From: elise@predictionimpact.com   
      
   Predictive Analytics for Business, Marketing and Web is a concentrated   
   training program that includes interactive breakout sessions.   
      
   Dates: April 3-4, May 8-9, and June 5-6, 2008   
   Location: Toronto (April), San Francisco (May), New York City (June)   
   Sponsor: Prediction Impact, Inc.   
   Instructor: Eric Siegel, Ph.D.   
      
   100% of October 2007 attendees rated this program Excellent or Very   
   Good.   
      
   (This seminar is offered in conjunction with the eMetrics Marketing   
   Optimization Summit.)   
      
   **Early-bird special: Sign up one month ahead for $100 off the   
   registration fee   
      
   Business metrics do a great job summarizing the past. But if you want   
   to predict how customers will respond in the future, there is one   
   place to turn--predictive analytics. By learning from your abundant   
   historical data, predictive analytics provides the marketer something   
   beyond standard business reports and sales forecasts: actionable   
   predictions for each customer. These predictions encompass all   
   channels, both online and off, foreseeing which customers will buy,   
   click, respond, convert or cancel. *If you predict it, you own it.*   
      
   The customer predictions generated by predictive analytics deliver   
   more relevant content to each customer, improving response rates,   
   click rates, buying behavior, retention and overall profit. For online   
   applications such as e-marketing and customer care recommendations,   
   predictive analytics acts in real-time, dynamically selecting the ad,   
   web content or cross-sell product each visitor is most likely to click   
   on or respond to, according to that visitor's profile. This is AB   
   selection, rather than just AB testing.   
      
   In two days we cover:   
      
   * The techniques, tips and pointers you need in order to run a   
   successful predictive analytics and data mining initiative   
   * How to strategically position and tactically deploy predictive   
   analytics and data mining at your company   
   * How to bridge the prevalent gap between technical understanding and   
   practical use   
   * How a predictive model works, how it's created and how much revenue   
   it generates   
   * Several detailed case studies that demonstrate predictive analytics   
   in action and make the concepts concrete   
      
   No background in statistics or modeling is required. The only specific   
   knowledge assumed for this training program is moderate experience   
   with Excel.   
      
   For more information, visit http://www.predictionimpact.com/pred   
   ctive-analytics-training.html,   
   or e-mail us at training@predictionimpact.com.  You may also call   
   (415) 683-1146.   
      
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