Method of evaluating consumer choice through concept testing for the marketing and development of consumer products

• US 5,124,911 A
• Filed: 04/15/1988
• Issued: 06/23/1992
• Est. Priority Date: 04/15/1988
• Status: Expired due to Fees

• Current Assignee: Image Engineering Incorporated
• Original Assignee: Image Engineering Incorporated
• Inventors: Sack, Michael C.
• Primary Examiner(s): Baker, Stephen M.
• Application Number:
  US07/181,800
• Time in Patent Office: 1,530 Days
• Field of Search: 364/401, 364/419, 364/225 MS, 434/107, 434/188, 434/236, 434/433
• US Class Current: 705/7.32
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

A method of concept testing which includes performing a multi-attribute evaluation of prompts comprising concepts and existing products which compete in the same consumer market, eliciting from consumers evaluations of the extent to which each attribute ideally should be possessed by a product in the same consumer market, eliciting from consumers evaluations of their likelihood of purchasing the existing products and products described by the prompts, performing an independence factor analysis, and calculating for each prompt the deviation of the attribute evaluation from the mean.

Claims

1. A method of concept testing comprising:

a. performing a multi-attribute evaluation of prompts comprising concepts and existing products which compete in the same consumer market;

b. eliciting from consumers evaluations of the extent to which each attribute ideally should be possessed by a product in the same consumer market;

c. eliciting from consumers evaluations of their likelihood of purchasing the existing products and products described by the prompts;

d. performing an independence factor analysis of the attributes whereby clusters of related attributes are formed and are identified as factors;

e. performing for each prompt a squeeze analysis of the factors whereby (i) a matrix of factors is created wherein points defining the Euclidean distances between each product and the ideal product are plotted based upon the attribute evaluations associated with each product and (ii) a rating is assigned to each factor and to each attribute so that the Euclidean distances between the points on the matrix representing each product and the point representing the ideal product are re-ranked into the same order as the likelihoods of purchasing each product;

f. calculating, for each prompt, the deviation of each respective attribute evaluation for that prompt from the mean of the attribute evaluations for all prompts.

2. A method according to claim 1 wherein the prompts are also comprised of communications of the benefits of existing products as currently communicated to the consumers in the market.

3. A method according to claim 1 wherein the attributes selected systematically provide a level of behavioral variance greater than 70%.

4. A method according to claim 1 wherein the attributes selected provide a level of behavioral variance of about 90% or greater.

5. A method according to claim 1 wherein the deviations of attribute evaluations for each prompt are calculated for market segments defined by characteristics identified in further consumer responses obtained during the eliciting steps.

6. A method according to claim 1 wherein the deviations of attribute evaluations are calculated by measuring on a factors map, for each prompt or for each purpose for each prompt, the distance between the points representing the respective attribute evaluations and the points representing mean attribute evaluations for other concepts or competitive products.

7. A method according to claim 1 wherein the evaluations in each concept test are further limited to concepts and products used for a given purpose.

8. A method according to claim 1 wherein the attributes used in the multi-attribute evaluation are comprised of rational, personality and stereotype descriptors.

9. A method according to claim 8 wherein the attributes used in the multi-attribute evaluations are selected from descriptors elicited from consumers on the basis of their ability to enable consumers to discriminate between products.

10. A method according to claim 9 wherein the attributes selected systematically provide a level of behavioral variance greater than 70%.

11. A method according to claim 9 wherein the attributes selected provide a level of behavioral variance of about 90% or greater.

