NEW YORK — February 20, 2019 — Gradient Metrics, a premier global analytics firm providing leading-edge solutions to well-known brands, political campaigns, start-ups and NGOs, today announced the launch of a new advisory board, which is comprised of a distinguished group of marketing scholars, and research and data experts. The board will serve as trusted advisors on the latest market research theories, methodologies and tools as Gradient Metrics continues to provide solutions to clients on how best to design, develop and market products, and attract and inspire employees.
Gradient Metrics welcomes the following advisory board members:
Patti Williams is the Ira A. Lipman Associate Professor of Marketing at the Wharton School. Williams has received multiple awards for her teaching. Her research interests include the role of emotions in consumer decision making. Williams has served as Associate Editor for the Journal of Consumer Research and serves on the Editorial Review Boards for the Journal of Marketing Research and the Journal of Consumer Psychology.
David Bell is the President of Idea Farm Ventures, a venture firm dedicated to the consumer lifestyle space. He is also an award-winning researcher, teacher and author. His best-selling book, “Location Is (Still) Everything” focuses on how we use the internet to shop and search for information. A sought-after advisor and seed investor, Bell consults with transformative brands such as Burrow, Bonobos, Harry’s, and Warby Parker, among others.
Hannes Datta is an award-winning scholar and teacher. An associate professor at Tilburg University in The Netherlands, Datta develops advanced econometric models to guide managerial decision-making and improve understanding of digital consumer behavior. He is an expert in digital media consumption, excels at working with large data sets, in addition to cloud computing. Datta recently won Marketing Science Institute’s 2019 Young Scholar Award and was recognized by the American Marketing Association and Marketing Science Institute with the H. Paul Root Award for his research paper, “How Well Does Consumer-Based Brand Equity Align with Sales-Based Brand Equity and Marketing-Mix Response?”
“We welcome Patti, David and Hannes to our advisory board and are fortunate to partner with such accomplished leaders,” said Thomas Vladeck, Founder and Managing Director, Gradient Metrics. “We look forward to their expert guidance as we continue to evolve and grow, providing cutting-edge methodologies to help solve our client’s most pressing needs.”
“I’ve spent my career focused on understanding consumer insights, particularly in the area of emotions,” noted Williams. “I’m excited to work with Gradient Metrics to provide the very best research and analytics to brands and the political community using leading-edge, innovative research methodologies.”
Bell added: “As an investor in many iconic next-gen consumer and retail brands and a big fan of rigor and analytics from my academic days, I'm excited to work with Gradient Metrics to provide early stage founders with the thought partnership and tools they need to de-risk their ventures and set them on a path to success.”
“I’m thrilled to guide Gradient Metrics on using state-of-the-art methodology from the marketing domain,” said Datta. “There’s so much we can do to help clients, and I’m eager to work with Gradient Metrics by funneling a bit of my own creative energy and skills to advance the practice of marketing.”
About Gradient Metrics
Gradient Metrics is a premier global analytics firm offering services ranging from traditional market research to advanced analytics. Using a “methods-first” approach, the team of marketers and technologists use a hybrid approach to build predictive and informative models that guide critical business decision-making. Gradient Metrics provides leading-edge solutions to start-ups, well-known brands, consulting firms, political campaigns, and NGOs. Client work includes Bacardi, Estee Lauder, Godiva, Framebridge, Harry's, McKinsey&Company, Nike, Oscar, and Populace. For more information, go to www.gradientmetrics.com.