Computer-Implemented System And Method For Web Activity Assessment

• US 20100257025A1
• Filed: 11/05/2009
• Published: 10/07/2010
• Est. Priority Date: 03/29/2002
• Status: Active Grant

• Current Assignee: John C. Brocklebank
• Original Assignee: John C. Brocklebank
• Inventors: Brocklebank, John C.
• Granted Patent: US 8,630,891 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

A computer-implemented system and method for evaluating customer activity. Data about the customer activity is received and is used to generate actual data values associated with preselected business metrics. One or more business metric score cards may be generated to assess how the business metrics are performing as well as what business metrics can be changed to better meet business goals.

Claims

1. (canceled)

2. A computer-implemented method of evaluating a target business metric, comprising:

receiving a selection of a target business metric;

receiving a selection of a plurality of input business metrics, wherein the input business metrics are correlated with the target business metric, and wherein each input business metric has a corresponding initial value;

using the initial values of the input business metrics to generate a predicted value for the target business metric;

receiving one or more predetermined values corresponding to a change in the target business metric;

forecasting an amount of change for each input business metric, wherein the amount of change for each input business metric corresponds to the predetermined change in the target business metric; and

generating a graphical report displaying the one or more predetermined values corresponding to the change in the target business metric, wherein for each predetermined value, a forecasted amount of change for each input business metric is also displayed.

3. The method of claim 2, wherein forecasting an amount of change for an input business metric includes:

solving for a value of the input business metric being forecasted that would generate the predetermined change in the target business metric if all other input business metrics remained constant.

4. The method of claim 2, wherein the predetermined change in the target business metric is a percentage increase to the predicted value for the target business metric.

5. The method of claim 4, wherein multiple predetermined values and associated forecasted amounts of change for each input business metric are displayed in a table.

6. The method of claim 5, wherein a column of the table corresponds to one of the predetermined values and a row of the table corresponds to an input business metric.

7. The method of claim 2, wherein the initial values are associated with a date and are accessed from a database.

8. The method of claim 7, wherein the graphical report further includes a calendar, wherein the initial values are retrieved from a database according to a date of interest selected using the calendar.

9. A computer-implemented method of evaluating an advertising campaign event, comprising:

receiving a selection of a target consumer behavior;

receiving a selection of a consumer segment to be exposed to the advertising campaign event;

using initial exposure values for a date of interest and a plurality of dates prior to the date of interest to generate a predicted value for the target consumer behavior on the date of interest;

receiving one or more predetermined values corresponding to a change in the target consumer behavior;

forecasting an amount of change for each exposure value used to generate the predicted value for the target consumer behavior, wherein the amount of change for each exposure value corresponds to the predetermined change in the target consumer behavior;

generating a graphical report displaying the one or more predetermined values corresponding to the change in the target consumer behavior, wherein for each predetermined value, a forecasted amount of change for each exposure value is also displayed.

10. The method of claim 9, wherein forecasting an amount of change for an exposure value includes:

solving for a value of the exposure value being forecasted that would generate the predetermined change in the target consumer behavior if all other exposure values remained constant.

11. The method of claim 9, wherein the predetermined change in the target consumer behavior is a percentage increase to the predicted value for the target consumer behavior.

12. The method of claim 11, wherein multiple predetermined values and associated forecasted amounts of change for each exposure value are displayed in a table.

13. The method of claim 12, wherein a column of the table corresponds to one of the predetermined values and a row of the table corresponds to an exposure value.