Systems and Techniques for Targeting Electronic Communication Based On Frequency of Product Exposure

Patent metadata

Field	Value
Publication number	US-2017270563-A1
Application number	US-201615070869-A
Country	US
Kind code	A1
Filing date	Mar 15, 2016
Priority date	Mar 15, 2016
Publication date	Sep 21, 2017
Grant date	—

Abstract

Computer-implemented systems and methods disclosed herein disclose features for determining the frequency of exposure to real-world products embedded with Internet-Of-Things (IoT) hardware and determining a comprehensive targeting profile identifying the interests of users based on their exposure to real-world products. A computing device carried by a user wirelessly receives product exposure data from a nearby IoT-enabled device upon entering within a certain proximity of the IoT-enabled device. The computing device further compiles the product exposure data with previous product exposure data for IoT-enabled devices to which the computing device was previously exposed. Based on the compiled product exposure data, a server device determines a frequency of exposure to a product corresponding to the IoT-enabled device over a period of time. The server device further transmits an electronic communication promoting the product corresponding to the IoT-enabled device if the frequency of exposure increases over a threshold value.

First claim

1 . A computer-implemented method for receiving a targeted communication on a computing device based on exposure to nearby IoT-enabled devices, the method comprising:
in response to the computing device entering within a wireless proximity of an IoT-enabled device, wirelessly receiving communications from the IoT-enabled device, the communications including at least a sensor identifier identifying the IoT-enabled device; determining product exposure data from the received communications, the product exposure data comprising the sensor identifier and duration information indicating an amount of time in which the IoT-enabled device was within the wireless proximity of the computing device; transmitting the product exposure data to a server device, wherein the product exposure data is compiled with previous product exposure data for a plurality of IoT-enabled devices to which the computing device was previously exposed to determine a frequency of exposure to a product corresponding to the IoT-enabled device over a period of time; and receiving, from the server device, an electronic communication targeted for a user of the computing device, wherein the electronic communication comprises content promoting the product corresponding to the IoT-enabled device, and wherein the electronic communication is received once the frequency of exposure to the product corresponding to the IoT-enabled device increases over a threshold value.

2 . The computer-implemented method of claim 1 , wherein the product exposure data is used to develop a comprehensive targeting profile for the user of the computing device, the comprehensive targeting profile indicates one or more interests of the user, and wherein the received electronic communication is tailored according to the one or more interests indicated in the comprehensive targeting profile.

3 . The computer-implemented method of claim 1 , wherein the electronic communication is received only if the IoT-enabled device satisfies a threshold condition.

4 . The computer-implemented method of claim 3 , wherein the threshold condition includes whether the IoT-enabled device has been purchased a minimum number of times within a geographic area of the user.

5 . The computer-implemented method of claim 3 , wherein the threshold condition includes whether the content promoting the IoT-enabled device has already been received by the computing device.

6 . The computer-implemented method of claim 3 , wherein the threshold condition includes whether the IoT-enabled device is on sale within a geographic location of the user.

7 . The computer-implemented method of claim 1 , wherein the threshold value is based on a product category for the IoT-enabled device, wherein the threshold value is different for a first product category compared to a second product category.

8 . A computer-implemented method for transmitting a targeted communication to a computing device based on a frequency of exposure of IoT-enabled devices near the computing device over a period of time, the method comprising:
receiving product exposure data from the computing device, the product exposure data comprising a sensor identifier identifying an IoT-enabled device that entered within a wireless proximity of the computing device and further comprising duration information indicating an amount of time in which the IoT-enabled device was within wireless proximity of the computing device; compiling the product exposure data with previous product exposure data for a plurality of IoT-enabled devices to which the computing device was previously exposed, the product exposure data and the previous product exposure data compiled into compiled product exposure data; determining, based on the compiled product exposure data, a frequency of exposure to a product corresponding to the IoT-enabled device over the period of time; and transmitting an electronic communication comprising content promoting the product corresponding to the IoT-enabled device to the computing device in response to determining that the frequency of exposure to the product corresponding to the IoT-enabled device is greater than a threshold value.

9 . The computer-implemented method of claim 8 , wherein determining the frequency of exposure to the product corresponding to the IoT-enabled device over the period of time comprises determining a number of entries of the compiled product exposure data collected during the period of time that include sensor identifiers corresponding to the IoT-enabled device.

10 . The computer-implemented method of claim 8 , further comprising:
determining a comprehensive targeting profile for a user of the computing device, the comprehensive targeting profile indicating one or more interests of the user according to at least the compiled product exposure data, and wherein the electronic communication is tailored to the one or more interests indicated in the comprehensive targeting profile.

11 . The computer-implemented method of claim 8 , wherein the electronic communication is transmitted only if the IoT-enabled device satisfies a threshold condition.

12 . The computer-implemented method of claim 11 , wherein the threshold condition includes whether the IoT-enabled device has been purchased a minimum number of times within a geographic area of the user.

13 . The computer-implemented method of claim 11 , wherein the threshold condition includes whether content promoting the IoT-enabled device has already been transmitted to the computing device.

14 . The computer-implemented method of claim 11 , wherein the threshold condition includes whether the IoT-enabled device is on sale within a geographic location of the user.

15 . The computer-implemented method of claim 8 , wherein the threshold value is based on a product category the IoT-enabled device, wherein the threshold value is different for a first product category compared to a second product category.

16 . A system for transmitting a targeted communication to a computing device based on a frequency of exposure of IoT-enabled devices near the computing device over a period of time, the system comprising:
a processor; and a memory communicatively coupled to the processor, wherein the processor is configured to execute instructions included in the memory device to perform operations comprising:
receiving product exposure data from the computing device, the product exposure data comprising a sensor identifier identifying an IoT-enabled device that entered within a wireless proximity of the computing device and further comprising duration information indicating an amount of time in which the IoT-enabled device was within proximity of the computing device;
compiling the product exposure data with previous product exposure data for a plurality of IoT-enabled devices to which the computing device was previously exposed, the product exposure data and the previous product exposure data compiled into compiled product exposure data;
determining, based on the compiled product exposure data, a frequency of exposure to a product corresponding to the IoT-enabled device over the period of time; and
transmitting an electronic communication comprising content promoting the IoT-enabled device to the computing device in response to determining that the frequency of exposure to the product corresponding to the IoT-enabled device is greater than a threshold value.

17 . The system of claim 16 , wherein determining the frequency of exposure to the product corresponding to the IoT-enabled device over the period of time comprises determining a number of entr

Assignees

• Adobe Systems Inc

Inventors

• Soni Sachin
• Smith Kevin
• Duggal Ashish
• Dhawan Anmol

Classifications

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04L67/02

  based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

• G06Q30/0259

  based on store location · CPC title

• G06Q30/0251

  Targeted advertisements · CPC title

• G06Q30/0255 Primary

  based on user history · CPC title