Abstract
The Exploratory Tendencies in Consumer Behavior Scales (ETCBS), developed by P. S. Raju in 1980, represents a foundational psychometric instrument designed to assess individual differences in consumer exploratory behavior driven by an underlying Optimum Stimulation Level (OSL). Recognizing that generalized psychological constructs of arousal-seeking, novelty-seeking, and curiosity often fail to capture the nuanced, domain-specific choices made in commercial environments, Raju operationalized consumer exploration across cognitive, sensory, and behavioral dimensions. The scale comprises 39 self-report items evaluated on a 7-point Likert scale, systematically organized into seven distinct subscales: Repetitive Behavior Proneness (RBP), Innovativeness / Novelty-Fashion Consciousness (NFC), Risk Taking (RT), Exploration Through Information Seeking (EIS), Interpersonal Communication (IC), Brand Switching (BS), and Exploration Through Browsing (EB). Across multiple empirical investigations, the instrument has exhibited robust psychometric properties, with internal consistency coefficients (Cronbach’s alpha) across subscales typically ranging between .65 and .84, alongside strong convergent validity with generalized sensation-seeking inventories and predictive validity regarding brand adoption, retail browsing patterns, and advertising engagement. As the reference instrument in consumer curiosity and variety-seeking research, the ETCBS bridges theoretical psychology and marketing science, providing empirical researchers and marketing practitioners with a diagnostic tool to examine how individual variations in stimulation preferences manifest in marketplace navigation, information acquisition, and brand loyalty.
Keywords
Exploratory Tendencies in Consumer Behavior Scales, ETCBS, Optimum Stimulation Level, OSL, Consumer Curiosity, Variety Seeking, Brand Switching, Sensation Seeking, Consumer Psychometrics, Information Seeking, Risk Taking Propensity, Retail Browsing.
Authors
The scale was developed by P. S. Raju, Ph.D., an eminent consumer behavior scholar and psychometrician who conducted this seminal research at the Department of Business Administration, University of Illinois at Urbana-Champaign, and subsequently served as a prominent faculty member at the Fox School of Business, Temple University. His pioneering research focused on consumer decision-making, marketing theory, retail atmospheric responses, and the intersection of human motivation and marketplace exploration.
Purpose
The primary objective of the Exploratory Tendencies in Consumer Behavior Scales (ETCBS) is to provide a reliable, multidimensional metric capable of diagnosing how consumers regulate their internal arousal levels through marketplace interactions. Prior to Raju’s (1980) work, consumer researchers predominantly relied on broad psychological instruments—such as Marvin Zuckerman’s Sensation Seeking Scale or the Change Seeker Index—to predict shopping, browsing, and product adoption patterns. However, these generalized personality tests suffered from substantial domain irrelevance, often asking participants about physical thrill-seeking, drug experimentation, or high-altitude sports, which yielded low predictive power when applied to everyday purchasing dilemmas, supermarket brand choices, or retail browsing preferences.
Raju developed the ETCBS to bridge this diagnostic gap by establishing a consumer-specific operationalization of exploratory behavior. Human beings possess an internal, homeostatically regulated baseline of arousal known as the Optimum Stimulation Level (OSL). When the environmental stimulation in daily life drops below this preferred threshold, individuals experience boredom, monotony, and cognitive stagnation, prompting compensatory exploratory behaviors designed to introduce novelty, complexity, uncertainty, and change. Conversely, when the environment is excessively turbulent or overstimulating, individuals deploy risk-averse, familiar, and habit-driven routines to down-regulate arousal back to a comfortable equilibrium.
In marketing contexts, this stimulation-seeking drive manifests through multiple observable behaviors. Some consumers seek arousal through cognitive stimulation (e.g., scouring consumer reports, reading food labels, or researching novel market offerings), while others elevate arousal through sensory or experiential immersion (e.g., window shopping, walking through retail aisles without immediate purchasing intent, or ordering exotic dishes at restaurants). Others satisfy their stimulation deficit through direct behavioral change, such as habitual brand switching or early adoption of unproven innovations. The ETCBS allows researchers to identify not merely whether an individual possesses a high stimulation drive, but precisely which behavioral channels that consumer prefers to utilize in the commercial arena.
From an applied perspective, the scale serves critical diagnostic purposes in commercial strategy and applied psychology:
- Market Segmentation: Identifying consumer segments prone to early brand adoption versus those anchored in repetitive, habit-driven purchase inertia.
- Retail and E-Commerce Atmospheric Design: Structuring retail store layouts, promotional displays, and digital navigation interfaces tailored to whether the target audience values exploratory browsing or swift, risk-mitigated transactions.
