Typical audience targeting:            Social media informs interest, brand
               demographics                           disposition, likes/dislikes

                Mom             Wife

Accountant                             Golfer




14                                                                            © 2011 IBM Corporation
Pulling together the whole scenario
                             Cookie=24601
     Rinse and                                                                 Email =jane@brainyjanie.com
                             Regular web site browser                                                                         Email and cookie are
     Repeat                                                                    Cookie =24601
                             Recently looked at green widgets                                                                   tied together
                                                                               Open rate: 73%
                             Comes to the web site and gets a cookie,          Click-through rate: 5%
 @BrainyJanie                browses, but does not buy
 Tweets sneak preview
 link, opened by 25                                                               Later receives an email with a
 friends                                                                          personal URL, and
                                                                                  clicks through to the web site.        Connections made between:
                                                                                                                         § Cookie and Email
 Jane gets an email
 invitation to                                                                                                           § House Hold and Cookie
 attend a sneak                                                                   Jane makes a purchase and              § Email and House Hold
 preview of Green                                                                 enters her email for the
 Widget 2.0 and                                                                   confirmation and address
 she can invite her                                                               for shipping
 friends via                                                                                                           Facebook ID
 Twitter.
                                                                                                                       And cookie tied together?
                                                                           Jane, loves her product
          Jane, tweets                                                     so much she becomes a
          about                                                            fan on The Facebook.
          #GreenWidget
                                                                                                             Channel                 ID
       @BrainyJanie                                                                                          Cookie                  24601
       Following 53
                                                                                                             Email                   jane@brainy.com
       Followed by 152
                                                                                                             Direct                  Jane Cogswell
                                                                        Facebook ID=01810
                                                                        210 Facebook friends                 Facebook                01810
                                                                        Born in Houston, TX                  Twitter                 BrainyJanie
                         Twitter handle appended                        Gadget’s Galore Fan
15                       through third party                                                                                         © 2011 IBM Corporation
An Example: SmartPhone User Personas




                              SPSS Modeler identifies clusters and maps the
                              authors in social media to personas established
                              from the CCI concepts and hotwords.




16                                                                     © 2011 IBM Corporation
Monetizing Social Media
               Execute at the individual level by mapping
                aggregate insights to 1:1 social media profiles
           Surveys, Focus
                            Capture, Analyse           Optimize Cross
               groups
                                & Model               Channel, Integrated
            Retailer POS
                                                         Campaigns
                                Extract trends
                Data


            E-Commerce                                    Marketing Campaigns
                                                              PR Activities

           Web Browsing
                                                           Merchandising Mix
                               Expose patterns
                                                          Category Management
                                                                 Sales
           Contact Center



            Social Media
                             Discover relationships

                            Map Aggregate Models to
                               1:1 User Profiles
17                                                                       © 2011 IBM Corporation
Social Media Improves Traditional Predictive Analytics

                                 High-value, dynamic approach
                             - source of competitive differentiation

                  Interaction data                         Attitudinal data
                  - E-Mail / chat transcripts              -Market Research
                  - Call center notes                      -Social Media
                  - Web Click-streams
                  - In person dialogues

                                          360 degree
                                      Customer View
                 Descriptive data                         Behavioral data
                 - Attributes                             - Orders
                 - Characteristics                        - Transactions
                 - Self-declared info                     - Payment history
                 - (Geo)demographics                      - Usage history



18
                                     “Traditional approach”                   © 2011 IBM Corporation
…..and more accurately answers “Why?”

                                   High-value, dynamic
                           - source of competitive differentiation

                Interaction data                         Attitudinal data
                - E-Mail / chat transcripts              - Opinions
                    How?
                - Call center notes
                - Web Click-streams                      Why?
                                                         - Preferences
                                                         - Needs & Desires
                - In person dialogues

                                        360 degree
                                    Customer View
                Descriptive data                         Behavioral data
                - Attributes                             - Orders
                - Characteristics                        - Transactions
                     Who?
                - Self-declared info
                - (Geo)demographics
                                                          What?
                                                         - Payment history
                                                         - Usage history



                                         “Traditional”
19                                                                           © 2011 IBM Corporation
Drill-Down: Web Analytics and Predictive Analytics

        With web analytics data alone, we get some insight into web metrics that are important in
        predicting item sales on an ecommerce website.




