Systems and methods for facilitating customer acquisition by businesses

• US 8,489,450 B2
• Filed: 03/26/2011
• Issued: 07/16/2013
• Est. Priority Date: 03/26/2011
• Status: Active Grant

• Current Assignee: RS Software, Inc.
• Original Assignee: RS Software, Inc.
• Inventors: Agarwal, Shwetav
• Primary Examiner(s): Boveja, Namrata (Pinky)
• Assistant Examiner(s): Nguyen, Thuy N
• Application Number:
  US13/072,678
• Publication Number:
  US 20120245990A1
• Time in Patent Office: 843 Days
• Field of Search: 705/14
• US Class Current: 705/14.1
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Systems and methods are disclosed for facilitating acquisition of customers for merchants through targeted offers to prospective customers; improving the precision of targeting by Prospect Profiling and Intent Prediction. In certain embodiments, the system supports monetizing sources of data which contribute to Prospect Profiling and Intent Prediction, such as purchase history, third-party SNP data. In other embodiments, a “Customer acquisition fee” serves as the underlying business model for the Service Provider of the Platform. The system provides cost-effective marketing where merchants pay only after conversion of prospect to customer. Customers get higher savings through Opportunity Auctioning amongst merchants with the value of Discount offer as part of Bid.

Claims

1. A method to acquire customers for merchants using a mobile application or a browser interface of a prospective buyer, comprising:

capturing attributes from the prospective buyer;

creating a prospect profile for a user based on data including purchase history, social networking data, location data from location-sharing services, and search history;

performing predictive analysis to extrapolate the prospect profile to include geo-location and timing associated with the geo-location;

creating an intent prediction for the prospect profile from historical purchase or payment data, coupon redemption data, geo-location of the user, interest categories, time-stamp, contextual information including check-ins in the last one-hour, and data from social networking platforms;

precisely targeting the prospective buyer by using the prospect profile and intent prediction;

generating an offer by a processor with an action selected from the group consisting of;

a mobile application request, a geo-fence, a near field communication (NFC) check-in, a location-sharing service check-in, and a user pull request;

locating candidate merchants and filtering candidate merchants using the intent prediction for the prospective buyer;

initiating opportunity auctioning within the candidate merchants for an opportunity to send an offer to the prospect;

applying rules to specify a time range, a prospect discount offer percentage, and customer acquisition fee percentage;

validating the rules by validation engine;

identifying a winning merchant with a winning bid having a predetermined combination of an Acquisition Fee Offer for a Platform Service Provider and a Prospect Discount Offer;

generating a coupon with the Prospect Discount Offer using the processor for the user on behalf of the winning merchant;

dispensing an advertisement or coupon to the mobile application or the browser interface;

providing monetary benefit to the buyer with the coupon;

acquiring new customers for the winning merchant with the Acquisition Fee Offer; and

sharing revenue with the winning merchant.

2. The method of claim 1, comprising determining an affinity score indicative of a probability that the prospective buyer will visit a merchant.

3. The method of claim 1, comprising storing merchant identifier, branch location, geo-location, and category code.

4. The method of claim 1, comprising automatically bidding on behalf of merchants using one or more predefined rules.

5. The method of claim 4, wherein the rules specify one or more of:

time range, affinity score range, potential revenue range, prospect discount offer-upper bound, lower bound and step up value, customer acquisition fee offer-upper bound, lower bound and step up value.

6. The method of claim 4, comprising validating the rules.

7. The method of claim 1, comprising bidding in real-time on behalf of a merchant.

8. The method of claim 1, comprising generating a coupon for the prospective buyer.

9. The method of claim 8, comprising dispensing the coupon.

10. The method of claim 1, comprising generating a bar-coded advertisement or a bar-coded coupon for the prospective buyer.

