Method and system for predictive marketing campigns based on users online behavior and profile

Inactive Publication Date: 2014-05-22
MARKETO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Big data systems which can work with batch and asynchronous processing, raise a challenge for providing predictive analytics data response that would be ready for real-time interactions.

Method used

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  • Method and system for predictive marketing campigns based on users online behavior and profile
  • Method and system for predictive marketing campigns based on users online behavior and profile
  • Method and system for predictive marketing campigns based on users online behavior and profile

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Embodiment Construction

[0028]In the following detailed description of various embodiments, reference is made to the accompanying drawings that form a part thereof, and in which are shown by way of illustration specific embodiments in which the invention may be practiced. It is understood that other embodiments may be utilized and structural changes may be made without departing from the scope of the present invention.

[0029]The term “big data” as used herein in this application, is defined as a collection of data sets that is so large and complex that it is not possible to handle with database management tools. As per Gartner, “Big Data are high-volume, high-velocity, and / or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”

[0030]The term “anonymous profile” as used herein in this application, is defined as a visitor of a website that didn't identify by login process to the website.

[0031]The term “proprietary...

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Abstract

The present invention discloses a method for providing prediction of content usage in a website. The method comprising the steps of: real time monitoring traffic of visitors in a website, tracking visitors that are visiting the monitored website to identify one or more parameters relating to user profile, navigation path or content usage, applying at least one statistical algorithm on identified parameters, said algorithm is at least one of: clustering algorithm, nearest neighbor algorithm or probability algorithm and defining content replacement and recommendation for visitors when visiting the monitored website according analysis results of the at least one statistical algorithm.

Description

TECHNICAL FIELD[0001]The present invention relates to the field of marketing prediction, and more particularly, to predicting content usage based on statistically analyzing online visitor's behavior patterns.BACKGROUND ART[0002]Current solutions for predicting content usage are based on likelihood of a user to consume a content item based on statistical usage the similar content items by other visitors ignoring the knowledge which can be collected of user identification and navigation behavior when browsing a particular website.[0003]Known in the art predictive analytics utilizes machine learning algorithms over big data, using common practices of scoring, next best item and optimized email campaigns. The Big data systems which can work with batch and asynchronous processing, raise a challenge for providing predictive analytics data response that would be ready for real-time interactions.SUMMARY OF INVENTION[0004]The present invention discloses a method for providing prediction of c...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q30/02G06F40/00G06F40/14
CPCG06Q30/0202G06Q30/0201G06F16/951G06Q30/0641G06F40/14H04L67/535G06N7/01H04L67/306
Inventor ALON, MICKEYTELEM, MIKE
Owner MARKETO
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