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Turning Twitter health conversations
into brand insight
                              Twitter intelligence for health and life sciences
                                                        www.starling140.com
Twitter Business Intelligence                                                  www.starling140.com   2




                   Twitter research on disease-related conversations

                   Over 500,000 tweets originating from more than 400,000 accounts
                                    collected in the first 30 days


                                  Research goals

                                  Understand disease discussions currently taking
                                  place on Twitter, specifically
                                      ‱ the volume of conversations around
                                         specific diseases
                                      ‱ the nature of topics discussed
                                      ‱ the types of stakeholders originating
                                         discussions

                                  Methodology

                                  ‱ Worldwide monitoring on English keywords
                                  ‱ Covering 36 diseases in 8 different specialties
                                  ‱ Interim results for 30 Jan-28 Feb 2013 (30 days)
Twitter Business Intelligence                                                                                                                               www.starling140.com         3




                    Twitter conversation volumes across disease areas
                                                                                                                                                               Thousands of tweets

                                                                                      Prostate cancer                  Cystic Fibrosis              Fibromyalgia
                                                                                            22.4                            12.5                         8.2


                      Hypertension                                                                                             Rheumatoid Arthritis
                          85.9                                                                                                        4.0
                                                                                                                      COPD                                Osteoporosis
                                                                                                                       6.6                                     8.3
                                                                    Breast cancer
                                                                        117.9



                                                                                                                                                   Gout
       Thromboses                                                                                                                                  15.0
           10.6
                                                                                   Lung cancer          AMD
                                           Crohn's                                    23.5               1.8
                                             5.0
                      CHF
                      13.7                                                                                                   Sleep Apnea
                                                                                                 Glaucoma                         4.6
                                                                                                    5.6                                                            Psoriasis
                                                                                                                                                                      7.0
                             Diabetes Type 1
                                   6.6                                                                                                   Osteoarthritis
                                                           HCV                                                                                2.8
    Angina                                                  9.7
      3.0                                                                                                                                                           ‱     Cardio
                                                                                                                                                                    ‱     Onco
                                  Diabetes Type 2
                                       12.7                                                                                                                         ‱     Gastro
                                                                           Colorectal cancer                                                                        ‱     Ophtha
                                                                                 10.1                       Asthma
             Cholesterol                                                                                      76.2                                                  ‱     Respiratory
                35.8                           Ulcerative colitis                                                                                                   ‱     Immunology
                                                      7.1                                                                                                           ‱     Endocrine
                                                                    HBV
                                                                     4.5                                                                                            ‱     Derma
                                                                              Source: Starling140 analysis, Q1 2013
Twitter Business Intelligence                                                                                     www.starling140.com   4




                                      Breakdown of disease discussions


                                                   Awareness
                                                     22%
                                                                                             Patient
                                                                                           Experience
                                                                                              33%


                                             Research
                                                8%


                                Healthcare
                                 Providers
                                    4%                                                       Diagnosis
                       Pharma/Industry                                                          7%
                              1%
                         Pricing     Regulatory                     Treatment
                           3%           4%                             18%

                                                         Who is discussing
      HCPs                Patients / Patient Groups                     Media                     Payers, Gov’t   Industry
      30%                            30%                                 20%                          15%            5%


                                                          Source: Starling140 analysis, Q1 2013
Twitter Business Intelligence                                      www.starling140.com   5



         The value of Twitter extends throughout the life cycle of a
                          pharmaceutical product


             Clinical trial      Stakeholder   Brand/ indication   Competitive
             monitoring          Engagement       extensions       intelligence




                                 Reputation      Compliance         Late-stage
            KOL discovery       management         Insights         positioning




             Stakeholder          Campaign
               insights,        Management &
              e.g. position,
              pricing, etc.
                                Media Buying




          PRE-LAUNCH            LAUNCH          GROWTH               MATURE
Twitter Business Intelligence                                                                                www.starling140.com   6




                                         Kevin Michels-Kim, Managing Partner
                                              kevin@starlingpartners.com
                                                   @ubermarketer


                                Download this report: http://bit.ly/twitterhealthinsights




                                                           Starling GmbH
                                                           BinzmĂŒhlestrasse 170a, 8050 ZĂŒrich, Switzerland
                                                           www.starling140.com

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Turning Twitter Health Conversations into Brand Insights

  • 1. Turning Twitter health conversations into brand insight Twitter intelligence for health and life sciences www.starling140.com
  • 2. Twitter Business Intelligence www.starling140.com 2 Twitter research on disease-related conversations Over 500,000 tweets originating from more than 400,000 accounts collected in the first 30 days Research goals Understand disease discussions currently taking place on Twitter, specifically ‱ the volume of conversations around specific diseases ‱ the nature of topics discussed ‱ the types of stakeholders originating discussions Methodology ‱ Worldwide monitoring on English keywords ‱ Covering 36 diseases in 8 different specialties ‱ Interim results for 30 Jan-28 Feb 2013 (30 days)
  • 3. Twitter Business Intelligence www.starling140.com 3 Twitter conversation volumes across disease areas Thousands of tweets Prostate cancer Cystic Fibrosis Fibromyalgia 22.4 12.5 8.2 Hypertension Rheumatoid Arthritis 85.9 4.0 COPD Osteoporosis 6.6 8.3 Breast cancer 117.9 Gout Thromboses 15.0 10.6 Lung cancer AMD Crohn's 23.5 1.8 5.0 CHF 13.7 Sleep Apnea Glaucoma 4.6 5.6 Psoriasis 7.0 Diabetes Type 1 6.6 Osteoarthritis HCV 2.8 Angina 9.7 3.0 ‱ Cardio ‱ Onco Diabetes Type 2 12.7 ‱ Gastro Colorectal cancer ‱ Ophtha 10.1 Asthma Cholesterol 76.2 ‱ Respiratory 35.8 Ulcerative colitis ‱ Immunology 7.1 ‱ Endocrine HBV 4.5 ‱ Derma Source: Starling140 analysis, Q1 2013
  • 4. Twitter Business Intelligence www.starling140.com 4 Breakdown of disease discussions Awareness 22% Patient Experience 33% Research 8% Healthcare Providers 4% Diagnosis Pharma/Industry 7% 1% Pricing Regulatory Treatment 3% 4% 18% Who is discussing HCPs Patients / Patient Groups Media Payers, Gov’t Industry 30% 30% 20% 15% 5% Source: Starling140 analysis, Q1 2013
  • 5. Twitter Business Intelligence www.starling140.com 5 The value of Twitter extends throughout the life cycle of a pharmaceutical product Clinical trial Stakeholder Brand/ indication Competitive monitoring Engagement extensions intelligence Reputation Compliance Late-stage KOL discovery management Insights positioning Stakeholder Campaign insights, Management & e.g. position, pricing, etc. Media Buying PRE-LAUNCH LAUNCH GROWTH MATURE
  • 6. Twitter Business Intelligence www.starling140.com 6 Kevin Michels-Kim, Managing Partner kevin@starlingpartners.com @ubermarketer Download this report: http://bit.ly/twitterhealthinsights Starling GmbH BinzmĂŒhlestrasse 170a, 8050 ZĂŒrich, Switzerland www.starling140.com