11. An advertisement system to acquire customers with a mobile device or a browser interface, comprising:

a mobile device, including computer readable code and

a server coupled to the mobile device, the server including computer readable code for

capturing attributes from a prospective buyer;

creating a prospect profile for a user based on data including purchase history, social networking data, location data from location-sharing services, and search history;

performing predictive analysis to extrapolate the prospect profile to include geo-location and timing associated with the geo-location;

creating an intent prediction for the prospect profile from historical purchase or payment data, coupon redemption data, geo-location of the user, interest categories, time-stamp, contextual information including check-ins in the last one-hour, and data from social networking platforms;

precisely targeting the prospective buyer by using the prospect profile and intent prediction;

generating an offer by a processor with an action selected from the group consisting of;

a mobile application request, a geo-fence, a near field communication (NFC) check-in, a location-sharing service check-in, and a user pull request;

locating candidate merchants and filtering candidate merchants using the intent prediction for the prospective buyer;

initiating opportunity auctioning within the candidate merchants for an opportunity to send an offer to the prospect;

applying rules to specify a time range, a prospect discount offer percentage, and customer acquisition fee percentage;

validating the rules by validation engine;

identifying a winning merchant with a winning bid having a predetermined combination of an Acquisition Fee Offer for a Platform Service Provider and a Prospect Discount Offer;

generating a coupon with the Prospect Discount Offer using the processor for the user on behalf of the winning merchant;

dispensing an advertisement or coupon to the mobile application or the browser interface;

providing monetary benefit to the buyer with the coupon;

acquiring new customers for the winning merchant with the Acquisition Fee Offer; and

sharing revenue with the winning merchant.

12. The system of claim 11, comprising computer readable code for determining an affinity score indicative of a probability that the prospective buyer will visit a merchant.

13. The system of claim 11, comprising computer readable code for storing merchant identifier, branch location, geo-location, and category code.

14. The system of claim 11, comprising computer readable code for automatically bidding on behalf of merchants using one or more predefined rules.

15. The system of claim 14, wherein the rules specify one or more of:

time range, affinity score range, potential revenue range, prospect discount range, customer acquisition cost range.

16. The system of claim 14, comprising computer readable code for automatically validating the rules.

17. The system of claim 11, comprising computer readable code for bidding in real-time on behalf of a merchant.

18. The system of claim 11, comprising computer readable code for generating a bar coded coupon for the prospective buyer.

19. The system of claim 18, comprising computer readable code for dispensing the coupon.

20. An advertisement system to acquire customers with a mobile device or a browser interface, comprising:

mobile device, including computer readable code for capturing attributes from a prospective buyer; and

a server coupled to the mobile device, the server including;

computer readable code for creating a prospect profile using customer data from a plurality of sources, for generating an intent prediction for the prospect profile from historical purchase or payment data, coupon redemption data, geo-location of a user, interest categories, time-stamp, contextual information including check-ins in the last one-hour, and data from social networking platforms, for triggering an offer generation from an action selected from the group consisting of;

a mobile application request, a geo-fence, a near field communication (NFC) check-in, a location-sharing service check-in, a user pull request;

for locating nearby merchants and filtering merchants with the intent prediction for the prospective buyer, for initiating opportunity auction within merchants for sending offer to prospective buyer, for identifying a winning merchant, for generating coupon for the offer in the database and for dispensing the coupon for the winning merchant to the mobile device or the browser-interface;

computer readable code for performing automated bidding for a customer acquisition opportunity in accordance with a rules database set up by a merchant, wherein the code identifies if a customer matches a predetermined affinity score, potential revenue, timestamp, and geo-location values;

computer readable code for automatically generate bids for each candidate merchant based on predefined rules, wherein a winning bid has a predetermined combination of an Acquisition Fee Offer for a Platform Service Provider and a Prospect Discount Offer;

computer readable code for creating a coupon generated from the merchant including adding the Prospect Discount Offer to a predefined graphical element which is a digital representation of the Merchant Offer; and

computer readable code for dispensing the coupon.