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BRAND FAMILIARITY AND ADVERTISING: EFFECTS ON THE EVOKED SET AND BRAND PREFERENCE William Baker, University of Florida J. Wesley Hutchinson, University of Florida Danny Moore, Burke Marketing Services, Inc. Prakash Nedungadi, University of Toronto INTRODUCTION It is a well known fact that brand awareness, or familiarity, and brand choice are highly correlated (Axelrod 1968; Haley and Case 1979). This relationship undoubtably reflects the fact that choice increases awareness, if for no reason other than people will be exposed to the brands they choose more often than brands they leave on the shelf. Of greater interest is the proposition that brand awareness plays some causal role in the choice process. This is implied by the classic hierarchy of effects model of advertising effectiveness (Lavidge and Steiner 1961; Palda 1966) as well as the low involvement hierarchy proposed by Ray, Sawyer, Rothschild, Roger, and Reed (1973). In this paper we explore the theoretical and empirical bases of this proposition. The Brand Familiarity Construct In order to facilitate the present discussion, we will adopt a very particular working definition of brand familiarity and examine its viability. DEFINITION. Brand familiarity is a unidimensional construct that is directly related to the amount of time that has been spent processing information about the brand, regardless of the type or content of the processing that was involved. Thus, brand familiarity is the most rudimentary form of consumer knowledge. Moreover, this definition specifically assumes that brand familiarity is context- independent and is affected in more or less the same way by advertising exposures, purchase behavior, and product consumption or usage. This seems to be the simplest definition possible and is therefore a reasonable starting point for our investigation. In the remainder of this paper we examine two principal ways in which brand familiarity might affect brand choice: (1) by increasing the likelihood that the brand is included in the evoked set, and (2) by contributing to brand preference. BRAND FAMILIARITY AND THE EVOKED SET Wright and Barbour (1975) list three stages of a consumer decision - defining the pool of alternatives, reviewing relevant information in memory and applying a decision rule. The pool of alternatives has been referred to as an evoked or consideration set (Howard and Sheth 1969; Urban 1975). Evidence suggests that while consumers may have knowledge of a large number of brands in a product class, they may consider only a few of these for purchase on any particular occasion Bettman and Park 1980; Lussier and Olshavsky 1979). The composition of such an evoked set has important influences on subsequent probabilities of brand choice. First, a brand that is not considered cannot be chosen. Further, probability of choice is a function of both the number and nature of the other brands included in the evoked set (e.g., agenda effects, Tversky 1972). It is, therefore, important to examine in

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BRAND FAMILIARITY AND ADVERTISING: EFFECTS ON THE EVOKED SET AND BRAND PREFERENCE

William Baker, University of Florida

J. Wesley Hutchinson, University of Florida

Danny Moore, Burke Marketing Services, Inc.

Prakash Nedungadi, University of Toronto

INTRODUCTION

It is a well known fact that brand awareness, or familiarity, and brand choice are highly correlated (Axelrod 1968;

Haley and Case 1979). This relationship undoubtably reflects the fact that choice increases awareness, if for no

reason other than people will be exposed to the brands they choose more often than brands they leave on the

shelf. Of greater interest is the proposition that brand awareness plays some causal role in the choice process.

This is implied by the classic hierarchy of effects model of advertising effectiveness (Lavidge and Steiner 1961;

Palda 1966) as well as the low involvement hierarchy proposed by Ray, Sawyer, Rothschild, Roger, and Reed

(1973). In this paper we explore the theoretical and empirical bases of this proposition.

The Brand Familiarity Construct

In order to facilitate the present discussion, we will adopt a very particular working definition of brand familiarity

and examine its viability.

DEFINITION. Brand familiarity is a unidimensional construct that is directly related to the amount of time that has

been spent processing information about the brand, regardless of the type or content of the processing that was

involved.

Thus, brand familiarity is the most rudimentary form of consumer knowledge. Moreover, this definition specifically

assumes that brand familiarity is context-independent and is affected in more or less the same way by

advertising exposures, purchase behavior, and product consumption or usage. This seems to be the simplest

definition possible and is therefore a reasonable starting point for our investigation. In the remainder of this paper

we examine two principal ways in which brand familiarity might affect brand choice: (1) by increasing the

likelihood that the brand is included in the evoked set, and (2) by contributing to brand preference.

BRAND FAMILIARITY AND THE EVOKED SET

Wright and Barbour (1975) list three stages of a consumer decision - defining the pool of alternatives, reviewing

relevant information in memory and applying a decision rule. The pool of alternatives has been referred to as an

evoked or consideration set (Howard and Sheth 1969; Urban 1975). Evidence suggests that while consumers

may have knowledge of a large number of brands in a product class, they may consider only a few of these for

purchase on any particular occasion Bettman and Park 1980; Lussier and Olshavsky 1979). The composition of

such an evoked set has important influences on subsequent probabilities of brand choice. First, a brand that is

not considered cannot be chosen. Further, probability of choice is a function of both the number and nature of the

other brands included in the evoked set (e.g., agenda effects, Tversky 1972). It is, therefore, important to

examine in some detail factors that determine inclusion of a brand in the consumer's evoked set.

