Audience comparison

Patent metadata

Field	Value
Publication number	US-11080732-B2
Application number	US-201615180582-A
Country	US
Kind code	B2
Filing date	Jun 13, 2016
Priority date	Jun 13, 2016
Publication date	Aug 3, 2021
Grant date	Aug 3, 2021

Abstract

Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.

First claim

What is claimed is:

1. A computer-implemented method for providing a user interface representing differences between segments of end users, the method comprising:
receiving user input on the user interface indicating a selection of a first segment and a second segment, wherein the first segment comprises a subset of end users and the second segment comprises another subset of the end users;
randomly assigning the end users into either a first category or a second category by assigning each of the end users an identifier (ID) randomly, placing each of the end users having the ID that is odd into the first category, and placing each of the end users having the ID that is even into the second category;
selecting non-overlapping subsets of the end users from the first segment and the second segment by selecting a first subset of the first segment of the end users in the first category and selecting a second subset of the second segment of the end users in the second category;
identifying metrics and dimensions for the first segment and for the second segment;
identifying common metrics between the first segment and the second segment from the metrics, and identifying common dimensions between the first segment and the second segment from the dimensions;
identifying common metrics between the first subset of the first segment and the second subset of the second segment;
identifying common dimensions between the first subset of the first segment and the second subset of the second segment;
comparing the common metrics and the common dimensions to identify a subset of the common metrics and a subset of the common dimensions with a largest relative statistical difference using a three sample statistical test, wherein:
the comparing includes identifying the largest relative statistical difference in the common metrics and the largest relative statistical difference in the common dimensions for the first segment and the second segment by comparing respective distributions of the common metrics and the common dimensions for the first subset and the second subset using the three sample statistical test, and
the three sample statistical test includes forming a null-hypothesis, calculating a 3-sample test statistic, and computing a p-value from the 3-sample test statistic;
determining an order of the identified subset of the common metrics and the identified subset of the common dimensions such that those having a smaller p-value appear higher in the order; and
representing, on the user interface, the identified subset of the common metrics between the first segment and the second segment having the largest relative statistical differences and the identified subset of the common dimensions between the first segment and the second segment having the largest relative statistical differences according to the determined order.

2. The method of claim 1 further comprising representing, on the user interface prior to completion of the comparison, preliminary results of the identified subset of the common metrics between the first segment and the second segment having the largest relative statistical difference and preliminary results of the identified subset of the common dimensions between the first segment and the second segment having the largest relative statistical differences based on a sampling of data from the first segment and the second segment.

3. The method of claim 1 further comprising ordering the identified subset of the common metrics and the identified subset of common dimensions on the user interface in an order determined based on the relative statistical differences.

4. The method of claim 1 further comprising providing an online ad through a computing network to the subset of end users in the first segment, wherein the online ad is targeted to the end users in the first segment.

5. The method of claim 1 wherein the second segment is for all end users that are not in the first segment.

6. A computer program product for providing a user interface representing differences between segments of end users, said computer program product comprising:
a non-transitory computer-readable storage medium comprising program instructions executable by a computer, the program instructions comprising:
first instructions to receive user input on the user interface indicating a selection of a first segment and a second segment from the segments, wherein the first segment comprises a subset of the end users and the second segment comprises another subset of the end users;
second instructions to randomly assign the end users into either a first category or a second category, wherein the randomly assigning comprises assigning each of the end users an identifier (ID) randomly, placing each of the end users having the ID that is odd into the first category, and placing each of the end users having the ID that is even into the second category;
third instructions to select non-overlapping subsets of the end users from the first segment and the second segment by selecting a first subset of the first segment of the end users in the first category and selecting a second subset of the second segment of the end users in the second category;
fourth instructions to identify metrics and dimensions for the first segment and for the second segment;
fifth instructions to identify common metrics between the first segment and the second segment from the metrics, and identify common dimensions between the first segment and the second segment from the dimensions;
sixth instructions to identify common metrics between the first subset of the first segment and the second subset of the second segment;
seventh instructions to identify common dimensions between the first subset of the first segment and the second subset of the second segment;
eighth instructions to compare the common metrics and the common dimensions to identify a subset of the common metrics and a subset of the common dimensions with a largest relative statistical difference using a three sample statistical test, wherein:
the compare includes identifying the largest relative statistical difference in the common metrics and the largest relative statistical difference in the common dimensions for the first segment and the second segment by comparing respective distributions of the common metrics and the common dimensions for the first subset and the second subset using the three sample statistical test, and
the three sample statistical test includes forming a null-hypothesis, calculating a 3-sample test statistic, and computing a p-value from the 3-sample test statistic; and

ninth instructions to represent, on the user interface, the identified subset of the common metrics between the first segment and the second segment having the largest relative statistical differences and the identified subset of the common dimensions between the first segment and the second segment having the largest relative statistical differences.

7. The computer program product of claim 6 , wherein the program instructions further comprise:
tenth instructions to represent, on the user interface prior to completion of the comparison, preliminary results of the identified subset of the common metrics between the first segment and the second segment having the largest relative statistical difference and preliminary results of the identified subset of the common dimensions between the first segment and the second segment having the largest relative statistical differences based on a sampling of data from the first segment and the second segment.

8. The computer program product of claim 6 , wherein the program instructions further comprise:
tenth instructions to order the identified subset of the common metrics and the identified subset of commo

Assignees

• Adobe Inc

Inventors

• Paulsen Trevor
• Mathis Craig
• Vlassis Nikolaos
• Kveton Branislav
• Paries Kristopher
• Andrus Ivan
• Bui Hung
• Rimer Michael

Classifications

• G06F3/0484

  for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

• G06Q30/0204 Primary

  Market segmentation · CPC title