Matthew Schall

Blog - Profile

Marketing Analytics Lead

Matthew's passion is using data to predict human behavior, creating those reactions that increase profitability and solidify relationships. His mantra is "No Problem too Small, No Solution too Large."

Matthew accrued his 25 years of marketing analytics experience while at IBM, GE, and UniFocus. Using psychometric methods learned while earning his Ph.D. at UCLA, he has spent his career driving data and analyses to understand what motivates people.

Matthew delves deeply into any challenge and is a bit adventurous. He accidently froze himself to a glacier while camping in Alaska and has gotten lost across much of Asia. His calm demeanor amidst the demands of an ever changing environment is consistent with 40 years practicing the Zen of pottery; he strives to throw pieces so consistent with the earth that if placed on the ground, they disappear.

Blog - All Posts

Posted 05/01/2012 - 5:16pm

The Hackathon was a 24 hour contest Catalysis was invited to participate in for data mining geeks. Catalysis couldn’t think of anything more fun than letting our analytics team pull an all-nighter to prove their stuff. In this 24 hour long competition, we dealt with data that was quite tough to work with, much like some of the data you may have. We learned a lot, and we are sharing our learning here.

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Posted 04/26/2012 - 3:43pm

Our Marketing Analytics team is super geeked to participate in the first ever International Data Science Hackathon!

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Posted 02/07/2012 - 5:53pm

Our client, a century-old member-funded outdoor recreation club, was experiencing a multi-year decline in membership. They were anxious to identify the cause of this decline, which was impacting their bottom line. In 2011, they undertook a survey of current, past, and non-members to better understand what compels and prevents people from joining or renewing their memberships.

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Posted 10/28/2011 - 2:08pm

Many marketing, market research, analytics, and consulting firms offer to segment customers. On the surface, segmentation sounds great. Bucket customers into unique groups. Make the people in each group as similar as possible. Ideally, each segment has the same needs and is of the same value. Clients are told that than you need only craft a strategy for each segment to become an even more successful business. That is, each segment gets its own treatment.

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