Brands can be included in an evoked set either by being recognized in the environment (in the case of a

stimulus-based choice) or by being recalled from memory (in the case of memory-based choice; Bettman 1979;

Lynch and Srull 1982). In both instances, the cues available to the consumer could determine the set of brands

considered for choice. The traditional role ascribed to brand familiarity in such instances may be summarized in

the following propositions:

PROPOSITION 1: In stimulus-based choice situations, brand familiarity enables quicker and easier perceptual

identification of a brand and, therefore, facilitates inclusion in the evoked set.

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PROPOSITION 2: In memory-based choice situations, brand familiarity increases the probability of a brand being

recalled and, therefore, facilitates inclusion in the evoked set.

In the following sections we shall examine these propositions in greater detail.

Brand Recognition

Simple item familiarity, or strength, is no longer widely accepted as an explanation of recognition in the typical list

learning tasks frequently studied by psychologists (see Crowder 1976, ch. 11; Mandler 1981). However, it can be

argued that this is because the task requires items to be discriminated on the basis of the context at the time of

encoding (i.e., the list in which they occurred). This task does not seem especially relevant for determining which

brands will be included in a stimulus-based evoked set. More directly relevant are perceptual identification tasks,

such as reading words and naming objects. For instance, word recognition tasks typically present words in some

perceptually degraded fashion (e.g., visually masked, extremely brief duration, with missing letters, etc.) and

require subjects to read the word aloud or simply indicate whether, or not, it is an actual English word. It seems

plausible that the perceptual processes involved in such tasks are quite similar to those involved in quickly

scanning a store shelf for brands to consider.

One of the most influential accounts of word recognition has been the logogen model of Morton (1969). This

model originally assumed that words are represented by entities, called "logogens," that correspond to the

meaning constituents of words (i.e., morphemes). The appropriate logogens must be activated in order for a

given word to be identified and each activation lowers the threshold for subsequent activations. These lowered

thresholds were intended to account for the fact that previous exposures to a word facilitate later word

recognition (referred to as a "priming" effect). Thus, the logogen model provides a natural theoretical basis for

brand familiarity on perceptual identification.

A number of recent empirical findings have questioned the validity of the logogen model, however. Morton (1979)

found that facilitation occurred only at input. Specifically, if a subject was given the definition of a word and asked

to produce the word in response. this did not facilitate later recognition of the word when visually presented.

Further, he found that priming in the auditory modality did not generate facilitation in the visual modality. Morton

(1979) extended his model by separating the input and output systems and by hypothesizing that the logogens

for each modality were independent and distinct.

Recent research has fount, however, that priming effects can be even more context-specific. Of special interest is

the finding that changes in the surface features of the stimulus, such as upper vs. lower case letters or identical

vs. similar pictures of the same object, can significantly reduce the effectiveness of priming (Jacoby and Brooks

1984). This effect is most evident when initial processing is merely perceptual and does not involve naming the

stimulus. We suspect that such merely perceptual processing is also more characteristic of advertising

exposures. Some authors have interpreted this evidence as supporting the idea that the cognitive procedures in

operation during encoding form some part of the memory trace (see Jacoby and Brooks 1984; Kolers and

Roedigger 1984; Tulving 1984, 1985). Thus, advertising exposures will be most effective if the viewer engages in

the same mental operations that will be required at the time of purchase (e.g., comparing brands, recognizing

packaging and store displays, etc.).

The above information should not be overinterpreted. There is still considerable evidence that context

independent familiarity can affect perceptual identification (again see Jacoby and Brooks 1984). What has been

learned from recent research is that this is not the only, or even dominant, source of familiarity effects on

perceptual identification. In fact, context independent familiarity may simply be the aggregate result of many

context-specific traces. Such context-specific traces may correspond to lower-order logogens (Morton 1979),

episodic memories (Jacoby and Brooks 1984; Tulving 1984, 1985), or activation patterns in a distributed memory

network (McClelland and Rumelhart 1985).

Brand Recall

Most current accounts of recall postulate that information in memory is accessed via retrieval cues (Crowder

1976). Such cues may originate in the immediate environment, or they may be internally generated by the

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individual. In general, two types of retrieval cues could render a brand accessible on a particular choice occasion:

(l) specific attributes or benefits, and (2) product class cues.

