SYSTEM AND METHOD FOR PROVIDING OFFER ENGINEERING

• US 20140067553A1
• Filed: 08/30/2013
• Published: 03/06/2014
• Est. Priority Date: 08/30/2012
• Status: Abandoned Application

• Current Assignee: Jeffery David Green, J Robert Lieber
• Original Assignee: Jeffery David Green, J Robert Lieber
• Inventors: Green, Jeffery David, Lieber, J Robert
• Application Number:
  US14/014,521
• Publication Number:
  US 20140067553A1
• Time in Patent Office: Days
• US Class Current: 705/14.72
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0276 Advertisement creation

Abstract

The present invention generally relates to system and methods for providing improved marketing. Specifically, this invention relates to a system and method for evaluating and/or constructing and/or improving promotional offers for businesses of all sizes based on one or more criteria provided by the system, the user or any combination thereof.

Claims

1. A computer implemented system for providing offer engineering, the system comprising:

an offer analysis and decision module, comprising computer-executable code stored in non-volatile memory,

a variable module, comprising computer-executable code stored in non-volatile memory,

a processor, and

a communications means,

wherein said offer analysis and decision module, said variable module, said processor, and said communications means are operably connected and are configured to;

receive a selection of one or more priorities from a client, wherein said one or more priorities are related to a promotional offer;

provide the client with objective setting prioritization guidelines based on one or more variables associated with the promotional offer;

refine said selection of one or more priorities based on input from said client;

provide options to the client regarding the selection of a target audience for the promotional offer;

receive selection of the target audience from the client;

dissect the promotional offer into a hierarchy of variables;

analyze said hierarchy of variables;

generate a score report based on said hierarchy of variables;

generate offer decision advice, wherein said offer decision advice is based at least in part on said score report; and

provide said offer decision advice to said client.

2. The system of claim 1, wherein the variables associated with the promotional offer are selected from the group comprising:

market place dynamics, client category, client business, breadth of appeal, frequency of purchase, competitive offer activity, client brand, strength versus competition, offer mechanics, offer type, offer classification, offer vehicle, offer purchase channels, promotion overlays, offer value, offer denomination, offer value versus category advantage, price before offer, offer value vs. category average, offer timing, offer duration, offer start date, offer end date, offer expiration date, offer history, offer redemption difficulty, offer redemption terms, offer eligibility, offer complexity, offer purchase requirements, offer delivery media, media company, offer distribution media, offer reach, offer circulation, estimated redemption date, size of the offer creative unit, other offer support, offer creative, offer linguistics, offer appeal, offer clarity, offer framing, offer urgency, length of subject line, match season, novelty subject line, curiosity subject line, quality of pre-header, clarity of value in offer, offer copy, copy passiveness, copy readability, copy understandability, copy intensity, copy sentiment, copy emotionality, offer execution, offer compellingness, offer impact, large visuals, lifestyle visual, in-situ visual, enjoyment visual, calls to action, offer costs, offer distribution, offer media costs, offer production cost, offer redemption, offer processing fee, cost per offer redeemed, media company fee, offer support, other media cost, additional costs, offer return on investment (ROI), financial information, cost of goods sold, sales/order redeemed, estimated ROI.

3. The system of claim 1, wherein said offer analysis and decision module, said variable module, said processor, and said communications means are further configured to generate an offer construction tool.

4. The system of claim 3, wherein said offer construction tool is configured to automatically update and provide analysis with respect to the promotional offer.

5. The system of claim 4, wherein the analysis provided by said offer section tool is updated based at least in part on said variables.

6. The system of claim 4, wherein the analysis provided by said offer section tool is updated based at least in part on information received from the client.

7. A web-based system for providing offer engineering, the system comprising:

an offer analysis and decision module, comprising computer-executable code stored in non-volatile memory,

a variable module, comprising computer-executable code stored in non-volatile memory,

a processor, and

a communications means,

wherein said offer analysis and decision module, said variable module, said processor, and said communications means are operably connected and are configured to;

receive a selection of one or more priorities from a client, wherein said one or more priorities are related to a promotional offer;

provide the client with objective setting prioritization guidelines based on one or more variables associated with the promotional offer;

refine said selection of one or more priorities based on input from said client;

provide options to the client regarding the selection of a target audience for the promotional offer;

receive selection of the target audience from the client;

dissect the promotional offer into a hierarchy of variables;

analyze said hierarchy of variables;

generate a score report based on said hierarchy of variables;

generate offer decision advice, wherein said offer decision advice is based at least in part on said score report; and

provide said offer decision advice to said client.

