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Credibility and Influence: Marketing to the NextGen of Social Networkers AdTech London 2011 Jodee Rich CEO PeopleBrowsr
3 Social Media Strategy LISTEN  ENGAGE  INFLUENCE
4 Social Media Strategy 10,000 posts/second 1% Gold 100% Real Cross disciplines  PR, Marcom, Sales   Customer Service Monitoring in real time, no time for approval Influencers
5 Over the next 24 months… The Social Graph will be replaced by the..Interest Graph – Influencers and Authorities
6 BIG PICTURE Human Socialization Swinging through the trees…
7 BIG PICTURE Emerging from the jungle with Language…
8 BIG PICTURE Thousands of years later we wrote it down…
9 BIG PICTURE PCs, the internet, mobile phones, GPS have come together to enable a vast distributed data network of collective memory
10 BIG PICTURE A collective stream of intelligence…
11 Little Brother
12 Little Brother Connected Little Brothers will be a higher intelligence than Big Brother
13 An Inverted Orwellian Revolution Little Brother has access tovast amounts of data
14 Human Connectedness Viral Streams will add light fiber power to the Collective Intelligence
15 Social Vectors CONNECTEDNESS BREAKING TRENDS SENTIMENT INFLUENCE RELEVANCE TRUST PERSONA
16 Evolution of Influence 2009 number of Followers 2010 Followers and Engagement (RTs, @Replies) 2011 most number of Friends talking about the topic
17 Huffington Post Influence
18 Huffington Post Influence
19 Cartoon Deck – Viral Influence http://bit.ly/hFltVp
20 Cartoon Deck – Viral Influence 34,343 views in 2 days  http://slidesha.re/dXiPEa
21 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
22 Case Studies
23 CASE STUDIES TV Analytics Social TV Analytics will eventually replace Nielsen as the primary data used by Media Buyers….  Here’s Why…
24 CASE STUDIES 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
25 CASE STUDIES 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
26 CASE STUDIES The Challenge Refine millions of searches to identify content relevantto TV Shows Create comprehensive filters to classify Communities based on demographic data
27 CASE STUDIES The Solution TV Show Identification Search beyond exact Show Titles AKAs Typos Characters Names Actors Names 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 ….
28 CASE STUDIES The Solution TV Show Identification 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 …
29 CASE STUDIES The Solution Communities Identify demographics through Declared Age Marital Status Profession Followers of account 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 …
30 CASE STUDIES Data Size Total number of TV Show mentions since January 2011 30 Million
31 CASE STUDIES TV Shows Analytics TV Show:  60 Minutes
32 CASE STUDIES TV Shows Analytics Communities:  Under 18
33 CASE STUDIES Vehicle Brands Report
34 CASE STUDIES Ad Measurement Industry: Media Entertainment Background: Creation of a Twitter report for studio executives/ impact of promo scheduling Length of Engagement: 8 months Goals:Evaluate the impact of traditional media on the social media sphere PeopleBrowsr Solution: 180 days historical reporting with overlay of traditional ad schedule Performance and Results: 75,353  # of Tweets extracted for 180 days 12:30p & 7:00p Peak times of engagement  60/40  M/F demographic breakdown of tweets
35 CASE STUDIES Audience Campaign Industry: Magazine Publishing Background: Newsweek was featured on the Twittered featured list and while they saw a tremendous increase in followers, they found that many were not engaged Engagement: 6 weeks Goals: Build @names, increase conversation PeopleBrowsr Solution: Extract all those interested in breaking news, competitive follows, and US news; Most Influential users selected for engagement Performance and Results: News, USMost often mentioned keywords  2000%  Increase in CTR 8,374 New followers
36 CASE STUDIES Champions Campaign 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
37 CASE STUDIES 2011 Super Bowl YTD 387,162 	  vs      99,124       Total Tweets 2011 	     Total Tweets 2010 From last year, total volume of Tweets mentioning Super Bowl brands increased 271%. Doritos had the highest number of mentions in 2010 and was the 3rd  top mentioned brand this year, with an 89% increase in volume in 2011. In 2011, most social activity of all ads was in the Auto industry, represented by Volkswagon, Chrysler and Chevrolet.
38 Kred  Influence and Outreach Transparent Activity Statement Community Based Group Kred Outreach Meter Fresh Content Advisory Function Detailed Analysis
39 What is Kred? Kred is measurable Influence Kred offers separate metrics for Influence and Outreach. Influence measures a user’s relative ability to inspire action from others like retweeting, replies or new follows.  Outreach measures generosity and rewards actions like interaction with others and willingness to spread the message.
40 KredInfluence Influence is the measure of what others do for you It is reported to on a normalized 1,000 point scale. Influence is measured by  Retweets @replies New follows List following Follow/following ratio Influence is outbound – how you inspire others to take action.
41 KredOutreach Outreach is the measure of generosity Outreach points are based in levels and will increase infinitely as users interact and spread messages from others. Outreach is measured by  Retweets @replies New follows List following Outreach represents how others inspire you to interact and engage.
42 Kredentials for every @name
43 Swinging through the trees…Language evolved Little Brother will carry the next level of Human Evolution – Influencers and Authorities independent of Institutions @WingDudeJodeeRich@PeopleBrowsr.com
@WingDude jodeerich@peoplebrowsr.com http://slidesha.re/PBAdTechUK

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Credibility and Influence - AdTech London 2011 - Jodee Rich

  • 1. Credibility and Influence: Marketing to the NextGen of Social Networkers AdTech London 2011 Jodee Rich CEO PeopleBrowsr
  • 2.
