Predictive Analytics, Machine Learning and Meaningful Customer Relationships
Published December 16, 2015
Last updated December 16, 2015
Your company’s success hinges on building strong relationships with your customers, and relationships take work. Sometimes flowers and chocolates, too.
More than giving customers a single great experience, it’s vital to use data to provide a lifetime of great ‘dates’. In this 60-minute on-demand webinar, Jason Maynard, Director of Data and Analytics, and Dave Dyson, Senior Customer Service Evangelist, will show you how machine learning can help improve your customer relationships, and how Zendesk uses predictive analytics to improve our support and raise customer satisfaction.
This webinar will cover:
- How you can use machine learning to improve your customer relationships
- How predictive analytics impacts customer service agents
- 4 business dating tips for forging more meaningful relationships with your customers
Jason Maynard is the Director of Data and Analytics at Zendesk. He heads up a team that builds products designed to unravel the complexity of customer relationships through data.
Dave Dyson is a Customer Service Evangelist at Zendesk’s headquarters in San Francisco. Formerly a senior customer support manager, he now works to help share the best practices he’s learned to Zendesk’s customers.