METHOD AND APPARATUS FOR PERSONALIZED MARKETING
The system provides personalized marketing combined with the satisfaction of gamified applications and playing games, which provides a unique offer presentation entertainment solution with the computer implemented capacity to personalize offers. The system includes a learning module that collects data and behavioral information from each user and customizes advertising, offers, and even application utility/play for the user. Over time, the system provides interaction with the user that provides consumer opportunities that are more likely to be accepted by the user.
1 . A method of delivering an offer to a user comprising:
Using a processing system,
Providing an entertainment to the user;
Retrieving a personalization profile of the user;
Using the personalization profile to identify at least one offer that is optimized for the personalization profile;
Presenting the offer to the user in connection with the entertainment.
2 . The method of claim 1 wherein the entertainment is a computer game.
3 . The method of claim 1 wherein the entertainment is an application.
4 . The method of claim 1 wherein the entertainment is digital media content.
5 . The method of claim 1 wherein the entertainment is provided via a browser.
6 . The method of claim 1 wherein the entertainment is provided via an application.
7 . The method of claim 1 wherein the entertainment is provided via a game console.
8 . The method of claim 1 wherein the offer is an advertisement.
9 . The method of claim 1 wherein the offer is a deal.
10 . The method of claim 1 wherein the offer is a promotional item.
11 . The method of claim 1 wherein the entertainment is in the physical world.
12 . The method of claim 11 wherein the entertainment is a casino style game.
13 . The method of claim 1 wherein the personalization profile includes geo-location information.
14 . The method of claim 1 wherein the personalization profile includes information provided by the user
15 . The method of claim 1 wherein the personalization profile includes social media data of the user.
16 . The method of claim 1 wherein the personalization profile includes historical data of the user interacting with the processing system.
17 . The method of claim 16 wherein the historical data includes risk preferences of the user.
18 . The method of claim 16 wherein the historical data includes the user's propensity to share offers with others.
19 . The method of claim 1 wherein the personalization profile includes data from a device used by the user.
20 . The method of claim 19 wherein the device comprises computerized smart glasses.
21 . The method of claim 19 wherein the device comprises a computerized smart vehicle
22 . The method of claim 19 wherein the device comprises smart utensils.
23 . The method of claim 19 wherein the device comprises a mobile device.
24 . The method of claim 1 wherein the offer is presented in response to an event in the entertainment.
25 . The method of claim 24 wherein the event is an achievement.
26 . The method of claim 1 wherein parameters of the offer are conditional on user interaction with the entertainment.
27 . The method of claim 1 further including inserting product placement in the entertainment.
28 . The method of claim 27 wherein the product placement to be inserted is based on the personalization profile of the user.
29 . The method of claim 1 wherein presenting the offer is conditional on an automated verification of offer validity.
30 . A method of generating an offer comprising:
In a processing system;
Receiving demographic target data from an advertiser;
Comparing the demographic target data with historical data associated with the demographic target data;
Identifying the most successful offers from the historical data associated with the demographic target data;
Presenting the most successful offers to the advertiser.
31 . The method of claim 30 wherein the historical data includes the type of offer presented.
32 . The method of claim 30 wherein the demographic target data includes at least one of gender, geographic location, age range, and risk preference.
33 . The method of claim 30 further including generating a plurality of offers that are presented to the user pursuant to a dynamic sorting process.
34 . The method of claim 33 wherein the dynamic sorting process is such that the same offer is not presented within the same session to the same user.
35 . The method of claim 30 wherein the historical data includes positive correlation between categories and offers accepted by the user.