Retno Yustini W. 05/1770/PS 1
Title: DIMENSIONS OF BRAND PERSONALITY , By: Aaker, Jennifer L., Journal of Marketing
Research (JMR), 00222437, Aug97, Vol. 34, Issue 3
Database: Business Source Premier
DIMENSIONS OF BRAND PERSONALITY
Although a considerable amount of research in personality psychology has been done to
conceptualize human personality, identify the "Big Five" dimensions, and explore the meaning
of each dimension, no parallel research has been conducted in consumer behavior on brand
personality. Consequently, an understanding of the symbolic use of brands has been limited in
the consumer behavior literature. In this research, the author develops a theoretical framework
of the brand personality construct by determining the number and nature of dimensions of brand
personality (Sincerity, Excitement, Competence, Sophistication, and Ruggedness). To measure
the five brand personality dimensions, a reliable, valid, and generalizable measurement scale is
created. Finally, theoretical and practical implications regarding the symbolic use of brands are
discussed.
In consumer behavior research, a considerable amount of attention has been given to the
construct brand personally, which refers to the set of human characteristics associated with a
brand. Researchers have focused on how the personality of a brand enables a consumer to
express his or her own self (Belk 1988), an ideal self (Malhotra 1988), or specific dimensions of
the self (Kleine, Kleine, and Kernan 1993) through the use of a brand. Practitioners view it as a
key way to differentiate a brand in a product category (Halliday 1996), as a central driver of
consumer preference and usage (Biel 1993), and as a common denominator that can be used
to market a brand across cultures (Plummer 1985).
However, despite this interest, research on brand personality and the symbolic use of brands
more generally has remained limited due in part to the lack of consensus regarding what brand
personality really is. How is it defined and thereby distinguished from related constructs? Does it
have a framework or set of dimensions similar to or different from the "Big Five" dimensions of
human personality? As a re-suit, an understanding of how and when brand personality relates
to a consumer's personality and thereby influences consumer preference has remained elusive
(see Sirgy 1982).
Furthermore, no research has been conducted to develop systematically a reliable, valid, and
generalizable scale to measure brand personality. Currently, researchers rely on measurement
scales that tend to be ad hoc (e.g., checklists, photo-sorts, symbolic analogy) or taken directly
from personality psychology but not validated in the context of brands (Kassarjian 1971). As a
result, the theoretical generalizability and implications stemming from the findings in the
research on the symbolic use of brands are questionable.
The objective of this research is to address these limitations by drawing on research on the "Big
Five" human personality structure to develop a theoretical framework of brand personality Retno Yustini W. 05/1770/PS 2
dimensions (Norman 1963; Tupes and Christal 1958) and a reliable, valid, and generalizable
scale that measures these dimensions.
THE BRAND PERSONALITY CONSTRUCT
Brand personality is defined formally here as "the set of human characteristics associated with a
brand." To illustrate, Absolut vodka personified tends to be described as a cool, hip,
contemporary 25-year old, whereas Stoli's personified tends to be described as an intellectual,
conservative, older man. In contrast to "product-related attributes," which tend to serve a
utilitarian function for consumers, brand personality tends to serve a symbolic or self-expressive
function (Keller 1993).
It is argued that the symbolic use of brands is possible because consumers often imbue brands
with human personality traits (termed animism; e.g., Gilmore 1919). Consumers easily can think
about brands as if they were celebrities or famous historical figures (Rook 1985) and as they
relate to one's own self (Fournier 1994), which may be due in part to the strategies used by
advertisers to imbue a brand with personality traits such as anthropomorphization (e.g.,
California Raisins), personification (e.g., Jolly Green Giant), and the creation of user imagery
(e.g., Charlie girl). Through such techniques, the personality traits associated with a brand, such
as those associated with an individual, tend to be relatively enduring and distinct. For example,
the personality traits associated with Coca-Cola are cool, all-American, and real; these traits are
relatively enduring (Pendergrast 1993) and differentiate Coke from its competitors (e.g., Pepsi
being young, exciting, and hip; Dr Pepper being nonconforming, unique, and fun; Plummer
1985).
Motivated by this logic, previous research has suggested that the greater the congruity between
the human characteristics that consistently and distinctively describe an individual's actual or
ideal self and those that describe a brand, the greater the preference for the brand (e.g.,
Malhotra 1988; Sirgy 1982). However, the empirical exploration of this hypothesis has been
handicapped by a limited conceptual understanding of the brand personality construct and the
psychological mechanism by which it operates.
Antecedents of Brand Personality
Although human and brand personality traits might share a similar conceptualization (Epstein
1977), they differ in terms of how they are formed. Perceptions of human personality traits are
inferred on the basis of an individual's behavior, physical characteristics, attitudes and beliefs,
and demographic characteristics (Park 1986). In contrast, perceptions of brand personality traits
can be formed and influenced by any direct or indirect contact that the consumer has with the
brand (Plummer 1985). Personality traits come to be associated with a brand in a direct way by
the people associated with the brand -- such as the brand's user imagery, which is defined here
as "the set of human characteristics associated with the typical user of a brand"; the company's
employees or CEO; and the brand's product endorsers. In this way, the personality traits of the
people associated with the brand are transferred directly to the brand (McCracken 1989). In
addition, however, personality traits come to be associated with a brand in an indirect way
through product-related attributes, product category associations, brand name, symbol or logo,
advertising style, price, and distribution channel (Batra, Lehmann, and Singh 1993).