- Marketing Communications: Designing advertising campaigns that appeal to consumer information-seeking propensities, opinion leadership, and interpersonal word-of-mouth propagation.
- New Product Development: Predicting product trial rates for disruptive innovations versus line extensions based on the risk-taking and variety-seeking profiles of target demographics.
Psychological Construct
The psychological construct measured by the ETCBS is consumer exploratory behavior, defined as actions initiated by an individual in the marketplace motivated primarily by internal curiosity, the need for stimulation, or the desire for change, rather than strictly utilitarian necessity. Raju structured this broad construct into seven interrelated yet functionally independent behavioral dimensions:
1. Repetitive Behavior Proneness (RBP)
This dimension reflects a behavioral predisposition toward routine, brand inertia, and habituation. Individuals scoring high on RBP prefer familiar brand names, established retail environments, and standardized product choices to minimize cognitive effort and avoid unexpected surprises. In Raju’s framework, RBP acts as an inverse indicator of exploratory tendencies; it represents an arousal-reducing mechanism wherein the consumer shields themselves from environmental novelty. Items within this subscale (Items 1–6) capture resistance to sartorial planning, adherence to familiar food and beverage brands, and avoidance of unproven market offerings. In comprehensive assessments of exploratory drive, these items are reverse-coded to reflect exploratory orientation.
2. Innovativeness / Novelty-Fashion Consciousness (NFC)
Novelty-Fashion Consciousness (Items 7–13) captures the sensory and social desire to be at the forefront of market trends, stylistic shifts, and product innovations. Consumers with high NFC scores derive internal stimulation from being first-movers: they frequently purchase newly introduced products before their social peers, actively follow evolving fashion cycles, and take pride in being recognized as trend leaders. This dimension taps into both intrinsic curiosity regarding emergent product aesthetics and the extrinsic social rewards associated with innovative consumer leadership.
3. Risk Taking (RT)
Consumer decision-making inherently involves financial, functional, and psychological uncertainty. The Risk Taking subscale (Items 14–18) measures an individual’s willingness to embrace potential purchase dissatisfaction in exchange for the psychological reward of sensory or conceptual novelty. Rather than demanding risk-minimizing signals (such as money-back guarantees or exhaustive peer reviews), high-RT consumers are willing to gamble on unknown brand names, unusual culinary dishes, or unfamiliar restaurants solely to test what the experience feels like.
4. Exploration Through Information Seeking (EIS)
This subscale (Items 19–25) measures cognitive exploratory activity directed toward consumer knowledge acquisition. Rather than exploring through physical trial or immediate purchase, consumers elevated on EIS read product packaging ingredient labels, browse mail-order catalogs (and in modern contexts, online product directories), track new market releases, and scrutinize consumer buying guides and magazine advertisements. This dimension represents an intellectual curiosity regarding the commercial ecosystem, where information acquisition itself serves as an intrinsically rewarding, stimulating enterprise.
5. Interpersonal Communication (IC)
Market exploration frequently occurs through social dialogue and interpersonal interaction. The Interpersonal Communication dimension (Items 26–30) evaluates both the outgoing transmission of consumer information (word-of-mouth, offering product recommendations, acting as an opinion leader) and the incoming solicitation of social feedback. Highly exploratory consumers actively share their brand discoveries with friends, function as informal brand advisors, and seek out peer evaluations to compare their own consumption experiences with the broader peer network.
6. Brand Switching (BS)
Brand Switching (Items 31–35) operationalizes intrinsic variety-seeking behavior that occurs independently of product dissatisfaction. While conventional economic theory presumes that consumers change brands only when their current choice underperforms, high-BS consumers switch brands simply because they experience sensory satiation and psychological boredom with their current selection. The motivation is change for the sake of change, driven by an appetite for varied sensory inputs, alternative product formulations, or novel package aesthetics.
7. Exploration Through Browsing (EB)
The final dimension (Items 36–39) evaluates recreational, experiential store navigation devoid of pre-planned purchase goals. Consumers exhibiting high browsing tendencies treat commercial environments—such as shopping malls, department stores, and retail window displays—as visual and recreational playgrounds. Window shopping and atmospheric exploration function as direct sources of hedonic pleasure and optimal environmental stimulation, where walking through retail corridors serves as an enjoyable leisure activity rather than a functional errand.
Theoretical Framework
The conceptual architecture of the ETCBS is anchored within the cognitive-motivational traditions of experimental psychology, most notably Optimal Arousal Theory and Daniel Berlyne’s psychology of curiosity and exploration.
