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S m a r t e r I n s i g h t s . S u p e r i o r Ta r g e t i n g .
1974 2016
Market Opinion Research
“Innovation distinguishes between a leader and a
follower.”
- Steve Jobs
A history of innovation...
2004
1989
2013
2008 2015
OUR EVOLUTION
WHAT WE DO
 G2 Analytics is an advanced data technology
consulting firm that combines data, technology,
and people to turn our clients’ content into a
data acquisition tool.
 We enable audience engagement for any video
content and allow audiences of any size to
actively participate in Focus Group in the
CloudTM events through any web-enabled
device.
 We provide clients with research driven data to
strengthen their message and deliver unique
insights on their target audience in a faster and
more cost-effective approach than the
traditional focus group.
REAL-TIME ENGAGEMENT
Collect audience engagement in real-time and creates
innovative visual analytic dashboards to unlock key insights
into how audiences engage with your content.
EVENT TYPES
Research Events – Are designed to function more like
scientific polling/focus group testing. In these events, G2
assembles a scientific sample, based on our clients’
requirements, that participate in the event.
Engagement Events – Engage with your members or target
audience and receive feedback on their individual reactions
to any form of recorded or live content.
Live Events – Allows audiences to watch and score live
stream events in real-time or live broadcast events on their
television and score them via computer, tablet or web-
enabled mobile device. G2 can also insert flash-poll
questions at any time during a live event.
ENHANCED SURVEYS
Monitors Real-Time Engagement
Capture respondents’ moment-to-moment
reactions to video content in online
surveys.
Compliments Traditional Surveys
Pre-exposure and post-exposure
questions can be analyzed in context of
the engagement.
Easily Integrates with Existing Surveys
Embed directly into existing online survey
platforms or seamlessly direct survey
participants to video engagement platform
and redirect them back to survey’s closed
AD TESTING
STANDARD PROCESS
2-4 Business Days
TEST
 Deliver Video to G2
 Program Online Survey
 Test Online Survey
 Launch Online Survey
DELIVER
 Create Visual Dashboards
 Analyze Results
 Identify Key Findings
 Deliver Results
1 Business Day
DESIGN
 Review Survey Questions
 Review Sample
Composition
 Pricing Parameters
 Execute Work Order
4-8 Hours
4-5 DAYS
TIMELINE
STANDARD SURVEY
DELIVERING RESULTS
ADTRIBUTE SCORES
Learn how your advertisement scored across 9 important metrics that measure a
video’s overall performance and persuasiveness.
ADTRIBUTE
Score
78.3
DELIVERING RESULTS
SELF SELECT DESCRIPTION
Learn which words your target audience uses to describe your advertisement.
“If you were going to describe this video, which words would you use?”
DELIVERING RESULTS
VERBATIMS
TOPIC AGE GENDER AFFILIATION ETHNICITY VERBATIM
Florida 35-44 Female Independent Democrat White or Caucasian what a great state i live in.
Florida 35-44 Female Independent Hispanic or Latino I was thinking that Adam Putnam is grandstanding to the folksy element of Florida.
Florida 35-44 Male Weak Republican White or Caucasian i love florida
Florida 35-44 Male Weak Democrat Asian or Pacific Islander
The man speaking is well-educated about Florida and is very confident in what he is saying. He pulls up a
lot of great points that I myself agree with, but by the end when he listed all the little things Florida
representatives must know like football rivalries, and little towns, he became too nit-picky and
demanding.
Florida 35-44 Male Independent Black or African American
While watching the advertisement I was thinking about jobs in the state of Florida and what the
employment rate is for the state of Florida in general.
Florida 35-44 Male Independent Republican White or Caucasian Well I live in Orlando so the video hit right at home. I was think "yes" this is what we need!
Florida 35-44 Male Strong Democrat White or Caucasian Florida is a great state and I am proud to be part of it. We can do it and we will do it better.
Florida/AGR 35-44 Male Weak Republican White or Caucasian That it misrepresents Floridians (that we are all country/rednecks/in agricultural jobs)
Florida/AGR 35-44 Male Independent Republican White or Caucasian I was thinking how important agriculture is to Florida. I agree that tourism isn't a sustainable commodity.
