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Online Social Media Influence
    Assessment at



    May 2011




1
• Ranked #1 in Cleveland as per http://health.usnews.com Hospital rankings 2011-2012
•   Cleveland Clinic is a Not-for-Profit teaching hospital
•   One of the largest and most respected academic health center's in the world
•   More than 1,800 full-time physicians and scientists provide and contribute to patient care in 120 specialties and
    subspecialties
•   1,214-bed general medical and surgical facility with 54,038 annual admissions
•   “Patients First” is the guiding principle of Cleveland Clinic
•   Cleveland Clinic is consistently ranked among the top hospitals in America by U.S. News & World Report, and their heart
    and heart surgery program has been ranked No. 1 since 1995

• Traffic estimation: 30,000 to 100,000 visitors/month                                                Alexa Rank: 22,542
                                                                        Websites
                                                   http://my.clevelandclinic.org/default.aspx
                                                   http://www.youtube.com/ClevelandClinic
                                                   http://www.facebook.com/ClevelandClinic
                                                   http://www.twitter.com/ClevelandClinic
                                                   http://www.linkedin.com/company/cleveland-clinic
               2   | ©2011, Jayakumar Rajaretnam
FACEBOOK
PRESENCE, PENETRATION &
INFLUENCE ANALYSIS




3   | ©2011, Jayakumar Rajaretnam
27,665# people like the Page
                           Posts: 1352 | Feedback: 2487 | Likes: 4011

• The Wall has very recent posts
• Users are kept active through Awareness
  campaigns




                          Has neatly classified pages to
                          help users with basic queries




                                                                              Social media integration in
                                                                              the corporate webpage




          4   | ©2011, Jayakumar Rajaretnam          # As on 18th May, 2011
Understanding what posts
                                    triggered this spike in wall
                                    posts will enable Cleveland
                                    clinic to understand what
                                    their patients like/dislike and
                                    increase interactivity.




                                    Indicates the amount of
                                    interaction Cleveland Clinic
                                    was able to generate. A
                                    sentiment analysis will help
                                    gauge the quality of these
                                    posts and help Cleveland
                                    Clinic serve its patients
                                    better.



5   | ©2011, Jayakumar Rajaretnam
Posts & Comments peak
                                    between 2pm and 8pm for
                                    Cleveland Clinic. Hiring a
                                    dedicated person to monitor
                                    the Facebook wall and reply
                                    to comments during this time
                                    will increase the mindshare
                                    and possible word of mouth
                                    marketing opportunity for
                                    Cleveland Clinic.

                                    Availability of a social media
                                    champion between say 2pm
                                    and 8pm would not only
                                    create the maximum impact
                                    on the users but also on the
                                    indirect ROI it can generate.




6   | ©2011, Jayakumar Rajaretnam
• Influencers can directly influence 30% or more of overall end actions on brand
  websites by recommending the brand’s site, products or promotions to friends
• Studies have shown that on average, approximately 1% of a site’s audience
  generates 20% of all its traffic# through sharing of the brand’s content or site
  links with others
• And these “influencers” drive an even higher share of conversion


What to do with the numbers here?
 Identify who are the Top Influencers (the 1%) for your brand
 Analyze what this 1% likes to share
 Find out where these influencers go to connect & share (personal blogs)
 Interact more closely with these influencers
 Figure out what motivates this 1% to talk/share content (fame, fortune, or a
  bit of both)
 Invite them to the clinic and let them interact with physicians & stakeholders
 Make them the brand ambassadors




        7   | ©2011, Jayakumar Rajaretnam
                                       # Source: http://mashable.com/2010/04/15/social-media-influencers
Active Conversations for
                                                the selected period sorted
                                                based on “Likes”


                                                Active Conversations for
                                                the selected period sorted
                                                based on maximum
                                                Responses for a single
                                                post




Posts in this list needs to be
analyzed manually for those posts
that create the maximum impact.

Example: If an awareness campaign
or Q&A Post seems to be attracting a
lot of user involvement, then that has
to be used optimally at the right time.




            8   | ©2011, Jayakumar Rajaretnam
Each keyword is linked
                                                                     directly to the post or
                                                                     comment to enable the
                                                                     user to read & analyze if
                                                                     it was really a negative
                                                                     mention. This can be
                                                                     automated to some
                                                                     extent with paid tools.



