Hyper Analytics and the Collective Stream of Consciousness Jodee Rich CEO  @PeopleBrowsr @WingDude Joe Fernandez CEO @JoeF...
HUMAN SOCIALISATION Hyper Analytics for Social Media – October 2010 Swinging through the trees..
HUMAN SOCIALISATION Emerging from the jungle with Language Hyper Analytics for Social Media – October 2010
HUMAN SOCIALISATION Thousands of years later we wrote it down Hyper Analytics for Social Media – October 2010
HUMAN SOCIALISATION PCs, the internet, cell phones have come together to enable a vast distributed network of human intell...
HUMAN SOCIALISATION A Persistent Stream of Consciousness..  Hyper Analytics for Social Media – October 2010
HUMAN SOCIALISATION Established Industry, the Stream and the Cloud  Hyper Analytics for Social Media – October 2010
HUMAN SOCIALISATION Persistent Social Framework displaces Industry  Hyper Analytics for Social Media – October 2010
YEARS TO REACH 50 MILLION SUBSCRIBERS Radio  38 Years TV  13 Years Facebook  100 Million in less than 9 months Source: Soc...
“ That’s what social networking is all about: worshipping at the Altar of Self.” nothing more than an exercise in unashame...
1 YEAR OF TWITTER TRAFFIC: View chart and stats on  analytic.ly Now at 50 Million Tweets/day Hyper Analytics for Social Me...
STREAM SIZE 2010: IT IS DAVID AND GOLIATH Next to Facebook, the Twitter Stream is still small Hyper Analytics for Social M...
2010 OPENNESS Little Twitter is dragging the others out of the cave and into the open Hyper Analytics for Social Media – O...
OPENNESS Because it is open, the Twitter Stream will become the core transport layer for rich MetaData and Cross Network L...
Hyper Analytics for Social Media – October 2010 EVERY BROADCST MEDIUM IS MEASURED
http://www.flickr.com/photos/moriza/126238642/ Hyper Analytics for Social Media – October 2010 THE INDIVIDUAL IS NOW THE B...
Need to understand the network value of each customer and their ability to impact your brand Hyper Analytics for Social Me...
Hyper Analytics for Social Media – October 2010 SIMPLE COUNTING IS NOT THE FUTURE OF ANALYTICS
Hyper Analytics for Social Media – October 2010 ANALYTICS CAN BE USED FOR MORE THAN JUST GRAPHS
1 MILLION BRAND MENTIONS PER DAY Hyper Analytics for Social Media – October 2010
CASE STUDIES IN 2010 BlogWorld 2009 Starbucks eBay Toyota Recall Super Bowl Ads Hyper Analytics for Social Media – October...
<ul><li>Goals:  </li></ul><ul><li>Build Audience </li></ul><ul><li>Sell tickets to the Conference </li></ul><ul><li>Create...
Solution:   <ul><li>Campaign Target Audience </li></ul><ul><li>Users mentioning BlogWorld keywords </li></ul><ul><li>Blogg...
Performance and Results 30%  Percentage Increase in Relevant Followers 11,000 # of Mentions of the hashtag during the conf...
STARBUCK BUZZ CREATED Campaign Period Hyper Analytics for Social Media – October 2010
TOYOTA RECALL SENTIMENT ANALYSIS Overwhelming negative mainstream media coverage and very little negative social media com...
We analyze 18 months of historical data and  live streams in real time We use a special algorithm and then have real peopl...
<ul><li>Analytics:   </li></ul><ul><ul><li>Effect of Traditional Media on Social Media </li></ul></ul><ul><ul><li>Mechanic...
SUPER BOWL <ul><li>Results:  </li></ul><ul><ul><li>103,158 Total Mentions </li></ul></ul><ul><ul><li>Sampled 1000 Tweets f...
SUPER BOWL Correlation of Tweets and Ads Hyper Analytics for Social Media – October 2010
SUPER BOWL By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive Hyper An...
Seek an effective way to measure brand sentiment accurately.  The goal is to find a list of influencers speaking in both p...
TWEETS PER CAPITA Source:  PeopleBrowsr  DataMine A new SocioEconomic KPI Hyper Analytics for Social Media – October 2010
THE NEXT TWO YEARS The Conversation Stream becomes the Conversation Cloud A real time historical record Hyper Analytics fo...