In addition to personality characteristics, researchers (Levy 1959, p. 12) argue that brand
personality includes demographic characteristics such as gender ("Usually it is hard to evade Retno Yustini W. 05/1770/PS 3
thinking of inanimate things as male or female"), age ("Just as most people usually recognize
whether something is addressed to them as a man or a woman, so are they sensitive to
symbols of age"), and class ("The possession of mink is hardly a matter of winter warmth
alone"). Similar to personality characteristics, these demographic characteristics also are
inferred directly from the brand's user imagery, employees, or product endorsers and indirectly
from other brand associations. For example, driven by distinct user imagery, Virginia Slims
tends to be thought of as feminine, whereas Marlboro (currently) tends to be perceived as
masculine. Partly due to the relative recency with which the two brands entered the market,
Apple is considered to be young, and IBM is considered to be olden On the basis of their
different pricing strategies, Saks Fifth Avenue is perceived as upper class, whereas Kmart is
perceived as blue collar.
Measuring Brand Personality
To examine how the relationship between brand and human personality may drive consumer
preference, two types of brand personality scales are used. The first type are ad hoc scales,
which typically are composed of a set of traits ranging from 20 to 300. However, though useful,
these scales tend to be a theoretical in nature -- often developed for the purposes of a specific
research study. As a result, key traits may be missing from such scales. Furthermore, the traits
that are selected often are chosen arbitrarily, which casts doubt on the scales' reliability and
validity.
The second type of brand personality scales are those that are more theoretical in nature, but
are based on human personality scales that have not been validated in the context of brands
(e.g., Bellenger, Steinberg, and Stanton 1976; Dolich 1969). However, though some dimensions
(or factors) of human personality may be mirrored in brands, others might not. As a result, the
validity of such brand personality scales often is questionable, leading researchers to argue that
"if unequivocal results are to emerge [in the literature on the symbolic use of brands] consumer
behavior researchers must develop their own definitions and design their own instruments to
measure the personality variables that go into the purchase decision" (italics in original;
Kassarjian 1971, p. 415).
In this research, a framework of brand personality dimensions is developed. By isolating these
distinct dimensions versus treating brand personality as a unidimensional construct, the
different types of brand personalities can be distinguished, and the multiple ways in which the
brand personality construct influences consumer preference may be understood better.
In addition, a scale is developed to provide a basis for theory-building on the symbolic use of
brands. Drawing on research by Malhotra (1981), who outlines a process of scale development
for measuring self, person, and product constructs, reliability and validity are established by
relying on subjects representative of the U.S. population, systematically selecting from a large
pool of traits to establish content validity, and demonstrating the robustness of the five
dimensions with an independent set of brands and subjects.
Perhaps most important, this framework and scale are generalizable across product categories.
Beyond practical benefits, a generalizable framework and scale enable researchers to
understand the symbolic use of brands in general versus the symbolic use of brands within a
particular category. As a result, the symbolic nature of brands can be understood at the same
level as the utilitarian nature of brands, which tends to be captured by models that are
generalizable across product categories (e.g., multi-attribute model; Fishbein and Ajzen 1975).
Therefore, like the multi-attribute model, which sheds insight into when and why consumers buy Retno Yustini W. 05/1770/PS 4
brands for utilitarian purposes, a cross-category framework and scale can provide theoretical
insights into when and why consumers buy brands for self-expressive purposes.
In contrast, consider the difficulties of a theoretician's attempt to explore hypotheses regarding
antecedents and consequences of brand personality using personality scales that apply only to
a single product category. It would be difficult to use cross-category stimuli, explore possible
moderating effects of product type, or examine the psychological mechanism that drives the
symbolic use of brands across product categories, individuals, and cultures. Thus, product
category-specific personality scales are of limited use in building theory.
WHAT IS BRAND PERSONALITY?
To establish content validity, the development of a comprehensive and representative set of
personality traits and the process of identifying a set of stimuli are described.
Personality Trait Generation
Overview. In the first stage of personality trait generation, a set of 309 candidate traits was
created by eliminating redundancy from trait lists optioned from three sources: personality
scales from psychology, personality scales used by marketers (academics and practitioners),
and original qualitative research. In the second stage, this set of traits was reduced to a more
manageable number (114).
First stage. Considerable research in psychology has converged on a stable, robust, and
reliable factorial composition of human personality, the "Big Five." A series of scales that have
been used to develop and refine the "Big Five," including the original work (Norman 1963;
Tupes and Christal 1958), NEO Model (McCrae and Costa 1989), Big Five Prototypes (John
1990), ACL (Piedmont, McCrae, and Costa 199l), and Inter-Circumplex Model (McCrae and
Costa 1989), contributed a total of 204 unique traits.
In addition, personality scales used by academics (All and Griggs 1988; Batra, Lehmann, and
Singh 1993; Levy 1959; Malhotra 1981; Plummer 1985; Wells et al. 1957) and practitioners (an
advertising agency, a market research supplier, and a client company) added a total of 133
unique traits.