Florida 45-54 Female Strong Democrat Hispanic or Latino he wants to appeal to Floridians
Florida 45-54 Female Independent White or Caucasian
I am one of the people who he talks about graduating from a Florida college who cares about Florida but
this guy was saying good things about Florida for the bulk of the video and barely talked about his stances
on anything if at all
Florida 45-54 Female Strong Democrat White or Caucasian I was thinking about my hometown and if I could relate to what he was saying.
Florida 45-54 Female Independent White or Caucasian i want to know who is representing my area, I live in miami florida
Florida 45-54 Male Independent White or Caucasian That since I am a Florida resident that I can relate to the message.
Florida 45-54 Male Weak Republican White or Caucasian I was agreeing with a lot of what this politician said. I believe that Florida is seen too much as a reward for
other people and that people that actually live here are forgotten about.
Florida 45-54 Male Strong Republican White or Caucasian
As someone living in Florida, I thought about and agree with the overall message of making Florida a top
economy.
REACTION DATA
TOTAL REACTION SHARE
All Male Female
Like/Agree Dislike/Disagre
e
AgeandGender
REACTION SHARE
REACTION DATA
REACTION SCORE
Reaction Score
84.5
REACTION DATA
G2 SCORE
(ADtribute Score + Reactions Score) / 2 = G2
Score
M2M
Reaction
Scores
ADtribute
Survey
Scores
G2
Demo
Score
G2
Baseline
Score
G2
Index
Deviation
TOTAL 84.5 78.3 81.4 81.4 0.0%
AGE
18-24 83.2 68.7 76.0 81.4 -6.7%
25-34 79.1 80.7 79.9 81.4 -1.8%
35-44 88.7 83.0 85.9 81.4 5.5%
45-54 96.2 82.7 89.5 81.4 9.9%
55-64 80.9 68.9 74.9 81.4 -8.0%
GENDER
Female 83.5 79.7 81.6 81.4 0.2%
Male 85.2 77.0 81.1 81.4 -0.4%
FEMALE
18-24 83.1 71.1 77.1 81.4 -5.3%
25-34 77.2 84.0 80.6 81.4 -1.0%
35-44 91.1 77.3 84.2 81.4 3.4%
45-54 96.4 81.9 89.2 81.4 9.5%
55-64 77.6 76.9 77.3 81.4 -5.1%
MALE
18-24 83.3 66.4 74.9 81.4 -8.0%
25-34 80.7 77.6 79.2 81.4 -2.8%
35-44 87.5 88.7 88.1 81.4 8.2%
45-54 96.1 83.5 89.8 81.4 10.3%
55-64 83.5 62.2 72.9 81.4 -10.5%
FULL VISUAL ANALYTICS
Reaction Share
Total share of positive
negative reactions.
Net Performance Curve
Net performance is measured
by subtracting negative
reactions from positive
reactions
Engagement Curve
Visually analyze the strong and
weak parts of your message
Net Gender Curve
Identify reaction differences
based on gender
Demographic Filters
Filter reaction data by
select demographic filters
G2 Analytics provides extremely powerful Interactive Visual Analytics that allows
the client to quickly filter the survey response and M2M reaction data by
demographics.
REACTION DATA
NET PERFORMANCE CURVE
REACTION DATA
NET ENGAGEMENT CURVE
DELIVERING RESULTS
REACTION DATA OVERLAY
M2M reaction data is overlaid onto your video for quick and easy analysis of how
your advertisement performed.
CASE STUDIES
CASE STUDIES
OPPOSITION RESEARCH
IN BRIEF
Republican strategists were interested in
understanding how Hillary Clinton’s public
statements regarding her private email server were
received by likely voters in Iowa and New
Hampshire.
PROJECT OVERVIEW
G2 Analytics created a 2-minute video montage of Hillary
Clinton making definitive statements about her use of a
private email server including clips from various press
conferences and interviews she conducted between March
2015 and September 2015. G2 assembled a panel of 390
likely voters in Iowa and New Hampshire to watch and score
the video using G2 Analytics M2M Video Scoring Platform.
