Method for analyzing website visitors using anonymized behavioral prediction models
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United States of America Patent
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Apr 14, 2020
Grant Date -
Mar 26, 2015
app pub date -
Sep 5, 2014
filing date -
Sep 23, 2013
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Abstract
A method for analyzing web visitors using anonymized behavior production models begins with a website visitor accessing a website. The website includes a web beacon, which redirects the website visitor's browser to the server of a marketing services provider (MSP). The MSP server reads a cookie previously set by the MSP that includes an anonymous link. The anonymous link may be used to match data related to the website visitor that is maintained by the MSP, and browsing activity for that visitor is stored in an activity database from which periodic reports may be constructed for the website owner. The anonymous link is not associated with any personally identifiable information (PII), and thus privacy for the visitor is maintained.
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