October 23, 2018 10:00 AM PST

Get the Most Out of Customer Interactions with Machine Learning

Learn how Wootric uses machine learning to analyze support tickets and survey responses to improve agent efficiency and customer experience
Meet the Speakers
Jessica Pfeifer
Jessica Pfeifer

CCO & Co-Founder

Kathryn Randazzo

Product Marketing Manager

Data without actionable insights is like bread without butter. Peanut butter without jelly. It’s just data. But collecting, organizing, and analyzing data can be time and cost prohibitive—especially when it comes to customer feedback. The question is, how do we look for trends, surface insights, and identify problems in our qualitative customer feedback in an efficient way—in a way that creates real business value?

Welcome to Jessica Pfeifer’s world, CCO and Co-Founder of Wootric. Join her as she sits down with our own Kathryn Randazzo, Product Marketing Manager at MindTouch, to discuss the ways AI and machine learning can unlock actionable insights that help improve the customer experience.

What You’ll Learn:

  • Why AI and machine learning are more than just buzzwords
  • How machine learning can help companies analyze qualitative feedback
  • The first steps toward extracting value from existing CSAT, CES, and NPS scores
Meet the Speakers
Jessica Pfeifer
Jessica Pfeifer
CCO & Co-Founder

Jessica Pfeifer is Chief Customer Officer and Co-founder of Wootric. Jessica advises companies on effective use of customer feedback to drive retention and business growth. An expert on modern Voice of Customer program strategy, Jessica holds a BA from Yale University and an MBA from Harvard Business School.

Kathryn Randazzo
Product Marketing Manager

Kathryn Randazzo is a Product Marketing Manager at MindTouch, developing go to market strategies and communications initiatives with industry analysts. Prior to shifting to product marketing, she spent the past two and half years at MindTouch working with SAP as an Enterprise Account Executive helping companies solve for customer experience gaps in self-service.

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