Respondents were asked to indicate when they thought she
was being “Honest” or “Dishonest” in her statements.
RESULTS
M2M reaction data collected in October 2015 identified two
areas where respondents thought Hillary Clinton was being
the most Dishonest – the denial that there were classified
emails and claims of transparency and cooperation. Results
also showed that respondents were largely split down party
lines as to the claim that she used a private email server out
of convenience.
“I did not email any classified material to anyone on my email,
there is no classified material.”
“I did not send or receive any information that marked classified
at the time.”
“I want people to know what the truth is and the truth is
everything I did was permitted and I went above and beyond
what anybody could have expected.”
“I am trying to be as transparent as I possibly can”
1
2
3
4
1
2
3 4
Net Reaction Data
CASE STUDIES
AD/MESSAGE TESTING
IN BRIEF
A strategic research and polling firm worked with G2
Analytics to design an integrated online survey that
combined traditional open and closed-end survey
questions with M2M video scoring to test a series of
TV and Radio advertisements for a statewide ballot
initiative.
PROJECT OVERVIEW
Using a scientific sample of 300 registered voters, G2
Analytics enabled M2M Video Scoring in a series of online
surveys that tested and compared the effectiveness of
multiple TV and radio advertisements produced by supporters
of a statewide ballot initiative. Respondents were asked to
score the advertisements based on whether they felt the
content made a “Weak Point” or “Strong Point” for
supporting the initiative.
RESULTS
M2M reaction data was used to determine the effectiveness
of the advertisements and identify weak spots that were
edited in final production. The data was also used it identify
key themes that resonated with specific subgroups of
respondents and was used to justify ad placement.
CASE STUDIES
ACADEMIC RESEARCH
IN BRIEF
Researchers from UCLA and Vanderbilt University
used G2 Analytics’ M2M Video Scoring Platform to
study the effects of political advertising on vote
choice in the 2016 presidential election.
PROJECT OVERVIEW
Each week during the 2016 Presidential election cycle,
SpotCheck selected two political advertisements and invited a
national representative sample of 1,000 people to rate the
ads using the G2 Analytics M2M Video Scoring Platform.
Respondents were provided by YouGov, an online survey
sample provider and were randomly assigned to random
groups which watched either one of the ads, both of the ads
or a control ad that was unrelated to the Presidential election.
RESULTS
Over the course of 27 weeks, SpotCheck collected M2M
reaction data on 54 political advertisements from nearly
30,000 unique respondents. Using M2M Reaction data and
survey responses, each video was assigned a SpotCheck
Score, a measure of the ad’s engagement level and
effectiveness. The results from this research are publicly
available at www.vanderbilt.edu/adnalysis.
“G2 Analytics provides SpotCheck with a quick,
easy-to-use, and affordable tool that provides
real-time insights on how audiences engage
with political advertisements.”
– Dr. Lynn Vavreck,
UCLA
CASE STUDIES
LIVE EVENTS – 2nd SCREEN
IN BRIEF
During the 4th Republican Presidential Primary
Debate, G2 Analytics assembled a representative
national sample of 311 likely Republican and
Independent voters to watch and score the live
debate in real-time.
PROJECT OVERVIEW
G2 Analytics conducted a live web-based Focus Group in the
CloudTM utilizing live second screen technology.
Respondents were asked to watch the debate live on their
television and score the candidates performance using their
computer, tablet or web-enabled smartphone to indicate
when the candidates statements made them “More Likely”
or “Less Likely” to support the candidate in the GOP primary
election. in her statements.
RESULTS
In the 4th GOP debate, Trump and Fiorina received the highest levels of total engagement, i.e. both positive and negative
reactions, while Ben Carson clearly failed resonate with respondents and was only able to capture 7% of the total engagement.
Based on these findings, G2 Analytics predicted that Carson did not generate enough engagement with voters to sustain his
position in the polls. According to the RCP Poll Average on the day of the debate (November 10th, 2015), Carson had closed
the gap with Trump by capturing 24.4% of potential voters to Trump’s 24.8%. In the weeks that followed the 4th debate,
Carson’s support eroded to 17.5% (according to RCP Poll Average, December 4, 2015).