9   | ©2011, Jayakumar Rajaretnam   Source: www.marketsentinel.com
Each keyword is
linked directly to the
post or comment for
further analysis.




             Finding the Top terms used by the users will enable Cleveland to come up with appropriate
             strategies and campaigns. It can also help predict a possible epidemic due to a false alarms.




            10    | ©2011, Jayakumar Rajaretnam
TWITTER
 PRESENCE, PENETRATION &
 INFLUENCE ANALYSIS




11   | ©2011, Jayakumar Rajaretnam
Tweets: 3,538 | Following: 601 | Followers: 10,979



• Custom Wallpaper/Theme used for
  the Twitter page to create uniqueness
• Tweets posted almost every
  30minutes to an hour

                          Influence score calculated
                          through Klout#




  Klout provides social media analytics that measures a
  users influence across their social network. Influence
  is measured by using data points from Twitter, such as:
  following count, follower count, retweets, list
  memberships, how many spam/dead accounts are
  following you, how influential the people that retweet you
  are, and unique mentions. This information is blended
  with Facebook data such as comment, likes, and the
  number of friends in your network to come up with a
  "Klout Score" that measures a user's online influence.



           12    | ©2011, Jayakumar Rajaretnam                 Tweets & Followers as on 18th May, 2011
Impact score is calculated as a combination of the following factors:

            •   The number of followers a user has
            •   The number of unique references and citations of the user in Twitter
            •   The frequency at which the user is uniquely retweeted
            •   The frequency at which the user is uniquely retweeting other people
            •   The relative frequency at which the user posts updates



                                               Most Commonly Used Hashtags
                            cchealthtip ccideas ccplasticsurgery ccsportshealth clemarathon indians

                                             Recent Topics according to PeerIndex
                                    biology breast cancer cancer health care medicine nutrition



Everyday Users: Everyday Customers are the people who live in your town
and could potentially walk in and spend money with you today. Use social
media to create awareness with them. Reach out to these folks and you’re
almost guaranteed that they’ll pass on their experience to their family and
friends. They’re all about word of mouth and sharing recommendations.
They’re unassuming, but vocal when given the chance.

     Based on initial analysis Cleveland Clinic seems to be using this
                        customer base effectively.




13   | ©2011, Jayakumar Rajaretnam
                                 Source: http://smallbiztrends.com/2010/07/the-5-types-of-influencers-on-the-web.html
Below tables will change based on the selected drill
                                          down




Tweet Density based on Time          Average Daily Tweets                  Interface used to Tweet




14   | ©2011, Jayakumar Rajaretnam
Helps identify
                                         Helps identify
                                     potential
                                           potential
                                     influencers
                                          influencers




15   | ©2011, Jayakumar Rajaretnam
Though there may be no
                                     correlation to tweeting and
                                     losing/      gaining       of
                                     followers, this will help
                                     determine if a particular
                                     tweet     /    topic     was
                                     responsible and if yes,
                                     take corrective actions to
                                     ensure the brand name is
                                     not affected in the future.




16   | ©2011, Jayakumar Rajaretnam
Twitter Username: ClevelandClinic
Tweeting Since: 2009-03-13 15:40:53 (2 years, 2 months, 6 days)


                                          Algorithm Factors:
                                              Number of Followers
                                              Power of Followers
                                              Updates
                                              Update Recency
                                              Follower/Following Ratio
                                              Engagement




     17   | ©2011, Jayakumar Rajaretnam
Authority Score: Measure of trust; how
                                     much can one rely on a person's
                                     recommendations and opinion on a given
                                     topic.

                                     Audience Score: Indication of the reach.
                                     Determined by the number of people who
                                     follow and the number of people who listen
                                     and are receptive to what you are saying.
                                     Being followed by large number of spam
                                     accounts/ inactive accounts will reduce the
                                     audience score.

                                     Activity Score: Activity is the measure of
                                     how much you do that is related to the topic
                                     area. Being too active or too inactive has a
                                     negative impact on people who are listening
                                     and the activity Score takes this behavior
                                     into account.




