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IBM Social Analytics - Putting the Science into
Social Business
Mark Heid, Program Director
Social Analytics Solutions,
IBM                                                       Dec 15, 2011
mheid@us.ibm.com




                                                                       © 2011 IBM Corporation
Agenda

 1       Why be an interactive, social business?



 2       The New Marketing Imperative



 3       IBM Leads in Social Analytics & Enterprise Marketing Management



 4       How to Get Started




     2                                                              © 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…

    3                                                  © 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
     4                            return on investment                  © 2011 IBM Corporation
IBM’s approach to integrated marketing




   Integrated Marketing

        Deep Customer Insight


        Optimized, Relevant Cross-Channel Marketing


        Consistent, Compelling Brand and Customer Experiences



    5                                                           © 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)




          6                                                                                                                                                  © 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)


    7                                                                 © 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…..
 * David C. Edelman, McKinsey, Dec 2010
          8                                                               © 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




  * David C. Edelman, McKinsey, Dec 2010
          9                                                                            © 2011 IBM Corporation
Agenda

 1        Why be an interactive, social business?



 2        The New Marketing Imperative



 3        IBM Leads in Social Analytics & Enterprise Marketing Management


 4        How to Get Started




     10                                                                     © 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
     11                                                            © 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




        12                                                                   © 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
           13        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.




   14                                                             © 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
                                                        Merchandising Mix
        Web Browsing        Expose patterns
                                                       Category Management
                                                              Sales
        Contact Center



         Social Media
                          Discover relationships

                         Map Aggregate Models to
                            1:1 User Profiles
   15                                                                 © 2011 IBM Corporation
Analytics Foundation: Feature Vectors & Action
  Clusters
             • Start with 30-40 modeled variables – “Feature Vectors”
             • Each feature vector is like a gene, which describes a facet, or set of customer behavior traits
             • 8-15 Feature Vectors are used to define Action Clusters, all 40 can be used to create sub-groups


                  5-dimensional typical segmentation ≈ 16,000 views
                  12-dimensional Action Clusters     ≈ 3,138,000,000,000 views
                  30 Feature Vectors                 ≈ 17,400,000,000,000,000,000,000,000,000,000 views
Action Clusters are:                                                                                                             Most segmentation
                                                                                                                                approaches only focus
• Highly homogeneous – it
  is difficult to get into a                                                                                                            here
  cluster based on 13
                                                                                          Econometric:                                  Age +
  dimensions, ensuring that                                                                                                Annual
                                                                        Time until        Real-estate &     Annual                    Income +
  the customers are very                                                                 Unemployment                   Transactions
  similar to one another                                Preferred    Repurchase in Key                    Spend Level                Geography
                                                         Product        Categories
• Highly differentiated –                   Preferred   Categories
  the AC process ensures as                  Channel
  much “distance” between
                             Length of Time
  clusters as possible        as Customer
• Highly actionable –
  because the clusters are                                                                                                           Participation in
  based on the customer’s                                                           Return /                                             Loyalty
                                                                                                 Use of Service   Use of In-House
  response to various                                                               Exchange
                                                                                                                    Credit Card         Program
  dimensions of the value                                            Breadth of     Behavior       Programs
  proposition, they                                                  Categories
  facilitate highly-specific                          Response to     Shopped
                                          Recency +
  targeting                                             Media
                                         Frequency +
                                            Value
            16                                                                                                                      © 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



    17
                                “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”
   18                                                                   © 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.




    19                                                                                     © 2011 IBM Corporation
Drill-Down: Web Analytics, Social Media and Predictive
Analytics
With web analytics and Cognos Consumer Insight data, we get more insights into other factors that may be
important in predicting item sales, such as conversations around “modern” designs, mattress and lounge
chairs, with a higher confidence level.




