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USING SOCIAL MEDIA ANALYTICS
             TO
INFORM INVESTMENT DECISIONS
This presentation is intended for
 discussion only. The views expressed
accurately reflect the personal views of
the author, Simon Ryan. The author has
      not and will not receive any
 compensation for providing a specific
    recommendation or view in this
             presentation.
The number of people that choose to
  communicate using social media
are measured in the 100’s of millions
900
million users
                Source:Wikipedia,,April2012
500
million users
                Source:Wikipedia,March2011
490
million users
                Source: Quora, January2011
124
million users
                Source: VKWebsite, August2012
160       100
 million users
                 Source:Wikipedia,November2011
300 480 268
  million users
                  Source:Wikipedia,November2011
41%
…of consumers who use social media are
  actually influenced by positive and
 negative comments about brands and
    companies on social media sites.

                                 Source:YouGov, April2012
So we monitor, analyse and report
on our brand, products, customers
         and competitors
www.edfenergy.com/energy-of-the-nation
www.metro.co.uk/olympics/907250-twitters-olympic-mood-beamed-to-world-from-edf-energy-london-eye
We can assess the nature of conversations




     We can quantify conversations
We can estimate the
     Impact
     on sales
Negative sentiment has
        most influence on sales


          Neutral messages carry brand
          messages – effective for reaching
          early adopters

Positive feelings are persuasive for
brands with have high recognition
Brands have an incentive to get involved in the social media process




Brands should positively manage anything leading to negative situations
•   People talk about brands and what they say affects sales
•   Using social media enables consumers views to reach beyond
    their immediate networks
•   Having an increased effect on sales
•   Their use of social media allows us to track and measure
    what is being said
•   This information can predict earnings
                             …earnings drive share price
SIMON J. RYAN
                                                                              MOBILE:     +447 446 119 778
                                                                              E MAIL:     SIMONRYAN.UK@GMAIL.COM
                                                                              TWITTER     SIMONJRYAN
                                                                              BLOGSPOT    SIMONJRYAN




                     Twittermoodpredictsthestockmarket                                         Thejunk sciencebehindthe‘TwitterHedgeFund’
                     JohanBollen,HuinaMao,Xiao-JunZeng                                         BenShneidermanetal
                     JournalofComputationalScience,2(1),March2011, Pages1-8                    http://sellthenews.tumblr.com/post/21067996377/noitdoesnot




                                                                                               Adynamicmodeloftheeffectofonlinecommunicationsonfirmsales
                     Adynamicmodeloftheeffectofonlinecommunicationsonfirm                      RochesterCahan/YinLuo/Miguel-AAlvarez/JavedJussa/Zongye
                     sales                                                                     Chen/ShengWang
                     GarrettP.Sonnier,LeighMcAlister,andOliverJ.Rutz                           https://www.recordedfuture.com/assets/SignalProcessing20111118.pd
                     MarketingScienceJune2011mksc.1110.0642                                    f




This presentation is intended for discussion only. The views expressed accurately reflect the personal views of the author, Simon Ryan.
       The author has not and will not receive any compensation for providing a specific recommendation or view in this report.

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Investing from social media analytics

  • 1. USING SOCIAL MEDIA ANALYTICS TO INFORM INVESTMENT DECISIONS
  • 2. This presentation is intended for discussion only. The views expressed accurately reflect the personal views of the author, Simon Ryan. The author has not and will not receive any compensation for providing a specific recommendation or view in this presentation.
  • 3.
  • 4. The number of people that choose to communicate using social media are measured in the 100’s of millions
  • 5. 900 million users Source:Wikipedia,,April2012
  • 6. 500 million users Source:Wikipedia,March2011
  • 7. 490 million users Source: Quora, January2011
  • 8. 124 million users Source: VKWebsite, August2012
  • 9. 160 100 million users Source:Wikipedia,November2011
  • 10. 300 480 268 million users Source:Wikipedia,November2011
  • 11. 41% …of consumers who use social media are actually influenced by positive and negative comments about brands and companies on social media sites. Source:YouGov, April2012
  • 12. So we monitor, analyse and report on our brand, products, customers and competitors
  • 15. We can assess the nature of conversations We can quantify conversations
  • 16. We can estimate the Impact on sales
  • 17. Negative sentiment has most influence on sales Neutral messages carry brand messages – effective for reaching early adopters Positive feelings are persuasive for brands with have high recognition
  • 18. Brands have an incentive to get involved in the social media process Brands should positively manage anything leading to negative situations
  • 19. People talk about brands and what they say affects sales • Using social media enables consumers views to reach beyond their immediate networks • Having an increased effect on sales • Their use of social media allows us to track and measure what is being said • This information can predict earnings …earnings drive share price
  • 20. SIMON J. RYAN MOBILE: +447 446 119 778 E MAIL: SIMONRYAN.UK@GMAIL.COM TWITTER SIMONJRYAN BLOGSPOT SIMONJRYAN Twittermoodpredictsthestockmarket Thejunk sciencebehindthe‘TwitterHedgeFund’ JohanBollen,HuinaMao,Xiao-JunZeng BenShneidermanetal JournalofComputationalScience,2(1),March2011, Pages1-8 http://sellthenews.tumblr.com/post/21067996377/noitdoesnot Adynamicmodeloftheeffectofonlinecommunicationsonfirmsales Adynamicmodeloftheeffectofonlinecommunicationsonfirm RochesterCahan/YinLuo/Miguel-AAlvarez/JavedJussa/Zongye sales Chen/ShengWang GarrettP.Sonnier,LeighMcAlister,andOliverJ.Rutz https://www.recordedfuture.com/assets/SignalProcessing20111118.pd MarketingScienceJune2011mksc.1110.0642 f This presentation is intended for discussion only. The views expressed accurately reflect the personal views of the author, Simon Ryan. The author has not and will not receive any compensation for providing a specific recommendation or view in this report.

Notas do Editor

  1. ***Tag Cloud*** Customer Service, InsightKey Messages:1 - Extend existing DRU to one that covers the whole of the UK2- Listens to all messages and trends and Engages3- Hence monitoring what is being said in the social media space to:Engage and respond with customers and non-customers alike who have used social media for product queries, complaints or suggestionsEscalate thoughts circulating in social media on our industry, products and competitors. (through defined processes)
  2. Key MessageHundreds of millions of users and growing – not a fad.Key Messages:1 – Since you entered the room, you will have seen the figures on the growth of social media2 – Social Media is not an emerging technology or opportunity – it is here, but it is still growing3 – Thus pilot 1 – what can we learn when we listen and engage through social media
  3. Key MessageHundreds of millions of users and growing – not a fad.Key Messages:1 – Since you entered the room, you will have seen the figures on the growth of social media2 – Social Media is not an emerging technology or opportunity – it is here, but it is still growing3 – Thus pilot 1 – what can we learn when we listen and engage through social media
  4. Key Messages596 customers engaged in dialogue with DRU resulted in 24% strong advocate posts.These regularly start with negative (detractor) comments and are now amplifying a positive (promotor) message.Reach of positive posts is huge – use example of Lady Gaga followers (Aviva Stadium)