18   | ©2011, Jayakumar Rajaretnam
OTHER SOCIAL MEDIA
 PRESENCE, PENETRATION &
 INFLUENCE ANALYSIS




19   | ©2011, Jayakumar Rajaretnam
• Increases
                             visibility
                           • Helps promote
                             the company’s
                             business




                                             Studies have shown that
                                             active and updated status
                                             here has a positive impact
                                             on B2B and B2C
                                             businesses.




20   | ©2011, Jayakumar Rajaretnam
Strength is the likelihood that the brand is being discussed in social media. Calculation: Phrase
                   mentions within the last 24 hours divided by total possible mentions.

                   Sentiment is the ratio of mentions that are generally positive to those that are generally negative.

                   Passion is a measure of the likelihood that individuals talking about your brand will do so repeatedly.
                   Calculation: Small group of very passionate advocates talking about the products or brand all the time
                   equals a higher Passion score. Conversely if every mention is written by a different author you will
                   there will be a lower score.

                   Reach is a measure of the range of influence.
                   Calculation: Number of unique authors referencing the brand divided by the total number of mentions.




                     Helps identify at a
                     high level where all
                     Cleveland has been
                     spoken about




21   | ©2011, Jayakumar Rajaretnam
                          Social mention allows the user to download the data into an excel (CSV) to perform slice & dice operations
ANALYSIS & SCORING




22   | ©2011, Jayakumar Rajaretnam
1                                                                         2                                                                                                                                 3                                        4                                            5
                                                                                 Distribution                                                       Influencers (UIF)                                                                                                            Sentiment Score Policy                                                                              Others




                                                                                                                                                                                                                                                                                                                                                Corp. Website Intgn.
                                                                                                                                                                                                                                                                                                                          Social media policy
                                                                                                                                                                                                                       Social Networking




                                                                                                                                                                                                                                                                                                                                                                                                                   RSS/ Newsletters
                                                                                                                                                                                                                                                                                                                                                                                                   Apps/ Widgets
                                                                                                                   Photo Sharing




                                                                                                                                                          Blogs/Forums




                                                                                                                                                                                                                                                                                                                                                                       SEO Ranking
                                                                                                                                                                                                                                                                     Bookmarks




                                                                                                                                                                                                                                                                                                                                                                                     Mobile site
                                                                                                     Video Sites




                                                                                                                                                                                                                                                                                            Sentiment
                                                                                                                                                                         MicroBlog
                                                                     Facebook




                                                                                                                                   Check-ins
                                                                                                                                               Podcasts




                                                                                                                                                                                                                                                                                 Strength
                                                                                          LinkedIn




                                                                                                                                                                                                                                                                                                                Passion
                                                                                Twitter




                                                                                                                                                                                                                                                                                                        Reach
                          Hospital/Medical Center
Rank


                                  Weights                                                 25%                                                                            25%                                                                                                                    25%                               15%                                                    10%
                                  Max Pts                             5          5         2          2             2               2           2          2                   2                                             2                                        2           3          3          3        3          2                      2                    2             2             1                1
 1     Johns Hopkins Hospital, Baltimore, MD                          4          4 1.5 2                            2               2           2          2                                                                                                          2           0          0          1        1          0                      2                    2             2             0                1
 2     Mayo Clinic, Rochester, Minn., MN                              5          5         2          2             2               1           2          2                                                                                                          2           0          1          1        3          2                      2                    2             2             1                1
 3     Massachusetts General Hospital, Boston, MA                    3.5         3 1.5 2                            2               2           2          1                                                                                                         1.5 0                   1          1        2          2                      1 1.5 0                                          1                1
 4     Cleveland Clinic, OH                                           5          5         2          2             2               0           2          2                                                                                                          2           0          1          1        2          2                      2                    2             2             0                0




                                                                                                                                                                         Not scored due to lack of resources (tools)
                                                                                                                                                                                                                       Not scored due to lack of resources (tools)
 5     Ronald Reagan UCLA Medical Center, Los Angeles, CA             3          3         1          2             2               2           2          1                                                                                                         1.5 0                   1          0        2          0                      2                    1             2             0                1