Specific attributes or benefits. Recent research on the usage situation suggests that a large percentage of

variance in choice may be accounted for by considering the situation in which the product is purchased or

consumed (e.g., Belk 1975; Day, Shocker and Srivastava 1979; Ptacek and Shanteau 1979. Currently, usage

situations are believed to influence consumer choice by altering the importance weights of attributes in a

multiattribute framework (e.g., Miller and Ginter 1979). In addition to affecting attribute utilities the usage situation

exerts an important influence on choice by providing retrieval cues, specific to the situation. A consumer faced

with product choice in a usage situation makes use of these retrieval cues to recall and consider brands strongly

associated with them. Thus, for the product class of beverages, the usage situation of "lunch" may render the

attributes "light" and "refreshing" salient, while the usage situation of "a wild party" may render "mixable with

alcohol" and "popularity" salient. In both situations, beverages high on these attributes will be retrieved sod

included in the evoked set.

As this discussion suggests, whenever situation specific cues trigger retrieval, a general familiarity with the brand

may not be as important as familiarity with the brand in that situation. A beverage that is not "light and refreshing"

may never be recalled in the context of lunch, although the consumer may be very familiar with it. On the other

hand, a beverage with which the consumer is less familiar may have a higher probability of being recalled merely

because it is perceived as being light and refreshing. As discussed earlier, the probability of retrieval will then

have important influences on the probability of final choice. In many instances then, situation-specific familiarity

may exert a greater influence on probability of choice than brand familiarity in general.

In an exploratory study subjects were given usage situational cues and asked to list the brands that came to

mind, within specific product classes. Low correlations were obtained for probability of brand recall across

situations, specially when the most salient or familiar brands were excluded from the analysis. The study was

replicated across a number of product classes. While one or two major brands (e.g., McDonalds in the case of

restaurants, Coke in the case of non-alcoholic beverages, or Burdines and Sears in the case of stores), tended to

be recalled consistently whenever the product class was mentioned, probability of recall of other brands tended

to be driven by situational cues. This suggests that except in the case of extremely familiar brands such as Coke,

overall brand familiarity mag influence recall less than context-specific considerations. Further work is in progress

to study the important role of contextual cues on choice (Nedungadi 1985).

Brand familiarity, devoid of context may still play an important role in retrieval in a number of instances. This is

most certainly the case in product classes where the usage-situation does not account for large amounts of

variance in choice. In addition, cues other than attributes sought often guide retrieval in a purchase context.

Product-class cues. The product class or subcategory to which the brand belongs could serve as a retrieval cue

in many instances. A consumer may seek a "fruit juice" to have with a meal or a "soda" to mix with alcohol.

Research on categorization processes has established the importance of "prototypicality" as a determinant of the

strength of association between a category concept and members of the category (e.g., Rosch 1975; Smith &

Medin 1981). Prototypicality of a brand is a measure of how representative the brand is of its product category.

Operationally, prototypicality is measured by individuals' ratings of how "good an example" they consider the

object of a category. When the product class serves as a retrieval cue, brands that are prototypical are likely to

be recalled faster and more often (Nedungadi and Hutchinson 1985; also see Barsalou 1985; Rosch and Mervis

1975). This should lead to a higher probability of inclusion in the evoked set and probably to higher probability of

choice.

Research on typicality has examined the influence of overall familiarity on representativeness. Ashcraft (1978)

and Malt and Smith (1982) found that typicality increased as exemplars became more familiar. However,

Barsalou (1985) compared the relative effects of overall familiarity (subjective estimates of frequency of

encounter across all contexts) and context-specific frequency (subjective estimates of the frequency of category

instantiation) information on prototypicality ratings and output dominance (frequency of production) of category

members. Frequency of instantiation was found to be a better predictor of both prototypicality and output

dominance than overall familiarity, across a large number of categories. In addition, an exemplar's similarities to

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the "average" and the "ideal" members of the category were found to be independently correlated with both

measures.

BRAND FAMILIARITY AND PREFERENCE

This section of the paper will explore two processes by which brand familiarity may directly mediate choice

behavior through brand preference formation. The first of these processes is the exposure effect which is directly

related to Zajonc's (1968) mere exposure hypothesis. The second of these processes is the frequency effect

which is derived directly from the automatic frequency counting mechanism proposed by Hasher and Zacks

(1984).

In the present section we explore two propositions related to this thesis:

PROPOSITION 3: Brand familiarity generates a positive affective response to the brand that requires no effortful

information processing, only brand perception. This affect may serve as an input to brand choice.

PROPOSITION 4: Brand familiarity can directly mediate choice behavior, but only when mediators which are the

product of higher level information (i.e., performance attributes) are not available or cannot discriminate between

brand alternatives.

The Exposure Effect

Zajonc (1968) has demonstrated that exposure to a stimulus can enhance the liking for that stimulus

independently of cognitive evaluations or contextual associations. Basically, this stream of research has

demonstrated that affect is a linear function of the logarithm of exposure frequency (see Harrison 1977). So, as

exposure to a brand increases affective reactions to the brand become more favorable.

