Virtually all traditional polls and prediction models forecasted a Clinton win, with no answers to where they reached the wrong answer. In this webinar, we look at how social data predicted Trump’s win when traditional polling failed and the opportunity for those looking to accurately predict future elections both in the US and beyond.
View this 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 will:
- See patterns that emerged on social media in the last few months of the election cycle that couldn’t be uncovered by polls
- Learn about the importance of capturing emotional intensity to accurately predict consumer decision making
- Understand how Big Data solutions can be used to separate ‘What Matters’ vs. ‘Noise’
Co-founder and CEO of Convosphere, Jackie has advised businesses of all sizes on how to use social media insights to deliver improved and more effective relationships with a wide range of stakeholders, become more customer-centric, and help the organisation make data-driven decisions with local and global insights. She has a background in Digital Marketing and Social Media Intelligence which spans over 15 years and two continents. She has an MBA in International Marketing and worked at Marketing Agencies and Management Consultancies before founding Convosphere.
