Yahoo! Inc.

Larry Weyer

Jagdish Chand

Ankur Barua

Ken Mallon

Kay Pham

Sanjay Wahi

A massive amount of information is collected when tracking statistics such as web site usage data. To simplify the analysis of such data, it is advantageous to process and segment the web site usage data. One proposed method of segmenting the data is to create a reverse sorted associative container for each different web section of a web site. Page-views, time-spent, sessions, and other web viewing metrics may be used as keys in the reverse sorted associative container and web viewer identifiers are used as values associated with the page-view value keys. After creating the reverse sorted associative containers, each reverse sorted associative container is segmented on a percentile basis.

Methods of processing and segmenting web usage information

A system and method for providing customized reports regarding pre-sale auto interest is enclosed herein. The reports are configured to provide pre-sale marketing research information about potential shoppers of particular auto models. The reports are also configured to provide information about competitors' auto models. The reports are also configured to provide demographic and interest information of the potential shoppers of the particular auto models.

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San Mateo, CA, United States of America

Larry Weyer