THE NEXT TWO YEARS The Conversation Cloud becomes the Rich Metadata Cloud Social Media Stream  will become the core backbo...
CUSTOM ANALYTICS  Hyper Analytics for Social Media – October 2010
SENTIMENT ANALYSIS Hyper Analytics for Social Media – October 2010
SENTIMENT ANALYSIS BY DAY Hyper Analytics for Social Media – October 2010
SAMPLE POSITIVE TWEETS Hyper Analytics for Social Media – October 2010
SAMPLE NEGATIVE TWEETS Hyper Analytics for Social Media – October 2010
VOLUME OF MENTIONS Hyper Analytics for Social Media – October 2010
REACH Hyper Analytics for Social Media – October 2010
WORD CLOUD Hyper Analytics for Social Media – October 2010
TIME TARGETING Hyper Analytics for Social Media – October 2010
GEO TARGETING Hyper Analytics for Social Media – October 2010
GEO TARGETING Hyper Analytics for Social Media – October 2010
AUDIENCE PROFILING Hyper Analytics for Social Media – October 2010
AUDIENCE PROFILING Hyper Analytics for Social Media – October 2010
BLOGWORLD ANALYTICS PLATFORM http://Analytic.ly/Blogworld Hyper Analytics for Social Media – October 2010
EXPERIMENTAL APPS RESEARCH.LY What can we build? RESEARCH.LY Contextual Search and Post Inline Content RESEARCH.LY HyperLo...
Hyper Analytics for Social Media – October 2010 SEARCH THE WORLD OR JUST THE COUNTRY OR CITY YOU WANT The first thing you ...
Hyper Analytics for Social Media – October 2010 SEARCH EVERY TOPIC OR JUST THE ONE YOU LIKE Refine the search for Your Com...
Hyper Analytics for Social Media – October 2010 CUSTOM URL FOR DIRECT SEARCH Define your search directly from the URL Sele...
Hyper Analytics for Social Media – October 2010 TWO WAYS TO START SEARCHING Click on any of the words in the ‘Most Retweet...
Hyper Analytics for Social Media – October 2010 RECURSIVE SEARCH Now t2.ly comes to life; a Twitter stream with related, r...
Hyper Analytics for Social Media – October 2010 FIND A RELATIONSHIP PATH… Degrees of separation (1º, 2º, 3º and 4º) show h...
Hyper Analytics for Social Media – October 2010 WHO KNOWS WHO KNOWS YOU… 1º - you follow them 2º - you follow someone, who...
Hyper Analytics for Social Media – October 2010 SEARCH IN FRIENDS STREAM Find all your friends who Tweeted about any searc...
Hyper Analytics for Social Media – October 2010 RICH MEDIA These are currently related and trending pictures you can use i...
Hyper Analytics for Social Media – October 2010 RELATEDNESS & CONNECTEDNESS Every search also shows related and connected ...
VAST DYNAMIC DATA STORES POWER COLLECTIVE CONSCIOUSNESS Hyper Analytics for Social Media – October 2010
REFERENCES This Deck http://slidesha.re/HyperAnalytics www.Analytic.ly Socialnomics09 Social Media in Plain English People...
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Hyper Analytics for Social Media Blogworld 2010 by PeopleBrowsr and Klout

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Hyper Analytics for Social Media,
Blogworld 2010 presentation by Jodee Rich CEO PeopleBrowsr and Joe Fernandez CEO Klout

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  • Hyper Analytics for Social Media Blogworld 2010 by PeopleBrowsr and Klout

    1. 1. Hyper Analytics and the Collective Stream of Consciousness Jodee Rich CEO @PeopleBrowsr @WingDude Joe Fernandez CEO @JoeFernandez @Klout
    2. 2. HUMAN SOCIALISATION Hyper Analytics for Social Media – October 2010 Swinging through the trees..
