APPARATUS AND METHOD FOR DERIVING ADVERTISING EXPENDITURE DATA

• US 20080091487A1
• Filed: 10/04/2007
• Published: 04/17/2008
• Est. Priority Date: 10/05/2006
• Status: Abandoned Application

• Current Assignee: WebTrends Incorporated (WebTrends Holding, Inc.)
• Original Assignee: WebTrends Incorporated (WebTrends Holding, Inc.)
• Inventors: Rodkin, John, Walker, Sherrett, Chang, Leo
• Application Number:
  US11/867,624
• Publication Number:
  US 20080091487A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• 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

Abstract

A method of evaluating advertising expenditures includes establishing a first relationship between advertising position and bid price. A second relationship between estimated expenditure per time period and bid price is formed. An average advertising position for an entity is observed. A frequency of appearance for the entity is located. The average advertising position is mapped to a bid price using the first relationship. The bid price is mapped to an estimated expenditure per time period using the second relationship. The average expenditure is multiplied by the frequency of appearance to establish a per time period expenditure for the entity.

Claims

1. A method of evaluating advertising expenditures, comprising:

establishing a first relationship between advertising position and bid price;

forming a second relationship between estimated expenditure per time period and bid price;

observing an average advertising position for an entity;

locating a frequency of appearance for the entity;

mapping the average advertising position to a bid price using the first relationship and the bid price to an estimated expenditure per time period using the second relationship; and

multiplying the average expenditure by the frequency of appearance to establish a per time period expenditure for the entity.

2. The method of claim 1 further comprising generating a list of entities and corresponding per time period expenditures.

3. A method for evaluating advertising expenditures of an entity using keyword purchases on a search engine, the method comprising:

querying a keyword estimate service of the search engine with a plurality of bid prices for a target keyword to obtain a first relationship of advertising position to bid price for the search engine;

interpolating a curve using the first relationship;

robotically crawling the search engine using the target keyword to obtain data of an average observed position of the entity; and

mapping the average observed position onto the curve to estimate an average daily spend of the entity.

4. The method of claim 3, further including:

robotically crawling the search engine using the target keyword to obtain data of an observed frequency of appearance of the entity; and

multiplying the estimated average daily spend of the entity with the frequency of appearance to refine the average daily spend figure.

5. A computer readable storage medium, comprising executable instructions to:

query a search engine with a keyword to note an average position of an entity within the search engine results for the keyword;

query a keyword estimate service of the search engine with a plurality of bid prices to establish a relationship between bid price and position; and

map the average position against the relationship to obtain an estimated average daily spend to achieve that average position.

6. The computer readable storage medium of claim 5, further comprising executable instructions to determine a frequency of occurrence of the entity in the search engine results and refine the estimated average daily spend using the determined frequency.

7. An apparatus for deriving advertising expenditure of an entity, comprising:

a lead-generation robot configured to multiply query a search engine using a designated keyword and store in memory a position of an entity appearing within pages resulting from each of said queries;

a keyword estimate service query engine configured to query a keyword estimate service of an Internet search engine using a plurality of bid prices to obtain an estimated position associated with each bid price; and

an advertising expenditure calculator operative to average the position of the entity across all queries by the lead-generation robot for the keyword, establish a relationship between bid price and position using data obtained by the keyword estimate service engine, and determine an estimate of the advertising expenditure of the entity responsive to an association of the average position with the relationship.