  • 3. 3 Social Media Strategy LISTEN ENGAGE INFLUENCE
  • 4. 4 Social Media Strategy 10,000 posts/second 1% Gold 100% Real Cross disciplines PR, Marcom, Sales Customer Service Monitoring in real time, no time for approval Influencers
  • 5. 5 Over the next 24 months… The Social Graph will be replaced by the..Interest Graph – Influencers and Authorities
  • 6. 6 BIG PICTURE Human Socialization Swinging through the trees…
  • 7. 7 BIG PICTURE Emerging from the jungle with Language…
  • 8. 8 BIG PICTURE Thousands of years later we wrote it down…
  • 9. 9 BIG PICTURE PCs, the internet, mobile phones, GPS have come together to enable a vast distributed data network of collective memory
  • 10. 10 BIG PICTURE A collective stream of intelligence…
  • 12. 12 Little Brother Connected Little Brothers will be a higher intelligence than Big Brother
  • 13. 13 An Inverted Orwellian Revolution Little Brother has access tovast amounts of data
  • 14. 14 Human Connectedness Viral Streams will add light fiber power to the Collective Intelligence
  • 15. 15 Social Vectors CONNECTEDNESS BREAKING TRENDS SENTIMENT INFLUENCE RELEVANCE TRUST PERSONA
  • 16. 16 Evolution of Influence 2009 number of Followers 2010 Followers and Engagement (RTs, @Replies) 2011 most number of Friends talking about the topic
  • 17. 17 Huffington Post Influence
  • 18. 18 Huffington Post Influence
  • 19. 19 Cartoon Deck – Viral Influence http://bit.ly/hFltVp
  • 20. 20 Cartoon Deck – Viral Influence 34,343 views in 2 days http://slidesha.re/dXiPEa
  • 21. 21 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
  • 23. 23 CASE STUDIES TV Analytics Social TV Analytics will eventually replace Nielsen as the primary data used by Media Buyers…. Here’s Why…
  • 24. 24 CASE STUDIES 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
  • 25. 25 CASE STUDIES 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
  • 26. 26 CASE STUDIES The Challenge Refine millions of searches to identify content relevantto TV Shows Create comprehensive filters to classify Communities based on demographic data
  • 27. 27 CASE STUDIES The Solution TV Show Identification Search beyond exact Show Titles AKAs Typos Characters Names Actors Names 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 ….
  • 28. 28 CASE STUDIES The Solution TV Show Identification 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 …
  • 29. 29 CASE STUDIES The Solution Communities Identify demographics through Declared Age Marital Status Profession Followers of account 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 …
  • 30. 30 CASE STUDIES Data Size Total number of TV Show mentions since January 2011 30 Million
  • 31. 31 CASE STUDIES TV Shows Analytics TV Show: 60 Minutes
  • 32. 32 CASE STUDIES TV Shows Analytics Communities: Under 18
  • 33. 33 CASE STUDIES Vehicle Brands Report
  • 34. 34 CASE STUDIES Ad Measurement Industry: Media Entertainment Background: Creation of a Twitter report for studio executives/ impact of promo scheduling Length of Engagement: 8 months Goals:Evaluate the impact of traditional media on the social media sphere PeopleBrowsr Solution: 180 days historical reporting with overlay of traditional ad schedule Performance and Results: 75,353 # of Tweets extracted for 180 days 12:30p & 7:00p Peak times of engagement 60/40 M/F demographic breakdown of tweets
  • 35. 35 CASE STUDIES Audience Campaign Industry: Magazine Publishing Background: Newsweek was featured on the Twittered featured list and while they saw a tremendous increase in followers, they found that many were not engaged Engagement: 6 weeks Goals: Build @names, increase conversation PeopleBrowsr Solution: Extract all those interested in breaking news, competitive follows, and US news; Most Influential users selected for engagement Performance and Results: News, USMost often mentioned keywords 2000% Increase in CTR 8,374 New followers
  • 36. 36 CASE STUDIES Champions Campaign 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
  • 37. 37 CASE STUDIES 2011 Super Bowl YTD 387,162 vs 99,124 Total Tweets 2011 Total Tweets 2010 From last year, total volume of Tweets mentioning Super Bowl brands increased 271%. Doritos had the highest number of mentions in 2010 and was the 3rd top mentioned brand this year, with an 89% increase in volume in 2011. In 2011, most social activity of all ads was in the Auto industry, represented by Volkswagon, Chrysler and Chevrolet.
  • 38. 38 Kred Influence and Outreach Transparent Activity Statement Community Based Group Kred Outreach Meter Fresh Content Advisory Function Detailed Analysis
  • 39. 39 What is Kred? Kred is measurable Influence Kred offers separate metrics for Influence and Outreach. Influence measures a user’s relative ability to inspire action from others like retweeting, replies or new follows. Outreach measures generosity and rewards actions like interaction with others and willingness to spread the message.
  • 40. 40 KredInfluence Influence is the measure of what others do for you It is reported to on a normalized 1,000 point scale. Influence is measured by Retweets @replies New follows List following Follow/following ratio Influence is outbound – how you inspire others to take action.
  • 41. 41 KredOutreach Outreach is the measure of generosity Outreach points are based in levels and will increase infinitely as users interact and spread messages from others. Outreach is measured by Retweets @replies New follows List following Outreach represents how others inspire you to interact and engage.
  • 42. 42 Kredentials for every @name
  • 43. 43 Swinging through the trees…Language evolved Little Brother will carry the next level of Human Evolution – Influencers and Authorities independent of Institutions @WingDudeJodeeRich@PeopleBrowsr.com