[Webinar] How Social Data Predicted Trump’s Win When Traditional Polling Failed

Your business depends on a deep understanding of consumers – beyond what consumers are willing or able to tell you via traditional market research methodologies. Yet mounting pressure to find the ‘truth’ is constrained by ever shrinking budgets and schedules.

Some have given up listening to what consumers have to say, adopting W. E. Deming’s philosophy, “In God we trust; all others must bring data.” While observed data points can be extremely valuable, they don’t always provide the ‘Why’.  At SDL’s Social Intelligence practice, we believe the ‘Why’ is critical to deeply understanding consumers and finding the ‘truth’: the motivations behind their attitudes and behaviors, and is the path to the holy grail of predictive capabilities.

View the webinar recording to accelerate your path to deep consumer understanding, and discover how social data predicted Trump’s win when traditional polling failed.

Through a case study of the US presidential election you’ll learn about:

  • Patterns that emerged on social media in the last few months of the election cycle that couldn’t be uncovered by polls
  • The importance of capturing emotional intensity to accurately predict consumer decision making
  • The degree to which existing biases that people are not even aware of impacted the election results
  • How Big Data solutions can be used to separate ‘What Matters’ vs. ‘Noise’
  • How cutting edge analytics can classify conversations on a Voter Journey
  • How these techniques could apply to you and your business questions & problems

peakers:

Brigitte Gleissner
Research Director - Global Insights & Analytics
SDL
 
Brigitte Gleissner has over 15 years of research experience in global markets for brands such as Microsoft, LinkedIn, Unilever, BMW, Mercedes-Benz and Lufthansa Airlines. She has designed and executed numerous focus groups, virtual communities, ethnographies, and social data research studies. Along the way, she has learned that research should be an art—an engaged and curious approach that uses all parts of your brain.
 
At SDL Social Intelligence, she oversees complex research projects that help clients realize the potential of social data and innovative analytics. Prior to SDL, she owned a qualitative research business.
 
Brigitte is originally from Germany and has always worked in an international context. She holds a master’s degree in Cognitive Psychology from the LMU University of Munich and was a research scholar at the University of Washington’s Department of Psychology.
 

Beth Owen
VP Social Intelligence
SDL

Beth Owen is the VP of Social Intelligence, heading up the line of business for SDL. In 2013 she joined the team, bringing with her 15 years of Market Research, Communications and PR experience spent largely based in Asia.  Now based in the U.K., she has been a key contributor to the building of SDL’s Social Intelligence business.  Beth leverages her deep understanding of the challenges vendors face, coupled with her diverse global customer experience,  to create technology enabled solutions that solve the problems she had spent her career addressing with traditional methodologies.

Donnell Wright
VP Strategy & Consulting
SDL

Donnell Wright has developed successful market strategy and CRM programs for brand leaders across industries, segments and continents, enabling the success of a diverse client list including Dell, Air France, Microsoft, Frito Lay, American Express and Chrysler. A seasoned research methodologist, Donnell has more than 20 years experience conducting global quantitative and qualitative studies with a variety of data sets as both a vendor for Gallup and TNS as well as during her tenure as VP of Service Excellence at Washington Mutual. Donnell is now VP Strategy & Consulting, Social Intelligence with SDL; leveraging her experience and industry knowledge to help businesses define their CXM strategy. Donnell has developed three proprietary methodologies and has one loyalty measurement patent.

 

 

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