Audience build configurations

Patent metadata

Field	Value
Publication number	US-2026094183-A1
Application number	US-202519345168-A
Country	US
Kind code	A1
Filing date	Sep 30, 2025
Priority date	Oct 1, 2024
Publication date	Apr 2, 2026
Grant date	—

Abstract

Systems and methods for generating an audience for a campaign are disclosed. An example system receives, from a user device, a request to generate an audience for a campaign. The system determines an audience intent based on the request and an audience parameter included in the request. The system extracts, based on the audience intent, attributes for products associated with the request, selects a product based on the attributes for products associated with the request, and generates a recommended audience build configuration for the product. The system further causes presentation of the recommended audience build configuration at the user device, and in response to selection of the recommended audience build configuration, generates the audience for the campaign based on the recommended audience build configuration.

First claim

What is claimed is:

1 . A system, comprising:
a database; a processor; and a non-transitory memory storing instructions, that when executed, cause the processor to:
receive, from a user device, a request to generate an audience for a campaign, the request including an audience parameter;
determine an audience intent based on the request and the audience parameter;
extract, based on the audience intent, attributes for products associated with the request;
select a product based on the attributes for products associated with the request;
generate a recommended audience build configuration for the product;
cause presentation of the recommended audience build configuration at the user device; and
in response to selection of the recommended audience build configuration, generate the audience for the campaign based on the recommended audience build configuration.

2 . The system of claim 1 , wherein the recommended audience build configuration is associated with one or more of a new audience building recommendation, a reach optimized recommendation, a conversion rate optimized recommendation, and a balanced optimized recommendation.

3 . The system of claim 1 , wherein:
the recommended audience build configuration is associated with one or more of a matching score, a reach score, and/or a performance score; and causing presentation of the recommended audience build configuration includes presenting one or more of the matching score, the reach score, and/or the performance score.

4 . The system of claim 1 , wherein the instructions, when executed, cause the processor to:
in response to a subsequent request to modify the recommended audience build configuration:
determine an updated audience intent based on, at least, the request, the audience parameter, and the subsequent request to modify the recommended audience build configuration;
extract, based on the updated audience intent, updated attributes for products associated with the request;
select an additional product based on the updated attributes for products associated with the request;
generate an additional recommended audience build configuration for the additional product;
cause presentation of the additional recommended audience build configuration at the user device; and
in response to selection of the additional recommended audience build configuration, generate the audience for the campaign based on the additional recommended audience build configuration.

5 . The system of claim 1 , wherein:
the recommended audience build configuration for the product is one of a plurality of recommended audience build configurations for the product; generating the recommended audience build configuration for the product includes generating the plurality of recommended audience build configurations for the product; and causing presentation of the recommended audience build configuration includes causing presentation of the plurality of recommended audience build configurations for the product.

6 . The system of claim 5 , wherein:
the plurality of recommended audience build configurations for the product are ranked in a ranked order based on one or more of a matching score, a reach score, and/or a performance score; and causing presentation of the plurality of recommended audience build configurations for the product includes presenting the plurality of recommended audience build configurations for the product in the ranked order.

7 . The system of claim 1 , wherein the attributes for products associated with the request include one or more of a product name, a brand name, product taxonomies, a product gender, a product color, and/or a product material.

8 . The system of claim 1 , wherein the instructions, when executed, cause the processor to extract, based on the audience intent, attributes for consumers associated with the request, wherein selection of the product is further based on the attributes for consumers associated with the request.

9 . The system of claim 8 , wherein the attributes for consumers associated with the request include one or more of gender, age, location, and/or income.

10 . The system of claim 1 , wherein the request includes a product parameter and determination of the audience intent is further based on the product parameter.

11 . A computer-implemented method, comprising:
receiving, from a user device, a request to generate an audience for a campaign, the request including an audience parameter; determining an audience intent based on the request and the audience parameter; extracting, based on the audience intent, attributes for products associated with the request; selecting a product based on the attributes for products associated with the request; generating a recommended audience build configuration for the product; causing presentation of the recommended audience build configuration at the user device; and in response to selection of the recommended audience build configuration, generating the audience for the campaign based on the recommended audience build configuration.

12 . The computer-implemented method of claim 11 , wherein the recommended audience build configuration is associated with one or more of a new audience building recommendation, a reach optimized recommendation, a conversion rate optimized recommendation, and a balanced optimized recommendation.

13 . The computer-implemented method of claim 11 , wherein:
the recommended audience build configuration is associated with one or more of a matching score, a reach score, and/or a performance score; and causing presentation of the recommended audience build configuration includes presenting one or more of the matching score, the reach score, and/or the performance score.

14 . The computer-implemented method of claim 11 , further comprising:
in response to a subsequent request to modify the recommended audience build configuration:
determining an updated audience intent based on, at least, the request, the audience parameter, and the subsequent request to modify the recommended audience build configuration;
extracting, based on the updated audience intent, updated attributes for products associated with the request;
selecting an additional product based on the updated attributes for products associated with the request;
generating an additional recommended audience build configuration for the additional product;
causing presentation of the additional recommended audience build configuration at the user device; and
in response to selection of the additional recommended audience build configuration, generating the audience for the campaign based on the additional recommended audience build configuration.

15 . The computer-implemented method of claim 11 , wherein:
the recommended audience build configuration for the product is one of a plurality of recommended audience build configurations for the product; generating the recommended audience build configuration for the product includes generating the plurality of recommended audience build configurations for the product; and causing presentation of the recommended audience build configuration includes causing presentation of the plurality of recommended audience build configurations for the product.

16 . A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause at least one device to perform operations comprising:
receiving, from a user device, a request to generate an audience for a campaign, the request including an audience par

Assignees

• Walmart Apollo Llc

Inventors

• Roy Manasij Sur
• Maharajan Chellapriyadharshini
• Wagh Prathamesh
• Chakraborty Sutirtha
• Bose Sanjoy

Classifications

• G06Q30/0244

  Optimization · CPC title

• G06Q30/0251 Primary

  Targeted advertisements · CPC title