Finally, to ensure that the list was complete and the traits were familiar and meaningful to
people, a free-association task was conducted. Subjects (n = 16, 50% female, mean age = 25)
were paid $40 each to participate in a study on the types of personality traits associated with
brands. Subjects were asked to write down the personality traits that first came to mind when
thinking about two brands in three types of product categories (as identified by Ratchford 1987
in the Appendix; think-feel dimensions): symbolic (jeans, cosmetics, and fragrance), utilitarian
(computers, electronics, and appliances), and both symbolic and utilitarian (automobiles,
beverages, and athletic shoes).[1] The symbolic-utilitarian framework (Katz 1960) was used
here and in subsequent studies as a systematic way to select brands that span a variety of
categories and serve multiple functions, so as to enhance the generalizability of the resulting
scale. The 295 unique traits resulting from this task were added to the pool of personality traits.
The result of the first trait generation stage left 309 nonredundant candidate personality traits. Retno Yustini W. 05/1770/PS 5
Second stage. In the second trait generation stage, the 309 traits were reduced to a more
manageable number. Subjects (n = 25, 70% female, mean age = 33) were paid $20 each to
participate in a study on the types of personality traits associated with brands. To communicate
the brand personality concept to subjects, subjects were given an example of the personality of
a brand in a symbolic product category (Wrangler jeans --macho, rough, and sturdy), a
utilitarian product category (Pepto Bismal stomach medication -- calm, sweet, and giving), and a
product category that was both symbolic and utilitarian (Dr Pepper soft drink --individualistic,
gregarious, and bold). In addition, to reduce the chances of focusing on a particular brand or
product category, subjects were told, "Since this study is not about any brand or product
category in particular, try to think of as many different types of brands in various product
categories when you evaluate each trait." Subjects rated how descriptive the 309 traits were of
brands in general (1 = not at all descriptive, 7 = extremely descriptive). To isolate the most
relevant traits, the cutoff for the final list of personality traits was a scale rating of 6 (very
descriptive), thereby leaving 114 personality traits for the study.
Stimuli Selection
Three criteria guided the selection of a comprehensive and representative set of brands: First,
salient, well-known brands were chosen so that a national sample could be used; second, a
wide variety of brands representing a spectrum of personality types was selected to enhance
the scope of the scale; and third, a range of product categories, both symbolic and utilitarian,
was drawn upon to enhance scale generalizability.
To identify the brands, an EquiTrend study (1992) was used. Here, 131 brands in 39 product
categories and services were rated by a national sample on both "salience" (proportion of
consumers who have an opinion about the brand) and "brand personality" (on the basis of 30
personality traits). The brands selected all had high salience ratings (above 50%). In addition,
they represented different personality profiles as determined by a clustering procedure in which
the 131 brands fell into nine distinct clusters. Four brands were chosen randomly from each of
these clusters on the basis of one guiding criteria: Approximately the same number of brands
were to be included from symbolic, utilitarian, and symbolic/utilitarian types of product
categories. This set of 37 brands included those that serve symbolic functions (e.g., clothing,
cosmetics, fragrance), utilitarian functions (e.g., film, pain relievers, toothpaste), and both
symbolic and utilitarian functions (e.g., computers, soft drinks, tennis shoes). For a list of the
brands, see Table 1.
Choosing a large number of brands has the advantage of increasing the generalizability and
robustness of the measurement scale. Its disadvantage, however, is possible subject fatigue
and boredom, which potentially could result in response bias. To minimize this problem, one
brand from each of the nine clusters was selected and placed into one of four "Brand Groups,"
such that each Brand Group contained a similar profile of brands. In this way, personality
heterogeneity in each of the Brand Groups similar to that of the total sample of brands was
maintained. Finally, one brand (Levi's jeans) was included in each of the four Brand Groups so
that the extent to which the four distinct groups of subjects differed in their brand personality
perceptions could be assessed. Thus, a total of 37 brands were included.
No significant differences were found among the mean ratings of Levi's jeans in the four groups,
which suggests high levels of agreement of the human characteristics associated with a
particular brand. Furthermore, the original ratings on the EquiTrend personality traits for the
nine sets of four brands were examined to confirm their high levels of similarity; each of the four
brands within each set were similar on all personality traits. Retno Yustini W. 05/1770/PS 6
METHOD
Subjects
The external validity and generalizability of the brand personality scale depended on the
subjects on which the scale was based. Therefore, a nonstudent sample was used; one that
represented the U.S. population with respect to five demographic dimensions (gender, age,
household income, ethnicity, and geographic location) as identified in the 1992 U.S. Bureau of
the Census. For example, 56% of the sample was female, 20% was 18-24 years of age, 34%
had a household income of more than $50,000, 10% was African-American, and 20% lived in
the Northeast. The subjects in the four Brand Groups were selected to have the same profiles
as the total sample. Unless otherwise specified, the same demographic profile of subjects is
used in all remaining stages of this research.
To stimulate a high return rate, a total of 1200 questionnaires was sent via Federal Express to
subjects from a national mail panel. Approximately 55% of the subjects returned the
questionnaires (n = 631).
Procedure
Subjects, who participated in the study in exchange for a gift of their choosing and a chance to
win three first prizes of $250 and five second prizes of $50, received the following set of
instructions:
Most of the following questions are about a variety of brands of products or services. We would
like you to think of each brand as if it were a person. This may sound unusual, but think of the
set of human characteristics associated with each brand. For example, you might think that the
human characteristics associated with Pepto Bismal are kind, warm, caring, soothing, gentle,
trustworthy and dependable. The human characteristics associated with Dr Pepper might be
non-con-forming, fun, interesting, exciting and off-beat. We're interested in finding out which
personality traits or human characteristics come to mind when you think of a particular brand.