Zajonc takes the extreme position that the exposure effect can mediate liking without increasing subjective

recognition, the perception of being more familiar with the stimulus object. Causal path analyses demonstrating

significant mediational effects of exposure beyond subjective recognition (Moreland and Zajonc 1977, 1979) and

experimental evidence of the effect occurring without subjective recognition (Wilson 1979) provide the supporting

evidence for this position (Wilson 1979). The Moreland and Zajonc research, however, has been convincingly

critiqued (see Birnbaum and Mellers 1979) and attempts to replicate the Wilson results have failed (Obermiller

1985).

Thus, while there is strong, consistent evidence of an exposure effect mediated by perceived familiarity with the

stimulus, there is contradictory evidence regarding the mere exposure hypothesis. The key point for marketers is

that subjective familiarity does mediate the exposure effect (Obermiller 1985; Stang 1975; Moreland and Zajonc

1977) and that brand directed attention without elaboration will generate this subjective familiarity (Obermiller

1985; Greenwald and Leavitt 1984).

Potential Causes of Exposure Induced Preference. The cause of the exposure effect is likely to be closely linked

with the concept of stimulus habituation (Harrison 1977; ZaJonc 1968, 1980; Berlyne 1970). Essentially, novel

stimuli generate high levels of arousal that trigger an avoidance response. Repeated exposure decreases

arousal, facilitating stimulus habituation, affect formation, and an approach tendency.1 Therefore, the exposure

effect may be considered a very basic, adaptive mechanism that on the basis of prior encounters tells us what is

and is not safe to approach. Stimuli which have been encountered many times without ill effects are safer and,

hence, more approachable than new, untested stimuli. In a marketing context, this approach may be perceived

by consumers as perceived risk or what Obermiller (1985) refers to as uncertainty reduction, a component of

perceived risk.

The unique factor in this "persuasion process" is the absence of any required cognitive or contextual elaboration

to generate the affective response. The response occurs effortlessly and automatically as a natural consequence

of exposure. Cognitive requirements are limited to stimulus-directed focal attention (Greenwald & Leavitt 1984).

Thus, the exposure effect may be a product of the automatic processing system (Posner and Snyder 1975;

Schiffrin & Schnelder 1977; Bargh 1984).

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The Frequency Effect

Research by Hasher and Zacks (1984) suggests another process by which brand familiarity may mediate brand

preference. It suggests that effects of automatic processing can provide the input to evaluative inferences

consumers draw about brands. This research strongly suggests that an automatic frequency counting

mechanism exists in memory. Basically, the mechanism effortlessly provides relative frequency information which

can be the basis for consumer inference-making (i.e., "I've seen this more than other brands. It must sell well. It

must be good. I'll buy it").

It requires only focal attention to operate and is not facilitated by higher order cognitive processing. This

mechanism, like the habituation effect, is adaptive in that it allows individuals to effortlessly assess the subjective

probability of one event over another. To differentiate this process from the exposure effect, it will be dubbed "the

frequency effect".

Like the habituation process, the automatic accessibility of frequency information is adaptive in that it allows

individuals to effortlessly assess the subjective probability of one event over another and to react accordingly.

And, like the habituation process, it requires only sufficient attention to generate brand perception to operate.

The key difference between this process and the exposure effect is the cognitive requirement of a deliberate,

prechoice evaluative inference based on the accessed frequency information. The amount of cognitive effort

required to generate an evaluation through this process is greater than the exposure effect because it explicitly

requires comprehension of the source of the affect (the frequency information) and an evaluative inference

derived from that source. The evaluation generated by the exposure effect requires no such inference, only

retrieval of affect.

Given this difference, from a marketing point of view the exposure effect may be operative when consumers are

completely uninvolved in the decision process, while the latter process may be accurate when consumers are

more involved, but either have no substantive information on which to judge alternatives or perceive no difference

between alternatives on available information.

Moderators of Brand Familiarity Effects

Empirical research suggests that the duration of attention, not the number of prior exposures facilitates the

exposure effect. Crandall (1972) demonstrated an exposure-effect relationship at two exposures when exposure

duration potential was 50 minutes. At the other extreme Zajonc, Crandall and Rail (1974) did not find evidence of

a significant exposure effect until a frequency of 243 exposures when the exposure duration was a fraction of a

second.

Research by Obermiller (1985) suggests that the exposure effect is also facilitated by attentional strength. In this

research, a greater average liking for brands occurred when attention towards the stimulus was facilitated rather

than distracted. When cognitive elaboration (e.g., stimulus is not only perceived, but is given meaning) of the

stimulus was facilitated, however, average liking decreased. Thus, the level of focal attention increases the

strength of exposure-induced brand liking, but cognitive elaboration is inhibitory. This finding is consistent with

the principle of higher order dominance which asserts that effects of elaboration (e.g., formation of performance

beliefs) inhibit effects of focal attention (e.g., effortlessly retrieved affect) on brand evaluation (Greenwald and

Leavitt 1984).

