SIMON J . RYAN

CUSTOMER VALUE ARTIST@SIMONJRYAN

USING SOCIAL MEDIA ANALYTICS TO

INFORM INVESTMENT DECISIONS

DISCLOSURE

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.

VIRAL

The number of people that choose to communicate using

social media are measured in the 100’s of

millions

million users

900Source : Wikipedia, ,April 2012

million users500

Source : Wikipedia, March 2011

million users490

Source : Quora, January 2011

million users

124Source : VK Website, August 2012

million users

160 100Source : Wikipedia, November 2011

300480268Source : Wikipedia, November 2011

million users

Source: YouGov, April 2012

41%RELEVANCE

…of consumers who use social media are actually influenced by positive and negative comments about brands and companies on

social media sites.

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

We can assess the nature of conversations

We can quantify conversations

CAPABILITY

We can estimate theImpacton sales

OUTCOME

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

DEFINITION

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

• 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

RESOURCES

Twitter mood predicts the stock marketJohan Bollen, Huina Mao, Xiao-Jun ZengJournal of Computational Science, 2(1), March 2011, Pages 1-8

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

SIMON J . RYAN M O B I L E : + 4 4 7 4 4 6 1 1 9 7 7 8E M A I L : S I M O N R Y A N . U K @ G M A I L . C O MT W I T T E R S I M O N J R Y A NB L O G S P O T S I M O N J R Y A N

The junk science behind the ‘Twitter Hedge Fund’Ben Shneiderman et alhttp://sellthenews.tumblr.com/post/21067996377/noitdoesnot

A dynamic model of the effect of online communications on firm salesRochester Cahan/Yin Luo/Miguel-A Alvarez/Javed Jussa/Zongye Chen/Sheng Wanghttps://www.recordedfuture.com/assets/SignalProcessing20111118.pdf

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.