       New York Presbyterian University Hospital of Columbia and
 6                                                                    0         0.5 1.5 2                           0               2           2          0                                                                                                          1           0          2          0        3          0                      0 1.5 2                                          0                1
       Cornell, NY

 7     University of California, San Francisco Medical Center, CA    2.5         2 1.5 1.5 0                                        0           0          0                                                                                                         0.5 0                   1          0        2          0                      2                    1             0             0                1

 8     Barnes-Jewish Hospital/Washington University, St. Louis, MO    3          3 1.5 2                            2               2           2          1                                                                                                         1.5 0                   2          0        2          2                      2                    1             0             0                1
 9     Hospital of the University of Pennsylvania, Philadelphia       2         1.5 1.5 2 0.5 2                                                 1          2                                                                                                         1.5 0                   1          0        2          0                      2                    1             2             0                1
 10 Duke University Medical Center, Durham, NC                        3          4 0.5 2                            2               1           2          1                                                                                                         1.5 0                   0          0        1          0                      2 1.5 2                                          0                1
 11 Brigham and Women's Hospital, Boston, OH                         3.5         3 1.5 2                            2               2           1          0                                                                                                          2           0          1          0        1          2                      0 1.5 0                                          0                1
 12 University of Washington Medical Center, Seattle, WA              0         3.5 0 1.5 2                                         1           2          0                                                                                                         0.5 0                   1          0        2          0                      1                    2             0             0                1
 13 UPMC-University of Pittsburgh Medical Center, PA                  3          3 1.5 1 1.5 0                                                  2          0                                                                                                         1.5 0                   0          1        2          2                      1                    2             0             0                1
       University of Michigan Hospitals and Health Centers, Ann
 14                                                                  3.5         4         2          2             0               2           2          0                                                                                                          1           0          1          0        1          2                      2                    2             0             0                1
       Arbor, MI


                  23     | ©2011, Jayakumar Rajaretnam
Facebook                                                                             Twitter




                                                                                                                                                                  Twitter Followers
                                                                                                                                Customized Page
                                                                                                               Facebook Grade




                                                                                                                                                                                                                                                   YouTube views
                                                                                               Facebook Rank
                                                                               Facebook Fans




                                                                                                                                                                                                    Twitter Grade
                                                                                                                                                  Overall Score




                                                                                                                                                                                                                                   Overall Score
                                                                                                                                                                                                                    Twitter Rank
                                                                                                                                                                                      Klout Score
                                                                                                                                                                                        Twitter
                                Hospital/Medical Center
Rank


                                        Max Pts                                000 000                         100                1                 5             000 100                           100             000              5             000
 1     Johns Hopkins Hospital, Baltimore, MD                                   12              12              79                 1                 4             7.7                   50          100             58               4
 2     Mayo Clinic, Rochester, Minn., MN                                       50              6.3             89                 1                 5             174                   69          100             13               5
 3     Massachusetts General Hospital, Boston, MA                                4             18              68                                 3.5             2.2                   49          98              166              3
 4     Cleveland Clinic, OH                                                    28              8.3             85                 1                 5             11                    65          100             34               5
 5     Ronald Reagan UCLA Medical Center, Los Angeles, CA                      1.7             24              59                                   3             1.5                   37          97              314              3
 6     New York-Presbyterian University Hospital of Columbia and Cornell, NY     0               0               0                0                 0               0                    0          48              999            0.5
 7     University of California, San Francisco Medical Center, CA              1.8             23              60                                 2.5             0.7                   27          94              567              2
 8     Barnes-Jewish Hospital/Washington University, St. Louis, WA             3.2             20              66                                   3             2.2                   44          98              162              3
 9     Hospital of the University of Pennsylvania, Philadelphia                  2             23              60                                   2             0.4                   44          90              929            1.5
 10    Duke University Medical Center, Durham, NC                              2.5             21              63                                   3             6.8                   48          100             80               4
 11    Brigham and Women's Hospital, Boston, OH                                3.8             18              68                                 3.5             2.4                   43          98              166              3
 12    University of Washington Medical Center, Seattle, WA                      0               0               0                0                 0             2.6                   47          98              139            3.5
 13    UPMC-University of Pittsburgh Medical Center                            2.8             20              65                                   3             2.2                   39          98              166              3
 14    University of Michigan Hospitals and Health Centers, Ann Arbor, MI      2.9             20              65                                 3.5             6.8                   49          100             67               4




