Prof. Peter Fader
Professor of Marketing
Wharton School
About The Speaker
Prof. Peter Fader is the Frances and Pei-Yuan Chia Associate Professor of Marketing at the Wharton School of the University of Pennsylvania. His specialty centers around the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. The Direct Marketing Educational Foundation recently honored him with the 2007 Robert B. Clarke Outstanding Educator Award, for his overall achievement in direct/interactive marketing. Prof. Fader earned both his B.S. and Ph.D. from the Massachusetts Institute of Technology.
Events with this Speaker
52Sponsor IQ Score
7Sponsorships Left
Sponsorship Deadline
Projected Audience
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5% Other
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Data Informed’s Marketing Analytics & Customer Engagement brings together decision makers in marketing, customer support, and sales to learn about big data technology and best practices. As one of a limited number of sponsors, you will have direct access to these decision makers for the two days of the event. Depending on the level, a sponsorship may include:
- Exhibit space close to the general sessions
- A live demo of your product
- A day 2 keynote address
- All attendee names and contact info
- Pre- and post-event marketing support
Attendee Profile
At Data Informed, our sole focus is big data. We can see larger trends, gather best practices, offer advice and promote innovation in this space like no one else. Our specialized expertise is critical at a time when big data is changing the way enterprises do business.
Our audience for Marketing Analytics & Customer Engagement consists of key decision-makers such as CMOs, line-of-business, managers, and sales and marketing department heads, and the IT managers who support them. These are the leaders responsible for initiating, defining, and intelligently implementing big data projects.
Speakers and Topics
Marketing Analytics & Customer Engagement speakers are leading experts, consultants, and industry thought leaders who bring a practical enterprise point of view. Their sessions will show attendees how to use advanced analytics against data from all sources to:
- Fully understand and predict customer behavior
- Monitor and manage customer sentiment
- Initiate next best actions in real time
- Improve marketing effectiveness
- Generate leads
- Upsell existing customers
- Maximize web presence
43Sponsor IQ Score
10Sponsorships Left
May 31st, 2013Sponsorship Deadline
Projected Audience
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5% Other
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