GENERATING SEGMENTS BASED ON INTELLIGENT SEQUENTIAL DATA

• US 20160125041A1
• Filed: 11/05/2014
• Published: 05/05/2016
• Est. Priority Date: 11/05/2014
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Smith, Kyle W., Purser, Nathan A., George, William Brandon, Gaines, Benjamin R.
• Granted Patent: US 11,403,309 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06F 16/2471 Distributed queries
• CPC Class Codes: G06F 16/2474 Sequence data queries, e.g. querying versioned data
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0254 based on statistics

Abstract

The present disclosure is directed toward systems and methods that allow users to efficiently and effectively create and identify segments of usage patterns. For example, systems and methods described herein allow marketers to query and return sequential segments including sequence conditions based on user-defined dimension item values. Furthermore, systems and methods described allow marketers to query and return sequential segments including sequential events based on user-defined dimension variables. In addition to the foregoing, systems and methods described herein allow marketers to query and return sequential segments defined by repeated events performed at given regularity or frequency.

Claims

1. A method for sequentially segmenting a data set comprising:

receiving, by a server device comprising at least one processor, a segment query from a client device, the segment query comprising;

an indication of a first event and a second event, and

a sequence condition defined by one or more specific dimension item values;

querying, by the server device, an analytics database for a segment of users who performed the first event followed by the second event in accordance with the sequence condition defined by the one or more specific dimension item values; and

providing, by the server device, the segment of users to the client device.

2. The method as recited in claim 1, wherein:

the sequence condition comprises one of;

a number of purchases, a number of pages visited, a number of in-application purchases, a number of searches, a number of advertisements engaged; and

the one or more specific dimension item values comprises one of;

one or more specific products purchased, one or more specific pages visited, one or more specific applications from which the in-application purchases were made, one or more specific search queries, one or more specific advertisements engaged, or a campaign of advertisements.

3. The method as recited in claim 1, wherein the one or more specific dimension item values comprises a plurality of dimension item values.

4. The method as recited in claim 1, wherein:

the segment query further comprises an additional sequence condition; and

querying, by the server device, the analytics database comprises querying the analytics database for a segment of users who performed the first event followed by the second event in accordance with the sequence condition defined by the one or more specific dimension item values and the additional sequence condition.

5. The method as recited in claim 4, wherein the additional sequence condition comprises one or more additional specific dimension item values.

6. The method as recited in claim 4, wherein the additional sequence condition comprises a time-based sequence condition.

7. The method as recited in claim 1, wherein the one or more specific dimension item values comprises a variable.

8. The method as recited in claim 7, wherein the variable comprises one or more of a value, a regular expression, or an array of possible values.

9. The method as recited in claim 1, further comprising:

prior to receiving the segment query, providing, by the server device and to the client device, a graphical user interface, the graphical user interface comprising one or more segment query building controls;

wherein receiving, by the server device from the client device, the segment query comprises receiving an indication of one or more segment query building controls entered into the graphical user interface.

10. The method as recited in claim 9, further comprising:

receiving, by the server device, an input via one of the one or more segment query building controls that partially defines the segment query;

based on the input received via the segment query building control, providing, by the server device to the client device, an update indicating results of the partially defined segment query.

11. The method as recited in claim 1, wherein the indication of the first event and the indication of the second event specify actions performed by a user.

12. The method as recited in claim 11, wherein actions performed by the user comprise one or more of requesting a webpage, downloading data, uploading data, instantiating an application, or submitting a transaction.

13. A method for sequentially segmenting a data set comprising:

receiving, by a server device comprising at least one processor, a segment query from a client device, the segment query comprising;

an indication of an initial event defined by a dimension item variable, and

an indication of a subsequent event defined by the dimension item variable,

querying, by the server device, an analytics database for a segment of users who performed the initial event defined by the dimension item variable and then performed the subsequent event defined by the dimension item variable; and

providing, by the server device, the segment of users to the client device.

14. The method as recited in claim 13, wherein querying, by the server device, the analytics database for the segment of users who performed the initial event defined by the dimension item variable, then performed the subsequent event as defined by the dimension item variable comprises returning a segment of users who performed the initial event defined by a specific dimension item and then performed the subsequent event defined the same specific dimension item, the specific dimension item being any item of the dimension.

15. The method as recited in claim 13, wherein:

the segment query further comprises a sequence condition; and

querying, by the server device, the analytics database comprises querying the analytics database for a segment of users who performed the initial event defined by the dimension item variable followed by the subsequent event defined by the dimension item variable in accordance with the sequence condition.

16. The method as recited in claim 13, wherein dimension item variable comprises one or more of a single item variable, an item type variable, a plurality of item variables, or a plurality of item type variables.

17. A system for sequentially segmenting a data set comprising:

at least one processor;

at least one non-transitory computer readable storage medium storing instructions thereon, that, when executed by the at least one processor, cause the system to;

receive a segment query comprising;

a segment rule, and

a frequency threshold, wherein the frequency threshold is a number of times the segment rule is satisfied;

query an analytics database for a segment of users who satisfy the segment rule within the frequency threshold; and

provide the segment of users to a client device.

18. The system as recited in claim 17, wherein:

the segment rule comprises an event defined by a dimension item variable; and

the frequency threshold is defined by the number of times the segment rule is satisfied within a predetermined period of time.

19. The system as recited in claim 17, further comprising instructions that, when executed by the at least one processor, cause the system to provide analytical information from the analytics database associated with the segment of users.

20. The system as recited in claim 19, wherein the analytical information from the analytics database associated with the segment of users comprises one or more of events performed by each of the segment of users, a timestamp associated with each of the one or more events performed by each of the segment of users, tracking data associated with each of the segment of users, demographic data associated with each of the segment of users, or transaction data associated with each of the segment of users.