12. A method for testing concepts comprising:

a. eliciting from consumers descriptors of products including rational, personality and stereotype descriptors;

b. submitting the descriptors to consumers in qualitative interviews in order to reduce the number of descriptors by eliminating those which the interviews indicate are least sufficient as bases for the consumers to distinguish between the products;

c. eliciting from consumers quantitative evaluations of the extent to which the non-eliminated descriptors are attributable to the products;

d. calculating a discrimination index of the evaluated descriptors whereby the least number of descriptors, which provide the most discrimination between items and which account for the greatest amount of behavioral variance over 70% among the interviewed consumers, are identified as attributes;

e. eliciting from consumers in projective qualitative interviews benefits that communicate positive characteristics which consumers associate with similarly positioned products;

f. creating concepts which represent the elicited benefits;

g. eliciting from consumers evaluations of the extent to which the attributes are attributable to the existing products similarly positioned in the market;

h. eliciting from consumers evaluations of the extent to which each attribute ideally should be possessed by a product similarly positioned in the market;

i. eliciting from consumers evaluations of their likelihood of purchasing the products;

j. exposing to consumers a set of prompts comprising (1) concepts representing the benefits that consumers associated with the products in step e, (2) other given concepts describing potential benefits of the products and (3) existing expressions of benefits of currently available products;

k. eliciting from consumers evaluations of the extent to which each attribute is attributable to a product described by each prompt;

l. eliciting from consumers evaluations of the likelihood of purchasing a product described by each prompt;

m. performing an independence factor analysis of the attributes whereby clusters of related attributes are formed and are identified as factors;

n. performing for each prompt a squeeze analysis of the factors whereby (i) a matrix of factors is created wherein points defining the Euclidean distances between each product and the ideal product are plotted based upon the attribute evaluations associated with each product and (ii) a rank is assigned to each factor and to each attribute so that the Euclidean distances between the points on the matrix representing each product and the point representing the ideal product are re-ranked into the same order as the likelihoods of purchasing each product.

13. A method according to claim 12 wherein the attributes selected provide a level of behavioral variance of about 90% or greater.

14. A method for testing concepts comprising:

a. eliciting from consumers descriptors of products including rational, personality and stereotype descriptors;

b. submitting the descriptors to consumers in qualitative interviews in order to reduce the number of descriptors by eliminating those which the interviews indicate are least sufficient as bases for the consumers to distinguish between the products;

c. eliciting from consumers quantitative evaluations of the extent to which the non-eliminated descriptors are attributable to the products;

d. calculating a discrimination index of the evaluated descriptors whereby the least number of descriptors, which provide the most discrimination between items and which systematically account for the greatest amount of behavioral variance over 70% among the interviewed consumers, are identified as attributes;

e. eliciting from consumers in projective qualitative interviews benefits that communicate positive characteristics which consumers associate with similarly positioned products;

f. creating concepts which represent the elicited benefits;

g. eliciting from consumers evaluations of the extent to which the attributes are attributable to the existing products similarly positioned in the market;

h. eliciting from consumers evaluations of the extent to which each attribute ideally should be possessed by a product similarly positioned in the market;

i. eliciting from consumers evaluations of their likelihood of purchasing the products;

j. exposing to consumers a set of prompts comprising (1) concepts representing the benefits that consumers associated with the products in step e, (2) other given concepts describing potential benefits of the products and (3) existing expressions of benefits of currently available products;

k. eliciting from consumers evaluations of the extent to which prompts are associated with existing products;

l. eliciting from consumers evaluations of the extent to which each attribute is attributable to a product described by each prompt;

m. eliciting from consumers evaluations of the likelihood of purchasing a product described by each prompt;

n. performing an independence factor analysis of the attributes whereby clusters of related attributes are formed and are identified as factors representing constructs of consumer behavior associated with distinguishing between products;

o. performing for each prompt a squeeze analysis of the factors whereby (i) a matrix of factors is created wherein points defining the Euclidean distances between each product and the ideal product are plotted based upon the attribute evaluations associated with each product and (ii) a rank is assigned to each factor and to each attribute so that the Euclidean distances between the points on the matrix representing each product and the point representing the ideal product are re-ranked into the same order as the likelihoods of purchasing each product;

p. calculating for each prompt the deviation of each attribute evaluation for that prompt, from the mean of the attribute evaluations for all prompts, for groups of consumers defined by characteristics identified in further responses obtained during the eliciting steps.

15. A method according to claim 14 wherein the attributes selected provide a level of behavioral variance of about 90% or greater.