DRIVING BUSINESS TRAFFIC BY PREDICTIVE ANALYSIS OF SOCIAL MEDIA

• US 20150379530A1
• Filed: 06/26/2014
• Published: 12/31/2015
• Est. Priority Date: 06/26/2014
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostick, James E., Ganci, John M. Jr., Starks, Kimberly G., Trim, Craig M.
• Application Number:
  US14/315,791
• Publication Number:
  US 20150379530A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

According to a business requirement, a set of characteristics of a market is computed. The market comprises a group of potential buyers of a product. In a social medium, the market is identified. A data source operates in the market in the social medium. Data corresponding to the data source in the social medium is analyzed to identify a set of attributes of an event occurring in the social medium. An attribute in the set of attributes is correlated with the product. An information associated with a business application is manipulated such that a search result showing an availability of the product from the business application is promoted in a set of search results produced by a search engine, wherein the set of search results is responsive to a search related to the event in the social medium.

Claims

1. A method for driving business traffic by predictive analysis of social media, the method comprising:

computing, according to a business requirement, a set of characteristics of a market, wherein the market comprises a group of potential buyers of a product;

identifying in a social medium, the market, wherein a data source operates in the market in the social medium;

analyzing a data corresponding to the data source in the social medium to identify a set of attributes of an event occurring in the social medium;

correlating an attribute in the set of attributes with the product; and

manipulating an information associated with a business application such that a search result showing an availability of the product from the business application is promoted in a set of search results produced by a search engine, wherein the set of search results is responsive to a search related to the event in the social medium.

2. The method of claim 1, wherein the manipulating comprises:

changing, in the business application, a product information of the product such that a relation is established between the product and the event, and the search engine lists the business application in the set of search results responsive to the relation.

3. The method of claim 1, wherein the manipulating comprises:

modifying, in the search engine a record of the business application to cause the search engine to list the business application in the set of search results responsive to the search related to the event in the social medium.

4. The method of claim 1, further comprising:

performing a return-on-investment (ROI) computation, wherein the ROI computation establishes that promoting showing the availability of the product from the business application in the set of search results has a greater return than a cost associated with the manipulating.

5. The method of claim 1, further comprising:

generating a report, wherein the report is usable to one of validate and change a pricing model, wherein the pricing model is used for charging a business enterprise a price for the manipulating, wherein the business enterprise operates the business application.

6. The method of claim 1, further comprising:

determining that the attribute in the set of attributes corresponds to a parameter in a set of parameters of the product.

7. The method of claim 1, further comprising:

determining that the attribute in the set of attributes correlates to a plurality of products, the plurality of products including the product;

selecting the product from the plurality of products; and

selecting the business application responsive to selecting the product from the plurality of products.

8. The method of claim 1, wherein the data corresponding to the data source comprises data generated by the data source in the social medium.

9. The method of claim 1, wherein the data corresponding to the data source comprises data that refers to the data source in the social medium.

10. The method of claim 1, wherein the data source comprises a social medium profile, wherein the market comprises a group of social medium users who are associated with the social medium profile.

11. The method of claim 1, wherein the event is trending up in the social medium at the time of analyzing the data.

12. The method of claim 1, further comprising:

using a natural language processing (NLP) engine to perform the analyzing of the data.

13. The method of claim 1, wherein the data source creates the market in the social medium.

14. The method of claim 1, further comprising:

identifying in the social medium a set of data sources, the set of data sources collectively affecting the market, wherein the data source in the set of data sources corresponds to a first subset of the characteristics of the market, and wherein another data source in the set of data sources corresponds to a second subset of the characteristics of the market.

15. The method of claim 1, the set of characteristics comprising:

a size of the market, where the size is a number of potential buyers of the product.

16. The method of claim 15, the set of characteristics comprising at least one of (i) a geographical location of the market, (ii) an industry related to the market, and (iii) a demographic composition related to the market.

17. The method of claim 1, wherein the method is embodied in a computer program product comprising one or more computer-readable tangible storage devices and computer-readable program instructions which are stored on the one or more computer-readable tangible storage devices and executed by one or more processors.

18. The method of claim 1, wherein the method is embodied in a computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices and program instructions which are stored on the one or more computer-readable tangible storage devices for execution by the one or more processors via the one or more memories and executed by the one or more processors.

19. A computer program product for driving business traffic by predictive analysis of social media, the computer program product comprising:

one or more computer-readable tangible storage devices;

program instructions, stored on at least one of the one or more storage devices, to compute, according to a business requirement, a set of characteristics of a market, wherein the market comprises a group of potential buyers of a product;

program instructions, stored on at least one of the one or more storage devices, to identify in a social medium, the market, wherein a data source operates in the market in the social medium;

program instructions, stored on at least one of the one or more storage devices, to analyze a data corresponding to the data source in the social medium to identify a set of attributes of an event occurring in the social medium;

program instructions, stored on at least one of the one or more storage devices, to correlate an attribute in the set of attributes with the product; and

program instructions, stored on at least one of the one or more storage devices, to manipulate an information associated with a business application such that a search result showing an availability of the product from the business application is promoted in a set of search results produced by a search engine, wherein the set of search results is responsive to a search related to the event in the social medium.

20. A computer system for driving business traffic by predictive analysis of social media, the computer system comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to compute, according to a business requirement, a set of characteristics of a market, wherein the market comprises a group of potential buyers of a product;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to identify in a social medium, the market, wherein a data source operates in the market in the social medium;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to analyze a data corresponding to the data source in the social medium to identify a set of attributes of an event occurring in the social medium;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to correlate an attribute in the set of attributes with the product; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to manipulate an information associated with a business application such that a search result showing an availability of the product from the business application is promoted in a set of search results produced by a search engine, wherein the set of search results is responsive to a search related to the event in the social medium.