            24    | ©2011, Jayakumar Rajaretnam
Social
                                                                                     Score
                                          Hospital/Medical Center                               Media
                                                                                    Weighted
     Rank                                                                                      Ranking

                                                  Weights                            100%
                                                  Max Pts                             50
      1     Johns Hopkins Hospital, Baltimore, MD                                     6.68       3
      2     Mayo Clinic, Rochester, Minn., MN                                         8.20       1
      3     Massachusetts General Hospital, Boston, MA                                6.43       4
      4     Cleveland Clinic, OH                                                      7.50       2
      5     Ronald Reagan UCLA Medical Center, Los Angeles, CA                        5.83       6
      6     New York Presbyterian University Hospital of Columbia and Cornell, NY     3.95       12
      7     University of California, San Francisco Medical Center, CA                3.25       14
      8     Barnes-Jewish Hospital/Washington University, St. Louis, MO               6.30       5
      9     Hospital of the University of Pennsylvania, Philadelphia                  4.95       10
      10    Duke University Medical Center, Durham, NC                                5.25       9
      11    Brigham and Women's Hospital, Boston, OH                                  5.30       8
      12    University of Washington Medical Center, Seattle, WA                      3.83       13
      13    UPMC-University of Pittsburgh Medical Center, PA                          4.88       11
      14    University of Michigan Hospitals and Health Centers, Ann Arbor, MI        5.53       7




25    | ©2011, Jayakumar Rajaretnam
THANK YOU!




26   | ©2011, Jayakumar Rajaretnam

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Cleveland Clinic Social Media Influence Assessment May2011