    3. 3. HUMAN SOCIALISATION Emerging from the jungle with Language Hyper Analytics for Social Media – October 2010
    4. 4. HUMAN SOCIALISATION Thousands of years later we wrote it down Hyper Analytics for Social Media – October 2010
    5. 5. HUMAN SOCIALISATION PCs, the internet, cell phones have come together to enable a vast distributed network of human intelligence Hyper Analytics for Social Media – October 2010
    6. 6. HUMAN SOCIALISATION A Persistent Stream of Consciousness.. Hyper Analytics for Social Media – October 2010
    7. 7. HUMAN SOCIALISATION Established Industry, the Stream and the Cloud Hyper Analytics for Social Media – October 2010
    8. 8. HUMAN SOCIALISATION Persistent Social Framework displaces Industry Hyper Analytics for Social Media – October 2010
    9. 9. YEARS TO REACH 50 MILLION SUBSCRIBERS Radio 38 Years TV 13 Years Facebook 100 Million in less than 9 months Source: Socialnomics09 Hyper Analytics for Social Media – October 2010
    10. 10. “ That’s what social networking is all about: worshipping at the Altar of Self.” nothing more than an exercise in unashamed public vanity for the Look at Me generation” Sandra Lee in The Sunday Telegraph - May 25, 2008 PERCEPTION TWO YEARS AGO… Hyper Analytics for Social Media – October 2010
    11. 11. 1 YEAR OF TWITTER TRAFFIC: View chart and stats on analytic.ly Now at 50 Million Tweets/day Hyper Analytics for Social Media – October 2010
    12. 12. STREAM SIZE 2010: IT IS DAVID AND GOLIATH Next to Facebook, the Twitter Stream is still small Hyper Analytics for Social Media – October 2010
    13. 13. 2010 OPENNESS Little Twitter is dragging the others out of the cave and into the open Hyper Analytics for Social Media – October 2010
    14. 14. OPENNESS Because it is open, the Twitter Stream will become the core transport layer for rich MetaData and Cross Network Links Hyper Analytics for Social Media – October 2010
    15. 15. Hyper Analytics for Social Media – October 2010 EVERY BROADCST MEDIUM IS MEASURED
    16. 16. http://www.flickr.com/photos/moriza/126238642/ Hyper Analytics for Social Media – October 2010 THE INDIVIDUAL IS NOW THE BROADCASTER
    17. 17. Need to understand the network value of each customer and their ability to impact your brand Hyper Analytics for Social Media – October 2010 NETWORK VALUE IS A COMPONENT OF LIFETIME VALUE
    18. 18. Hyper Analytics for Social Media – October 2010 SIMPLE COUNTING IS NOT THE FUTURE OF ANALYTICS
    19. 19. Hyper Analytics for Social Media – October 2010 ANALYTICS CAN BE USED FOR MORE THAN JUST GRAPHS
    20. 20. 1 MILLION BRAND MENTIONS PER DAY Hyper Analytics for Social Media – October 2010
    21. 21. CASE STUDIES IN 2010 BlogWorld 2009 Starbucks eBay Toyota Recall Super Bowl Ads Hyper Analytics for Social Media – October 2010
    22. 22. <ul><li>Goals: </li></ul><ul><li>Build Audience </li></ul><ul><li>Sell tickets to the Conference </li></ul><ul><li>Create buzz around the event </li></ul><ul><li>Monitor the social stream </li></ul>Industry: Events and Marketing Background: Producer of the largest Social Media Conference that annually hosts 10,000 people Length of Engagement: 15 months <ul><li>Metrics for Success </li></ul><ul><li>Identify Key Influencers </li></ul><ul><li>Increase # of Conversations in Public timeline </li></ul><ul><li>Increase # of Followers </li></ul><ul><li>Maximize sales of tickets </li></ul>CASE OVERVIEW: CONFERENCE Hyper Analytics for Social Media – October 2010
    23. 23. Solution: <ul><li>Campaign Target Audience </li></ul><ul><li>Users mentioning BlogWorld keywords </li></ul><ul><li>Bloggers </li></ul><ul><li>Social Media Enthusiasts </li></ul>CASE OVERVIEW: CONFERENCE PeopleBrowsr extracted all the users who mentioned BlogWorld and relevant keywords for the last 360 days. The list has also been populated with the participants to the conference in 2008 PeopleBrowsr selected the TOP influential users to engage with. These Tweeters received a Private Message with a special discount code to the conference Hyper Analytics for Social Media – October 2010
