APPARATUSES, METHODS AND SYSTEMS FOR MEASURING, AND FOLLOWING UP ON USER PREFERENCES AMONG OFFER TYPES AND RESPONSE OPTIONS IN A MARKETING CAMPAIGN

• US 20140122220A1
• Filed: 09/03/2013
• Published: 05/01/2014
• Est. Priority Date: 08/31/2012
• Status: Abandoned Application

• Current Assignee: Augme Technologies Incorporated (Upland Software, Inc.)
• Original Assignee: Augme Technologies Incorporated (Upland Software, Inc.)
• Inventors: BRADLEY, Nathaniel T., CRAWFORD, Jim G., PAUGH, Joshua S., BENDER, Douglas F.
• Application Number:
  US14/016,307
• Publication Number:
  US 20140122220A1
• Time in Patent Office: Days
• US Class Current: 705/14.42
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0267 Wireless devices

Abstract

Apparatuses, methods and systems for sharing content among users of an information acquisition system. A processor operating on a server accumulates interest activity information and user situational information provided by a mobile device. The interest activity information comprises user identifying information. A dynamic portion of a user profile associated with the user identifying information is updated with the accumulated user activity information and the accumulated user situational information. A first rule is applied to the user profile to select information from an information database. The user profile comprises a quasi-static portion and the updated dynamic portion. A second rule is applied to the selected content to identify the selected information as shared content or as private content in the user profile. A reply message is generated using the selected information and sent to the mobile device.

Claims

1. A processor-implemented method for conducting a marketing campaign, the method comprising:

applying via a processor a first marketing campaign rule to a user profile of a participant in a marketing campaign to select marketing information comprising at least one offer type and at least one response option from an information database, wherein the user profile comprises a quasi-static portion and a dynamic portion;

generating via the processor a first targeted message comprising the selected marketing information;

sending via the processor the first targeted message to a mobile device associated with the user profile;

receiving via the processor first response data indicative of a first action taken by the mobile device in response to the first targeted message; and

updating by the processor the dynamic portion of the user profile with the first response data, wherein the updated dynamic portion of the user profile comprises a user preference among offer types and response options.

2. The processor-implemented method of claim 1, wherein the at least one offer type is selected from the group consisting of a sale offer, a coupon, a selectable code presentation, and a link to a web store.

3. The processor-implemented method of claim 1, wherein the at least one offer response option is selected from the group consisting of a selectable code, a scannable code, a link, a drop down menu, an SMS message, and a fellable form.

4. The processor-implemented method of claim 1, wherein the first marketing campaign rule comprises selection criteria.

5. The processor-implemented method of claim 1, wherein the first action taken by the mobile device in response to the first targeted message is selected from the group consisting of accessing the first targeted message, accessing a link included in the first targeted message, purchasing a product identified in the first targeted message, and responding to a query included in the first targeted message.

6. The processor-implemented method of claim 1 further comprising:

applying via the processor a second marketing campaign rule to the user profile to select remarketing information wherein the user profile comprises a quasi-static portion and the updated dynamic portion and wherein the selected remarketing information reflects the user preference among offer types and response options;

generating via the processor a second targeted message using the selected remarketing information;

sending via the processor the second targeted message to the mobile device;

receiving via the processor second response data indicative of a second action taken by the mobile device in response to the second targeted message; and

determining via the processor the effectiveness of the second targeted message relative to the first targeted message using the first and second response data.

7. The processor-implemented method of claim 6, wherein the second marketing campaign rule comprises selection criteria selected from the group consisting of a time of day, a season, a weather condition, and a geographic location.

8. The processor-implemented method of claim 6, wherein the second action taken by the mobile device in response to the second targeted message is selected from the group consisting of accessing the second targeted message, accessing a link included in the second targeted message, purchasing a product identified in the second targeted message, and responding to a query included in the second targeted message.

9. The processor-implemented method of claim 6, wherein determining via the processor the effectiveness of the second targeted message relative to the first targeted message using the first and second response data comprises:

obtaining a first measure of interest for each offer type and for each response option included in the first targeted message;

obtaining a second measure of interest for each offer type and for each response option included in the second targeted message;

comparing the first measure and the second measures of interest for each offer type and for each response option included; and

selecting a most effective offer type and a most effective response option based on the first and second measures.

10. The processor-implemented method of claim 9, wherein the first and second measures of interest are selected from the group consisting of an amount of time between the sending of the second targeted message and a first action of the mobile device, an amount of time spent reviewing the second targeted message, a number of links accessed by the mobile device, a subject of an accessed link, a subject of a link not accessed, a quantity of a product purchased, a cost of a product purchased, and a response to a query.

11. The processor-implemented method of claim 1 further comprising:

obtaining by the processor third response data pertaining to a marketing campaign of a competitor;

determining from the third response data a most effective offer type among offer types and a most effective response type among response options;

applying via the processor a third marketing campaign rule to the user profile to select additional remarketing information using the most effective offer type and most effective response type;

generating via the processor a third targeted message using the additional selected remarketing information; and

sending via the processor the third targeted message to the mobile device.

12. The processor-implemented method of claim 1, wherein the method further comprises applying via the processor a selection rule to a population of users of mobile devices to select participants in the marketing campaign.

13. The processor-implemented method of claim 1, wherein the method further comprises:

receiving via the processor a request from a user of a mobile device to participate in a marketing campaign;

applying via the processor a selection rule to the user profile of the requesting user; and

selecting via the processor the requesting user for participation in the marketing campaign when the requesting user qualifies as a participating user according to the selection rule.

14. The processor-implemented method of claim 4, wherein the selection criteria are selected from the group consisting of a time of day, a season, a weather condition, and a geographic location.