8. The system of claim 7, wherein the variables associated with the promotional offer are selected from the group comprising:

market place dynamics, client category, client business, breadth of appeal, frequency of purchase, competitive offer activity, client brand, strength versus competition, offer mechanics, offer type, offer classification, offer vehicle, offer purchase channels, promotion overlays, offer value, offer denomination, offer value versus category advantage, price before offer, offer value vs. category average, offer timing, offer duration, offer start date, offer end date, offer expiration date, offer history, offer redemption difficulty, offer redemption terms, offer eligibility, offer complexity, offer purchase requirements, offer delivery media, media company, offer distribution media, offer reach, offer circulation, estimated redemption date, size of the offer creative unit, other offer support, offer creative, offer linguistics, offer appeal, offer clarity, offer framing, offer urgency, length of subject line, match season, novelty subject line, curiosity subject line, quality of pre-header, clarity of value in offer, offer copy, copy passiveness, copy readability, copy understandability, copy intensity, copy sentiment, copy emotionality, offer execution, offer compellingness, offer impact, large visuals, lifestyle visual, in-situ visual, enjoyment visual, calls to action, offer costs, offer distribution, offer media costs, offer production cost, offer redemption, offer processing fee, cost per offer redeemed, media company fee, offer support, other media cost, additional costs, offer return on investment (ROI), financial information, cost of goods sold, sales/order redeemed, estimated ROI.

9. The system of claim 7, wherein said offer analysis and decision module, said variable module, said processor, and said communications means are further configured to generate an offer construction tool.

10. The system of claim 9, wherein said offer construction tool is configured to automatically update and provide analysis with respect to the promotional offer.

11. The system of claim 10, wherein the analysis provided by said offer section tool is updated based at least in part on said variables.

12. The system of claim 10, wherein the analysis provided by said offer section tool is updated based at least in part on information received from the client.

13. A computer implemented method for providing offer engineering, the method comprising the steps of:

receiving a selection of one or more priorities from a client, wherein said one or more priorities are related to a promotional offer;

providing the client with objective setting prioritization guidelines based on one or more variables associated with the promotional offer;

refining said selection of one or more priorities based on input from said client;

providing options to the client regarding the selection of a target audience for the promotional offer;

receiving selection of the target audience from the client;

dissecting the promotional offer into a hierarchy of variables;

analyzing said hierarchy of variables;

generating a score report based on said hierarchy of variables;

generating offer decision advice, wherein said offer decision advice is based at least in part on said score report; and

providing said offer decision advice to said client.

14. The method of claim 13, wherein the variables associated with the promotional offer are selected from the group comprising:

market place dynamics, client category, client business, breadth of appeal, frequency of purchase, competitive offer activity, client brand, strength versus competition, offer mechanics, offer type, offer classification, offer vehicle, offer purchase channels, promotion overlays, offer value, offer denomination, offer value versus category advantage, price before offer, offer value vs. category average, offer timing, offer duration, offer start date, offer end date, offer expiration date, offer history, offer redemption difficulty, offer redemption terms, offer eligibility, offer complexity, offer purchase requirements, offer delivery media, media company, offer distribution media, offer reach, offer circulation, estimated redemption date, size of the offer creative unit, other offer support, offer creative, offer linguistics, offer appeal, offer clarity, offer framing, offer urgency, length of subject line, match season, novelty subject line, curiosity subject line, quality of pre-header, clarity of value in offer, offer copy, copy passiveness, copy readability, copy understandability, copy intensity, copy sentiment, copy emotionality, offer execution, offer compellingness, offer impact, large visuals, lifestyle visual, in-situ visual, enjoyment visual, calls to action, offer costs, offer distribution, offer media costs, offer production cost, offer redemption, offer processing fee, cost per offer redeemed, media company fee, offer support, other media cost, additional costs, offer return on investment (ROI), financial information, cost of goods sold, sales/order redeemed, estimated ROI.

15. The method of claim 13, wherein said offer analysis and decision module, said variable module, said processor, and said communications means are further configured to generate an offer construction tool.

16. The method of claim 15, wherein said offer construction tool is configured to automatically update and provide analysis with respect to the promotional offer.

17. The method of claim 16, wherein the analysis provided by said offer section tool is updated based at least in part on said variables.

18. The method of claim 16, wherein the analysis provided by said offer section tool is updated based at least in part on information received from the client.