System and method for separating content site visitor profiles

Patent metadata

Field	Value
Publication number	US-11140233-B2
Application number	US-201916510482-A
Country	US
Kind code	B2
Filing date	Jul 12, 2019
Priority date	Aug 30, 2013
Publication date	Oct 5, 2021
Grant date	Oct 5, 2021

Abstract

Embodiments of the systems described herein can implement one or more visitor tearing processes. Visitor tearing can include, among other things, one or more processes by which multiple visitors that may appear to be the same visitor may be separated into different visitor profiles due to the leveraging of one or more unique persistent identifiers.

First claim

What is claimed:

1. A method comprising:
under control of a hardware processor:
receiving first visitor data via a computer network,
wherein the first visitor data is gathered by a first data collection tag and indicative of user interactions with a first content page, the first visitor data comprising a cookie-derived visitor identifier associated with a first visitor visiting the first content page, the first data collection tag comprising instructions to gather the first visitor data and transmit the first visitor data via the computer network;
storing at least some of the first visitor data in association with a visitor profile that corresponds to the cookie-derived visitor identifier;
receiving second visitor data via the computer network,
wherein the second visitor data is gathered by a second data collection tag and indicative of user interactions with a second content page different from the first content page, the second visitor data comprising the cookie-derived visitor identifier, the second data collection tag comprising instructions to gather the second visitor data and transmit the second visitor data via the computer network;
storing at least some of the second visitor data in association with the visitor profile;
determining from the first visitor data and the second visitor data that the second visitor data is potentially associated with a second visitor different from the first visitor associated with the first visitor data; and
assigning an indicator to the visitor profile, the indicator denoting that the visitor profile is potentially associated with a plurality of visitors rather than a single visitor.

2. The method of claim 1 , further comprising determining a probability that the visitor profile is associated with plurality of visitors rather than the single visitor, the indicator comprising data denoting the probability.

3. The method of claim 1 , wherein said assigning the indicator to the visitor profile is performed in response to said determining that the second visitor data is potentially associated with the second visitor.

4. The method of claim 1 ,
wherein the first visitor data comprises a first identifier,
wherein the second visitor data comprises a second identifier different from the first identifier, and
wherein said determining that the second visitor data is potentially associated with the second visitor comprises determining from a comparison of the first identifier and the second identifier that the second visitor data is potentially associated with the second visitor.

5. The method of claim 1 ,
wherein the first visitor data comprises first browsing data,
wherein the second visitor data comprises second browsing data different from the first browsing data, and
wherein said determining that the second visitor data is potentially associated with the second visitor comprises determining from a comparison of the first browsing data and the second browsing data that the second visitor data is potentially associated with the second visitor.

6. The method of claim 1 ,
wherein the first visitor data comprises first timestamps,
wherein the second visitor data comprises second timestamps different from the first timestamps, and
wherein said determining that the second visitor data is potentially associated with the second visitor comprises determining from a comparison of the first timestamps and the second timestamps that the second visitor data is potentially associated with the second visitor.

7. A system comprising:
a memory device; and
a hardware processor configured to:
receive first visitor data via a computer network,
wherein the first visitor data is gathered by a first data collection tag and indicative of user interactions with a first content page, the first visitor data comprising a cookie-derived visitor identifier associated with a first visitor visiting the first content page, the first data collection tag comprising instructions to gather the first visitor data and transmit the first visitor data via the computer network;
store at least some of the first visitor data in association with a visitor profile that corresponds to the cookie-derived visitor identifier;
receive second visitor data via the computer network,
wherein the second visitor data is gathered by a second data collection tag and indicative of user interactions with a second content page different from the first content page, the second visitor data comprising the cookie-derived visitor identifier, the second data collection tag comprising instructions to gather the second visitor data and transmit the second visitor data via the computer network;
store at least some of the second visitor data in association with the visitor profile;
determine, from the first visitor data and the second visitor data, a likelihood that the second visitor data is associated with a second visitor different from the first visitor associated with the first visitor data; and
assign an indicator to the visitor profile responsive to the likelihood.

8. The system of claim 7 , wherein the hardware processor is configured to determine the likelihood from a comparison of the first visitor data and the second visitor data.

9. The system of claim 7 ,
wherein the first visitor data comprises a first identifier,
wherein the second visitor data comprises a second identifier different from the first identifier, and
wherein the hardware processor is configured to determine the likelihood from the first identifier and the second identifier.

10. The system of claim 7 ,
wherein the first visitor data comprises first browsing data,
wherein the second visitor data comprises second browsing data different from the first browsing data, and
wherein the hardware processor is configured to determine the likelihood from the first browsing data and the second browsing data.

11. The system of claim 7 ,
wherein the first visitor data comprises first timestamps,
wherein the second visitor data comprises second timestamps different from the first timestamps, and
wherein hardware processor is configured to determine the likelihood from the first timestamps and the second timestamps.

12. The system of claim 7 , wherein the hardware processor is configured to, responsive to the likelihood, store at least some of the second visitor data in association with another visitor profile is performed.

13. The system of claim 7 , wherein the hardware processor is configured to determine the likelihood without using persistent identifiers.

14. Non-transitory physical computer storage comprising instructions stored thereon that, when executed by a hardware processor, are configured to implement a process comprising:
receiving first visitor data via a computer network,
wherein the first visitor data is gathered by a first data collection tag and indicative of user interactions with a first content page, the first visitor data comprising a cookie-derived visitor identifier associated with a first visitor visiting the first content page, the first data collection tag comprising instructions to gather the first visitor data and transmit the first visitor data via the computer network;
storing at least some of the first visitor data in association with a visitor profile that corresponds to the cookie-derived visitor identifier;
receiving second visitor data via the computer network,
wherein the second visitor data is gathered by a second data collection tag and indicative of user interactions with a second content page different from the first content page, the second visitor data comprising the cookie-derived visitor identifier, the sec

Assignees

• Tealium Inc

Inventors

• Glommen Charles
• Williams Ii Benjamin Richard

Classifications

• H04L67/535 Primary

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04L67/306 Primary

  User profiles · CPC title

• H04L67/02

  based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

• H04L67/146

  Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding · CPC title

• H04L67/22 Primary

  Electricity · mapped topic