Using a five-point Likert scale (1 = not at all descriptive, 5 = extremely descriptive), subjects
were asked to rate the extent to which the 114 personality traits describe a specific brand.[2]
Primarily positively valenced traits were used because brands typically are linked to positive
(versus negative) associations and because the ultimate use of the scale is to determine the
extent to which brand personality affects the probability that consumers will approach (versus
avoid) products.
Subjects repeated the rating task for the nine additional brands in the particular Brand Group.
To control for primacy and recency effects, the order in which the traits were presented for each
brand was counterbalanced. In addition, the order in which the ten brands were presented in the
questionnaire was rotated completely.
IDENTIFYING THE BRAND PERSONALITY DIMENSIONS
Because the objective of this stage was to identify the brand personality dimensions as
perceived in consumers' minds, rather than the individual differences in how different people
respond to single brands, a state (versus trait) "O" analysis was used where the correlation Retno Yustini W. 05/1770/PS 7
matrix for the personality traits (n = 114) correlated across the brands (n = 37) is analyzed, and
the scores of each brand on each personality trait are averaged across subjects (n = 631). The
114 x 114 correlation matrix was factor-analyzed using principal components analysis and a
varimax rotation. A five-factor solution resulted on the basis of the following criteria:
1. All five factors had eigenvalues greater than one.
2. A significant dip in the Scree plot followed the fifth
factor.
3. The first five factors were the most meaningful, rich, and
interpretable.[3]
4. The five-factor solution explained a high level of variance
in brand personality (92%).
5. The five-factor solution was the most stable and robust, as
illustrated by subsample factor analyses described
subsequently (e.g., males versus females, younger versus
older subjects).
With the exception of four traits (urban, proud, healthy, and flexible), all of the traits had high
loadings (> .60) on one of the five factors and relatively low loadings on the other four factors.
Because traits that load below .40 do not add to measure purification (Nunnally 1978), these
four traits were removed and the factor analysis rerun. The result was an easily interpretable
five-factor solution with high loadings and communalities for each of the traits. Moreover, the
variance explained in each of the factors was relatively high (see Table 2).
The names determined to represent best the types of concepts subsumed in each of the five
dimensions were Sincerity (e.g., typified by Hallmark cards), Excitement (e.g., MTV channel),
Competence (e.g., The Wall Street Journal newspapers), Sophistication (e.g., Guess jeans),
and Ruggedness (e.g., Nike tennis shoes).[4]
ASSESSING THE STABILITY OF THE BRAND PERSONALITY
DIMENSIONS
One limitation associated with factor analysis is potential differences in the meaning of the
personality traits among distinct groups of people. Therefore, to test the generality of the five
brand personality dimensions and to determine if the measurement scale can be used in future
research with particular groups of subjects (e.g., students), separate principal component factor
analyses (with varimax rotation and unrestricted number of factors to be extracted) were run on
four subsamples of subjects; males (n = 278), females (n = 353), younger subjects (n = 316),
and older subjects (n = 315).
The similarity of the results from the four principal components factor analyses was assessed
both qualitatively and quantitatively. Qualitatively, an inspection of the results shows that the
three criteria for similar factor structures were met (Osgood, Suci, and Tannenbaum 1957): (1)
the same number of factors were extracted -- five; (2) the same type of five factors resulted (i.e.,
the same traits loaded on the same factors as in the total-sample factor analysis); (3) relatively
similar weights for the five factors existed among the four subpopulations. In addition, the
variance explained by each factor in the four groups was approximately the same. The largest
difference was for Sincerity, which explained 27% of the variance for the younger subject
sample versus 31% of the variance for the older subject sample. Quantitatively, factor
congruence correlations (the average factor correlations between the subsamples) were Retno Yustini W. 05/1770/PS 8
calculated and ranged from .92 to .95. Although no statistical tests are associated with this
coefficient, the factor structure is interpreted as essentially invariant if congruence coefficients
are higher than .90 (Everett 1983).
REPRESENTING THE FIVE BRAND PERSONALITY DIMENSIONS:
THE FINAL SET OF PERSONALITY TRAITS
The goal of the next phase was to identify the traits that most reliably, accurately, and
comprehensively represent the five dimensions. Therefore, a facet identification phase was
conducted, whereby each set of items in the five factors identified in the principal components
analysis was factor-analyzed individually. The result of those five factor analyses was a set of
"facets." To provide a reliable representation of each facet (Nunnally 1978), three traits from
each facet were selected.
Facet Identification
Because many of the factors are broad, personality psychologists (e.g., Church and Burke
1994; McCrae and Costa 1989) focus on different "facets" subsumed by each factor to select
representative traits that provide both breadth and depth and to serve as a framework for
establishing the similarities and differences among alternative conceptions of the "Big Five." To
identify the facets, the set of items in each factor (which resulted from the principal components
analysis) is factor-analyzed individually, a process that results in an unconstrained set of facets.
For example, the Extroversion factor of human personality consists of six facets: Warmth,
Gregariousness, Assertiveness, Activity, Excitement-Seeking, and Positive Emotions. However,
it should be noted that these facets are not factors in and of themselves, but rather are "used to
select and refine items ... to improve the scales, not to revise the constructs" (Church and Burke
1994, p. 107).