NET ENAGEMENT BY PARTY
TOTAL NET ENGAGEMENT
CASE STUDIES
LIVE EVENTS – LIVE STREAM
IN BRIEF
G2 Analytics combined traditional online survey
research with live M2M scoring to conduct Focus
Groups in the CloudTM during the 2016 GOP National
Convention.
PROJECT OVERVIEW
G2 Analytics assembled a panel of uncommitted likely voters
from 17 swing states to watch and score a live direct feed of
the GOP Convention. Using the G2 Analytics’ M2M Video
Scoring Platform, respondents indicated when the content of
the speeches made them “More Likely” or “Less Likely” to
support Donald Trump.
RESULTS
This project was a perfect blend of traditional survey
research and M2M Video Scoring that provided both
quantitative and qualitative insights into how undecided
voters responded to the prime time speakers during the
GOP Convention. Despite the way in which the convention
was reported in the media, our data indicated that the
Trump campaign made great headway with uncommitted
voters, especially females. Portraying Trump as a family
man and introducing his family to uncommitted voters had a
major impact on shifting voters’ attitudes of Trump as a
candidate.
Net Reaction Data: Trump’s Acceptance Speech
Thursday Night: 3-Way Ballot
Pre-speech Post-
speech
Q: If the election were held today, for whom would you vote,
even if you are just leaning toward that candidate?
For more information or to request a demo contact:
AJ Rehberg
President
Email: aj@g2analytics.co
Phone: (202) 657-1085
www.g2analytics.co
S m a r t e r I n s i g h t s . S u p e r i o r Ta r g e t i n g .
ADDITIONAL SLIDES
ENGAGEMENT EVENTS
• COLLECT DEMOGRAPHICS
SIMPLE EVENT FORMAT
• COLLECT DEMOGRAPHICS
• PRE-EXPOSURE QUESTION
SIMPLE EVENT FORMAT
• COLLECT DEMOGRAPHICS
• PRE-EXPOSURE QUESTION
• M2M SCORING
SIMPLE EVENT FORMAT
• COLLECT DEMOGRAPHICS
• PRE-EXPOSURE QUESTION
• M2M SCORING
• POST-EXPOSURE QUESTION
SIMPLE EVENT FORMAT
SIMPLE EVENT FORMAT
• COLLECT DEMOGRAPHICS
• PRE-EXPOSURE QUESTION
• M2M SCORING
• POST-EXPOSURE QUESTION
• OPEN-ENDED VERBATIM

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G2 Analytics- Smarter Insights. Superior Targeting

  • 1. S m a r t e r I n s i g h t s . S u p e r i o r Ta r g e t i n g .
  • 2. 1974 2016 Market Opinion Research “Innovation distinguishes between a leader and a follower.” - Steve Jobs A history of innovation... 2004 1989 2013 2008 2015 OUR EVOLUTION
  • 3. WHAT WE DO  G2 Analytics is an advanced data technology consulting firm that combines data, technology, and people to turn our clients’ content into a data acquisition tool.  We enable audience engagement for any video content and allow audiences of any size to actively participate in Focus Group in the CloudTM events through any web-enabled device.  We provide clients with research driven data to strengthen their message and deliver unique insights on their target audience in a faster and more cost-effective approach than the traditional focus group.
  • 4. REAL-TIME ENGAGEMENT Collect audience engagement in real-time and creates innovative visual analytic dashboards to unlock key insights into how audiences engage with your content.
  • 5. EVENT TYPES Research Events – Are designed to function more like scientific polling/focus group testing. In these events, G2 assembles a scientific sample, based on our clients’ requirements, that participate in the event. Engagement Events – Engage with your members or target audience and receive feedback on their individual reactions to any form of recorded or live content. Live Events – Allows audiences to watch and score live stream events in real-time or live broadcast events on their television and score them via computer, tablet or web- enabled mobile device. G2 can also insert flash-poll questions at any time during a live event.
