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 re****ts 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/predictive-analytics-training.html,
or e-mail us at training@[EMAIL PROTECTED]
You may also call
(415) 683-1146.
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