In summary, the exposure effect seems to be mediated by attentional duration and attentional level, not the rate

of exposure and not by cognitive elaboration of the stimulus. Therefore, if the communication goal is facilitation of

the exposure effect, then advertising should be designed to maintain focal attention towards the brand name or

package without causing the consumer to negatively elaborate on the message. In contrast, if the communication

goal is facilitation of the frequency effect, then the critical determinant of advertising success is to have more total

exposures than the competition. Since the frequency effect operates through the automatic counting mechanism

(Hasher and Zacks 1984), attentional strength and duration are irrelevant. Advertisements which are short, but

effective in generating sufficient attention to cause brand perception will operationalize this strategy at the

minimum cost in advertising dollars.

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Attitudinal Versus Choice Effects

Since brand attitude formation does not require explicit interbrand comparisons, the absolute level of affect

generated by brand familiarity will directly influence the level of brand liking. Except in the cases of habitual

purchase behavior, however, brand choice explicitly requires interbrand comparisons. Thus, the relative level of

brand familiarity among brand alternatives is the critical independent variable. The extent of the comparison is

dependent on factors such as prior product class knowledge and decision involvement (Bettman 1979; Bettman

and Park 1980).

With regard to the exposure effect, the nature of the exposure-frequency function suggests that both absolute

and relative effects may be difficult to achieve if the brand(s) involved in the evaluation have high brand familiarity

prior to subsequent exposures (Harrison 1977. In these cases, brand position on the frequency-affect curve may

be at the asymptote. In the case of brand attitude, increased exposure may not be sufficient to generate a

perceivable change in affect. In the case of brand choice, increased exposure may not create greater liking of a

brand over an alternative. This suggests that the viability of the exposure effect as a communication goal may be

limited to situations where subjective brand familiarity of the advertised brand is not on the asymptote of the

frequency-affect curve.

With regard to the frequency effect, perceivable between brand differences in exposure-based habituation is not

the issue. Operation of the frequency effect depends only on the recognition-that one brand has been seen more

than another. The only requirement for an effect on either choice or attitude is that the difference in frequency of

exposure between alternatives is large enough to perceive. The required size of this difference as total frequency

of exposure increases among all alternatives is an empirical issue (e.g., 5 versus 1 exposure is very noticeable,

but is 105 versus 101 exposures perceptible).

Evidence Directly Relevant to Marketing Applications

If brand familiarity can motivate purchase behavior. then it must be considered to be a viable marketing

communications strategy in and of itself. Validation of brand familiarity effects in marketing contexts and the

establishment of their limits are prerequisites to strategic applications. Below, evidence relating to marketing

applications of brand familiarity is briefly reviewed.

Three early experiments that tested the generalizability of the exposure effect provided the first evidence that

brand familiarity can directly mediate consumers' purchase decisions. First, "advertisements" consisting solely of

Turkish words were placed in a school newspaper. Exposure frequency mediated attitude toward the words

(Zajonc and Rakecki 1959). Second, nonsense syllables were differentially exposed to subjects and

subsequently identified with boxes containing nylon stockings. Exposure generated familiarity significantly

influenced brand preference and brand choice (Becknell, Wilson and Baird 1963). Finally, posters of fictitious

candidates were placed about a university campus in varying frequency. No information other than the candidate

names and the contested elected position were on the posters. Students who had seen the posters most

frequently were most likely to vote for the most publicized candidates (Stang 1974, in Harrison 1977).

These three studies are important because they demonstrate that (l) brand name familiarity is a sufficient

condition to enhance brand attitudes and brand choice and (2) that these effects occur in natural settings. One

limiting characteristic of all three studies, however, is that no information was available to form evaluations other

than exposure related information. Thus, these experiments support the potential for brand name familiarity

based marketing strategies, but they were achieved in informationally spargee decision environments.

Recent studies have attempted to generalize effects of brand name familiarity into decision contexts where other

evaluative information is present. Using an advertising format, Moore and Hutchinson (1985), measured subjects'

reactions to affective associates to the brand (e.g., advertising background visuals) and levels of brand

familiarity. Two days after exposure to advertisements, subjects' reactions to the ads' affective associates were

the strongest mediators of brand liking. One week after exposure, however, brand name familiarity ratings were

the dominant attitudinal mediator. The pattern of findings strongly suggests that brand name familiarity became

the dominant mediator in delay because affective reactions to the ads were forgotten.