20                                                                                              © 2011 IBM Corporation
Drill-Down: Web Analytics, Social Media and Predictive
     Analytics
     With web analytics and Cognos Consumer Insight data, we get new insights into other factors that may be
     important in predicting item sales, such as conversations around “modern” designs.




                                                                 Key Social Media Insight:
                                                                 Messaging “modern” really
                                                                   matters. This wasn’t
                                                                 picked-up with traditional
                                                                    predictive analytics




21                                                                                              © 2011 IBM Corporation
Real-world Example: Predicting Advocacy
                                                        Online bloggers are clustered using the segmentation model
                                                           ACTION

                            Antagonist                 Social                   Advocate                                              Advocates: Scored population that is
                               x%                                                 x%                                                  regularly active on a high number of
DETRACTION/DISAGREEMENT




                                                     Personal                                                                                    brand concepts
                                           Skeptic                   Believer




                                                                                            ADVOCACY/AGREEMENT
                                             x%                        x%

                                                         Uncertain                                                                     Believers: Scored population that is
                                                           x%                                                                         either overall less active or only active
                                          Doubtful
                                                                                                                                      on a single or small group of concepts
                                                                     Consumer
                                            x%                          x%

                            Detractor                                           Supporter
                                                                                                                                        Uncertain: The majority of posters
                               x%                                                  x%
                                                * SEGMENTS REPRESENTATIVE
                                                                                                                                         “casually” discuss the product.
                                                         INACTION




                                         A predictive model uses posting patterns to identify the propensity of a blogger to
                                                       be moved into a more positive participation segment



                          93 (1.84%)                                                                             339 (6.72%)     5 (0.1%)                     259 (5.13%)
                          353 (7.0%)                                                                             97 (1.92%)      152 (3%)                     471 (9.34%)
                          4599 (91.16%)                                                                          74 (1.47%)      0 (0%)                       4315 (85.3%)
                                    Current State                                                                Predicted Movement                     Future State




                                                                                                                                                                    © 2011 IBM Corporation
Social Analytics – Integrated with Social Business




                                                     © 2011 IBM Corporation
IBM HR Social Intelligence Dashboard




                                       © 2011 IBM Corporation
Agenda

      1   Why be an interactive, social business?



      2   The New Marketing Imperative



      3   Social Analytics & Enterprise Marketing Management


      4   How to Get Started




25                                                             © 2011 IBM Corporation
Three types of media: Paid, Owned, Earned




                               Owned
                               media




                      Paid    Customer   Earned
                      media              media




26                                                © 2011 IBM Corporation
Earned Media




                Delivered through a third party
                without exchange of payment.

           Traditional                                         Digital
            § Public relations                                 • Twitter
                                                      social
              generated news                          media    • Blogs
                                 PR
            § Analyst coverage                                 • Product reviews

                                      word of mouth


27                                                                           © 2011 IBM Corporation
Owned Media




      Media, content, and channels that the company
       directly delivers, has control over, or owns.

                 Traditional                      Digital
                                                                           Includes
        DIRECT MAIL    POS     CALL CENTER    WEB SITE     EMAIL      off domain digital
                                                                           outposts




           ATM        BRANCH      KIOSK      MICROSITES   FAN PAGES

28                                                                    © 2011 IBM Corporation
Paid Media




      Delivered through a third party or intermediary
                in exchange for payment.