  • 1. Online Social Media Influence Assessment at May 2011 1
  • 2. • Ranked #1 in Cleveland as per http://health.usnews.com Hospital rankings 2011-2012 • Cleveland Clinic is a Not-for-Profit teaching hospital • One of the largest and most respected academic health center's in the world • More than 1,800 full-time physicians and scientists provide and contribute to patient care in 120 specialties and subspecialties • 1,214-bed general medical and surgical facility with 54,038 annual admissions • “Patients First” is the guiding principle of Cleveland Clinic • Cleveland Clinic is consistently ranked among the top hospitals in America by U.S. News & World Report, and their heart and heart surgery program has been ranked No. 1 since 1995 • Traffic estimation: 30,000 to 100,000 visitors/month Alexa Rank: 22,542 Websites http://my.clevelandclinic.org/default.aspx http://www.youtube.com/ClevelandClinic http://www.facebook.com/ClevelandClinic http://www.twitter.com/ClevelandClinic http://www.linkedin.com/company/cleveland-clinic 2 | ©2011, Jayakumar Rajaretnam
  • 3. FACEBOOK PRESENCE, PENETRATION & INFLUENCE ANALYSIS 3 | ©2011, Jayakumar Rajaretnam
  • 4. 27,665# people like the Page Posts: 1352 | Feedback: 2487 | Likes: 4011 • The Wall has very recent posts • Users are kept active through Awareness campaigns Has neatly classified pages to help users with basic queries Social media integration in the corporate webpage 4 | ©2011, Jayakumar Rajaretnam # As on 18th May, 2011
  • 5. Understanding what posts triggered this spike in wall posts will enable Cleveland clinic to understand what their patients like/dislike and increase interactivity. Indicates the amount of interaction Cleveland Clinic was able to generate. A sentiment analysis will help gauge the quality of these posts and help Cleveland Clinic serve its patients better. 5 | ©2011, Jayakumar Rajaretnam
  • 6. Posts & Comments peak between 2pm and 8pm for Cleveland Clinic. Hiring a dedicated person to monitor the Facebook wall and reply to comments during this time will increase the mindshare and possible word of mouth marketing opportunity for Cleveland Clinic. Availability of a social media champion between say 2pm and 8pm would not only create the maximum impact on the users but also on the indirect ROI it can generate. 6 | ©2011, Jayakumar Rajaretnam
  • 7. • Influencers can directly influence 30% or more of overall end actions on brand websites by recommending the brand’s site, products or promotions to friends • Studies have shown that on average, approximately 1% of a site’s audience generates 20% of all its traffic# through sharing of the brand’s content or site links with others • And these “influencers” drive an even higher share of conversion What to do with the numbers here?  Identify who are the Top Influencers (the 1%) for your brand  Analyze what this 1% likes to share  Find out where these influencers go to connect & share (personal blogs)  Interact more closely with these influencers  Figure out what motivates this 1% to talk/share content (fame, fortune, or a bit of both)  Invite them to the clinic and let them interact with physicians & stakeholders  Make them the brand ambassadors 7 | ©2011, Jayakumar Rajaretnam # Source: http://mashable.com/2010/04/15/social-media-influencers
  • 8. Active Conversations for the selected period sorted based on “Likes” Active Conversations for the selected period sorted based on maximum Responses for a single post Posts in this list needs to be analyzed manually for those posts that create the maximum impact. Example: If an awareness campaign or Q&A Post seems to be attracting a lot of user involvement, then that has to be used optimally at the right time. 8 | ©2011, Jayakumar Rajaretnam
  • 9. Each keyword is linked directly to the post or comment to enable the user to read & analyze if it was really a negative mention. This can be automated to some extent with paid tools. 9 | ©2011, Jayakumar Rajaretnam Source: www.marketsentinel.com
  • 10. Each keyword is linked directly to the post or comment for further analysis. Finding the Top terms used by the users will enable Cleveland to come up with appropriate strategies and campaigns. It can also help predict a possible epidemic due to a false alarms. 10 | ©2011, Jayakumar Rajaretnam
  • 11. TWITTER PRESENCE, PENETRATION & INFLUENCE ANALYSIS 11 | ©2011, Jayakumar Rajaretnam