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




       20                                                                                  © 2011 IBM Corporation
Agenda

 1        Why be an interactive, social business?



 2        The New Marketing Imperative



 3        IBM Leads in Social Analytics & Enterprise Marketing Management


 4        How to Get Started




     21                                                          © 2011 IBM Corporation
Three types of media: Paid, Owned, Earned




                          Owned
                          media




                 Paid    Customer   Earned
                 media              media




   22                                        © 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


   23                                                                    © 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

   24                                                            © 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

   25                                            © 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


    26                                                     © 2011 IBM Corporation
3 simple steps to a great social strategy



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




    27                                      © 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
                                                                                      “owned” media outposts
                   “Earned” media feeds                                                 Social referrals and
                                                                                     downstream conversations




                                                 Social Email Analytics
                                               Links from emails and websites
                                                  that are shared, liked, and
                                                        commented on
     28                                                                                                               © 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




   29                                    © 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




    30                                             © 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




    31                                 © 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




    32                                  © 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.




   33                                © 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




   34                                                       © 2011 IBM Corporation
What is
Enterprise Marketing Management (EMM)?




  A marketing technology category that supports
       the end-to-end marketing function
         across all marketing disciplines




   35                                      © 2011 IBM Corporation
IBM Vision for the EMM Suite



                          Owned Media &
                        Interaction Channels
                              Owned
                               media



        Paid                                            Earned
        Media                                           Media
                Paid                           Earned
                media                          media




   36                                                            © 2011 IBM Corporation
IBM Vision for the EMM Suite



                       Owned Media &
                     Interaction Channels




        Paid                                               Earned
        Media                                  Brand       Media
                                            Optimization




   37                                                               © 2011 IBM Corporation
IBM Vision for the EMM Suite



                                 Owned Media &
                               Interaction Channels


                                   Interaction
                                  Optimization

        Paid                                                         Earned
        Media      Media            Marketing            Brand       Media
                Optimization        Analytics         Optimization
                                     Data &
                                    Content
                       Marketing Performance Optimization
                                Open Integration



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


39                      © 2011 IBM Corporation

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Social Analytics - Putting the Science into Social Business

