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Scott Nuernberger

Senior Vice President, Attribution and Performance Analytics
Scott Nuernberger

Scott has more than 20 years of experience developing and implementing analytical solutions into marketing programs for many different companies, including GEICO, AEGON, MBNA, Fidelity, DirectTV, Eli Lilly, GSK, and Dell. Prior to joining Merkle, Scott worked for American Express as a statistician and modeler and taught graduate students statistical methods and experimental design at Cornell University. Scott has dual BS degrees in Brain and Cognitive Sciences and Statistics from The University of Rochester, a MS degree in Statistics from Cornell University, and an MBA from Johns Hopkins University.

Scott has been honored with several awards within Merkle, including The "Merkled" Award (Employee of the Year), Database Marketing Excellence, Outstanding Achievement, and the Chairman's Award, which is the highest recognition within Merkle. Scott's team also won the NCDM Excellence Award in the Modeling and Analytics Area with GEICO in 2005. Additionally, Scott has presented numerous times at the NCDM and DM Days, and has published 3 white papers for Merkle since 2008.

Scott's Articles, Blog Posts, Webinars and More

Harnessing AI for Customer Sentiment, Product Content and Pricing Optimization

The digital economy has changed how customers interact with a brand, presenting new opportunities to build valuable relationships with brands. To seize these opportunities, marketers must keep up with the rich information exchange customers now expect. Easier said than done, right?  ​

Being a layer removed from customers doesn't mean pharma brands can't focus on customer experience

Optimizing the Customer Journey: How Pharma is Using Analytics to Improve Customer Experience

Pharma marketing departments are no longer just responsible for bringing in new subscribers. They are now tasked with managing the entire customer experience, starting from the initial interaction to establishing and maintaining a loyal brand relationship.