# US 2014/0278799 A1 · Automated identification of marketing opportunities based on stored marketing data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0278799 A1 - Document ID: US20140278799A1 - Status: Published application - Kind: A1 - Application number: 14/214,589 - Filed: 2014-03-14 - Published: 2014-09-18 - Earliest claimed: 2013-03-14 - Assignees: Bookigee, Inc. - Applicants: Bookigee, Inc. - Inventors: Kristen McLean - Web page: https://patentgrep.com/patent/US20140278799A1 ## CPC - G06Q 30/0204: Market segmentation - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract A computer system for identifying one or more marketing opportunities for a target product, based on stored marketing data, comprises a processing unit programmed for defining a target product having one or more characteristics, defining at least one existing comparable product that matches one or more characteristics of the target product, reading social media data and sales data for the target and comparable products, calculating one or more marketing opportunities for the target product based on the data that was read, ranking the one or more marketing opportunities for the target product based on the stored marketing data, which comprises consumer behavior data, such that a ranking score is generated for each marketing opportunity, and displaying the one or more marketing opportunities and the corresponding rankings scores for each marketing opportunity. ## Claims ### Claim 1 A computer system for identifying one or more marketing opportunities for a target product, based on stored marketing data, wherein the computer system comprises: a network connection device communicatively coupled with a communications network; a memory storage for storing data; and a processing unit coupled to the memory storage and the network connection device, wherein the processing unit is programmed for: defining a target product having one or more characteristics; defining at least one existing comparable product that matches one or more characteristics of the target product; reading, via the communications network, social media data and sales data for the target product; reading, via the communications network, social media data and sales data for the comparable product; calculating one or more marketing opportunities for the target product based on the data that was read; ranking the one or more marketing opportunities for the target product based on the stored marketing data, which comprises consumer behavior data, such that a ranking score is generated for each marketing opportunity; and displaying, via the communications network, the one or more marketing opportunities and the corresponding ranking scores for each marketing opportunity. ### Claim 2 (depends on 1) The server of claim 1, wherein the target product comprises a printed book or an electronic book. ### Claim 3 (depends on 2) The server of claim 2, wherein the comparable product matches one or more of the following characteristics of the target product: genre, subject, category, author, region, publisher, group, and prize. ### Claim 4 (depends on 3) The server of claim 3, wherein social media data comprises one or more of: number of friends or followers of a product profile, number of social media updates from the product profile, and number of social media endorsements of the product profile. ### Claim 5 (depends on 4) The server of claim 4, wherein social media data may be partitioned according to time, geographic region, density and virality. ### Claim 6 (depends on 5) The server of claim 5, wherein sales data comprises one or more of number of sales of a product and library circulation data of the product. ### Claim 7 (depends on 6) The server of claim 6, wherein sales data may be partitioned according to outlet, time, and geographic region. ### Claim 8 (depends on 7) The server of claim 7, wherein the step of calculating one or more marketing opportunities for the target product based on the data that was read further comprises: calculating one or more marketing opportunities for the target product by identifying those marketing aspects of the comparable product which resulted in sales of the comparable product, but which marketing aspects are not being implemented by the target product. ### Claim 9 (depends on 8) The server of claim 8, wherein the step of ranking the one or more marketing opportunities for the target product further comprises: ranking the one or more marketing opportunities based on one or more of the following aspects: a percent of the target product's existing audience in each marketing opportunity, a geographic distance of each marketing opportunity from a hometown of an author of the target product, and density, virality, and influence of each geographic location relative to a genre of the target product. ### Claim 10 (depends on 1) The server of claim 1, wherein the step of displaying the marketing opportunities and the corresponding rankings further comprises displaying a geographic map of weighted circles that correspond to the ranking scores. ### Claim 11 (depends on 1) The server of claim 1, wherein the step of displaying the marketing opportunities and the corresponding rankings further comprises displaying a ranked text list. ### Claim 12 A computer-readable storage medium storing executable instructions, which, when executed by a computing device, cause the computing device to perform a method for identifying one or more marketing opportunities for a target product, based on stored marketing data, the method comprising: defining a target product having one or more characteristics; defining at least one existing comparable product that matches one or more characteristics of the target product; reading, via the communications network, social media data and sales data for the target product; reading, via the communications network, social media data and sales data for the comparable product; calculating one or more marketing opportunities for the target product based on the data that was read; ranking the one or more marketing opportunities for the target product based on the stored marketing data, which comprises consumer behavior data, such that a ranking score is generated for each marketing opportunity; and displaying, via the communications network, the one or more marketing opportunities and the corresponding ranking scores for each marketing opportunity. ### Claim 13 (depends on 12) The computer-readable storage medium of claim 12, wherein the target product comprises a printed book or an electronic book. ### Claim 14 (depends on 13) The computer-readable storage medium of claim 13, wherein the comparable product matches one or more of the following characteristics of the target product: genre, subject, category, author, region, publisher, group, and prize. ### Claim 15 (depends on 14) The computer-readable storage medium of claim 14, wherein the step of calculating one or more marketing opportunities for the target product based on the data that was read further comprises: calculating one or more marketing opportunities for the target product by identifying those marketing aspects of the comparable product which resulted in sales of the comparable product, but which marketing aspects are not being implemented by the target product. ### Claim 16 (depends on 15) The computer-readable storage medium of claim 15, wherein the step of ranking the one or more marketing opportunities for the target product further comprises: ranking the one or more marketing opportunities based on one or more of the following aspects: a percent of the target product's existing audience in each marketing opportunity, a geographic distance of each marketing opportunity from a hometown of an author of the target product, and density, virality, and influence of each geographic location relative to a genre of the target product.