social media: current and emerging technology and applications for government and industry
TRANSCRIPT
Tech in Government & Industry: Jodee Rich CEO | PeopleBrowsr
Social Media: Current and Emerging Technology and Applications in Government
and Industry Jodee Rich CEO PeopleBrowsr
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Social Media Strategy
LISTEN ENGAGE INFLUENCE
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Social Media Stats
10,000 posts/second�
Over 10 Billion Conversations - 1% Gold 100% Real�
Millions of Small related Networks
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Swinging through the trees…
BIG PICTURE
Human Socialization
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Emerging from the jungle with Language…
BIG PICTURE
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Thousands of years later we wrote it down…
BIG PICTURE
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PCs, the internet, mobile phones, GPS have come together to enable a vast distributed data network of collective memory
BIG PICTURE
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A collective stream of intelligence…
BIG PICTURE
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Little Brother Connected Little Brothers will be a higher intelligence than Big Brother
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An Inverted Orwellian Revolution
Little Brother has access to�vast amounts of data�
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Human Connectedness Viral Streams will add light fiber power to the �Collective Intelligence
Small Networks close networks will be more powerful than individual Influencers
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Social Vectors
SENTIMENT BREAKING TRENDS
CONNECTEDNESS
PERSONA
RELEVANCE
TRUST
INFLUENCE
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Evolution of Influence
2009 number of Followers
2010 Followers and Engagement (RTs, @Replies)
2011 most number of Friends talking about the topic
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Cartoon Deck – Viral Influence
http://bit.ly/hFltVp
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SOCIAL VECTORS
Find Community Champions
Architect | Blogger | Cat Lover | Celebrities | CEO | Coffee Lovers | Comcast | Comedy | Cool Brands | Dancers | Dating | Doctor | Dog Lovers | Engineer | Extreme Sports | Finance | Food | Lawyer | Marketing | Mommy Bloggers | Musician | News | Photography | Politics | Religion | Reporter | Social Media | Sport | Travel | VIP | Wall St | Wine Lovers
People are 300% more likely to engage when properly targeted
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The Playground is an all inclusive social media platform designed to efficiently monitor the social conversation
around any brand or topic and �identify the most influential people.
PeopleBrowsr Playground
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Search
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Community Search 1,000 Days of Conversations
Post Effect
Retweet Analytics Degrees of Separation Kred Influence Outreach
Filter
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Search
Top Locations Top Communities
SEARCH
View important statistics around Keyword Sentiment Gender Statistics
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Topics, Locations, Communities
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Hyper-target your search: 1. Select a community 2. Location 3. Topic
Create your own Community out of Bio keywords, specific users, or mentioned Hashtags
SEARCH
Search
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Cross-Network Search 1,000 Days Chart Streaming Analytics
Schedule Posts Post Effect
Engagement
Assign Tweets Share Accounts Role Management
Monitor Team Members Tag a User / Post
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Cross-Network Search
Browse Networks with ease Search a keyword in your source stream or a variety of other networks
Search in blogs Search a keyword in the Google Blog Stream to browse through Blog links without leaving Engage
ENGAGEMENT
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Get all the analytics for your search in one Stack
ENGAGEMENT
Stream Analytics
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Analytics
In-Depth Sentiment Analysis
Cross Network Data Mentions
Compare Keywords
Custom PDF Report
Identify Influencers with Kred
Individual Influencers’ Sentiment
Find Relevant Conversations
Monitor Trends for Real-Time Engagement
See Historical Data
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Compare relevant data for your business See 2 or more keywords in the same chart
ANALYTICS
Compare Keywords�
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View Mentions by Source ANALYTICS
See statistical data for Twitter, Facebook, News, Blogs, Forums
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Grid Search the PeopleBrowsr Datamine Analyze the Social Grid Refine Results
See Hyper-Targeted Streams Customized Reports
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View raw data of search and stream filtering Create customized reports – search keywords, @names Filter by location, hyper-targeted community and history
GRID
Main Features
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Hyper-targeted search
GRID
Customized Reports
Keyword Over Time Keyword by Community Keyword by Country Keyword by Cities Stream report of posts
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Social TV Analytics will eventually replace Nielsen as the primary data used by Media Buyers….
Here’s Why…
CASE STUDIES
TV Analytics
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Objectives
Replace Nielsen rating system with Social Media Data
Identify TV Show preferences of the Social Audience
Implement traditional ratings with Social Data to achieve more accurate results
CASE STUDIES
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The Test Case
Filter Social mentions of 900 major TV Shows in the United States
Communities Composed of Social Media Users related by their Affinities
CASE STUDIES
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The Solution
Search beyond exact Show Titles
AKAs Typos Characters Names Actors Names
TV Show Identification
House OR Gregory House OR GregoryHouse OR Doctor House OR DoctorHouse OR DrHouse OR Dr House OR Doctor Cuddy OR DoctorCuddy OR DrCuddy OR Lisa
Cuddy OR Hugh Laurie OR ….
