How Target Gets the Most out of Its Guest Data to Improve Marketing ROI - Predictive Analytics Times - machine learning & data science news
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  • Oct 18, 2010
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9 years ago
How Target Gets the Most out of Its Guest Data to Improve Marketing ROI

 

Scroll down for the video: Presentation at Predictive Analytics World by Andrew Pole, Senior Manager, Target – October 2010.

Target Corp. is the fifth-largest retailer in America, providing a convenient one-stop shopping destination for guests seeking food, commodities, home furnishings, electronics, sporting goods, toys, apparel and more, both in-store and online. During these challenging economic times, Target is focused on delivering compelling reasons for guests to shop with us – and we continue to stand by our commitment to offering exceptional value, a broad assortment of outstanding merchandise and a superior store experience to each and every guest. To that end, Target is constantly examining how we can leverage innovative technology, analytics, and data to optimize our business model.

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 Andrew Pole’s work experience includes Marketing research and CRM analytics as a Lead Consumer Analyst at Hallmark Cards, Analytics manager at Hallmark Loyalty Marketing Group consulting on CRM activities for clients ranging from Nestle-Purina, Cendant Mortgage, and Schwans Foods, and, currently, Sr. Manager at Target, managing a team of 40 people in the US and India supporting the analytics, campaign design/execution, and operational/performance reporting for Target stores and Target.com marketing campaigns. Mr. Pole’s degrees include BA Math and Music (Augustana College), MS Statistics (Kansas State University), MA Economics (University of Missouri-Kansas City).

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