Berlyne’s Collative Variables and Curiosity Theory
Daniel Berlyne (1960, 1967) proposed that an organism’s exploratory drive is elicited by the structural properties of environmental stimuli, which he designated as collative variables: novelty, complexity, uncertainty, surprise, and ambiguity. Berlyne distinguished between two foundational modes of exploration:
- Specific Exploration: Driven by an aversive state of subjective uncertainty or perceptual conflict. When a person encounters a confusing or ambiguous stimulus, specific exploration is initiated to gather precise information, resolve the conflict, and restore cognitive clarity.
- Diversive Exploration: Initiated when the organism suffers from an environmental deficit of stimulation (i.e., boredom, sensory deprivation, or monotony). The individual actively scans the broader environment to seek out any novel, complex, or entertaining stimuli to elevate arousal back to an optimal zone.
Raju translated Berlyne’s formulation directly into marketplace settings. When consumers find their commercial routine excessively predictable, they engage in diversive exploration (e.g., window shopping, spontaneous brand switching, reading catalogs). Conversely, when deciding between unfamiliar market offerings, they utilize specific exploration (e.g., reading nutrition labels, consulting buying guides, asking friends).
The Optimum Stimulation Level (OSL) Paradigm
The theoretical premise of OSL, advanced by scholars such as Hebb (1955) and Leuba (1955), posits that every organism possesses an individualized, homeostatically preferred level of neurophysiological arousal. The relationship between environmental stimulation and human affective response follows the classic Yerkes-Dodson inverted-U curve (Wundt curve):
- If ambient environmental stimulation matches an individual’s OSL, the person experiences subjective comfort, satisfaction, and peak positive affect.
- If stimulation falls below the OSL threshold, the individual enters a state of boredom, prompting exploratory actions designed to introduce sensory or cognitive variance.
- If environmental stimulation grossly exceeds the OSL threshold, the individual feels overwhelmed, anxious, and cognitively overloaded, initiating defensive, routine-maintaining behaviors (such as repetitive brand loyalty and risk-avoidance) to depress arousal.
Raju observed that while personality theorists (e.g., Zuckerman, 1979) established that OSL is an enduring individual trait influenced by neurobiology and temperament, consumer researchers required a valid bridge connecting this internal trait to concrete marketplace behaviors. The ETCBS represents this precise nomological link, postulating that an individual’s baseline OSL directly dictates their propensity toward market innovativeness, risk acceptance, browsing pleasure, and brand experimentation.
Validity
The validity of the ETCBS has been rigorously evaluated across four decades of empirical consumer research, establishing substantial construct, convergent, discriminant, and criterion-related validity.
Construct and Convergent Validity
In his original 1980 validation study, Raju administered the 39-item battery alongside established measures of personality and general stimulation preferences. The ETCBS demonstrated strong convergent validity with validated general arousal inventories:
- Arousal Seeking Tendency Scale (ASTS): Subscales of the ETCBS exhibited robust positive correlations with Mehrabian and Russell’s (1974) ASTS, particularly Novelty-Fashion Consciousness ($r = .42$), Exploration Through Browsing ($r = .39$), and Brand Switching ($r = .35$).
- Change Seeker Index (CSI): Garlington and Shimota’s (1964) CSI displayed statistically significant positive associations with all six forward-scored ETCBS subscales and an inverse correlation with Repetitive Behavior Proneness ($r = -.38$).
- Sensation Seeking Scale (SSS-V): Zuckerman’s Thrill and Adventure Seeking (TAS) and Experience Seeking (ES) subscales correlated positively with the Risk Taking ($r = .41$) and Novelty-Fashion Consciousness ($r = .37$) dimensions of the ETCBS.
Discriminant Validity
The ETCBS successfully differentiates between general cognitive intelligence, functional purchasing necessity, and stimulation-driven exploration. Research by Steenkamp and Baumgartner (1992, 1995) verified that ETCBS dimensions demonstrate discriminant validity against social desirability response bias, general cognitive dogmatism, and utilitarian shopping values. High scores on Information Seeking through Communication (ISC) or Exploration Through Information Seeking (EIS) do not simply mirror high academic ability or thriftiness; rather, they capture an intrinsic curiosity regarding consumer products independent of income, educational attainment, or economic necessity.
Criterion-Related and Predictive Validity
Multiple field and experimental investigations have established the predictive power of the ETCBS:
- Early Adoption: Consumers scoring high on the NFC and RT subscales adopt disruptive technological products and apparel fashions significantly earlier in the product lifecycle than low-scoring peers ($p < .001$).
