NON-COMMITTAL VISITOR STITCHING

• US 20160142272A1
• Filed: 11/19/2014
• Published: 05/19/2016
• Est. Priority Date: 11/19/2014
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Stringham, Russell R.
• Granted Patent: US 9,660,880 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Techniques are provided for transforming information about unique visits to a website or interactions with a mobile application by a single individual on different devices into unified analytical data representing these visits. One or more visitor stitching models can be used to quantify unique visits as belonging to the same person with a certain level of confidence. In addition to maintaining separate records for each unique visit, a unified record is generated, which represents a combination of the unique visits by the same person. Various analytics can then be performed on the unique and unified records. The unified records are favored over the separate data records wherever the stitching model corresponding to the unified record provides a certainty that meets or exceeds a user-specified confidence level. The visitor stitching model used for the analytics is considered non-committal because different models can be employed or none at all, depending on user preferences.

Claims

1. A computer-implemented method comprising:

receiving, by a processor, first unique visit interaction data representing interactions with a first entity by a first visitor and second unique visit interaction data representing interactions with a second entity by a second visitor;

aggregating, by the processor, the first unique visit interaction data with the second unique visit interaction data to produce first unified visit interaction data;

computing, by the processor using a first visitor stitching algorithm, a first unified visitor level of certainty that the first visitor and the second visitor are the same visitor; and

generating, by the processor, a report using;

the first unified visit interaction data while a user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first and second unique visit interaction data while the user-specified level of certainty is greater than the first unified visitor level of certainty.

2. The method of claim 1, further comprising receiving, by the processor, additional first unique visit interaction data and aggregating the additional first unique visit interaction data with the first unified visit interaction data.

3. The method of claim 1, wherein the report is used to target an advertisement to the first visitor using one of information obtained from the first unified visit interaction data where the first unified visit interaction data is used for the report, and information obtained from the first unique visit interaction data where the first unified visit interaction data is not used for the report.

4. The method of claim 1, further comprising:

receiving, by a processor, third unique visit interaction data representing interactions with a third entity by a third visitor;

aggregating, by the processor, the third unique visit interaction data with the first and second unique visit interaction data to produce second unified visit interaction data; and

computing, by the processor using a second visitor stitching algorithm, a second unified visitor level of certainty that the first visitor, the second visitor and the third visitor are the same visitor,

wherein the generating of the report uses;

the second unified visit interaction data while the user-specified level of certainty is less than or equal to the second unified visitor level of certainty;

the first unified visit interaction data and the third unique visit interaction data while the user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first, second and third unique visit interaction data while the user-specified level of certainty is greater than the first and second unified visitor levels of certainty.

5. The method of claim 1, wherein the interactions with the first entity by the first visitor occur on a same computing device as the interactions with the second entity by the second visitor.

6. The method of claim 1, wherein the interactions with the first entity by the first visitor and the interactions with the second entity by the second visitor occur on different computing devices.

7. The method of claim 1, wherein the first visitor stitching algorithm is one of a login-type stitching algorithm, an Internet Protocol (IP) address-type stitching algorithm, and a probabilistic stitching algorithm.

8. A system comprising:

a storage;

a processor operatively coupled to the storage, the processor configured to execute instructions stored in the storage that when executed cause the processor to carry out a process comprising;

receiving first unique visit interaction data representing interactions with a first entity by a first visitor and second unique visit interaction data representing interactions with a second entity by a second visitor;

aggregating the first unique visit interaction data with the second unique visit interaction data to produce first unified visit interaction data;

computing, using a first visitor stitching algorithm, a first unified visitor level of certainty that the first visitor and the second visitor are the same visitor; and

generating a report using;

the first unified visit interaction data while a user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first and second unique visit interaction data while the user-specified level of certainty is greater than the first unified visitor level of certainty.

9. The system of claim 8, wherein the process includes receiving additional first unique visit interaction data and aggregating the additional first unique visit interaction data with the first unified visit interaction data.

10. The system of claim 8, wherein the aggregation of the first and second unique visit interaction data is performed in advance of running the report.

11. The system of claim 8, wherein the process includes:

receiving third unique visit interaction data representing interactions with a third entity by a third visitor;

aggregating the third unique visit interaction data with the first and second unique visit interaction data to produce second unified visit interaction data; and

computing, using a second visitor stitching algorithm, a second unified visitor level of certainty that the first visitor, the second visitor and the third visitor are the same visitor,

and wherein the generating of the analytics report uses;

the second unified visit interaction data while the user-specified level of certainty is less than or equal to the second unified visitor level of certainty;

the first unified visit interaction data and the third unique visit interaction data while the user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first, second and third unique visit interaction data while the user-specified level of certainty is greater than the first and second unified visitor levels of certainty.

12. The system of claim 8, wherein the interactions with the first entity by the first visitor occur on a same computing device as the interactions with the second entity by the second visitor.

13. The system of claim 8, wherein the interactions with the first entity by the first visitor and the interactions with the second entity by the second visitor occur on different computing devices.

14. The system of claim 8, wherein the first visitor stitching algorithm is one of a login-type stitching algorithm, an Internet Protocol (IP) address-type stitching algorithm, and a probabilistic stitching algorithm.

15. A non-transient computer program product having instructions encoded thereon that when executed by one or more processors cause a process to be carried out, the process comprising:

receiving first unique visit interaction data representing interactions with a first entity by a first visitor and second unique visit interaction data representing interactions with a second entity by a second visitor;

aggregating the first unique visit interaction data with the second unique visit interaction data to produce first unified visit interaction data;

computing, using a first visitor stitching algorithm, a first unified visitor level of certainty that the first visitor and the second visitor are the same visitor; and

generating a report using;

the first unified visit interaction data while a user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first and second unique visit interaction data while the user-specified level of certainty is greater than the first unified visitor level of certainty.

16. The computer program product of claim 15, wherein the process includes receiving additional first unique visit interaction data and aggregating the additional unique first visit interaction data with the first unified visit interaction data.

17. The computer program product of claim 15, wherein the report is used to target an advertisement to the first visitor using one of information obtained from the first unified visit interaction data where the first unified visit interaction data is used for the report, and information obtained from the first unique visit interaction data where the first unified visit interaction data is not used for the report.

18. The computer program product of claim 15, wherein the process includes:

receiving third unique visit interaction data representing interactions with a third entity by a third visitor;

aggregating the third unique visit interaction data with the first and second unique visit interaction data to produce second unified visit interaction data; and

computing, using a second visitor stitching algorithm, a second unified visitor level of certainty that the first visitor, the second visitor and the third visitor are the same visitor based on the first, second and third visit interaction data,

and wherein the generating of the analytics report uses;

the second unified visit interaction data while the user-specified level of certainty is less than or equal to the second unified visitor level of certainty;

the first unified visit interaction data and the third unique visit interaction data while the user-specified level of certainty is less than or equal to the first unified visitor level of certainty; and

each of the first, second and third unique visit interaction data while the user-specified level of certainty is greater than the first and second unified visitor levels of certainty.

19. The computer program product of claim 15, wherein the interactions with the first entity by the first visitor occur on a same computing device as the interactions with the second entity by the second visitor.

20. The computer program product of claim 15, wherein the interactions with the first entity by the first visitor and the interactions with the second entity by the second visitor occur on different computing devices.