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In another advertising experiment, subjects were provided brand attribute information, affective associations to

the brand, and varying levels of brand name exposure (Baker 1985). Significant effects of brand name familiarity

on purchase intention occurred, but like Moore and Hutchinson (1985), only after a week's delay from

advertisement exposure. Interestingly, the significant effects of brand name familiarity occurred only when (l) the

accessibility of advertisement execution information and brand attribute information was at its lowest level and (2)

relative brand name familiarity (brand name familiarity relative to competing brand alternatives) was at its highest

level.

Evidence from these two experiments suggests that if meaning is conferred to the stimulus through a complex

cognitive process such as attribute belief formation (Lutz 1975) or simple process such as source evaluation

(Petty, Cacioppo and Schumann 1983; Sternthal, Dholakia and Leavitt 1978; Holbrook 1978), then the direct

effects of brand name familiarity on evaluation will be attenuated. The findings are consistent with the principle of

higher order dominance (Greenwald and Leavitt 1984).

On the positive side, both sets of the results also suggest that higher order effects of advertising decay much

more rapidly than effects of brand familiarity. This suggests that when information from advertisements are not

effortfully integrated into brand memory structures, simple effects such as brand familiarity may dominate

advertising-based brand evaluation, especially if there is any significant delay between the time of message

exposure and brand evaluation.

Finally, neither the Moore and Hutchinson (1985) nor the Baker (1985) experiments provided evidence to

discriminate whether the exposure effect or the frequency effect was the operative brand familiarity based

process. Future research rust (1) empirically discriminate between these processes and (2) identify the factors

that determine which of these processes will be operative in a given situation.

The Viability of Brand Familiarity Based Strategies

Given the evidence to date, it appears that brand familiarity is a viable independent mediator of brand liking and

choice, but only in limited decision contexts. If sources of evaluation (i.e., brand attribute beliefs or source

credibility) which require greater information processing intensity are not accessible or cannot discriminate

between brand alternatives, then brand familiarity may be a viable marketing communications strategy. Two likely

indicators of these types of situations are product class knowledge and decision involvement.

When a consumer has no prior product class knowledge then by definition there can be no memory-based

opportunity for higher order knowledge to inhibit the accessibility of exposure-based affect (Greenwald and

Leavitt 1984; Bargh 1984). And, if decision involvement is so low that automatically retrieved affect is likely to be

the only input into the preference formation process at the point of decision, then facilitation of the exposure

effect may be a viable advertising strategy.

If on the other hand, prior knowledge exists and is likely to be accessed and there is sufficient decision

involvement to expect cognitive elaboration in the decision process, but there is no perceived difference between

brand alternatives on performance dimensions, the facilitation of the frequency effect may be a viable advertising

strategy.

CONCLUDING REMARK

The thesis explored in this paper is that brand familiarity exerts important effects on brand choice. The magnitude

of brand familiarity effects and the processes mediating such effects have received little empirical and theoretical

attention. The intent of the present paper was to discuss mechanisms that may account for familiarity effects and

to examine the generality of such effects. After examining relevant literature we are led to the conclusion that

brand familiarity is a viable, albeit limited, marketing tool for influencing consumer decisions.

Brand familiarity is likely to: 1) Enhance perceptual identification of a brand, 2) increase the probability of

inclusion in the evoked set, 3) generate positive affect toward the brand, and 4) motivate purchase behavior. The

primary caveat to these conclusions is that brand familiarity effects may be highly context dependent.

Specifically, perceptual identification will be impaired if cues present in the environment during purchase do not

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match those present during previous exposures to the brand. Evoked sets are dependent upon the usage

situation and hence, inclusion in the evoked set will be determined more by brand/situation associations than by

overall familiarity with the brand. Finally, brand familiarity is unlikely to exert a robust effect on consumers' brand

attitudes and decisions when extensive product knowledge is available or when involvement is high.

FOOTNOTE

1. Berlyne (1970) theorized that novelty is pleasing, but familiarity is not. This is clearly a direct contradiction of

the exposure effect thesis. Berlyne developed a two-factor theory of exposure effects. The first factor is stimulus

habituation, which mediates positive affect. The second factor is tedium/irritation and leads to attitude

attenuation. Berlyne argues that initial exposure leads to a positive habituation, but continued exposure promotes

tedium/irritation, which attenuates affect. This process describes an inverted U-shaped relationship between

exposure and affect.

The two factor process explanation is not really inconsistent with the exposure effect. The difference is in factor

emphasis, which has led to different framework conceptualizations. Berlyne observed a large effect of

tedium/irritation and gave the effect status equal to the habituation effect in his model. Exposure effect supporters

view habituation-based affect as the "true" effect and consider situational tedium a moderator of the fact. The

position taken in this paper is that the one-factor exposure effect model not only offers the most parsimonious

explanation of exposure-based affect, but is also more relevant to explaining advertising exposure effects

because:

1. It centers on the relationship between the stimulus and the individual, which is a central marketing concern.

Situational irritation is an association to the stimulus, but not a reaction to the stimulus itself.