CASE STUDIES
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The Solution
Filter out noise and irrelevant results
Contextual Proximity Exclusions
NOT the house OR my house OR your house OR *s house OR this house OR that house OR cleaning OR for sale OR
buying OR sold OR bought OR dog house OR our house OR full house OR fire OR leave OR party OR white OR …
TV Show Identification
CASE STUDIES
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The Solution
Identify demographics through
Declared Age Marital Status Profession Followers of account
Communities
Under18 = (student OR freshman OR junior OR senior) AND (list of 18K high schools) OR in high school OR I’m
6-17 years old OR I’m a teenager OR student of (high schools) OR studying for the ACTs OR learning to drive OR
I want a fake ID OR …
CASE STUDIES
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Data Size
Total number of TV Show mentions since January 2011
30 Million
CASE STUDIES
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Data Size Number of people in each Community
Under 18 – 1,615,107
Age 19-24 – 412,479
Age 25-35 – 1,636,156
Moms – 370,762
Heavy Searchers U. 18 – 132,231
Heavy Searchers 19-24 – 40,980
Heavy Searchers 25-35 – 201,238
100K – 346,537
Allergy – 134,585
Tech – 5,111,413
Adventure + Tech – 1,673,600
Active Investors – 5,127
Adventurers/Outdoors – 139,121
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Data Size Number of people in each Community
Community # Observed Community # Observed Under 18 1,615,107 $100k+ HHI 346.537
19-24 412.479 Allergy sufferers 134.585
25-35 1,636,156 Tech 5,111,413
Moms 370,762 Adventure + Tech 1,673,600
Heavy Searcher u. 18 132,231 Active Investors 5,127
Heavy Searchers 19-24 40,980 Outdoor Adventurers 139,121
Heavy Searchers 25-35 201,238
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TV Shows Analytics TV Show: 60 Minutes
CASE STUDIES
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TV Shows Analytics Communities: Under 18
CASE STUDIES
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Data Flow - Communities
Firehose RabbitMQ
Xapian Search Indexer
Search Engine Communitiser
Text File
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Performance and Results: 50% Percentage of total registrations from Twitter
5,000 # of new followers
36% # of CTR
Industry: Computer Software
Background: Large software company aiming to promote itself on social media channels
Engagement: 12 months
Goals: Maximize participation to online seminars and increase awareness
PeopleBrowsr Solution: Extract all users aligned with SAP target audience; most influential selected for engagement
CASE STUDIES
Champions Campaign�
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Trend Analytics CASE STUDIES
Viral Analytics… RT Acceleration
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Trust Triangulation CASE STUDIES
Location Influence Kredentials
There is a young girl trapped in the basement
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Bot Detection Metrics
CASE STUDIES
Sent Post Count to @Name Mention Ratio Sent Post Count to Key word frequency Velocity
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Human Border Trafficking in the Middle East
CASE STUDIES
Classified
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Filter messages�
Sort by Community�
Measure social influence
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Billions Of Conversations
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Every voice is important.
Our main Influencers are everyday people and networks of friends.
Small Close Networks of normal people are the Rock Stars of Influence.
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We All Have Influence Somewhere
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Transparency�
Community�
Trust and Generosity
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Kred enriches your contributions to and interactions with your viral social sphere.
What is Kred?
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Kred is Measurable Influence based on two metrics:
Influence�Ability to inspire action: �Retweets, Replies, New follows.�
Outreach�Generosity, rewards actions, interaction with others.
What is Kred?
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Influence measures what others do for you
Normalized 1,000 point scale�
Influence�How you inspire others to take action.
Metrics include: Retweets @Replies New Follows
Kred Influence
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Outreach measures generosity
Points “level up” and �increase infinitely
Outreach�How others inspire you to interact and engage.
Metrics include: Retweets @Replies New Follows
Kred Outreach
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Kred Wishes Wishes are matched with Grants
Anyone can �make a wish
Anyone can �grant a wish
The platform brings people together
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Kred Wishes
A Wisher announces a Wish to their community of friends and followers The Community supports the wish with Boosts A Grantor can then elect to fulfill the wish
The power of community to achieve personal goals
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Granting A Kred Wish Creates Buzz Friends & Followers support the wish with
Retweets and Boosts
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@WingDude�[email protected]�
Swinging through the trees…Language evolved�
Little Brother will carry the next level of Human Evolution – Influencers and Authorities independent of Institutions
Tech in Government & Industry: Jodee Rich CEO | PeopleBrowsr
@WingDude
http://slidesha.re/PB-SMEmergingApps