MEASURING CUSTOMER INTEREST TO FORECAST PRODUCT CONSUMPTION

• US 20140222511A1
• Filed: 04/11/2014
• Published: 08/07/2014
• Est. Priority Date: 05/05/2003
• Status: Abandoned Application

• Current Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Original Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Inventors: Broady, George Vincent, Bedard, Scott R.
• Application Number:
  US14/251,550
• Publication Number:
  US 20140222511A1
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

Customer activity (especially activity on Internet web sites) is monitored in correspondence to a product or other entity, in order to enable a forecast of future “consumption” of the product or entity. (Consumption may be the sale, rental, use, viewing or interest in the product or other entity.) First, the monitoring method includes gathering activity information that characterizes the activity of the customers with reference to the entity. Then, the gathered activity information is mapped to a psychographic profile that represents a level of interest of the customers as a function of corresponding phases of a consumption cycle. Finally, the mapped activity information as well as control information (which may include product metadata, customer data, product contextual data) are processed to formulate the forecast of future consumption of the entity. The “product” being monitored may be a physical product, an electronic product such as a computer game or downloadable file, an abstract concept, or a group or category of any of these products. Because the customer activity can be measured and analyzed in near real time, product consumption forecasts are quickly delivered; and use of the control information increases the effective intelligence of the mapping and processing processes, rendering more accurate product consumption forecasts.

Claims

1. A method of monitoring activity of customers with reference to an entity in order to enable a forecast of future consumption of the entity, the method comprising:

gathering activity information that characterizes the activity of the customers with reference to the entity;

mapping the gathered activity information to a psychographic profile that represents a level of interest of the customers as a function of corresponding phases of a consumption cycle; and

processing at least the mapped activity information to formulate the forecast of future consumption of the entity.

2. The method of claim 1, wherein:

the entity is a commercial product; and

consumption of the product includes purchase, rental or use of the commercial product.

3. The method of claim 2, wherein:

the entity is an electronic product selected from a group including a video game, a computer game, a computer program, and an electronic file; and

consumption of the electronic product includes purchase, rental or use of the electronic product.

4. The method of claim 1, wherein:

the entity is a category of plural products; and

consumption of the entity includes purchase, rental, use or interest in at least one of the plural products in the category.

5. The method of claim 1, wherein:

the entity is an abstract topic; and

consumption of the product includes the customers'"'"' interest in the abstract topic.

6. The method of claim 1, wherein the activity information gathering step includes:

characterizing activity of the customers on at least one Internet web site.

7. The method of claim 1, wherein the phases of the consumption cycle, to which the activities of the customers are mapped, include:

an awareness phase;

a consideration phase;

a trial phase;

a purchase phase; and

an engagement phase.

8. The method of claim 1, wherein the processing step includes:

weighting scores of information contributing to the psychographic profile in corresponding phases of the consumption cycle;

combining the weighted scores so as to form a power score; and

determining the forecast of future consumption based on the power score.

9. The method of claim 1, wherein at least one of the mapping and processing steps includes:

outputting data representing the level of interest of the customers; and

receiving customization parameters that at least partially govern the mapping and processing steps.

10. The method of claim 1, wherein:

a) the method further comprises gathering control data including at least one of a group including;

1) click data representing customer activity on an Internet web site;

2) metadata representing entity attributes;

3) customer data representing attributes of customers or customers'"'"' respective activities; and

4) contextual data representing contexts of entities; and

b) at least one of the mapping and processing steps includes using the control data to map the gathered activity information or to process at least the mapped activity information, respectively.

11. The method of claim 10, wherein at least one of the mapping and processing steps includes:

outputting the control data; and

receiving customization parameters that at least partially govern the mapping and processing steps.

12. A computer program product storing program instructions for execution on a computer system having at least one data processing device, which instructions when executed by the computer system cause the computer system to perform the method of any of claims 1-11.

13. A system for monitoring activity of customers with reference to an entity in order to enable a forecast of future consumption of the entity, the system comprising:

a first portion configured to gather activity information that characterizes the activity of the customers with reference to the entity;

a second portion configured to map the gathered activity information to a psychographic profile that represents a level of interest of the customers as a function of corresponding phases of a consumption cycle; and

a third portion configured to process at least the mapped activity information to formulate the forecast of future consumption of the entity.

14. The system of claim 13, wherein:

the first portion includes at least a web server computer configured to gather the activity information from at least one Internet web site; and

the second and third portions are included within a processing computer that is configured to receive the gathered activity information from the web server computer.

15. The system of claim 14, further comprising:

an interface configured to allow an analyst to interact with the second computer to interactively customize at least one of (a) mapping of the gathered activity information and (b) processing the mapped activity information.