ST. LOUIS (PRWEB) March 07, 2019
Maritz Motivation Solutions, a leader in providing loyalty, sales performance and employee programs to US and global companies, announced today that its client HSBC has been honored with the 2019 Grand Motivation Masters Award, presented at the Incentive Live conference in Chicago.
The Motivation Masters award, sponsored by Northstar Meetings Group and Incentive Magazine, is the industry’s top honor and recognizes the year’s best, most effective and creative loyalty and reward programs. HSBC and Maritz were honored in the “Grand Motivation Master” category for their artificial intelligence (AI)-enabled credit card rewards customer loyalty program.
Leveraging the power of machine learning and artificial intelligence, the program used Maritz’ proprietary Points Concierge™ tool to send targeted recommendations to 75,000 credit card rewards members, spotlighting the rewards most likely to drive desired behavior. The AI-enabled recommendations proved three times as effective as the control group, pointing to the promise of predictive analysis in large-scale incentive programs in the years ahead.
“Our judges were really impressed by how HSBC, working closely with Maritz Motivation Solutions, used AI to make its loyalty program far more appealing and effective,” said Loren Edelstein, vice president and content director for NorthStar Meetings Group. “This is a great example of the growing value of predictive analysis in incentive programs, and the ongoing importance of leveraging data to generate results.”
“This recognition is a reflection of the dedication and commitment of Maritz and our people,” said chairman and CEO of Maritz Holdings, Steve Maritz. “We constantly strive to innovate with exciting and ground-breaking ideas that provide value to our clients. As we celebrate our 125th anniversary this year, it’s gratifying to be recognized for continuing to reinvent and transform the industry.”
Jesse Wolfersberger, chief data officer at Maritz Motivation Solutions, accepted the award on behalf of HSBC and Maritz and predicts the use of AI will have significant impact on loyalty programs and all types of marketing in the future. According to Wolfersberger, “The shift to AI-based marketing means going from reactive to proactive. We can anticipate the customer’s needs and preferences, enabling a one-to-one relationship. AI gives us an incredible tool to engage and delight customers, make reward programs more personalized, and increase engagement and effectiveness. It is an exciting time to be in this industry.”
"We took great care in designing our new portfolio of cards to meet the wants and needs of consumers, whether it's added purchasing power, maximizing cashback rewards or investing in life experiences," said Marcos Meneguzzi, head of cards and unsecured lending at HSBC. “Working with Maritz enabled us to be on the leading edge of innovation as we continue to deliver better experiences for our customers."
Maritz has also applied machine learning and AI to predict the retention rate of employees, forecast auto dealership sales and better understand employee engagement – all with the goal of motivating people to reach their full potential, leading to time savings for customers, higher-earning sales staff and happier employees.
About Maritz Motivation Solutions
Maritz Motivation Solutions creates better human experiences by strengthening the connection between businesses, employees, and customers using innovation and expertise. Maritz helps global companies build better relationships by designing programs that attract, engage and retain people with a full-service solution combining technology, program design, behavioral and data science, rewards and creative communication to achieve unsurpassed results.
Today, more than 470 million people participate in client programs representing industries including hotels, airlines, healthcare, automotive, manufacturing and financial services. For more information, visit http://www.maritzmotivation.com, follow us on Twitter or call 1-877-4-Maritz (1-877-462-7489).