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USING SOCIAL MEDIA
ANALYTICS TO INFORM
INVESTMENT DECISIONS

AIMA, Sydney – 18th September 2012

SIMON J. RYAN
Business Marketing Specialist
@simonjryan
Viral
The number of people that
          choose to
communicate using social media
              are
measured in the 100s of millions
900
              million users

Source: Wikipedia, April 2012
500
              million users

Source: Wikipedia, April 2012
490
              million users

Source: Quora, January2011
124
               million users

Source: VK website, August 2012
160
              million users

                       100
Source: Wikipedia, November 2011
480
                300
                268
Source: Wikipedia, November 2011
Relevance


           41%
 … of consumers who use social media are
                  actually
    influenced by positive and negative
                comments
about brands and companies on social media
                Source: YouGov, April 2012
So we monitor, analyse and
          report
  on our brand, products,
customers and competitors
Explanation




              www.edfenergy.com/energy-of-the-nation
Result




    www.metro.co.uk/olympics/907250-twitters-olympic-mood-beamed-to-world-from-edf-energy-london-eye
Capability

      We can assess the nature of
       conversations

      We can quantify conversations
Outcome




We can estimate the impact on
            sales
Definition
         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
Action

      Brands have an incentive to
        get involved
      in the social media process
     Brands should positively
        manage anything
     leading to negative situations
Conclusion
• People talk about brands and what they say affects
  sales
• 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
Thank you

Simon J. Ryan
Mobile   +447 446 119 778
E Mail   simon@socialadvisors.co.uk
Twitter  simonjryan
Blogspot simonjryan
Resources
    Harnessing the power of the web in quantitative investing
    Rochester Cahan/Yin Luo/Miguel-AAlvarez/JavedJussa/ZongyeChen/ShengWang
    https://www.recordedfuture.com/assets/SignalProcessing20111118.pdf

    A dynamic model of the effect of online communications on firm sales
    Garrett P Sonnier, Leigh McAlister , and Oliver J. Rutz
             .
    Marketing Science June 2011 mksc.1110.0642

    Twitter mood predicts the stock market
    Johan Bollen, HuinaMao, Xiao-Jun Zeng
    Journal of Computational Science, 2(1), March 2011, Pages 1-8

    The junk science behind the ‘Twitter Hedge Fund’
    Ben Shneidermanet al
    http://sellthenews.tumblr.com/post/21067996377/noitdoesnot


    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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Using Social Media Analytics to Inform Investment Decisions 18 September 2012

  • 1. USING SOCIAL MEDIA ANALYTICS TO INFORM INVESTMENT DECISIONS AIMA, Sydney – 18th September 2012 SIMON J. RYAN Business Marketing Specialist @simonjryan
  • 3. The number of people that choose to communicate using social media are measured in the 100s of millions
  • 4. 900 million users Source: Wikipedia, April 2012
  • 5. 500 million users Source: Wikipedia, April 2012
  • 6. 490 million users Source: Quora, January2011
  • 7. 124 million users Source: VK website, August 2012
  • 8. 160 million users 100 Source: Wikipedia, November 2011
  • 9. 480 300 268 Source: Wikipedia, November 2011
  • 10. Relevance 41% … of consumers who use social media are actually influenced by positive and negative comments about brands and companies on social media Source: YouGov, April 2012
  • 11. So we monitor, analyse and report on our brand, products, customers and competitors
  • 12. Explanation www.edfenergy.com/energy-of-the-nation
  • 13. Result www.metro.co.uk/olympics/907250-twitters-olympic-mood-beamed-to-world-from-edf-energy-london-eye
  • 14. Capability We can assess the nature of conversations We can quantify conversations
  • 15. Outcome We can estimate the impact on sales
  • 16. Definition 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
  • 17. Action Brands have an incentive to get involved in the social media process Brands should positively manage anything leading to negative situations
  • 18. Conclusion • People talk about brands and what they say affects sales • 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
  • 19. Thank you Simon J. Ryan Mobile +447 446 119 778 E Mail simon@socialadvisors.co.uk Twitter simonjryan Blogspot simonjryan
  • 20. Resources Harnessing the power of the web in quantitative investing Rochester Cahan/Yin Luo/Miguel-AAlvarez/JavedJussa/ZongyeChen/ShengWang https://www.recordedfuture.com/assets/SignalProcessing20111118.pdf A dynamic model of the effect of online communications on firm sales Garrett P Sonnier, Leigh McAlister , and Oliver J. Rutz . Marketing Science June 2011 mksc.1110.0642 Twitter mood predicts the stock market Johan Bollen, HuinaMao, Xiao-Jun Zeng Journal of Computational Science, 2(1), March 2011, Pages 1-8 The junk science behind the ‘Twitter Hedge Fund’ Ben Shneidermanet al http://sellthenews.tumblr.com/post/21067996377/noitdoesnot 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.

Editor's Notes

  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