  • 1. Webinar available here: http://w.on24.com/r.htm?e=272891&s=1&k=8EB9C4CBEB1C376A942A644887F45994 IBM Social Analytics - Putting the Science into Social Business Mark Heid, Program Director Social Analytics Solutions, IBM Dec 15, 2011 mheid@us.ibm.com © 2011 IBM Corporation
  • 2. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 IBM Leads in Social Analytics & Enterprise Marketing Management 4 How to Get Started 2 © 2011 IBM Corporation
  • 3. 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… 3 © 2011 IBM Corporation
  • 4. 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 4 return on investment © 2011 IBM Corporation
  • 5. IBM’s approach to integrated marketing Integrated Marketing Deep Customer Insight Optimized, Relevant Cross-Channel Marketing Consistent, Compelling Brand and Customer Experiences 5 © 2011 IBM Corporation
  • 6. 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) 6 © 2011 IBM Corporation
  • 7. Customers are the New Intellectual Property (Keep the promise) Customer Intimacy Decision Management Product Operational Leadership Excellence (Make the promise) (Deliver the promise) 7 © 2011 IBM Corporation
  • 8. 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….. * David C. Edelman, McKinsey, Dec 2010 8 © 2011 IBM Corporation
  • 9. 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 * David C. Edelman, McKinsey, Dec 2010 9 © 2011 IBM Corporation
  • 10. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 IBM Leads in Social Analytics & Enterprise Marketing Management 4 How to Get Started 10 © 2011 IBM Corporation
  • 11. 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 11 © 2011 IBM Corporation
  • 12. Social attributes will improve understanding and results Typical audience targeting: Social media informs interest, brand demographics disposition, likes/dislikes Mom Wife Accountant Golfer 12 © 2011 IBM Corporation
  • 13. 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 13 through third party © 2011 IBM Corporation
  • 14. 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. 14 © 2011 IBM Corporation
  • 15. 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 Merchandising Mix Web Browsing Expose patterns Category Management Sales Contact Center Social Media Discover relationships Map Aggregate Models to 1:1 User Profiles 15 © 2011 IBM Corporation
  • 16. Analytics Foundation: Feature Vectors & Action Clusters • Start with 30-40 modeled variables – “Feature Vectors” • Each feature vector is like a gene, which describes a facet, or set of customer behavior traits • 8-15 Feature Vectors are used to define Action Clusters, all 40 can be used to create sub-groups 5-dimensional typical segmentation ≈ 16,000 views 12-dimensional Action Clusters ≈ 3,138,000,000,000 views 30 Feature Vectors ≈ 17,400,000,000,000,000,000,000,000,000,000 views Action Clusters are: Most segmentation approaches only focus • Highly homogeneous – it is difficult to get into a here cluster based on 13 Econometric: Age + dimensions, ensuring that Annual Time until Real-estate & Annual Income + the customers are very Unemployment Transactions similar to one another Preferred Repurchase in Key Spend Level Geography Product Categories • Highly differentiated – Preferred Categories the AC process ensures as Channel much “distance” between Length of Time clusters as possible as Customer • Highly actionable – because the clusters are Participation in based on the customer’s Return / Loyalty Use of Service Use of In-House response to various Exchange Credit Card Program dimensions of the value Breadth of Behavior Programs proposition, they Categories facilitate highly-specific Response to Shopped Recency + targeting Media Frequency + Value 16 © 2011 IBM Corporation
  • 17. 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 17 “Traditional approach” © 2011 IBM Corporation
  • 18. …..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” 18 © 2011 IBM Corporation
  • 19. 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. 19 © 2011 IBM Corporation
  • 20. Drill-Down: Web Analytics, Social Media and Predictive Analytics With web analytics and Cognos Consumer Insight data, we get more insights into other factors that may be important in predicting item sales, such as conversations around “modern” designs, mattress and lounge chairs, with a higher confidence level. Key Social Media Insight: Referencing “Modern” really matters. This wasn’t picked-up with traditional predictive analytics 20 © 2011 IBM Corporation
  • 21. Agenda 1 Why be an interactive, social business? 2 The New Marketing Imperative 3 IBM Leads in Social Analytics & Enterprise Marketing Management 4 How to Get Started 21 © 2011 IBM Corporation
  • 22. Three types of media: Paid, Owned, Earned Owned media Paid Customer Earned media media 22 © 2011 IBM Corporation
  • 23. 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 23 © 2011 IBM Corporation
  • 24. 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 24 © 2011 IBM Corporation
  • 25. Paid Media Delivered through a third party or intermediary in exchange for payment. Traditional Digital Ads TV radio display Google PPC Ads outdoor print 25 © 2011 IBM Corporation
  • 26. 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 26 © 2011 IBM Corporation
  • 27. 3 simple steps to a great social strategy 1. Capture 2. Monitor and Analyze 3. Act and Engage 27 © 2011 IBM Corporation
  • 28. 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 “owned” media outposts “Earned” media feeds Social referrals and downstream conversations Social Email Analytics Links from emails and websites that are shared, liked, and commented on 28 © 2011 IBM Corporation
  • 29. 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 29 © 2011 IBM Corporation
  • 30. 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 30 © 2011 IBM Corporation
  • 31. 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 31 © 2011 IBM Corporation
  • 32. 2d. Monitor and Analyze Predictive Social Analytics with SPSS Social Media Analytics Predictive Social Analytics Social segmentation Predict behavior based on social attributes 32 © 2011 IBM Corporation
  • 33. 3a. Act and Engage Social Media Marketing Execution Social segmentation, social sharing, and real-time offers inside of social media widgets / applications. 33 © 2011 IBM Corporation
  • 34. 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 34 © 2011 IBM Corporation
  • 35. What is Enterprise Marketing Management (EMM)? A marketing technology category that supports the end-to-end marketing function across all marketing disciplines 35 © 2011 IBM Corporation
  • 36. IBM Vision for the EMM Suite Owned Media & Interaction Channels Owned media Paid Earned Media Media Paid Earned media media 36 © 2011 IBM Corporation
  • 37. IBM Vision for the EMM Suite Owned Media & Interaction Channels Paid Earned Media Brand Media Optimization 37 © 2011 IBM Corporation
  • 38. IBM Vision for the EMM Suite Owned Media & Interaction Channels Interaction Optimization Paid Earned Media Media Marketing Brand Media Optimization Analytics Optimization Data & Content Marketing Performance Optimization Open Integration 38 © 2011 IBM Corporation
  • 39. Mark Heid mheid@us.ibm.com twitter: @mheid 39 © 2011 IBM Corporation