    24. 24. Performance and Results 30% Percentage Increase in Relevant Followers 11,000 # of Mentions of the hashtag during the conference 39% # of Clicks Through CASE OVERVIEW: CONFERENCE 180,000 # of Tweets extracted for 360 days 171,423 Additional Followers reached by ReTweets 962 # of Users who ReTweeted the Message Hyper Analytics for Social Media – October 2010
    25. 25. STARBUCK BUZZ CREATED Campaign Period Hyper Analytics for Social Media – October 2010
    26. 26. TOYOTA RECALL SENTIMENT ANALYSIS Overwhelming negative mainstream media coverage and very little negative social media comment Hyper Analytics for Social Media – October 2010
    27. 27. We analyze 18 months of historical data and live streams in real time We use a special algorithm and then have real people improving the result up to 95% accuracy. 95% accuracy Vs 70-80% automation alone US AIRLINE INDUSTRY STUDY JUNE 2009 Hyper Analytics for Social Media – October 2010
    28. 28. <ul><li>Analytics: </li></ul><ul><ul><li>Effect of Traditional Media on Social Media </li></ul></ul><ul><ul><li>Mechanical Turk to measure accurate Sentiment </li></ul></ul><ul><ul><li>Metrics to measure Success: </li></ul></ul><ul><ul><ul><li>Total Mentions </li></ul></ul></ul><ul><ul><ul><li>Positive Mentions </li></ul></ul></ul>By Volume Mullen and Radian6 SUPER BOWL Hyper Analytics for Social Media – October 2010
    29. 29. SUPER BOWL <ul><li>Results: </li></ul><ul><ul><li>103,158 Total Mentions </li></ul></ul><ul><ul><li>Sampled 1000 Tweets from Every Brand and used Mechanical Turk Human Sentiment to analyze </li></ul></ul><ul><ul><li>Polarized: </li></ul></ul><ul><ul><ul><li>50% Positive </li></ul></ul></ul><ul><ul><ul><li>28% Negative </li></ul></ul></ul><ul><ul><ul><li>18% Neutral </li></ul></ul></ul>Hyper Analytics for Social Media – October 2010
    30. 30. SUPER BOWL Correlation of Tweets and Ads Hyper Analytics for Social Media – October 2010
    31. 31. SUPER BOWL By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive Hyper Analytics for Social Media – October 2010
    32. 32. Seek an effective way to measure brand sentiment accurately. The goal is to find a list of influencers speaking in both positive and negative terms and engage. Call center to respond to negative sentiment everyday Velocity 10,000 Mentions/day filtered to 180 Meaningful comments Hyper Analytics for Social Media – October 2010
    33. 33. TWEETS PER CAPITA Source: PeopleBrowsr DataMine A new SocioEconomic KPI Hyper Analytics for Social Media – October 2010
    34. 34. THE NEXT TWO YEARS The Conversation Stream becomes the Conversation Cloud A real time historical record Hyper Analytics for Social Media – October 2010
    35. 35. THE NEXT TWO YEARS The Conversation Cloud becomes the Rich Metadata Cloud Social Media Stream will become the core backbone for people data Hyper Analytics for Social Media – October 2010
    36. 36. CUSTOM ANALYTICS Hyper Analytics for Social Media – October 2010
    37. 37. SENTIMENT ANALYSIS Hyper Analytics for Social Media – October 2010
    38. 38. SENTIMENT ANALYSIS BY DAY Hyper Analytics for Social Media – October 2010
    39. 39. SAMPLE POSITIVE TWEETS Hyper Analytics for Social Media – October 2010
    40. 40. SAMPLE NEGATIVE TWEETS Hyper Analytics for Social Media – October 2010
    41. 41. VOLUME OF MENTIONS Hyper Analytics for Social Media – October 2010
    42. 42. REACH Hyper Analytics for Social Media – October 2010
    43. 43. WORD CLOUD Hyper Analytics for Social Media – October 2010
    44. 44. TIME TARGETING Hyper Analytics for Social Media – October 2010
    45. 45. GEO TARGETING Hyper Analytics for Social Media – October 2010
    46. 46. GEO TARGETING Hyper Analytics for Social Media – October 2010
    47. 47. AUDIENCE PROFILING Hyper Analytics for Social Media – October 2010
