Date: Fri, 4 Apr 2008 02:42:36 -0700
Reply-To: Elise Johnson <firstname.lastname@example.org>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Elise Johnson <email@example.com>
Subject: Predictive Analytics for Business,
Marketing and Web (May 8-9 and June 5-6)
Content-Type: text/plain; charset=us-ascii
Predictive Analytics for Business, Marketing and Web is a concentrated
training program that includes interactive breakout sessions.
Dates: May 8-9 and June 5-6, 2008
Locations: San Francisco (May), New York City (June)
Sponsor: Prediction Impact, Inc.
Eric Siegel, Ph.D.
100% of October 2007 attendees rated this program Excellent or Very Good (
http://www.predictionimpact.com/predictive-analytics-seminar.html details ).
**Early-bird special: Sign up one month ahead for $100 off the registration
(This seminar is offered in conjunction with the eMetrics Marketing
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
How a predictive model works, how it's created and how much revenue it
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
For more information, visit
Analytics for Business, Marketing and Web , e-mail us at
mailto:firstname.lastname@example.org email@example.com or call
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