Therefore, in this research, the set of items in each of the five factors was factor-analyzed
individually using principal components analysis, a varimax rotation scheme, and an
unrestricted number of factors to be extracted. The result of the five individual factor analyses
was a total of 15 facets: Sincerity and Excitement each had four facets, Competence had three,
and Sophistication and Ruggedness each had two.
The next stage was to select the best traits represented in each of the 15 facets to be included
in the scale. To add to the scale's reliability and comprehensiveness while minimizing trait
redundancy, a clustering procedure outlined by Nunnally (1978) was followed, whereby three
clusters were formed for each facet.[5] Next, the trait with the highest item-to-total correlation in
each cluster was identified, leaving 45 traits (3 traits for each of the 15 facets) to be included in
the final Brand Personality Scale. All of these traits had high item-to-total correlations on both
the facets (ranging from .75 to .98) and their factors (ranging from .50 to .97), thereby ensuring
high internal consistency. See Figure I for the brand personality framework, which includes the
five dimensions and 15 facets.
ARE THE FIVE BRAND PERSONALITY DIMENSIONS RELIABLE?
To determine the degree to which the five brand personality dimensions will yield consistent
results, reliability was assessed in two ways: test-retest correlations and Cronbach's alpha. Retno Yustini W. 05/1770/PS 9
Test-Retest Reliability
A random subset of 200 subjects (50 in each of the four Brand Groups) was selected from the
original sample of subjects. To minimize both potential memory effects, in which subjects might
remember their responses to the original questionnaire, and "brand personality" effects, in
which differences in the responses at Time 1 and 2 might differ because of gradual changes in
the brand personalities over time, the test-retest questionnaire was sent two months after the
original questionnaire. To avoid systematic bias, all 114 traits were included in the test-retest
questionnaire.
The test-retest sample was composed of 81 subjects (a 41% return rate). The average Pearson
correlation between Time I and Time 2 on the 45 traits was .80, ranging from .49 to .90. Three
traits with test-retest correlations below .60 were dropped from the scale. Based on the
remaining 42-trait scale, the test-retest correlations for each of the five factors were as follows:
Sincerity = .75, Excitement = .74, Competence = .76, Sophistication = .75, and Ruggedness =
.77, all of which met Nunnally's (1978) criterion of test-retest scores of greater than .70 at this
stage of research.
Cronbach's Alpha
Cronbach's alphas were calculated for each of the five dimensions using the 42-trait scale. The
resulting values were high: Sincerity = .93, Excitement = .95, Competence = .93, Sophistication
= .91, and Ruggedness = .90. In addition, all traits within each of the five dimensions had high
item-to-total correlations (averaging .85, all exceeding .55), which indicate high levels of internal
reliability.
CONFIRMING THE BRAND PERSONALITY DIMENSIONS
The factor analysis conducted in the first measurement purification phase raises two questions:
First, to what extent are the five dimensions based on the particular brands selected as stimuli,
and therefore biased if another set of brands were used? Second, to what extent are the five
dimensions a function of the particular subject sample, and therefore would change if another
sample was used? To answer these questions, an additional phase of research was conducted:
the confirmation of the five dimensions of brand personality using a second independent sample
of brands and subjects.
Subjects and Procedure
A total of 250 questionnaires was sent via Federal Express to subjects from a national mail
panel. The end sample included 180 subjects (a 72% response rate) with the same
demographic profile as those in the first phase. Subjects followed the identical procedure as in
the first measurement purification phase, except for two changes: (1) 42 personality traits were
used (versus 114) and (2) a different set of brands was used.
Stimuli
The second sample of brands was drawn from the same source as the original set of brands
(EquiTrend 1992). Of the 39 product categories used in the original EquiTrend study, 23 were
used in the first study. Of the remaining 16 product categories, the 10 product categories that Retno Yustini W. 05/1770/PS 10
included more than one brand were selected. Next, the two brands with the highest salience
ratings (all higher than 50%) in these 10 product categories were selected, for a total of 20
brands. However, unlike the first measurement purification phase, these brands were not
chosen on the basis of their personality, so as to provide (l) a randomly chosen independent
sample of brands and (2) a more stringent test of the five-factor structure. See Table 3 for a list
of these brands.
Analysis
Because the objective of the second measurement purification stage was to determine the
extent to which the five dimensions were robust over a new set of brands and subjects, a
confirmatory factor analysis (Generalized Least Squares was conducted), estimating a five-
factor model for 42 traits. When the five factors were allowed to correlate, the fit statistics
suggested a good model fit (cf. Bagozzi and Heatherton 1994; Bentler 1990): the confirmatory
fit index (CFI; Bentler 1990) = .98, goodness-of-fit index (GFI) = .91, adjusted goodness-of-fit
index (AGFI) = .86, root mean square residual (RMSR) = .07, and Chi-square = 9,216.80[6]
(with 809 degrees of freedom; p < .01). When the factors were restricted to be orthogonal, the fit
statistics were CFI = .94, GFI = .86, AGFI = .85, RMSR = .15, and Chi-square = 9,447.11 (with
819 degrees of freedom; p < .01). Finally, to provide convergent support of the robustness of
the structure, an exploratory principal components factor analysis was conducted using a
varimax rotation scheme and an unconstrained number of factors to be extracted. The results
showed that the same number of factors resulted, the same type of five factors resulted, and
similar weights for the five factors existed. Moreover, factor congruence correlations for the five
factors were high, ranging from .97 to .99, which provides support for the stability of the five-
factor structure. For a list of the final set of personality traits that measure the five dimensions of
brand personality, see Appendix A.