            Traditional                Digital
                                          Ads

            TV       radio                display


                                       Google   PPC

                       Ads
           outdoor
                     print

29                                                    © 2011 IBM Corporation
Looking ahead – The future must be intelligent marketing that
     understands the interrelations of all channels and media


                                              e


                                    Owned
                                    media




                                                                   PR
                          Paid     Customer       Earned
                  Ads     media                   media


              Google                                            Google


30                                                              © 2011 IBM Corporation
3 simple steps to a great social strategy


      1. Capture
      2. Monitor and Analyze
      3. Act and Engage




31                                               © 2011 IBM Corporation
1. Capture


Social
Sources     FORUMS/       MICROBLOGS   VIDEO SHARING         SOCIAL           WIKIS    PHOTO S       SOCIAL MEDIA     BLOGS
          NEWSGROUPS                                      NETWORKS                     HARING            NEWS
                                                       (Publicly available)                                         100+ million
           120+ million                                                                              AGGREGATORS




                     Consumer Insight
                                                                                                 Social
                    “Earned” media feeds
                                                                                       “owned” media outposts
                                                                                         Social referrals and
                                                                                      downstream conversations




                                                  Social Email Analytics
                                                Links from emails and websites
                                                   that are shared, liked, and
                                                         commented on
32                                                                                                                     © 2011 IBM Corporation
2a. Monitor and Analyze “Earned” Media
     Social Media Analytics with CCI
       Social Media Analytics


             Consumer Insight
         Analyze “earned” social media,
           identify brand sentiment,
                emerging topics




33                                            © 2011 IBM Corporation
2b. Monitor and Analyze
     “Owned” Social Analytics and ROI with Coremetrics Social
       Social Media Analytics



                   Social
            Analysis of “owned”
               media outposts
          ROI of social clickthroughs




34                                                      © 2011 IBM Corporation
2c. Monitor and Analyze
     Social Email Analytics with Unica
       Social Media Analytics


         Social Email Analytics
        Analytics for email and web links
          that are shared, liked, and
                 commented on




35                                          © 2011 IBM Corporation
2d. Monitor and Analyze
     Predictive Social Analytics with SPSS
       Social Media Analytics


         Predictive Social Analytics
               Social segmentation
         Predict behavior based on social
                    attributes




36                                           © 2011 IBM Corporation
3a. Act and Engage



        Social Media
      Marketing Execution
              Social segmentation,
               social sharing, and
            real-time offers inside of
             social media widgets /
                   applications.




37                                       © 2011 IBM Corporation
3b. Act and Engage

                                            Social Media
                                 Customer Experience Suite
                                       Business Execution
         Social Media
       Business Execution
           Social commerce,
         branded communities,
             social widgets,
          product ratings, and
                 more…

                                         Social Media
                                       Business Execution




38                                                           © 2011 IBM Corporation
Mark Heid
                                     mheid@us.ibm.com
                                      twitter: @mheid




     For more on Social Anaytics,
      search within SlideShare for
     “Mark Heid IBM” to get these
                  presentations….



39                                                      © 2011 IBM Corporation
Q&A Session




              Mark Heid
              Program Director
              Social Analytics at IBM
Thank you for attending!

   To View This or Other Events On-Demand Please Visit:
         http://informationweek.com/events/past


            For more information please visit:
                 www.ibm.com/social

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Social Analytics - Putting Science into Social Business