  • 6. ENHANCED SURVEYS Monitors Real-Time Engagement Capture respondents’ moment-to-moment reactions to video content in online surveys. Compliments Traditional Surveys Pre-exposure and post-exposure questions can be analyzed in context of the engagement. Easily Integrates with Existing Surveys Embed directly into existing online survey platforms or seamlessly direct survey participants to video engagement platform and redirect them back to survey’s closed
  • 8. STANDARD PROCESS 2-4 Business Days TEST  Deliver Video to G2  Program Online Survey  Test Online Survey  Launch Online Survey DELIVER  Create Visual Dashboards  Analyze Results  Identify Key Findings  Deliver Results 1 Business Day DESIGN  Review Survey Questions  Review Sample Composition  Pricing Parameters  Execute Work Order 4-8 Hours 4-5 DAYS TIMELINE
  • 10. DELIVERING RESULTS ADTRIBUTE SCORES Learn how your advertisement scored across 9 important metrics that measure a video’s overall performance and persuasiveness. ADTRIBUTE Score 78.3
  • 11. DELIVERING RESULTS SELF SELECT DESCRIPTION Learn which words your target audience uses to describe your advertisement. “If you were going to describe this video, which words would you use?”
  • 12. DELIVERING RESULTS VERBATIMS TOPIC AGE GENDER AFFILIATION ETHNICITY VERBATIM Florida 35-44 Female Independent Democrat White or Caucasian what a great state i live in. Florida 35-44 Female Independent Hispanic or Latino I was thinking that Adam Putnam is grandstanding to the folksy element of Florida. Florida 35-44 Male Weak Republican White or Caucasian i love florida Florida 35-44 Male Weak Democrat Asian or Pacific Islander The man speaking is well-educated about Florida and is very confident in what he is saying. He pulls up a lot of great points that I myself agree with, but by the end when he listed all the little things Florida representatives must know like football rivalries, and little towns, he became too nit-picky and demanding. Florida 35-44 Male Independent Black or African American While watching the advertisement I was thinking about jobs in the state of Florida and what the employment rate is for the state of Florida in general. Florida 35-44 Male Independent Republican White or Caucasian Well I live in Orlando so the video hit right at home. I was think "yes" this is what we need! Florida 35-44 Male Strong Democrat White or Caucasian Florida is a great state and I am proud to be part of it. We can do it and we will do it better. Florida/AGR 35-44 Male Weak Republican White or Caucasian That it misrepresents Floridians (that we are all country/rednecks/in agricultural jobs) Florida/AGR 35-44 Male Independent Republican White or Caucasian I was thinking how important agriculture is to Florida. I agree that tourism isn't a sustainable commodity. Florida 45-54 Female Strong Democrat Hispanic or Latino he wants to appeal to Floridians Florida 45-54 Female Independent White or Caucasian I am one of the people who he talks about graduating from a Florida college who cares about Florida but this guy was saying good things about Florida for the bulk of the video and barely talked about his stances on anything if at all Florida 45-54 Female Strong Democrat White or Caucasian I was thinking about my hometown and if I could relate to what he was saying. Florida 45-54 Female Independent White or Caucasian i want to know who is representing my area, I live in miami florida Florida 45-54 Male Independent White or Caucasian That since I am a Florida resident that I can relate to the message. Florida 45-54 Male Weak Republican White or Caucasian I was agreeing with a lot of what this politician said. I believe that Florida is seen too much as a reward for other people and that people that actually live here are forgotten about. Florida 45-54 Male Strong Republican White or Caucasian As someone living in Florida, I thought about and agree with the overall message of making Florida a top economy.