GENERAL DISCUSSION
Summary of the Research
The objective of this research was to develop a framework of brand personality dimensions and
a reliable, valid, and generalizable scale to measure the dimensions. To identify the brand
personality dimensions, a total of 631 subjects rated a subset of 37 brands on 114 personality
traits. The results of an exploratory principal components factor analysis suggest that
consumers perceive that brands have five distinct personality dimensions: Sincerity,
Excitement, Competence, Sophistication, and Ruggedness. The results of a series of factor
analyses run on subsets of subjects established the robustness of the brand personality
dimensions. In addition, high levels of reliability of the five dimensions were established through
test-retest correlations and Cronbach's alphas. Finally, the results of a confirmatory factor
analysis relying on 180 subjects, 20 brands in ten product categories, and 42 personality traits
provided additional support for the stability of the five dimensions. In summary, the results of
these analyses demonstrate that the framework of brand personality dimensions, as
represented by the 42-item Brand Personality Scale, is reliable, valid, and generalizable.
The Symbolic Use of Brands: Brand Personality Versus Human
Personality Retno Yustini W. 05/1770/PS 11
This research has both theoretical and practical implications. Theoretically, the brand
personality framework developed in this research suggests that one reason for the weak
findings in the self-congruity literature may be due to the asymmetric relationship in the
structure of brand versus human personality. Although it could be argued that three brand
personality dimensions relate to three of the "Big Five" human personality dimensions (i.e.,
Agreeableness and Sincerity both capture the idea of warmth and acceptance; Extroversion and
Excitement both connote the notions of sociability, energy, and activity; Conscientiousness and
Competence both encapsulate responsibility, dependability, and security), two dimensions
(Sophistication and Ruggedness) differ from any of the "Big Five" of human personality (Briggs
1992). This pattern suggests that brand personality dimensions might operate in different ways
or influence consumer preference for different reasons. For example, whereas Sincerity,
Excitement, and Competence tap an innate part of human personality, Sophistication and
Ruggedness tap a dimension that individuals desire but do not necessarily have. This premise
is consistent with the advertising created for prototypical Sophisticated brands (e.g., Monet,
Revlon, Mercedes), in which aspirational associations such as upper class, glamorous, and
sexy are a focus. Similarly, Ruggedness brands (e.g., Marlboro, Harley-Davidson, Levi's) tend
to glamorize American ideals of Western, strength, and masculinity.
If true, this premise would suggest that one reason for the weak empirical support for self-
congruity effects (both actual and ideal) is the focus on matching the personality between a
brand and a consumer at the aggregate level (i.e., across all personality traits). Rather, this
research suggests that dimensions of personalities must be examined (Kleine, Kleine, and
Kernan 1993; see also Kleine, Kleine, and Allen 1995). Furthermore, the importance of these
dimensions must be examined in order to understand their centrality to the self (Markus 1977;
Markus and Wurf 1987) and the extent to which they influence preference for brands across
situations.
Practical applications of this research also exist. This is the first attempt to develop a
measurement scale that is based on a representative sample of subjects, a comprehensive list
of traits, and a systematically chosen set of brands across product categories. Therefore,
practitioners have an alternative to the ad hoc scales currently used. Moreover, the scale can
be used to compare personalities of brands across product categories, thereby enabling
researchers to identify benchmark personality brands. To aid this process, a set of personality
trait norms is provided in Appendix A.
The Antecedents, Consequences, and Processing of Brand Personality
Assuming that having a brand personality is important, the question arises: How does a brand
go about developing one? The brand personality framework and scale developed in this
research also can be used to gain theoretical and practical insight into the antecedents and
consequences of brand personality, which have received a significant amount of attention but
little empirical testing. In terms of antecedents, many have suggested that brand personality is
created by a variety of marketing variables (e.g., user imagery, advertising, packaging; cf. Batra,
Lehmann, and Singh 1993; Levy 1959; Plummer 1985). However, the extent to which these
variables independently and interdependently influence brand personality has yet to be
determined. With the use of the Brand Personality Scale, the variables can be manipulated
systematically and their impact on a brand's personality measured. Similarly, in terms of
consequences, researchers suggest that brand personality increases consumer preference and
usage (Sirgy 1982), evokes emotions in consumers (Biel 1993), and increases levels of trust
and loyalty (Fournier 1994). These assertions can be tested by systematically manipulating
distinct dimensions of a brand's personality (e.g., Sincerity) and examining their impact on key Retno Yustini W. 05/1770/PS 12
dependent variables. Theoretically, this learning would contribute to an overall understanding of
the symbolic use of brands. Practically, it would provide insight into the variables that influence
brand personality, as well as those that are influenced by brand personality.
Further research also is needed to examine how brand personality information is processed.
Past research demonstrates that under conditions of high motivation or ability, brand attributes
tend to be processed systematically (Maheswaran and Chaiken 1991). However, less is known
about attitude formation under conditions of low motivation or ability. One possibility is that
brand personality information, used as a heuristic cue, might influence consumer attitudes and
attenuate the processing of brand attribute information under low motivation. Another is that,
due to the matching process required to determine if a brand personality and one's own
personality are congruent versus incongruent, brand personality information might require
systematic processing, and therefore should influence attitudes additively under high motivation.
