Hyper Analytics and the Collective Stream of Consciousness Jodee Rich CEO @PeopleBrowsr @WingDude Joe Fernandez CEO @JoeFernandez @Klout
May 09, 2015
Hyper Analytics and the Collective Stream of Consciousness
Jodee Rich CEO @PeopleBrowsr@WingDude
Joe Fernandez CEO@JoeFernandez @Klout
2
HUMAN SOCIALISATION
Hyper Analytics for Social Media – October 2010
Swinging through the trees..
3
HUMAN SOCIALISATION
Emerging from the jungle with Language
Hyper Analytics for Social Media – October 2010
4
HUMAN SOCIALISATION
Thousands of years later we wrote it down
Hyper Analytics for Social Media – October 2010
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
HUMAN SOCIALISATION
A Persistent Stream of Consciousness..
Hyper Analytics for Social Media – October 2010
7
HUMAN SOCIALISATION
Established Industry, the Stream and the Cloud
Hyper Analytics for Social Media – October 2010
8
HUMAN SOCIALISATION
Persistent Social Framework displaces Industry
Hyper Analytics for Social Media – October 2010
9
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
“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
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
STREAM SIZE 2010: IT IS DAVID AND GOLIATHNext to Facebook, the Twitter Stream is still small
Hyper Analytics for Social Media – October 2010
2010 OPENNESSLittle Twitter is dragging the others out of the cave and into the open
13Hyper Analytics for Social Media – October 2010
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
15Hyper Analytics for Social Media – October 2010
EVERY BROADCST MEDIUM IS MEASURED
http://www.flickr.com/photos/moriza/126238642/
16Hyper Analytics for Social Media – October 2010
THE INDIVIDUAL IS NOW THE BROADCASTER
17Hyper Analytics for Social Media – October 2010
NETWORK VALUE IS A COMPONENT OF LIFETIME VALUE
18Hyper Analytics for Social Media – October 2010
SIMPLE COUNTING IS NOT THE FUTURE OF ANALYTICS
19Hyper Analytics for Social Media – October 2010
ANALYTICS CAN BE USED FOR MORE THAN JUST GRAPHS
20
1 MILLION BRAND MENTIONS PER DAY
Hyper Analytics for Social Media – October 2010
21
CASE STUDIES IN 2010
BlogWorld 2009
Starbucks
eBay
Toyota Recall
Super Bowl Ads
Hyper Analytics for Social Media – October 2010
22
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
23
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
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
171,423Additional Followers reached by ReTweets
962# of Users who ReTweeted the Message
Hyper Analytics for Social Media – October 2010
STARBUCK BUZZ CREATED Campaign Period
25Hyper Analytics for Social Media – October 2010
26
TOYOTA RECALL SENTIMENT ANALYSIS
Overwhelming negative mainstream media coverage and very little negative social media comment
Hyper Analytics for Social Media – October 2010
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
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
29
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
30
SUPER BOWL Correlation of Tweets and Ads
Hyper Analytics for Social Media – October 2010
31
SUPER BOWL
By Volume
Mullen and Radian6
O’Reilly and PeopleBrowsrO’Reilly and PeopleBrowsr
By VolumeBy Positive
Hyper Analytics for Social Media – October 2010
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
10,000Mentions/day
filtered to
180Meaningful
comments
Velocity
10,000Mentions/day
filtered to
180Meaningful
comments
Hyper Analytics for Social Media – October 2010
33
TWEETS PER CAPITA
Source: PeopleBrowsr DataMine
A new SocioEconomic KPI
Hyper Analytics for Social Media – October 2010
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
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
CUSTOM ANALYTICS
Hyper Analytics for Social Media – October 2010
37
SENTIMENT ANALYSIS
Hyper Analytics for Social Media – October 2010
38
SENTIMENT ANALYSIS BY DAY
Hyper Analytics for Social Media – October 2010
39
SAMPLE POSITIVE TWEETS
Hyper Analytics for Social Media – October 2010
40
SAMPLE NEGATIVE TWEETS
Hyper Analytics for Social Media – October 2010
41
VOLUME OF MENTIONS
Hyper Analytics for Social Media – October 2010
42
REACH
Hyper Analytics for Social Media – October 2010
43
WORD CLOUD
Hyper Analytics for Social Media – October 2010
44
TIME TARGETING
Hyper Analytics for Social Media – October 2010
45
GEO TARGETING
Hyper Analytics for Social Media – October 2010
46
GEO TARGETING
Hyper Analytics for Social Media – October 2010
47
AUDIENCE PROFILING
Hyper Analytics for Social Media – October 2010
48
AUDIENCE PROFILING
Hyper Analytics for Social Media – October 2010
49
BLOGWORLD ANALYTICS PLATFORM
http://Analytic.ly/Blogworld
Hyper Analytics for Social Media – October 2010
50
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
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
52Hyper 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
53Hyper 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!
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
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
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
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
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
59Hyper 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
60Hyper 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
VAST DYNAMIC DATA STORES POWERCOLLECTIVE CONSCIOUSNESS
61Hyper Analytics for Social Media – October 2010
62
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