    48. 48. AUDIENCE PROFILING Hyper Analytics for Social Media – October 2010
    49. 49. BLOGWORLD ANALYTICS PLATFORM http://Analytic.ly/Blogworld Hyper Analytics for Social Media – October 2010
    50. 50. EXPERIMENTAL APPS RESEARCH.LY What can we build? RESEARCH.LY Contextual Search and Post Inline Content RESEARCH.LY HyperLocal Linked to other netwoks Hyper Analytics for Social Media – October 2010
    51. 51. Hyper Analytics for Social Media – October 2010 SEARCH THE WORLD OR JUST THE COUNTRY OR CITY YOU WANT The first thing you will notice are the Country and City drop down menus Use these as you search, so the results you get are more relevant t2.ly uses the geo metadata in Tweets
    52. 52. Hyper Analytics for Social Media – October 2010 SEARCH EVERY TOPIC OR JUST THE ONE YOU LIKE Refine the search for Your Community Choose any Topic that is more interesting and relevant to you
    53. 53. Hyper Analytics for Social Media – October 2010 CUSTOM URL FOR DIRECT SEARCH Define your search directly from the URL Select Location, Category and Keyword and start browsing!
    54. 54. Hyper Analytics for Social Media – October 2010 TWO WAYS TO START SEARCHING Click on any of the words in the ‘Most Retweeted’ box to start searching Start typing a Tweet in the ‘Compose a Tweet’ box. Click any word you type to start searching on that word to show related results OR
    55. 55. Hyper Analytics for Social Media – October 2010 RECURSIVE SEARCH Now t2.ly comes to life; a Twitter stream with related, relevant Tweets appears below Click on any word in the Search Stream to continue drilling down for refined results
    56. 56. Hyper Analytics for Social Media – October 2010 FIND A RELATIONSHIP PATH… Degrees of separation (1º, 2º, 3º and 4º) show how many ‘steps’ you are from the original Tweeter The power of demonstrating this connectedness is of enormous benefit in creating trust and value within the search results
    57. 57. Hyper Analytics for Social Media – October 2010 WHO KNOWS WHO KNOWS YOU… 1º - you follow them 2º - you follow someone, who follows them 3º - you follow someone, who follows someone, who follows them 4º - you follow someone, who follows someone, who follows someone, who follows them
    58. 58. Hyper Analytics for Social Media – October 2010 SEARCH IN FRIENDS STREAM Find all your friends who Tweeted about any search keyword Choose to filter the stream by gender or sentiment
    59. 59. Hyper Analytics for Social Media – October 2010 RICH MEDIA These are currently related and trending pictures you can use in your Tweet These are currently related and trending @Names, Hashtags, URLs you can use in your Tweet These are the analytics of your chosen keyword
    60. 60. Hyper Analytics for Social Media – October 2010 RELATEDNESS & CONNECTEDNESS Every search also shows related and connected data in the form of images, videos, @names, #tags, retweets and URLs Each result can be used to search deeper just by clicking it or used as content for your own tweet in the Compose box
    61. 61. VAST DYNAMIC DATA STORES POWER COLLECTIVE CONSCIOUSNESS Hyper Analytics for Social Media – October 2010
    62. 62. REFERENCES This Deck http://slidesha.re/HyperAnalytics www.Analytic.ly Socialnomics09 Social Media in Plain English PeopleBrowsr Super Bowl Study PeopleBrowsr Top 20 Brands Study www.ReSearch.ly http://www.s lides hare.net/peoplebrowsr/the-twitter-metadata-revolution-and-collective-consciousness http://www.nytimes.com/external/readwriteweb/2010/05/17/17readwriteweb-twitter-forefather-leaves-aims-to-disrupt-b-89770.html http://blogs.hbr.org/research/2010/05/why-gallup-when-you-can-tweet.html http://www.briansolis.com/2010/05/report-top-20-brands-on-twitter-april-2010/ Hyper Analytics for Social Media – October 2010 Jodee Rich CEO @PeopleBrowsr @WingDude Joe Fernandez CEO @JoeFernandez @Klout
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