A final possibility that merits exploration is that brand personality could bias brand attribute
information, in which the brand attributes are interpreted differently given the personality
associated with a brand (cf. Chaiken and Maheswaran 1994).
The Symbolic Use of Brands Across Cultures
Finally, the brand personality framework and scale developed here have important implications
for researchers examining the perceptions of brand personality across cultures. For example,
the extent to which brand personality dimensions are cross culturally generalizable must be
examined. Although research has shown that the human personality dimensions remain robust
across cultures (Paunonen et al. 1992), the same may not be so for brand personality because
of differences in the antecedents of the two constructs. Consequently, the current scale might
not be appropriate for measuring brand personality in a different cultural context. Additional
research is needed to determine the extent to which these brand personality dimensions are
stable across cultures and, if not, theoretically why they might be altered. Answers to these
questions will shed insight into the extent to which a brand's personality (versus the brand's
attributes) should remain constant across cultures, what dimensions of brand personality are
valued across cultures, and how consumers use brands across cultures (cf. Aaker and
Maheswaran 1997).
Finally, little is known about the psychological mechanism by which brand personality operates
across cultures. However, recent research in cultural psychology suggests that the symbolic
use of brands differs considerably across cultures (Aaker and Schmitt 1997). For example, in
individualist cultures, where independence, autonomy, and uniqueness are valued (Markus and
Kitayama 1991), consumers are more likely to use brands to express how they are different
from members of their in-group. In contrast, in collectivist cultures, where interdependence,
conformity, and similarity are valued (Markus and Kitayama 199l), consumers are more likely to
use brands to express how they are similar to members of their in-group. Such research would
demonstrate that the symbolic or self-expressive use of brands is robust across cultures, while
the nature of that self-expression differs significantly.
1. To ensure that the pair of brands, which also vary on the symbolic-utilitarian continuum.
in a product category were selected systematically, an independent set of subjects (n =
20, 50% female, mean age = 28) was asked to rate the extent to which 36 brands in
nine product categories were relatively more "symbolic (i.e., self-expressive) versus
utilitarian (i.e., functional)" in nature. The brands that received the highest rating on the
"symbolic" dimension are listed first, followed by the brands that received the highest
rating on the "utilitarian" dimension: jeans (Guess, Wrangler), cosmetics (Revlon, Mary Retno Yustini W. 05/1770/PS 13
Kay), fragrance (Obsession, Chanel), computers (IBM, Apple), electronics (GE, Sony),
appliances (Maytag, Kitchen Aid), cars (Porsche, Volvo), beverages (Diet Coke,
Calistoga) and athletic shoes (LA Gear, Adidas).
2. A Likert scale was preferred over a semantic-differential scale because the objective of
this study was to determine the extent to which a brand can be described by certain
human characteristics (i.e., brand personality content and strength), rather than to
determine when brands are associated with negative versus positive personality
characteristics (i.e., brand personality valence).
3. Although at least nine traits loaded on each of the first five factors, only three traits
loaded on the sixth ("special," "classic," and "tasteful") and seventh ("big," "successful,"
and "leader") factors. No traits loaded on any remaining factors. More detailed
information as well as the raw correlation matrix and factor scores are available from
the author.
4. These names were chosen after the second measurement phase but are reported here
to simplify the terminology used. Three of these names were represented in trait form in
the five dimensions (sincere, exciting, and rugged).
5. In this clustering procedure, the trait with the highest item-to-total correlation within a
facet was identified and formed the nucleus of the first cluster. Then, the traits that were
correlated most highly with the nucleus trait were identified (r > .90), forming the first
cluster in the facet. Next, the nucleus for the second cluster was obtained by identifying
the trait with the next highest item-to-total correlation in the facet. Traits with relatively
high correlations with the second nucleus and relatively low correlations (r < .89) with
the first nucleus were then identified to form the second cluster. This procedure was
repeated until all clusters of the facet were identified (which was three clusters for 13 of
the facets and four for the remaining 2 facets, with only one trait in the final fourth
cluster). For more details, see Church and Burke (1994).
6. The chi-square is of limited value in this context and greater weight should be given to
other fit statistics "because [the chi-square statistic] is sensitive to sample size and can
lead to a rejection of a model differing in a trivial way from the data" (Bagozzi and
Heatherton 1994, p. 45).
