Pre-feature promotion system

Patent metadata

Field	Value
Publication number	US-11734715-B2
Application number	US-202117154157-A
Country	US
Kind code	B2
Filing date	Jan 21, 2021
Priority date	Jan 31, 2012
Publication date	Aug 22, 2023
Grant date	Aug 22, 2023

Abstract

A promotion offering system and method is disclosed. The promotion offering system and method selects consumers for a test promotion that has one or more attributes, and is configured to generate test data for multiple consumer groupings. The promotion offering system and method may use the test data in analyzing whether to send a promotion to a consumer. For example, the promotion offering system and method may use one algorithm to generate a list of ranked promotions, and may use the test data in order to adjust the list of ranked promotions (such as replacing a highest ranked promotion with another promotion).

First claim

What is claimed is:

1. An apparatus comprising at least one processor and at least one memory storing instructions that, with the at least one processor, cause the apparatus to:
select, via the at least one processor and from a consumer profiles database storing a plurality of consumer profiles comprising consumer attributes data describing a respective profile of each consumer of a group of consumers, a first consumer profiles subset to receive a first offer,
wherein the first consumer profiles subset is associated with a pre-determined profile distribution representing a number of consumer profiles to be selected associated with each distance range of a plurality of distance ranges,
wherein each consumer profile of the first consumer profiles subset is associated with a distance to a consumer location corresponding to the consumer profile from a redemption location corresponding to a promotion,
wherein each distance range defines a bounded range of distances,
wherein the first consumer profiles subset is dynamically determined according to meeting a representative proportion of a control population for each distance range that is representative to exhibit the pre-determined profile distribution,
wherein the first consumer profiles subset is grouped to different distance ranges of the plurality of distance ranges based at least in part on different consumer locations corresponding to different consumer profiles of the first consumer profiles subset that are each within a specific distance range of the plurality of distance ranges;
send, via a communication interface, the first offer to first devices associated with the first consumer profiles subset via a push-type communication;
receive, via the communication interface, from the devices associated with at least a portion of the first consumer profiles subset, feedback data,
in response to receiving the feedback data, select, via the at least one processor, an updated profile distribution of the plurality of distance ranges based at least in pan on the feedback data;
determine, from the consumer profiles database, a second consumer profiles subset that fulfills the updated profile distribution of the plurality of distance ranges using a dynamic determination based at least in part on the updated profile distribution and second consumer locations corresponding to the second consumer profiles subset; and
provide, via the communication interface, a subsequent offer to second devices associated with the second consumer profiles subset.

2. The apparatus of claim 1 ,
wherein the feedback data includes at least one of (1) acceptance of the first offer, (2) rejection of the first offer, (3) considered the first offer, and (4) did not consider the first offer;
wherein the feedback data of ‘did not consider’ comprises receiving the push-type communication but failing to open the push-type communication with the pre-feature promotion or failing to click on a link to a webpage containing the pre-feature promotion,
wherein the feedback of ‘considered’ comprises opening of the push-type communication containing the pre-feature promotion or clicking on the link in the push-type communication to access the webpage for the pre-feature promotion.

3. The apparatus of claim 1 , wherein the subsequent offer comprises a same discount value as the first offer.

4. The apparatus of claim 1 , wherein the subsequent offer comprises a different discount value as the first offer.

5. The apparatus of claim 1 , wherein the second consumer profiles subset comprises a larger number of consumer than the first consumer profiles subset.

6. The apparatus of claim 1 , wherein the consumer location corresponding to a particular consumer profile represents a current location corresponding to the particular consumer profile.

7. The apparatus of claim 1 , wherein the feedback data comprises at least one signal representing at least one indication that:
at least one consumer profile of the first consumer profiles subset opened a digital communication comprising the first offer,
at least one consumer profile of the first subset of consumers did not open the digital communication,
at least one consumer profile of the he first consumer profiles subset clicked on a link in the digital communication, or
at least one consumer profile of the he first consumer profiles subset clicked on the link in the digital communication.

8. A computer-implemented method comprising:
selecting, via at least one processor and from a consumer profiles database storing a plurality of consumer profiles comprising consumer attributes data describing a respective profile of each consumer of a group of consumers, a first consumer profiles subset to receive a first offer,
wherein the first consumer profiles subset is associated with a pre-determined profile distribution representing a number of consumer profiles to be selected associated with each distance range of a plurality of distance ranges,
wherein each consumer profile of the first consumer profiles subset is associated with a distance to a consumer location corresponding to the consumer profile from a redemption location corresponding to a promotion,
wherein each distance range defines a bounded range of distances,
wherein the first consumer profiles subset is dynamically determined according to meeting a representative proportion of a control population for each distance range that is representative to exhibit the pre-determined profile distribution,
wherein the first consumer profiles subset is grouped to different distance ranges of the plurality of distance ranges based at least in part on different consumer locations corresponding to different consumer profiles of the first consumer profiles subset that are each within a specific distance range of the plurality of distance ranges;
sending, via a communication interface, the first offer to first devices associated with the first consumer profiles subset via a push-type communication;
receiving, via the communication interface, from the devices associated with at least a portion of the first consumer profiles subset, feedback data,
in response to receiving the feedback data, selecting, via the at least one processor, an updated profile distribution of the plurality of distance ranges based at least in part on the feedback data;
determining, from the consumer profiles database, a second consumer profiles subset that fulfills the updated profile distribution of the plurality of distance ranges using a dynamic determination based at least in part on the updated profile distribution and second consumer locations corresponding to the second consumer profiles subset; and
providing, via the communication interface, a subsequent offer to second devices associated with the second consumer profiles subset.

9. The computer-implemented method of claim 8 ,
wherein the feedback data includes at least one of (1) acceptance of the first offer, (2) rejection of the first offer, (3) considered the first offer, and (4) did not consider the first offer;
wherein the feedback data of ‘did not consider’ comprises receiving the push-type communication but failing to open the push-type communication with the pre-feature promotion or failing to click on a link to a webpage containing the pre-feature promotion,
wherein the feedback of ‘considered’ comprises opening of the push-type communication containing the pre-feature promotion or clicking on the link in the push-type communication to access the webpage for the pre-feature promotion.

10. The computer-implemented method of claim 8 , wherein the subsequent offer comprises a same discount value as the first offer.

11. The computer-implemented method

Assignees

• Groupon Inc

Inventors

• Thacker David
• Aggarwal Amit
• Chang Kevin

Classifications

• G06Q30/0254 Primary

  based on statistics · CPC title