  • 13. REACTION DATA TOTAL REACTION SHARE All Male Female Like/Agree Dislike/Disagre e AgeandGender REACTION SHARE
  • 15. REACTION DATA G2 SCORE (ADtribute Score + Reactions Score) / 2 = G2 Score M2M Reaction Scores ADtribute Survey Scores G2 Demo Score G2 Baseline Score G2 Index Deviation TOTAL 84.5 78.3 81.4 81.4 0.0% AGE 18-24 83.2 68.7 76.0 81.4 -6.7% 25-34 79.1 80.7 79.9 81.4 -1.8% 35-44 88.7 83.0 85.9 81.4 5.5% 45-54 96.2 82.7 89.5 81.4 9.9% 55-64 80.9 68.9 74.9 81.4 -8.0% GENDER Female 83.5 79.7 81.6 81.4 0.2% Male 85.2 77.0 81.1 81.4 -0.4% FEMALE 18-24 83.1 71.1 77.1 81.4 -5.3% 25-34 77.2 84.0 80.6 81.4 -1.0% 35-44 91.1 77.3 84.2 81.4 3.4% 45-54 96.4 81.9 89.2 81.4 9.5% 55-64 77.6 76.9 77.3 81.4 -5.1% MALE 18-24 83.3 66.4 74.9 81.4 -8.0% 25-34 80.7 77.6 79.2 81.4 -2.8% 35-44 87.5 88.7 88.1 81.4 8.2% 45-54 96.1 83.5 89.8 81.4 10.3% 55-64 83.5 62.2 72.9 81.4 -10.5%
  • 16. FULL VISUAL ANALYTICS Reaction Share Total share of positive negative reactions. Net Performance Curve Net performance is measured by subtracting negative reactions from positive reactions Engagement Curve Visually analyze the strong and weak parts of your message Net Gender Curve Identify reaction differences based on gender Demographic Filters Filter reaction data by select demographic filters G2 Analytics provides extremely powerful Interactive Visual Analytics that allows the client to quickly filter the survey response and M2M reaction data by demographics.
  • 19. DELIVERING RESULTS REACTION DATA OVERLAY M2M reaction data is overlaid onto your video for quick and easy analysis of how your advertisement performed.
  • 21. CASE STUDIES OPPOSITION RESEARCH IN BRIEF Republican strategists were interested in understanding how Hillary Clinton’s public statements regarding her private email server were received by likely voters in Iowa and New Hampshire. PROJECT OVERVIEW G2 Analytics created a 2-minute video montage of Hillary Clinton making definitive statements about her use of a private email server including clips from various press conferences and interviews she conducted between March 2015 and September 2015. G2 assembled a panel of 390 likely voters in Iowa and New Hampshire to watch and score the video using G2 Analytics M2M Video Scoring Platform. Respondents were asked to indicate when they thought she was being “Honest” or “Dishonest” in her statements. RESULTS M2M reaction data collected in October 2015 identified two areas where respondents thought Hillary Clinton was being the most Dishonest – the denial that there were classified emails and claims of transparency and cooperation. Results also showed that respondents were largely split down party lines as to the claim that she used a private email server out of convenience. “I did not email any classified material to anyone on my email, there is no classified material.” “I did not send or receive any information that marked classified at the time.” “I want people to know what the truth is and the truth is everything I did was permitted and I went above and beyond what anybody could have expected.” “I am trying to be as transparent as I possibly can” 1 2 3 4 1 2 3 4 Net Reaction Data
  • 22. CASE STUDIES AD/MESSAGE TESTING IN BRIEF A strategic research and polling firm worked with G2 Analytics to design an integrated online survey that combined traditional open and closed-end survey questions with M2M video scoring to test a series of TV and Radio advertisements for a statewide ballot initiative. PROJECT OVERVIEW Using a scientific sample of 300 registered voters, G2 Analytics enabled M2M Video Scoring in a series of online surveys that tested and compared the effectiveness of multiple TV and radio advertisements produced by supporters of a statewide ballot initiative. Respondents were asked to score the advertisements based on whether they felt the content made a “Weak Point” or “Strong Point” for supporting the initiative. RESULTS M2M reaction data was used to determine the effectiveness of the advertisements and identify weak spots that were edited in final production. The data was also used it identify key themes that resonated with specific subgroups of respondents and was used to justify ad placement.
