thINK Ahead -- 10 years Agenda

AGENDA

SESSION DETAILS

Response Optimization: Customer Success Stories with AI

Location: Royal III & IV
Date: Tuesday, July 15
Time: 2:30PM - 3:15PM EST

PRESENTER

Chris Wells

Chris
Wells

Executive Vice President
DS Graphics | Universal Wilde
Chris joined Massachusetts-based DS Graphics | Universal Wilde as Executive Vice President in August 2009 after DSG’s acquisition of LVI Print Optimization where he was CEO. He was also a co-founder of HubCast, Inc. He is the subject matter expert in mapping existing marketing and print procurement processes, analyzing operational and competitive benefits and cost savings, and recommending solutions. Chris is a past member of the Board of Directors for the Printing Industries of New England, The National Association of Printing Leadership’s Industry Trends Analysis Group, and the Young Presidents’ Organization. He was a founding member of the Hewlett-Packard Digital Printing Advisory Council and The Digital Solutions Cooperative (Dscoop). Chris is a graduate of Tufts University (1992). He serves as the President of the Ashburnham/Westminster Foundation for Academic Excellence and is very active in community service. In addition to spending time with his three grown children, Chris enjoys boating on Lake Winnipesaukee, skiing, and making music with his bandmates.
SESSION DESCRIPTION

Your customers are using AI in their businesses, and you are probably using AI in your business. Now we need to bridge the gap and use AI to create new business opportunities for our customers and build even deeper relationships with them. This session, targeted to marketers and print/mail service providers who work with their customers on business acquisition campaigns, will provide insight into real-life success stories of utilizing both Machine Learning and Generative AI to:
• Curate new audiences for products and services that generate exponential response lift.
• Significantly reduce the number of records in existing mailing lists to increase ROI through better responses with lower costs.
• Better qualify and identify potential leads and respond to them with offers, content, and response mechanisms that they have the highest propensity to respond to.
• Provide great tracking for your customers’ campaigns at a record or geospatial level.
• Build automated lead generation, nurturing, and conversion journeys that update in real time based on activity and responses.
• Use deep learning to help your customer identify customers who have a propensity to churn and create loyalty programs that keep them.
• Identify why customers have left and build meaningful win-back programs.