Table 1 FOUR BRAND GROUPS OF TEN BRANDS
Legend for Chart:
A - Brand Group 1
B - Brand Group 2
C - Brand Group 3
D - Brand Group 4
A B
C D
Crest toothpaste Kodak fil
Lego toys Cheerios cereal
Campbell's soup Hershey's candy bar
Hallmark cards Mattel toys
Kmart stores Pepsi Cola soft drinks
Lee jeans Saturn automobiles
Retno Yustini W. 05/1770/PS 14
Porsche automobiles Oil of Olay lotion
Charlie perfume Guess? jeans
Reebok athletic shoes AMEX credit cards
ESPN station Nike athletic shoes
Michelin tires Sony television
AT&T phone service CNN station
Diet Coke cola Advil pain reliever
Apple computers Revlon cosmetics
MTV station MCI telephone service
Avon cosmetics McDonald's restaurants
IBM computers Mercedes automobiles
Lexus automobiles Visa credit cards
Levi's jeans Levi's jeans
Levi's jeans Levi's jeans
Table 2 FIVE DIMENSIONS OF BRAND PERSONALITY
Legend for Chart:
A - Name
B - Dimension
C - Variance Explained
D - Eigenvalue
E - Traits with Highest Item-to-Total Correlations
A B C D
E
Sincerity 1 26.5% 31.4
Domestic, honest, genuine, cheerful
Excitement 2 25.1% 27.9
Daring, spirited, imaginative, up-to-date
Competence 3 17.5% 14.2
Reliable, responsible, dependable, efficient
Sophistication 4 11.9% 9.2
Glamorous, pretentious, charming, romantic
Ruggedness 5 8.8% 6.7
Tough, strong, outdoorsy, rugged
Table 3 CONFIRMATORY SAMPLE OF BRANDS
Marriott hotels Holiday Inn hotels Retno Yustini W. 05/1770/PS 15
Macy's stores Sears stores
The Wall Street Journal newspapers USA Today newspapers
Liz Claiborne clothing Benetton clothing
Marlboro cigarettes Virginia Slims cigarettes
Maytag appliances KitchenAid appliances
Metropolitan Life insurance Prudential insurance
Taster's Choice coffee Maxwell House coffee
Bic razors Gillette razors
Newsweek magazines People magazines
Appendix A A BRAND PERSONALITY SCALE (Means and Standard
Deviations)[*]
Legend for Chart:
A - Traits
B - Mean
C - Standard Deviation
D - Facet
E - Facet Name
F - Factor Name
G - Mean
H - Standard Deviation
A B C D E
F G H
down-to-earth 2.92 1.35 (1a) Down-to-earth
Sincerity 2.72 .99
family-oriented 3.07 1.44 (1a) --
-- -- --
small-town 2.26 1.31 (1a) --
-- -- --
honest 3.02 1.35 (1b) Honest
-- -- --
sincere 2.82 1.34 (1b) --
-- -- --
real 3.28 1.33 (1b) --
-- -- --
wholesome 2.81 1.36 (1c) Wholesome
-- -- --
original 3.19 1.36 (1c) --
-- -- --
cheerful 2.66 1.33 (1d) Cheerful Retno Yustini W. 05/1770/PS 16
-- -- --
sentimental 2.23 1.26 (1d) --
-- -- --
friendly 2.95 1.37 (1d) --
-- -- --
daring 2.54 1.36 (2a) Daring
Excitement 2.79 1.05
trendy 2.95 1.39 (2a) --
-- -- --
exciting 2.79 1.38 (2a) --
-- -- --
spirited 2.81 1.38 (2b) Spirited
-- -- --
cool 2.75 1.39 (2b) --
-- -- --
young 2.73 1.40 (2b) --
-- -- --
imaginative 2.81 1.35 (2c) Imaginative
-- -- --
unique 2.89 1.36 (2c) --
-- -- --
up-to-date 3.60 1.30 (2d) Up-to-date
-- -- --
independent 2.99 1.36 (2d) --
-- -- --
contemporary 3.00 1.32 (2d) --
-- -- --
reliable 3.63 1.28 (3a) Reliable
Competence 3.17 1.02
hard working 3.17 1.43 (3a) --
-- -- --
secure 3.05 1.37 (3a) --
-- -- --
intelligent 2.96 1.39 (3b) Intelligent
-- -- --
Retno Yustini W. 05/1770/PS 17
technical 2.54 1.39 (3b) --
-- -- --
corporate 2.79 1.45 (3b) --
-- -- --
successful 3.69 1.32 (3c) Successful
-- -- --
leader 3.34 1.39 (3c) --
-- -- --
confident 3.33 1.36 (3c) --
-- -- --
upper class 2.85 1.42 (4a) Upper class
Sophistication 2.66 1.02
glamorous 2.50 1.39 (4a) --
-- -- --
good looking 2.97 1.42 (4a) --
-- -- --
charming 2.43 1.30 (4b) Charming
-- -- --
feminine 2.43 1.43 (4b) --
-- -- --
smooth 2.74 1.34 (4b) --
-- -- --
outdoorsy 2.41 1.40 (5a) Outdoorsy
Ruggedness 2.49 1.08
masculine 2.45 1.42 (5a) --
-- -- --
Western 2.05 1.33 (5a) --
-- -- --
tough 2.88 1.43 (5b) Tough
-- -- --
rugged 2.62 1.43 (5b) --
-- -- --
* Based on n = 9, 910
Figure 1: A BRAND PERSONALITY FRAMEWORK
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~~~~~~~~
By JENNIFER L. AAKER
Jennifer Aaker is Assistant Professor of Marketing. Anderson School of Management,
University of California, Los Angeles. The author gratefully acknowledges the help of Richard
Bagozzi, Lauren Block, Susan Broniarczyk, Lee Cooper, Gavan Fitzsimons, Jim Lattin, Durairaj
Maheswaran, Don Morrison, Bernal Schmitt. the editor, and the reviewers; as well as Andre
Richards, David Spengler, and Steve Goldstein at Levi-Strauss, who provided the funding for
much of this research, Great amounts of thanks to Kevin Lane Keller who provided insight and
support at each stage of this research.
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