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Hyper Analytics and the Collective Stream of Consciousness Jodee Rich CEO @PeopleBrowsr @WingDude Joe Fernandez CEO @JoeFernandez @Klout
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Hyper Analytics for Social Media Blogworld 2010 by PeopleBrowsr and Klout

May 09, 2015

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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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Page 1: Hyper Analytics for Social Media Blogworld 2010 by PeopleBrowsr and Klout

Hyper Analytics and the Collective Stream of Consciousness

Jodee Rich CEO @PeopleBrowsr@WingDude

Joe Fernandez CEO@JoeFernandez @Klout

Page 2: Hyper Analytics for Social Media Blogworld 2010 by PeopleBrowsr and Klout

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HUMAN SOCIALISATION

Hyper Analytics for Social Media – October 2010

Swinging through the trees..

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HUMAN SOCIALISATION

Emerging from the jungle with Language

Hyper Analytics for Social Media – October 2010

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HUMAN SOCIALISATION

Thousands of years later we wrote it down

Hyper Analytics for Social Media – October 2010

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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

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HUMAN SOCIALISATION

A Persistent Stream of Consciousness..

Hyper Analytics for Social Media – October 2010

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HUMAN SOCIALISATION

Established Industry, the Stream and the Cloud

Hyper Analytics for Social Media – October 2010

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HUMAN SOCIALISATION

Persistent Social Framework displaces Industry

Hyper Analytics for Social Media – October 2010

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YEARS TO REACH 50 MILLION SUBSCRIBERS

Radio 38 Years

TV 13 Years

Facebook 100 Million in less than 9 months

Source: Socialnomics09

9Hyper Analytics for Social Media – October 2010

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“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…

1010Hyper Analytics for Social Media – October 2010

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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

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STREAM SIZE 2010: IT IS DAVID AND GOLIATHNext to Facebook, the Twitter Stream is still small

Hyper Analytics for Social Media – October 2010

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2010 OPENNESSLittle Twitter is dragging the others out of the cave and into the open

13Hyper Analytics for Social Media – October 2010

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OPENNESSBecause it is open, the Twitter Stream will become the core transport layer for rich MetaData and Cross Network Links

14Hyper Analytics for Social Media – October 2010

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15Hyper Analytics for Social Media – October 2010

EVERY BROADCST MEDIUM IS MEASURED

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http://www.flickr.com/photos/moriza/126238642/

16Hyper Analytics for Social Media – October 2010

THE INDIVIDUAL IS NOW THE BROADCASTER

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17Hyper Analytics for Social Media – October 2010

NETWORK VALUE IS A COMPONENT OF LIFETIME VALUE

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18Hyper Analytics for Social Media – October 2010

SIMPLE COUNTING IS NOT THE FUTURE OF ANALYTICS

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19Hyper Analytics for Social Media – October 2010

ANALYTICS CAN BE USED FOR MORE THAN JUST GRAPHS

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1 MILLION BRAND MENTIONS PER DAY

Hyper Analytics for Social Media – October 2010

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CASE STUDIES IN 2010

BlogWorld 2009

Starbucks

eBay

Toyota Recall

Super Bowl Ads

Hyper Analytics for Social Media – October 2010

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Goals:

• Build Audience

• Sell tickets to the Conference

• Create buzz around the event

• Monitor the social stream

Industry: Events and Marketing

Background: Producer of the largest Social Media Conference that annually hosts 10,000 people

Length of Engagement: 15 months

Metrics for Success

• Identify Key Influencers

• Increase # of Conversations in Public timeline

• Increase # of Followers

• Maximize sales of tickets

CASE OVERVIEW: CONFERENCE

Hyper Analytics for Social Media – October 2010

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Solution: Campaign Target Audience

• Users mentioning BlogWorld keywords

• Bloggers

• Social Media Enthusiasts

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

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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

171,423Additional Followers reached by ReTweets

962# of Users who ReTweeted the Message

Hyper Analytics for Social Media – October 2010

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STARBUCK BUZZ CREATED Campaign Period

25Hyper Analytics for Social Media – October 2010

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TOYOTA RECALL SENTIMENT ANALYSIS

Overwhelming negative mainstream media coverage and very little negative social media comment

Hyper Analytics for Social Media – October 2010

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We analyze 18 months of historical data and live streams in real timeWe use a special algorithm and then have real people improvingthe result up to 95% accuracy.

