Clickstream analysis methods and systems
First Claim
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1. A method, comprising:
- obtaining, by a processor, an input data set reflecting online actions of a plurality of online users, wherein the plurality of online users are selected according to a panel selection process based on a statistical process of analyzing demographic characteristics of the online users, wherein the input data set includes a plurality of timestamps associated with the clickstream activity;
analyzing, by the processor, the data set to identify characteristics of cross-shopping behavior of the users between different brands of products; and
modifying an off-line marketing promotion that includes an offline incentive for buying a particular brand of product based on the identified characteristics, wherein the offline promotion include a process for offline presentation of a media item, and wherein the statistical process comprises;
conducting a survey of user demographics in an initial panel of users,determining a current statistic related to the user demographics in the initial panel of users,comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, andselecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics.
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Abstract
Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.
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Citations
28 Claims
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1. A method, comprising:
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obtaining, by a processor, an input data set reflecting online actions of a plurality of online users, wherein the plurality of online users are selected according to a panel selection process based on a statistical process of analyzing demographic characteristics of the online users, wherein the input data set includes a plurality of timestamps associated with the clickstream activity; analyzing, by the processor, the data set to identify characteristics of cross-shopping behavior of the users between different brands of products; and modifying an off-line marketing promotion that includes an offline incentive for buying a particular brand of product based on the identified characteristics, wherein the offline promotion include a process for offline presentation of a media item, and wherein the statistical process comprises; conducting a survey of user demographics in an initial panel of users, determining a current statistic related to the user demographics in the initial panel of users, comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, and selecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics. - View Dependent Claims (2, 3, 4, 5)
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6. A method, comprising:
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obtaining, by a processor, an input data set reflecting clickstream activity of a plurality of online users, including data reflecting actions of the users with respect to online content choices, wherein the plurality of online users are selected according to a panel selection process based on a statistical process of analyzing demographic characteristics of the online users, and wherein the input data set includes a plurality of timestamps associated with the clickstream activity; analyzing, by the processor, user behavior reflected by the clickstream activity; drawing, by the processor, one or more inferences based on the user behavior; and modifying one or more offline processes based on the inferences, wherein the offline processes include a process for offline presentation of a media item, wherein the statistical process comprises; conducting a survey of user demographics in an initial panel of users, determining a current statistic related to the user demographics in the initial panel of users, comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, and selecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics. - View Dependent Claims (7, 8, 9, 10)
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11. A method, comprising:
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obtaining, by a processor, an input data set reflecting clickstream activity of a plurality of online users, including data related to price sensitivity of the users determined from an online site of a first vendor, wherein the plurality of online users are selected according to a panel selection process based on a statistical process of analyzing demographic characteristics of the online users, and wherein the input data set includes a plurality of timestamps associated with the clickstream activity; analyzing, by the processor, user behavior reflected by the clickstream activity; drawing, by the processor, one or more inferences based on the user behavior; and modifying one or more offline processes based on the inferences, wherein the offline processes include a pricing process for an offline item of a second vendor, wherein the offline processes include a process for offline presentation of a media item, and wherein the first vendor is different from the second vendor, wherein the statistical process comprises; conducting a survey of user demographics in an initial panel of users, determining a current statistic related to the user demographics in the initial panel of users, comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, and selecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics. - View Dependent Claims (12)
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13. A method, comprising:
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obtaining, by a processor, an input data set reflecting clickstream activity of a plurality of online users, where the data set includes a plurality of timestamps associated with the clickstream activity, wherein the plurality of online users are selected according to a panel selection process based on a statistical process of analyzing demographic characteristics of the online users; analyzing, by the processor, user behavior reflected by the clickstream activity; drawing, by the processor, one or more inferences based on the user behavior; and modifying one or more offline processes based on the inferences, wherein the offline processes include a process for offline presentation of a media item, wherein the statistical process comprises; conducting a survey of user demographics in an initial panel of users, determining a current statistic related to the user demographics in the initial panel of users, comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, and selecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21)
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22. A method, comprising:
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selecting, by a processor, a plurality of online users for a current panel of users according to a panel selection process, wherein the panel selection process selects the current panel of users based on a statistical process of analyzing demographic characteristics of the plurality of online users; obtaining, by the processor, an input data set reflecting clickstream activity of the plurality of online users, wherein the input data set includes a plurality of timestamps associated with the clickstream activity; analyzing, by the processor, user behavior reflected by the clickstream activity; drawing, by the processor, one or more inferences based on the user behavior; and modifying one or more offline processes based on the inferences, wherein the offline processes include a process for offline presentation of a media item, and wherein the statistical process comprises; conducting a survey of user demographics in an initial panel of users, determining a current statistic related to the user demographics in the initial panel of users, comparing the current statistic to a statistic corresponding to a historical panel of users for updating the current statistic, and selecting the plurality of online users in the current panel of users from the initial panel of users based on the updated current statistic and the user demographics. - View Dependent Claims (23, 24, 25, 26, 27, 28)
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Specification