Method for Delivery of Relevant Consumer Content Based on Consumer Journey Patterns

• US 20120130817A1
• Filed: 11/05/2011
• Published: 05/24/2012
• Est. Priority Date: 11/20/2010
• Status: Abandoned Application

• Current Assignee: Offerbeam, Corp.
• Original Assignee: Offerbeam, Corp.
• Inventors: Bousaleh, Robert, Mathew, Jason Paul
• Application Number:
  US13/290,072
• Publication Number:
  US 20120130817A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

A method providing highly relevant offers based on an individual'"'"'s historic journey patterns prior to a future journey in order to influence the individual'"'"'s behavior during a journey or when the individual departs from or arrives at predetermined headquarters or locations that are discerned using location-based and/or timing-based technologies. Other information can be used to discern and/or enhance the individual'"'"'s journey patterns. An individual'"'"'s journey pattern information includes location, route, timing, and/or duration information about one or more journey cycles by an individual, for example, two or more, three or more, four or more, or five or more journey cycles of the individual. A single journey cycle can include a time window at the same or similar time periods, for example, at the same or similar time in a day, at the same or similar time in a week, month, and/or year.

Claims

1. A method for delivering content to or generating content within an individual'"'"'s electronic device, comprising the steps of:

tracking more than one cycle of the individual'"'"'s journey behavior by an electronic device;

comparing one or more tracked cycles;

identifying, from the comparison of the more than one tracked cycle, a pattern in the individual'"'"'s journey behavior;

predicting the individual'"'"'s future journey behavior;

determining one or more offers or messages to make to the individual based on the predicted future journey behavior for the individual; and

presenting one or more offers or messages to the individual through the electronic device.

2. The method of claim 1, further comprising the step of

determining the individual'"'"'s location, route, timing, duration, or travel sequence as a component of the predicted individual future journey behavior.

3. The method of claim 1, wherein the more than one tracked cycle comprises a daily, day-to-day, weekly, monthly, or annual cycle.

4. The method of claim 1, wherein the delivery of one or more offers is by means of e-mail.

5. The method of claim 1, wherein the delivery of one or more offers is by means of text messaging.

6. The method of claim 1, wherein the delivery of one or more offers is by means of a phone call.

7. The method of claim 1, wherein the delivery of one or more offers is by means of any notification method including push notification and or internal device alerts to the phone, handheld, or mobile device.

8. A method for identifying when to deliver or generate offer beams, push notifications, internal device prompts, or other message alerts or content to an electronic devices, comprising the steps of:

capturing the electronic devices'"'"' GPS locations, core locations, cell tower triangulated locations, WiFi, GPS, or geo-fencing locations;

capturing and determining the possible locations where the delivery or generation of the offer beams or other content could occur, based on predefined locations or derived locations;

comparing one or more of the captured devices'"'"' locations to one or more of the possible delivery locations;

identifying, from the comparison of the captured devices'"'"' locations and possible delivery locations, whether the devices are within certain proximity to one or more of the possible delivery locations;

identifying, from durations of time the devices have spent within certain proximity to the possible delivery locations, whether the devices continue to remain within certain proximity to the delivery locations or have departed from a certain proximity to the delivery locations;

determining, from all the possible delivery locations, the identification of whether the devices continue to remain within or have departed from a certain proximity to the possible delivery locations;

determining which finale delivery location or locations will be where the delivery or generation of the offer beams or other content will occur;

determining the durations of time that should elapse between identifying the finale delivery locations and delivering or generating the offer beams or other content to the devices; and

delivering or generating one or more types or categories of offer beams or other content to the individuals'"'"' devices.

9. The method of claim 8, wherein, the identification of whether the devices continue to remain within or have departed from a certain proximity to the possible delivery locations depends on the delivery locations sizes, types or categories, proximity to one another, and distances from the devices.

10. The method of claim 8, wherein, the determination of the durations of time that should elapse between identifying the finale delivery locations and delivering or generating the offer beams or other content to the devices is based on the finale delivery locations'"'"' sizes, types or categories, distances from the devices and the travel directions of the devices, types or categories of offer beams or content, or other information associated with the finale delivery locations and devices.

11. The method of claim 8, further comprising the steps of:

pulling data from one or more of an individual'"'"'s mobile devices, the data comprising data selected from a group consisting of location, route, timing, duration, or travel sequence data;

storing the data into a database;

building, from the database, one or more historical journey patterns for the individual;

forecasting a trend from the one or more historical journey patterns; and

using the forecasted to deliver an offer or message to the individual prior to the individual arriving at a predetermined location or upon the individual'"'"'s arrival at a predetermined location or upon the individual'"'"'s departure from a predetermined location once the individual is within a detectable proximity to a predetermined location.

12. The method of claim 11, wherein the data includes data regarding retailers and zones traveled and visited by the individual.

13. The method of claim 11, wherein the data comprises day and time of day data and uses latitude and longitude location data from the mobile device, personal computers, or any smart or handheld devices.

14. The method of claim 13, wherein the data is derived from one or more of devices'"'"' core locations, cell tower triangulated location, WiFi, GPS, geo-fencing location, route-, timing-, duration-, and/or sequence-based information.

15. A system for delivering one or more offers or messages to an individual, the system comprising:

a database of historical journey pattern information about an individual'"'"'s recurring travel or shopping habits;

one or more rules for (i) predicting within, desired confidence levels, the individual'"'"'s journey and time of that journey, and (ii) selecting one or more offers for the individual; and

a signal transmitted to one of more of the individual'"'"'s devices that provides the one or more offers prior, during, or after the individual'"'"'s journey as an incentive for the individual to modify his or her journey or future journeys.

16. The system of claim 15, wherein the database includes historical latitude and longitude information about the individual'"'"'s journey.

17. The system of claim 15, wherein the rules comprise one or more rules selected from the group consisting of:

rules to qualify offers;

rules to rate or rank offers;

rules to sequence offers;

rules inputted by retailers;

rules inputted by individuals;

rules to generate trend data about an individual'"'"'s journeys;

rules to identify an individual'"'"'s daily, day-to-day, weekly, monthly or annual behavior; and

rules to predict optimum delivery, time, frequency, or location for presenting the offer or message to the individual; and

rules for forming a retailer'"'"'s campaign interests.

18. The system of claim 15, further comprising the steps of

analyzing an individual'"'"'s location data;

and

determining one or more individual headquarters based on duration and frequency of location data for one or more locations.

19. The system of claim 18, further comprising the steps for determining one or more individual headquarters:

determining the amount of time spent in a specific location by frequently capturing the electronic device'"'"'s core location, cell tower triangulated location, WiFi, GPS, or geo-fencing information;

establishing a primary weekday and a weekend HQ locations based on the amount of time spent in a specific location; and

establishing one or more alternative HQ locations by weekday or weekend.

20. The system of claim 15, wherein the pulled data frequency is adjusted based on the device'"'"'s battery life.