Predictive Analytics for Business, Marketing and Web 2011

27-28 Oct 2011 at AMA Conference Center, San Francisco, USA

Business, Economics, Other

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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.

From: October 27, 2011 00:00
To: October 28, 2011 23:59

AMA Conference Center, 55 Fourth Street, 2nd Level, 94103 , San Francisco, USA


Business, Economics, Other

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