Statistical marketing attribution correlation
AssigneeInternational Business Machines Corporation
InventorPaul M. Nangle, III
Life of this patent
Estimating the term…
Abstract
Server access channel correlation information for multiple web access sessions is captured. The server access channel correlation information includes, for each web access session, a session-originating server access channel identifier of a server access channel that originated the web access session, and at least one cross-session correlation identifier usable to correlate sets of web access sessions and usable to correlate the sets of web access sessions with orders. In association with an order placed by a consumer during one of the web access sessions, integrated server access channel correlation information is captured that documents each server access channel that originated each web access session associated with the order.
Claims20
A computer-implemented method to improve detection, for a network analytics processor, of different server access channels that originate a plurality of web access sessions associated with a user, the computer implemented method comprising:
- in response to detecting the user accessing a link provided by a webpage via an access channel, deploying, by one or more processors, a distinct session cookie for each access session that the user accesses the link, wherein the distinct session cookie includes a session identifier associated with the user's access to the link and an access channel identifier associated with the webpage of that provided the link associated the user's access to the link;
- in response to an access session resulting in a placement of an order by the user, capturing, by the one or more processors, server access channel correlation information, wherein the server access channel correlation information indicates each webpage accessed by the user via the respective access channel contributed to the order;
- and
- determining, by the one or more processors, a credit for each server access channel based on the server access channel correlation information, wherein (i) the credit for each server access channel is based on a linear regression between (a) the different server access channels accessed during the plurality of web access sessions and (b) a plurality of orders occurring within the different server access channels and (ii) the detection of the different server access channels that did not result in the order by the user is improved.
A computer system to improve detection, for a network analytics processor, of different server access channels that originate a plurality of web access sessions associated with a user, the computer system comprising:
- one or more computer processors;
- one or more computer readable storage media;
- and
- program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
- in response to detecting the user accessing a link provided by a webpage via an access channel, program instructions to deploy a distinct session cookie for each access session that the user accesses the link, wherein the distinct session cookie includes a session identifier associated with the user's access to the link and an access channel identifier associated with the webpage of that provided the link associated the user's access to the link;
- in response to an access session resulting in a placement of an order by the user, program instructions to capture, by the one or more processors, server access channel correlation information, wherein the server access channel correlation information indicates each webpage accessed by the user via the respective access channel contributed to the order;
- and
- program instructions to determine a credit for each server access channel based on the server access channel correlation information, wherein (i) the credit for each server access channel is based on a linear regression between (a) the different server access channels accessed during the plurality of web access sessions and (b) a plurality of orders occurring within the different server access channels and (ii) the detection of the different server access channels that did not result in the order by the user is improved.
A computer program product to improve detection, for a network analytics processor, of different server access channels that originate a plurality of web access sessions associated with a user, the computer program product comprising:
- one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising:
- in response to detecting the user accessing a link provided by a webpage via an access channel, program instructions to deploy a distinct session cookie for each access session that the user accesses the link, wherein the distinct session cookie includes a session identifier associated with the user's access to the link and an access channel identifier associated with the webpage of that provided the link associated the user's access to the link;
- in response to an access session resulting in a placement of an order by the user, program instructions to capture, by the one or more processors, server access channel correlation information, wherein the server access channel correlation information indicates each webpage accessed by the user via the respective access channel contributed to the order;
- and
- program instructions to determine a credit for each server access channel based on the server access channel correlation information, wherein (i) the credit for each server access channel is based on a linear regression between (a) the different server access channels accessed during the plurality of web access sessions and (b) a plurality of orders occurring within the different server access channels and (ii) the detection of the different server access channels that did not result in the order by the user is improved.
Dependencies are inferred from the claim text.