2. The effect of the tedium/irritation factor is apparently short-lived relative to the effect of familiarity. The

temporary nature of irritational effects suggests its role is an exposure effect moderator rather than a central

factor in the model.

REFERENCES

Ashcraft, M. H. (1978), "Property Norms for Typical and Atypical Items from 17 Categories: A Description and

Discussion", Memory & Cognition, 6, 227-232.

Axelrod, J. N. (1968), "Advertising Measures that Predict Purchase," Journal of Advertising Research, 8, 3-17.

Baker, William E. (1985), "Advertising Generated Brand Evaluation: A Memory Based Information Processing

Perspective." (Master's Thesis: University of Florida.)

Bargh, John A. (1984), "Automatic and Conscious Processing of Social Information," in Handbook of Social

Cognition, Vol. 3, eds. Robert S. Wyer, Jr. and Thomas K. Srull, 1-43.

Barsalou, L. W. (1985), "Ideals, Central Tendency and Frequency of Instantiation as Determinants of Grated

Structure in Categories", Journal of Experimental Psychology: Learning, Memory and Cognition, 11, 4, 629-654.

Becknell, J. C., W. R. Wilson and J. C. Baird (1963), "The Effect of Frequency of Presentation on the Choice of

Nonsense Syllables." Journal of Psychology 56, 165-170.

Belle, R. W. (1975), "Structural Variables and Consumer Behavior", Journal of Consumer Research, 2, 157-64.

Berlyne, D. E. (1970), "Novelty, Complexity and Hedonic Value." Perception and Psychophysics 8, 279-285.

Bettman, J. R. (1979), An Information Processing Theory of Consumer Choice, Reading, MA: Addison-Wesley

Publishing Co.

Bettman, J. R. and C. W. Park (1980), "Effects of Prior Knowledge and Experience and Phase of the Choice

Process on Consumer Decision Processes: A Protocol Analysis", Journal of Consumer Research, 7, 234-248.

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Birnbaum, Michael H. and Barbara A. Mellers (1979), "Stimulus Recognition May Mediate Exposure Effects."

Journal of Personality and Social Psychology 37, 391-394.

Crandall, Rich (1972), "Field Extension of the Frequency-Affect Findings." Psychological Reports 31, 371-374.

Crowder, Robert G. (1976), "Principles of Learning and Memory", Hillsdale, NJ, Erlbaum.

Day, George, Allan D. Shocker and R. K. Srivastava (1979), "Identifying Competitive Product Markets: A Review

of Customer Oriented Approaches," Journal of Marketing, 43, 8-19.

Greenwald, Anthony and Clark Leavitt (1984), "Audience Involvement in Advertising: Four Levels." Journal of

Consumer Research 11 (June), 581-592.

Haley, R. 1. and P. B. Case (1979), "Testing Thirteen Attitude Scales for Agreement and Brand Discrimination

Journal or Marketing, 43, 20-32.

Harrison, Albert A. (1977), "Mere Exposure." In Leonard Berkowitz, ed. Advances in Experimental Social

Psychology (New York, NY: Academic Press).

Hasher, Lynn and Rose T. Zacks (1984), "Automatic Processing of Fundamental Information." American

Psychologist, 39 (December), 1372-1388.

Holbrook, Morris B. (1978), "Beyond Attitude Structure: Toward the Informational Determinants of Attitude."

Journal of Marketing Research 15 (November), 545-56.

Howard, J. A. and J. Sheth (1969), The Theory of Buyer Behavior, New York, Wiley.

Jacoby, Larry L. and Lee R. Brooks (1984), "Nonanalytic Cognition: Memory, Perception and Concept Learning,"

in ne Psychology of Learning and Motivation, Vol. 18 , ed. Gordon Bower, New York: Academic Press, 1-47.

Kolers, Paul A. and Roedigger (1984), "The Procedures of Mind," Journal of Verbal Learning and Verbal

Behavior, 23, 425-449.

Lavidge, Robert E. and G. A. Steiner (1961), "A Model for Predicting Measurements of Advertising

Effectiveness", Journal of Marketing, 25, 59-62.

Lussier, Denis A. and R. W. Olshavsky (1979), "Task CompLexity and Contingent Processing in Brand Choice",

Journal of Consumer Research, 6, 154-65.

Lutz, Richard J. (1975), "Changing Brand Attitudes Through Modification of Cognitive Structure." Journal of

Consumer Research 1 (March), 49-57.

Malt, B. C. and E. E. Smith (1982), "The Role of Familiarity in Determining Typicality," Memory and Cognition, 10,

69-75.

Mandler, George (1981), "The Recognition of Previous Encounters," American Scientist, 69, 211-218.

