Inbox management system

Patent metadata

Field	Value
Publication number	US-11488201-B1
Application number	US-202017027176-A
Country	US
Kind code	B1
Filing date	Sep 21, 2020
Priority date	Jun 29, 2012
Publication date	Nov 1, 2022
Grant date	Nov 1, 2022

Abstract

Systems and methods are presented for managing electronic promotion correspondence sent to consumers. A system may manage electronic promotion correspondence sent on a per-consumer basis. The system may access multiple electronic promotion correspondences generated for a particular consumer, select an electronic promotion correspondence from among the multiple electronic promotion correspondences, and determine to send the electronic promotion correspondence to the consumer according to any number of factors. The system may determine a target time to send the first electronic promotion correspondence to the consumer and selected communication channel to send the electronic promotion correspondence through.

First claim

The invention claimed is:

1. A system comprising:
a non-transitory memory storing processor-executable instructions; and
a processor in communication with the non-transitory memory, the processor configured to execute the processor-executable instructions to:
generate an experiment table data object comprising metadata defining correlations between a plurality of experimental cadences for transmitting electronic correspondences and a plurality of user profile segments, wherein each of the plurality of user profile segments is associated with an engagement attribute range with respect to past electronic correspondences;
based on the experiment table data object, select a first experimental cadence from the plurality of experimental cadences correlating to a first user profile segment;
transmit a first plurality of electronic correspondences to a first client device associated with the first user profile segment according to the first experimental cadence;
receive feedback data from the first client device associated with the first plurality of electronic correspondences;
determine a plurality of content items associated with a second plurality of electronic correspondences, wherein the plurality of content items are associated with a plurality of content item class indicators;
select a content item class indicator from the plurality of content item class indicators, wherein the processor is configured to:
calculate cadence differences between class-specific target cadence indicators and class-specific actual cadence indicators associated with the plurality of content item class indicators;

select a second electronic correspondence from the second plurality of electronic correspondences, wherein the second electronic correspondence comprises at least one content item associated with the content item class indicator; and
in response to determining that the second electronic correspondence satisfies a class-specific cadence indicator criterion associated with the content item class indicator, transmit the second electronic correspondence to the first client device based on the feedback data.

2. The system of claim 1 , wherein the processor is configured to:
access the second plurality of electronic correspondences generated for the first client device;
wherein each of the class-specific target cadence indicators is indicative of a target rate for sending electronic correspondence associated with one of the plurality of content item class indicators to the first client device, wherein each of the class-specific actual cadence indicators is indicative of an actual rate that previous electronic correspondences associated with one of the plurality of content item class indicators were sent to the first client device.

3. The system of claim 2 , wherein, when determining the second electronic correspondence from the second plurality of electronic correspondences, the processor is further configured to:
determine a selected group of content items from the plurality of content items, wherein each content item in the selected group of content items is associated with the selected content item class indicator.

4. The system of claim 3 , wherein the processor is further configured to:
determine a selected communication channel through which to send the second electronic correspondence to the first client device; and
send the second electronic correspondence to the first client device through the selected communication channel.

5. The system of claim 4 , wherein the processor is configured to determine the selected communication channel based on a target time for sending the second electronic correspondence.

6. The system of claim 4 , wherein the processor is configured to:
determine the selected communication channel prior to selecting the second electronic correspondence; and
select the second electronic correspondence from the second plurality of electronic correspondences based on the selected communication channel.

7. The system of claim 1 , wherein the processor is further configured to:
determine a target time to send the second electronic correspondence to the first client device; and
send the second electronic correspondence to the first client device at the target time.

8. A computer-implemented method, comprising:
generating an experiment table data object comprising metadata defining correlations between a plurality of experimental cadences for transmitting electronic correspondences and a plurality of user profile segments, wherein each of the plurality of user profile segments is associated with an engagement attribute range with respect to past electronic correspondences;
based on the experiment table data object, selecting a first experimental cadence from the plurality of experimental cadences correlating to a first user profile segment;
transmitting a first plurality of electronic correspondences to a first client device associated with the first user profile segment according to the first experimental cadence;
receiving feedback data from the first client device associated with the first plurality of electronic correspondences;
determining a plurality of content items associated with a second plurality of electronic correspondences, wherein the plurality of content items are associated with a plurality of content item class indicators;
selecting a content item class indicator from the plurality of content item class indicators, comprising:
calculating cadence differences between class-specific target cadence indicators and class-specific actual cadence indicators associated with the plurality of content item class indicators;

selecting a second electronic correspondence from the second plurality of electronic correspondences, wherein the second electronic correspondence comprises at least one content item associated with the content item class indicator; and
in response to determining that the second electronic correspondence satisfies a class-specific cadence indicator criterion associated with the content item class indicator, transmitting the second electronic correspondence to the first client device based on the feedback data.

9. The computer-implemented method of claim 8 , further comprising:
accessing the second plurality of electronic correspondences generated for the first client device;
wherein each of the class-specific target cadence indicators is indicative of a target rate for sending electronic correspondence associated with one of the plurality of content item class indicators to the first client device, wherein each of the class-specific actual cadence indicators is indicative of an actual rate that previous electronic correspondences associated with one of the plurality of content item class indicators were sent to the first client device.

10. The computer-implemented method of claim 9 , wherein, when determining the second electronic correspondence from the second plurality of electronic correspondences, the computer-implemented method further comprises:
determining a selected group of content items from the plurality of content items, wherein each content item in the selected group of content items is associated with the selected content item class indicator.

11. The computer-implemented method of claim 10 , wherein the computer-implemented method further comprises:
determining a selected communication channel through which to send the second electronic correspondence to the first client device; and
sending the second electronic correspondence to the first client device through the selected communication channel.

12. The computer-implemented method of claim 11 , further comprising determining the selected

Assignees

• Groupon Inc

Inventors

• Aggarwal Amit
• Thacker David
• O'Brien Sean

Classifications

• G06Q30/0255

  based on user history · CPC title

• G06Q30/0271

  Personalized advertisement · CPC title

• G06Q30/0251 Primary

  Targeted advertisements · CPC title

• G06Q30/02

  Marketing; Price estimation or determination; Fundraising · CPC title

• G06Q30/0264

  based upon schedule · CPC title