  • 1. Social Analytics - Putting the Science into Social Business An InformationWeek & The BrainYard Webcast Sponsored by
  • 3. Today's Featured Presenter Webcast is here: http://w.on24.com/r.htm?e=272891&s=1&k=8EB9C4CBEB1C376A942A644887F45994&partnerref=IBM10 Mark Heid Program Director Social Analytics at IBM
  • 4. IBM Social Analytics - Putting the Science into Social Business Mark Heid, Program Director Social Analytics, IBM March 1, 2012 Email: mheid@us.ibm.com Twitter: @mheid © 2011 IBM Corporation
  • 5. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 Social Analytics & Enterprise Marketing Management 4 How to Get Started 5 © 2011 IBM Corporation
  • 6. Marketing’s Challenges…and Opportunities Years to reach Tablet § Channels proliferate… 50M users: 2 Yrs § The Internet evolves… Facebook 3 Yrs Internet § The consumer is in control… 4 Yrs Network of pages Network of people TV § The rate of change accelerates… 13 Yrs Marketing’s role must evolve… 6 © 2011 IBM Corporation
  • 7. Expanding marketing’s role, and contribution to the business + Transformative CMO Traditional CMO Agenda: + Understand the customer in real time, across the business Agenda: + Anticipate customer needs ü Understand the market and + Drive consistent, compelling interactions the customer across all channels ü Build awareness and demand + Steward the customer experience across ü Steward the company’s brand all touch points ü Drive brand strategy and + Monitor and harness customer evangelism execution + Accountable for business outcomes and 7 return on investment © 2011 IBM Corporation
  • 8. The vast majority of CMOs are underprepared to manage the impact of key changes in the marketing arena Underpreparedness Percent of CMOs reporting underpreparedness 50% Data explosion 71% Social media 68% Growth of channel and device choices 65% Shifting consumer demographics 63% Financial constraints 59% Decreasing brand loyalty 57% Growth market opportunities 56% ROI accountability 56% Customer collaboration and influence 56% Privacy considerations 55% Global outsourcing 54% Regulatory considerations 50% Corporate transparency 47% Source: Q8 How prepared are you to manage the impact of the top 5 market factors that will have the most impact on your marketing organization over the next 3 to 5 years? n=149 to 1141 (n = number of respondents who selected the factor as important) 8 © 2011 IBM Corporation
  • 9. Customers are the New Intellectual Property (Keep the promise) Customer Intimacy Decision Management Product Operational Leadership Excellence (Make the promise) (Deliver the promise) 9 © 2011 IBM Corporation
  • 10. We are seeing unprecedented upheaval in the consumer buying process In the past….there was a funnel • Many Brands - Consumers start buying process with a large number of brands in mind • Fewer Brands: These choices are narrowed down to a few • Final Choice: A decision is made between the few • Buy: A purchase is made… • Post Purchase: Consumers’ relationship with the brand is focused on the use of the product or service Today’s consumer buying process is far more dynamic and interactive….. 10 * David C. Edelman, McKinsey, Dec 2010 © 2011 IBM Corporation
  • 11. Increasingly, customer acquisition is more nuanced. Generating loyalty is the new marketing imperative Social Analytics is the key to success in Gain insights and increase positive this new environment sentiment in social conversations Accelerate re-purchase through propensity models Strengthen brand preference through advocacy 11 * David C. Edelman, McKinsey, Dec 2010 © 2011 IBM Corporation
  • 12. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 Social Analytics & Enterprise Marketing Management 4 How to Get Started 12 © 2011 IBM Corporation
  • 13. Knowing the customer… involves creating a complete picture • Gender / Age Target • Geography Demographics Audience • Income • Channel • Contact Time Preferences • Value Buyer • Visit Frequency • Purchases Behaviors Jane Cogswell • Lifecycle stage Demographic Profile • Financial Planner • Single • Hobbies • 28 years old • Family Interests • Located in Boston, MA • Lifestyle 13 © 2011 IBM Corporation