  • 12. Tweets: 3,538 | Following: 601 | Followers: 10,979 • Custom Wallpaper/Theme used for the Twitter page to create uniqueness • Tweets posted almost every 30minutes to an hour Influence score calculated through Klout# Klout provides social media analytics that measures a users influence across their social network. Influence is measured by using data points from Twitter, such as: following count, follower count, retweets, list memberships, how many spam/dead accounts are following you, how influential the people that retweet you are, and unique mentions. This information is blended with Facebook data such as comment, likes, and the number of friends in your network to come up with a "Klout Score" that measures a user's online influence. 12 | ©2011, Jayakumar Rajaretnam Tweets & Followers as on 18th May, 2011
  • 13. Impact score is calculated as a combination of the following factors: • The number of followers a user has • The number of unique references and citations of the user in Twitter • The frequency at which the user is uniquely retweeted • The frequency at which the user is uniquely retweeting other people • The relative frequency at which the user posts updates Most Commonly Used Hashtags cchealthtip ccideas ccplasticsurgery ccsportshealth clemarathon indians Recent Topics according to PeerIndex biology breast cancer cancer health care medicine nutrition Everyday Users: Everyday Customers are the people who live in your town and could potentially walk in and spend money with you today. Use social media to create awareness with them. Reach out to these folks and you’re almost guaranteed that they’ll pass on their experience to their family and friends. They’re all about word of mouth and sharing recommendations. They’re unassuming, but vocal when given the chance. Based on initial analysis Cleveland Clinic seems to be using this customer base effectively. 13 | ©2011, Jayakumar Rajaretnam Source: http://smallbiztrends.com/2010/07/the-5-types-of-influencers-on-the-web.html
  • 14. Below tables will change based on the selected drill down Tweet Density based on Time Average Daily Tweets Interface used to Tweet 14 | ©2011, Jayakumar Rajaretnam
  • 15. Helps identify Helps identify potential potential influencers influencers 15 | ©2011, Jayakumar Rajaretnam
  • 16. Though there may be no correlation to tweeting and losing/ gaining of followers, this will help determine if a particular tweet / topic was responsible and if yes, take corrective actions to ensure the brand name is not affected in the future. 16 | ©2011, Jayakumar Rajaretnam
  • 17. Twitter Username: ClevelandClinic Tweeting Since: 2009-03-13 15:40:53 (2 years, 2 months, 6 days) Algorithm Factors:  Number of Followers  Power of Followers  Updates  Update Recency  Follower/Following Ratio  Engagement 17 | ©2011, Jayakumar Rajaretnam
  • 18. Authority Score: Measure of trust; how much can one rely on a person's recommendations and opinion on a given topic. Audience Score: Indication of the reach. Determined by the number of people who follow and the number of people who listen and are receptive to what you are saying. Being followed by large number of spam accounts/ inactive accounts will reduce the audience score. Activity Score: Activity is the measure of how much you do that is related to the topic area. Being too active or too inactive has a negative impact on people who are listening and the activity Score takes this behavior into account. 18 | ©2011, Jayakumar Rajaretnam
  • 19. OTHER SOCIAL MEDIA PRESENCE, PENETRATION & INFLUENCE ANALYSIS 19 | ©2011, Jayakumar Rajaretnam
  • 20. • Increases visibility • Helps promote the company’s business Studies have shown that active and updated status here has a positive impact on B2B and B2C businesses. 20 | ©2011, Jayakumar Rajaretnam
  • 21. Strength is the likelihood that the brand is being discussed in social media. Calculation: Phrase mentions within the last 24 hours divided by total possible mentions. Sentiment is the ratio of mentions that are generally positive to those that are generally negative. Passion is a measure of the likelihood that individuals talking about your brand will do so repeatedly. Calculation: Small group of very passionate advocates talking about the products or brand all the time equals a higher Passion score. Conversely if every mention is written by a different author you will there will be a lower score. Reach is a measure of the range of influence. Calculation: Number of unique authors referencing the brand divided by the total number of mentions. Helps identify at a high level where all Cleveland has been spoken about 21 | ©2011, Jayakumar Rajaretnam Social mention allows the user to download the data into an excel (CSV) to perform slice & dice operations
