Have a myARF account?


November 14–15, 2017
Sunnyvale, CA

At FORECASTxSCIENCE we compared conventional forecasting tools (such as surveys) to Big Data approaches (such as Google Trends and social media listening) in their ability to help marketers predict outcomes accurately, to spot trends, and to monitor customer sentiment. We also discussed best practices to more reliably predict what’s next.

Topics covered:

  • Whether surveys are still a credible tool for guiding business decisions.
  • How unstructured data (social, search, WOM) combine with traditional data for better answers.
  • New tools that help us analyze more data better – AI, cognition and machine learning examples.

Speakers Included

KEYNOTE: Everybody Lies: How We Can Use Google Search Data to Understand the Human Psyche

Davidowitz cover
Seth Stephens-Davidowitz, Ph.D.
Author of Everybody Lies: Big Data, New Data and What the Internet Can Tell Us About Who We Really Are

Social Networks as Representative Nonprobability Sampling Frames

Adriana Crespo Tenorio
Researcher & Ads Data Scientist,

Performance of 2016 U.S. Presidential Polls –
Lessons Applied

Mark Blumenthal
Head of Election Polling,

Marketing in a Cognitive Era

Babs Rangaiah
Executive Partner,
Global Marketing, iX,