  • 23. CASE STUDIES ACADEMIC RESEARCH IN BRIEF Researchers from UCLA and Vanderbilt University used G2 Analytics’ M2M Video Scoring Platform to study the effects of political advertising on vote choice in the 2016 presidential election. PROJECT OVERVIEW Each week during the 2016 Presidential election cycle, SpotCheck selected two political advertisements and invited a national representative sample of 1,000 people to rate the ads using the G2 Analytics M2M Video Scoring Platform. Respondents were provided by YouGov, an online survey sample provider and were randomly assigned to random groups which watched either one of the ads, both of the ads or a control ad that was unrelated to the Presidential election. RESULTS Over the course of 27 weeks, SpotCheck collected M2M reaction data on 54 political advertisements from nearly 30,000 unique respondents. Using M2M Reaction data and survey responses, each video was assigned a SpotCheck Score, a measure of the ad’s engagement level and effectiveness. The results from this research are publicly available at www.vanderbilt.edu/adnalysis. “G2 Analytics provides SpotCheck with a quick, easy-to-use, and affordable tool that provides real-time insights on how audiences engage with political advertisements.” – Dr. Lynn Vavreck, UCLA
  • 24. CASE STUDIES LIVE EVENTS – 2nd SCREEN IN BRIEF During the 4th Republican Presidential Primary Debate, G2 Analytics assembled a representative national sample of 311 likely Republican and Independent voters to watch and score the live debate in real-time. PROJECT OVERVIEW G2 Analytics conducted a live web-based Focus Group in the CloudTM utilizing live second screen technology. Respondents were asked to watch the debate live on their television and score the candidates performance using their computer, tablet or web-enabled smartphone to indicate when the candidates statements made them “More Likely” or “Less Likely” to support the candidate in the GOP primary election. in her statements. RESULTS In the 4th GOP debate, Trump and Fiorina received the highest levels of total engagement, i.e. both positive and negative reactions, while Ben Carson clearly failed resonate with respondents and was only able to capture 7% of the total engagement. Based on these findings, G2 Analytics predicted that Carson did not generate enough engagement with voters to sustain his position in the polls. According to the RCP Poll Average on the day of the debate (November 10th, 2015), Carson had closed the gap with Trump by capturing 24.4% of potential voters to Trump’s 24.8%. In the weeks that followed the 4th debate, Carson’s support eroded to 17.5% (according to RCP Poll Average, December 4, 2015). NET ENAGEMENT BY PARTY TOTAL NET ENGAGEMENT
  • 25. CASE STUDIES LIVE EVENTS – LIVE STREAM IN BRIEF G2 Analytics combined traditional online survey research with live M2M scoring to conduct Focus Groups in the CloudTM during the 2016 GOP National Convention. PROJECT OVERVIEW G2 Analytics assembled a panel of uncommitted likely voters from 17 swing states to watch and score a live direct feed of the GOP Convention. Using the G2 Analytics’ M2M Video Scoring Platform, respondents indicated when the content of the speeches made them “More Likely” or “Less Likely” to support Donald Trump. RESULTS This project was a perfect blend of traditional survey research and M2M Video Scoring that provided both quantitative and qualitative insights into how undecided voters responded to the prime time speakers during the GOP Convention. Despite the way in which the convention was reported in the media, our data indicated that the Trump campaign made great headway with uncommitted voters, especially females. Portraying Trump as a family man and introducing his family to uncommitted voters had a major impact on shifting voters’ attitudes of Trump as a candidate. Net Reaction Data: Trump’s Acceptance Speech Thursday Night: 3-Way Ballot Pre-speech Post- speech Q: If the election were held today, for whom would you vote, even if you are just leaning toward that candidate?
  • 26. For more information or to request a demo contact: AJ Rehberg President Email: aj@g2analytics.co Phone: (202) 657-1085 www.g2analytics.co S m a r t e r I n s i g h t s . S u p e r i o r Ta r g e t i n g .
  • 30. • COLLECT DEMOGRAPHICS • PRE-EXPOSURE QUESTION SIMPLE EVENT FORMAT
  • 31. • COLLECT DEMOGRAPHICS • PRE-EXPOSURE QUESTION • M2M SCORING SIMPLE EVENT FORMAT
  • 32. • COLLECT DEMOGRAPHICS • PRE-EXPOSURE QUESTION • M2M SCORING • POST-EXPOSURE QUESTION SIMPLE EVENT FORMAT
  • 33. SIMPLE EVENT FORMAT • COLLECT DEMOGRAPHICS • PRE-EXPOSURE QUESTION • M2M SCORING • POST-EXPOSURE QUESTION • OPEN-ENDED VERBATIM