  • 22. ANALYSIS & SCORING 22 | ©2011, Jayakumar Rajaretnam
  • 23. 1 2 3 4 5 Distribution Influencers (UIF) Sentiment Score Policy Others Corp. Website Intgn. Social media policy Social Networking RSS/ Newsletters Apps/ Widgets Photo Sharing Blogs/Forums SEO Ranking Bookmarks Mobile site Video Sites Sentiment MicroBlog Facebook Check-ins Podcasts Strength LinkedIn Passion Twitter Reach Hospital/Medical Center Rank Weights 25% 25% 25% 15% 10% Max Pts 5 5 2 2 2 2 2 2 2 2 2 3 3 3 3 2 2 2 2 1 1 1 Johns Hopkins Hospital, Baltimore, MD 4 4 1.5 2 2 2 2 2 2 0 0 1 1 0 2 2 2 0 1 2 Mayo Clinic, Rochester, Minn., MN 5 5 2 2 2 1 2 2 2 0 1 1 3 2 2 2 2 1 1 3 Massachusetts General Hospital, Boston, MA 3.5 3 1.5 2 2 2 2 1 1.5 0 1 1 2 2 1 1.5 0 1 1 4 Cleveland Clinic, OH 5 5 2 2 2 0 2 2 2 0 1 1 2 2 2 2 2 0 0 Not scored due to lack of resources (tools) Not scored due to lack of resources (tools) 5 Ronald Reagan UCLA Medical Center, Los Angeles, CA 3 3 1 2 2 2 2 1 1.5 0 1 0 2 0 2 1 2 0 1 New York Presbyterian University Hospital of Columbia and 6 0 0.5 1.5 2 0 2 2 0 1 0 2 0 3 0 0 1.5 2 0 1 Cornell, NY 7 University of California, San Francisco Medical Center, CA 2.5 2 1.5 1.5 0 0 0 0 0.5 0 1 0 2 0 2 1 0 0 1 8 Barnes-Jewish Hospital/Washington University, St. Louis, MO 3 3 1.5 2 2 2 2 1 1.5 0 2 0 2 2 2 1 0 0 1 9 Hospital of the University of Pennsylvania, Philadelphia 2 1.5 1.5 2 0.5 2 1 2 1.5 0 1 0 2 0 2 1 2 0 1 10 Duke University Medical Center, Durham, NC 3 4 0.5 2 2 1 2 1 1.5 0 0 0 1 0 2 1.5 2 0 1 11 Brigham and Women's Hospital, Boston, OH 3.5 3 1.5 2 2 2 1 0 2 0 1 0 1 2 0 1.5 0 0 1 12 University of Washington Medical Center, Seattle, WA 0 3.5 0 1.5 2 1 2 0 0.5 0 1 0 2 0 1 2 0 0 1 13 UPMC-University of Pittsburgh Medical Center, PA 3 3 1.5 1 1.5 0 2 0 1.5 0 0 1 2 2 1 2 0 0 1 University of Michigan Hospitals and Health Centers, Ann 14 3.5 4 2 2 0 2 2 0 1 0 1 0 1 2 2 2 0 0 1 Arbor, MI 23 | ©2011, Jayakumar Rajaretnam
  • 24. Facebook Twitter Twitter Followers Customized Page Facebook Grade YouTube views Facebook Rank Facebook Fans Twitter Grade Overall Score Overall Score Twitter Rank Klout Score Twitter Hospital/Medical Center Rank Max Pts 000 000 100 1 5 000 100 100 000 5 000 1 Johns Hopkins Hospital, Baltimore, MD 12 12 79 1 4 7.7 50 100 58 4 2 Mayo Clinic, Rochester, Minn., MN 50 6.3 89 1 5 174 69 100 13 5 3 Massachusetts General Hospital, Boston, MA 4 18 68 3.5 2.2 49 98 166 3 4 Cleveland Clinic, OH 28 8.3 85 1 5 11 65 100 34 5 5 Ronald Reagan UCLA Medical Center, Los Angeles, CA 1.7 24 59 3 1.5 37 97 314 3 6 New York-Presbyterian University Hospital of Columbia and Cornell, NY 0 0 0 0 0 0 0 48 999 0.5 7 University of California, San Francisco Medical Center, CA 1.8 23 60 2.5 0.7 27 94 567 2 8 Barnes-Jewish Hospital/Washington University, St. Louis, WA 3.2 20 66 3 2.2 44 98 162 3 9 Hospital of the University of Pennsylvania, Philadelphia 2 23 60 2 0.4 44 90 929 1.5 10 Duke University Medical Center, Durham, NC 2.5 21 63 3 6.8 48 100 80 4 11 Brigham and Women's Hospital, Boston, OH 3.8 18 68 3.5 2.4 43 98 166 3 12 University of Washington Medical Center, Seattle, WA 0 0 0 0 0 2.6 47 98 139 3.5 13 UPMC-University of Pittsburgh Medical Center 2.8 20 65 3 2.2 39 98 166 3 14 University of Michigan Hospitals and Health Centers, Ann Arbor, MI 2.9 20 65 3.5 6.8 49 100 67 4 24 | ©2011, Jayakumar Rajaretnam
  • 25. Social Score Hospital/Medical Center Media Weighted Rank Ranking Weights 100% Max Pts 50 1 Johns Hopkins Hospital, Baltimore, MD 6.68 3 2 Mayo Clinic, Rochester, Minn., MN 8.20 1 3 Massachusetts General Hospital, Boston, MA 6.43 4 4 Cleveland Clinic, OH 7.50 2 5 Ronald Reagan UCLA Medical Center, Los Angeles, CA 5.83 6 6 New York Presbyterian University Hospital of Columbia and Cornell, NY 3.95 12 7 University of California, San Francisco Medical Center, CA 3.25 14 8 Barnes-Jewish Hospital/Washington University, St. Louis, MO 6.30 5 9 Hospital of the University of Pennsylvania, Philadelphia 4.95 10 10 Duke University Medical Center, Durham, NC 5.25 9 11 Brigham and Women's Hospital, Boston, OH 5.30 8 12 University of Washington Medical Center, Seattle, WA 3.83 13 13 UPMC-University of Pittsburgh Medical Center, PA 4.88 11 14 University of Michigan Hospitals and Health Centers, Ann Arbor, MI 5.53 7 25 | ©2011, Jayakumar Rajaretnam
  • 26. THANK YOU! 26 | ©2011, Jayakumar Rajaretnam

Notes de l'éditeur

  1. Topic Resonance Score: Measure of how your actions within a topic of interest to the community is resonant within the community.