Skip to Main Content
Article navigation
Purpose

Since it is hard for consumers to express their feelings and views regarding brand images, market researchers increasingly use projective and enabling techniques to collect rich and meaningful data. The purpose of this paper is to describe the development and use of two methods of brand image research based on personification. Both methods were used to investigate the personality of four beer brands.

Design/methodology/approach

The first method was based on mood boards: participants were asked to make collages of celebrity photographs representing the beer brands (n=16). The second method used a job‐sorting task: participants were asked to connect jobs with the beer brands (n=100). The results of both methods were related to a list of brand personality traits.

Findings

Holistic interpretations of the mood boards and the jobs associated with the beer brands reveal highly similar results among the two methods, which strongly discriminate between the four beer brands. A translation of these findings to scores on personality dimensions further underlines the similarity of the two methods used, but does not convincingly distinguish between the four beer brands.

Research limitations/implications

The similarities in the results underline the congruent validity of the two methods. The observation that the two methods lose their discriminating value when holistic impressions are translated to personality dimensions scores calls for more research into the way projective research data may be interpreted and used.

Originality/value

This study is a first attempt to compare the results of two different but related projective techniques for brand image research. It demonstrates the importance of methodological research in this area.

You do not currently have access to this content.
Don't already have an account? Register

Purchased this content as a guest? Enter your email address to restore access.

Please enter valid email address.
Email address must be 94 characters or fewer.
Pay-Per-View Access
$39.00
Rental

or Create an Account

Close Modal
Close Modal