  • 14. Social attributes will improve understanding and results Typical audience targeting: Social media informs interest, brand demographics disposition, likes/dislikes Mom Wife Accountant Golfer 14 © 2011 IBM Corporation
  • 15. Pulling together the whole scenario Cookie=24601 Rinse and Email =jane@brainyjanie.com Regular web site browser Email and cookie are Repeat Cookie =24601 Recently looked at green widgets tied together Open rate: 73% Comes to the web site and gets a cookie, Click-through rate: 5% @BrainyJanie browses, but does not buy Tweets sneak preview link, opened by 25 Later receives an email with a friends personal URL, and clicks through to the web site. Connections made between: § Cookie and Email Jane gets an email invitation to § House Hold and Cookie attend a sneak Jane makes a purchase and § Email and House Hold preview of Green enters her email for the Widget 2.0 and confirmation and address she can invite her for shipping friends via Facebook ID Twitter. And cookie tied together? Jane, loves her product Jane, tweets so much she becomes a about fan on The Facebook. #GreenWidget Channel ID @BrainyJanie Cookie 24601 Following 53 Email jane@brainy.com Followed by 152 Direct Jane Cogswell Facebook ID=01810 210 Facebook friends Facebook 01810 Born in Houston, TX Twitter BrainyJanie Twitter handle appended Gadget’s Galore Fan 15 through third party © 2011 IBM Corporation
  • 16. An Example: SmartPhone User Personas SPSS Modeler identifies clusters and maps the authors in social media to personas established from the CCI concepts and hotwords. 16 © 2011 IBM Corporation
  • 17. Monetizing Social Media Execute at the individual level by mapping aggregate insights to 1:1 social media profiles Surveys, Focus Capture, Analyse Optimize Cross groups & Model Channel, Integrated Retailer POS Campaigns Extract trends Data E-Commerce Marketing Campaigns PR Activities Web Browsing Merchandising Mix Expose patterns Category Management Sales Contact Center Social Media Discover relationships Map Aggregate Models to 1:1 User Profiles 17 © 2011 IBM Corporation
  • 18. Social Media Improves Traditional Predictive Analytics High-value, dynamic approach - source of competitive differentiation Interaction data Attitudinal data - E-Mail / chat transcripts -Market Research - Call center notes -Social Media - Web Click-streams - In person dialogues 360 degree Customer View Descriptive data Behavioral data - Attributes - Orders - Characteristics - Transactions - Self-declared info - Payment history - (Geo)demographics - Usage history 18 “Traditional approach” © 2011 IBM Corporation
  • 19. …..and more accurately answers “Why?” High-value, dynamic - source of competitive differentiation Interaction data Attitudinal data - E-Mail / chat transcripts - Opinions How? - Call center notes - Web Click-streams Why? - Preferences - Needs & Desires - In person dialogues 360 degree Customer View Descriptive data Behavioral data - Attributes - Orders - Characteristics - Transactions Who? - Self-declared info - (Geo)demographics What? - Payment history - Usage history “Traditional” 19 © 2011 IBM Corporation
  • 20. Drill-Down: Web Analytics and Predictive Analytics With web analytics data alone, we get some insight into web metrics that are important in predicting item sales on an ecommerce website. 20 © 2011 IBM Corporation
  • 21. Drill-Down: Web Analytics, Social Media and Predictive Analytics With web analytics and Cognos Consumer Insight data, we get new insights into other factors that may be important in predicting item sales, such as conversations around “modern” designs. Key Social Media Insight: Messaging “modern” really matters. This wasn’t picked-up with traditional predictive analytics 21 © 2011 IBM Corporation