95%

accuracyVs 70-80% automation alone

27

US AIRLINE INDUSTRY STUDY JUNE 2009

Hyper Analytics for Social Media – October 2010

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Analytics:

• Effect of Traditional Media on Social Media

• Mechanical Turk to measure accurate Sentiment

•Metrics to measure Success:

• Total Mentions

• Positive Mentions

By Volume

Mullen and Radian6

28

SUPER BOWL

Hyper Analytics for Social Media – October 2010

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SUPER BOWL

Results:

• 103,158 Total Mentions

• Sampled 1000 Tweets from Every Brand and used Mechanical Turk Human Sentiment to analyze

• Polarized:

• 50% Positive

• 28% Negative

• 18% Neutral

Hyper Analytics for Social Media – October 2010

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SUPER BOWL Correlation of Tweets and Ads

Hyper Analytics for Social Media – October 2010

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SUPER BOWL

By Volume

Mullen and Radian6

O’Reilly and PeopleBrowsrO’Reilly and PeopleBrowsr

By VolumeBy Positive

Hyper Analytics for Social Media – October 2010

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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

10,000Mentions/day

filtered to

180Meaningful

comments

Velocity

10,000Mentions/day

filtered to

180Meaningful

comments

Hyper Analytics for Social Media – October 2010

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TWEETS PER CAPITA

Source: PeopleBrowsr DataMine

A new SocioEconomic KPI

Hyper Analytics for Social Media – October 2010

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THE NEXT TWO YEARS

The Conversation Stream becomes the Conversation Cloud

A real time historical record

Hyper Analytics for Social Media – October 2010

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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

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CUSTOM ANALYTICS

Hyper Analytics for Social Media – October 2010

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SENTIMENT ANALYSIS

Hyper Analytics for Social Media – October 2010

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SENTIMENT ANALYSIS BY DAY

Hyper Analytics for Social Media – October 2010

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SAMPLE POSITIVE TWEETS

Hyper Analytics for Social Media – October 2010

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SAMPLE NEGATIVE TWEETS

Hyper Analytics for Social Media – October 2010

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VOLUME OF MENTIONS

Hyper Analytics for Social Media – October 2010

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REACH

Hyper Analytics for Social Media – October 2010

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WORD CLOUD

Hyper Analytics for Social Media – October 2010

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TIME TARGETING

Hyper Analytics for Social Media – October 2010

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GEO TARGETING

Hyper Analytics for Social Media – October 2010

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GEO TARGETING

Hyper Analytics for Social Media – October 2010

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AUDIENCE PROFILING

Hyper Analytics for Social Media – October 2010

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AUDIENCE PROFILING

Hyper Analytics for Social Media – October 2010

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BLOGWORLD ANALYTICS PLATFORM

http://Analytic.ly/Blogworld

Hyper Analytics for Social Media – October 2010

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EXPERIMENTAL APPS RESEARCH.LYWhat can we build?

RESEARCH.LY

Contextual Search and PostInline Content

RESEARCH.LY

HyperLocalLinked to other netwoks

Hyper Analytics for Social Media – October 2010

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51Hyper 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

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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

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CUSTOM URL FOR DIRECT SEARCH

Define your search directly from the URL

Select Location, Category and Keyword and start browsing!

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54Hyper 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

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55Hyper 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

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56Hyper 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

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57Hyper 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

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58Hyper 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

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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

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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

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VAST DYNAMIC DATA STORES POWERCOLLECTIVE CONSCIOUSNESS

61Hyper Analytics for Social Media – October 2010

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REFERENCES

This Deckhttp://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.slideshare.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