Miller, K. C. and J. L. Ginter (1979), "An Investigation of Situational Variance in Product Choice Behavior and

Attitudes," Journal of Marketing Research, 16, 111-123.

McClelland, James L. and Davit E. Rumelhart (1985), "Distributed Memory and the Representation of General

and Specific Information," Psychological Review, 114. 159- 188.

Moore, Danny L. and J. Wesley Hutchinson (1985), "The Influence of Affective Reactions to Advertising: Direct

and Indirect Mechanisms of Attitude Change." In L. Alwitt and A. A. Mitchell, eds. Psychological Processes and

Advertising Effects: Theory, Research and Application (Hillsdale, NJ: Erlbaum).

Page 10: New Microsoft Word Document

Moreland, Richard L. and Robert B. Zajonc (1977), "Is Stimulus Recognition a Necessary Condition for the

Occurrence of Exposure Effects?" Journal of Personality and Social Psychology 35, 191-199.

Moreland, Richard L. and Robert B. Zajonc (1979), "Exposure Effects May Not Depend on Stimulus Recognition."

Journal of Personality and Social Psychology 37, 1085-1089.

Morton, John (1969), "The Interaction of Information in Word Recognition." Psychological Review, 76, 165-178

Morton, John (1979), "Facilitation in Word Recognition: Experiments Causing Change in the Logogen Model," in

Processing of Visible Language, Vol. 1, eds. Paul A. Kolers, Merald E. Wrolstad and Herman Bouma, New York:

Plenum Press. 259-268.

Nedungadi, Prakash (1985), "Dynamics of Chice Set Formation: Implications for Marketing Strategy and

Research on Consumer Information Processing," dissertation in progress.

Nedungadi, Prakash and J. W. Hutchinson (1984), "The Prototypicality of Brands: Relationships with Brand

Awareness, Preference and Usage," in Advances in Consumer Research, eds. M. B. Holbrook and E. C.

Hirschman, Association for Consumer Research, 498-503.

Obermiller, Carl (1985), "Varieties of Mere Exposure: The Effects of Processing Style and Repetition on Affective

Response." Journal of Consumer Research 12 (June). 17-30.

Palda, K. S. (1966), "The Hypothesis of A Hierarchy of Effects: A Partial Evaluation," Journal of Marketing

Research, 8, 283-89.

Petty, Richard E., John T. Cacioppo and David Schumann (1983), "Central and Peripheral Routes to Advertising

Effectiveness: The Moderating Role of Involvement." Journal of Consumer Research 10 (September), 135-146.

Posner, M. I. and C. R. Snyder (1975), "Attention and Cognitive Control." In R. L. Solso et. Information

Processing and Cognition: The Loyola Symposium (Hillsdale. N.J.: Erlbaum).

Ptacek, C. H. and J. Shamteau (1979), "Situational Determinants of Consumer Decision Making," PsYchology

Report 78-4, Kansas State University.

Rosch, E. H. (1975), "Cognitive Representations of Sermantic Categories," Journal of Experimental Psychology:

General, 104, 192-233.

Rosch, E. H. and C. B. Mervis (1975), "Family Resemblances: Studies in the Internal Structure of Categories,"

Cognitive Psychology, 7, 573-605.

Ray, Michael L., Alan G. Sawyer, Michael L. Rothschild, M. Roger, and J. B. Reed (1973), "Marketing

Communications and the Hierarchy of Effects." In New Models for Mass Communications Research (Beverly

Hills, CA: Sage Publications, Inc.).

Ross, Leonard E. and Susan M. Ross (1976), "Cognitive Factors in Classical Conditioning." In W. K. Estes ed.

Handbook of Learning and Cognitive Processes, Vol. 3, (Hillsdale, N.J.: Lawrence Erlbaum Associates).

Schiffrin, R. M. and W. Schneider (1977), "Controlled and Automatic Human Information Processing: II.

Perceptual Learning, Automatic Attending and a General Theory." PsYchological Review 84, 127-190.

Smith, E. E. and D. L. Medin (1981), Categories and Concepts, Cambridge, Mass: Howard University Press.

Stang, David J. (1974), "Methodological Factors in Mere Exposure." Psychological Bulletin 81, 1014-1024.

Stang, David J. (1975), "Effects of 'Mere Exposure' on Learning and Affect." Journal of Personality and Social

Psychology 31, 7-12.

Page 11: New Microsoft Word Document

Sternthal, Brian, Ruby Dholakia and Clark Leavitt (1978), "The Persuasive Effect of Source Credibility: Tests of

Cognitive Response." Journal of Consumer Research 4 (March), 252-260.

Tversky, A. (1972), "Elimination by Aspects: A Theory of Choice," Psychological Review, 79, 281-99.

(The remaining references are available from the authors).