  • 22. Real-world Example: Predicting Advocacy Online bloggers are clustered using the segmentation model ACTION Antagonist Social Advocate Advocates: Scored population that is x% x% regularly active on a high number of DETRACTION/DISAGREEMENT Personal brand concepts Skeptic Believer ADVOCACY/AGREEMENT x% x% Uncertain Believers: Scored population that is x% either overall less active or only active Doubtful on a single or small group of concepts Consumer x% x% Detractor Supporter Uncertain: The majority of posters x% x% * SEGMENTS REPRESENTATIVE “casually” discuss the product. INACTION A predictive model uses posting patterns to identify the propensity of a blogger to be moved into a more positive participation segment 93 (1.84%) 339 (6.72%) 5 (0.1%) 259 (5.13%) 353 (7.0%) 97 (1.92%) 152 (3%) 471 (9.34%) 4599 (91.16%) 74 (1.47%) 0 (0%) 4315 (85.3%) Current State Predicted Movement Future State © 2011 IBM Corporation
  • 23. Social Analytics – Integrated with Social Business © 2011 IBM Corporation
  • 24. IBM HR Social Intelligence Dashboard © 2011 IBM Corporation
  • 25. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 Social Analytics & Enterprise Marketing Management 4 How to Get Started 25 © 2011 IBM Corporation
  • 26. Three types of media: Paid, Owned, Earned Owned media Paid Customer Earned media media 26 © 2011 IBM Corporation
  • 27. Earned Media Delivered through a third party without exchange of payment. Traditional Digital § Public relations • Twitter social generated news media • Blogs PR § Analyst coverage • Product reviews word of mouth 27 © 2011 IBM Corporation
  • 28. Owned Media Media, content, and channels that the company directly delivers, has control over, or owns. Traditional Digital Includes DIRECT MAIL POS CALL CENTER WEB SITE EMAIL off domain digital outposts ATM BRANCH KIOSK MICROSITES FAN PAGES 28 © 2011 IBM Corporation
  • 29. Paid Media Delivered through a third party or intermediary in exchange for payment. Traditional Digital Ads TV radio display Google PPC Ads outdoor print 29 © 2011 IBM Corporation
  • 30. Looking ahead – The future must be intelligent marketing that understands the interrelations of all channels and media e Owned media PR Paid Customer Earned Ads media media Google Google 30 © 2011 IBM Corporation
  • 31. 3 simple steps to a great social strategy 1. Capture 2. Monitor and Analyze 3. Act and Engage 31 © 2011 IBM Corporation
  • 32. 1. Capture Social Sources FORUMS/ MICROBLOGS VIDEO SHARING SOCIAL WIKIS PHOTO S SOCIAL MEDIA BLOGS NEWSGROUPS NETWORKS HARING NEWS (Publicly available) 100+ million 120+ million AGGREGATORS Consumer Insight Social “Earned” media feeds “owned” media outposts Social referrals and downstream conversations Social Email Analytics Links from emails and websites that are shared, liked, and commented on 32 © 2011 IBM Corporation
  • 33. 2a. Monitor and Analyze “Earned” Media Social Media Analytics with CCI Social Media Analytics Consumer Insight Analyze “earned” social media, identify brand sentiment, emerging topics 33 © 2011 IBM Corporation
  • 34. 2b. Monitor and Analyze “Owned” Social Analytics and ROI with Coremetrics Social Social Media Analytics Social Analysis of “owned” media outposts ROI of social clickthroughs 34 © 2011 IBM Corporation
  • 35. 2c. Monitor and Analyze Social Email Analytics with Unica Social Media Analytics Social Email Analytics Analytics for email and web links that are shared, liked, and commented on 35 © 2011 IBM Corporation
  • 36. 2d. Monitor and Analyze Predictive Social Analytics with SPSS Social Media Analytics Predictive Social Analytics Social segmentation Predict behavior based on social attributes 36 © 2011 IBM Corporation
  • 37. 3a. Act and Engage Social Media Marketing Execution Social segmentation, social sharing, and real-time offers inside of social media widgets / applications. 37 © 2011 IBM Corporation
  • 38. 3b. Act and Engage Social Media Customer Experience Suite Business Execution Social Media Business Execution Social commerce, branded communities, social widgets, product ratings, and more… Social Media Business Execution 38 © 2011 IBM Corporation
  • 39. Mark Heid mheid@us.ibm.com twitter: @mheid For more on Social Anaytics, search within SlideShare for “Mark Heid IBM” to get these presentations…. 39 © 2011 IBM Corporation
  • 40. Q&A Session Mark Heid Program Director Social Analytics at IBM
  • 41. Thank you for attending! To View This or Other Events On-Demand Please Visit: http://informationweek.com/events/past For more information please visit: www.ibm.com/social