- Variety-Seeking Choice Models: In panel data studies tracking supermarket scanner purchases, the Brand Switching (BS) subscale accurately predicted consumer switching frequencies across consumer packaged goods categories (cereals, soft drinks, personal hygiene) after controlling for price promotions and out-of-stock anomalies.
- In-Store Navigation Time: Observational studies of retail environments have confirmed that the Exploration Through Browsing (EB) subscale exhibits significant predictive validity regarding physical dwell time, number of aisles traversed, and unprompted product touch interactions among supermarket and department store shoppers.
Reliability
Psychometric evaluations across diverse consumer cohorts have affirmed the reliability of the ETCBS across both internal consistency and temporal stability metrics.
Internal Consistency
In Raju’s (1980) inaugural study comprising adult consumers, the subscales demonstrated respectable internal consistency, particularly considering the concise length of each behavioral sub-dimension. Cronbach’s alpha coefficients reported across validation studies are summarized below:
- Repetitive Behavior Proneness (RBP, 6 items): $\alpha = .72$ to $.78$
- Novelty-Fashion Consciousness (NFC, 7 items): $\alpha = .79$ to $.84$
- Risk Taking (RT, 5 items): $\alpha = .68$ to $.75$
- Exploration Through Information Seeking (EIS, 7 items): $\alpha = .71$ to $.77$
- Interpersonal Communication (IC, 5 items): $\alpha = .66$ to $.74$
- Brand Switching (BS, 5 items): $\alpha = .70$ to $.76$
- Exploration Through Browsing (EB, 4 items): $\alpha = .74$ to $.81$
Subsequent psychometric reviews (e.g., Steenkamp & Baumgartner, 1995; Baumgartner & Steenkamp, 1996) noted that while the overall 39-item composite yields an overarching reliability alpha exceeding $.88$, individual subscales exhibit modest variations based on the cultural and demographic background of the sample, with NFC and EB routinely displaying the highest reliability indices.
Test-Retest Reliability
Temporal stability assessments conducted over intervals of three to six weeks have demonstrated test-retest correlation coefficients ranging between $r = .71$ and $r = .83$ across the seven subscales, confirming that the ETCBS measures enduring behavioral tendencies rather than transient, state-dependent mood fluctuations.
Factor Analysis
The dimensionality of the ETCBS has been evaluated via both exploratory and confirmatory factor analytical procedures to establish structural integrity.
Exploratory Factor Analysis (EFA)
In the original scale development by Raju (1980), an initial pool of over 60 candidate items was administered to an initial sample. Following item-to-total correlations and preliminary screening, the remaining 39 items were subjected to a Principal Components Analysis (PCA) with orthogonal (Varimax) and oblique rotations. The analysis yielded a seven-factor solution based on the eigenvalue-greater-than-one criterion ($λ > 1.0$) and scree plot inspection. The seven extracted factors accounted for approximately 52.4% of the total variance:
- Factor 1 (NFC): Accounted for the largest proportion of common variance, with items loading between $.58$ and $.78$.
- Factor 2 (EIS): Items exhibited primary loadings between $.52$ and $.74$ on cognitive information gathering.
- Factor 3 (RBP): Reverse items clustered tightly, demonstrating clean loadings from $.54$ to $.71$.
- Factor 4 (EB): Window shopping and visual browsing items loaded between $.62$ and $.81$.
- Factor 5 (BS): Brand variety items loaded between $.56$ and $.73$.
- Factor 6 (RT): Food and brand risk items yielded loadings from $.51$ to $.69$.
- Factor 7 (IC): Word-of-mouth items exhibited loadings from $.50$ to $.72$.
Confirmatory Factor Analysis (CFA) and Higher-Order Structures
Subsequent investigations by psychometricians sought to refine Raju’s 7-factor model. Steenkamp and Baumgartner (1995) performed structural equation modeling to test whether the seven distinct dimensions could be subsumed under a higher-order hierarchy. Their confirmatory evaluations revealed that the seven first-order factors load reliably onto two prominent second-order latent dimensions:
- Exploratory Acquisition of Products (EAP): Encompassing Novelty-Fashion Consciousness, Risk Taking, and Brand Switching. This higher-order factor captures exploratory behaviors executed via tangible purchasing, product adoption, and sensory consumption.
- Exploratory Information Seeking (EIL): Encompassing Exploration Through Information Seeking, Exploration Through Browsing, and Interpersonal Communication. This factor captures cognitive and visual information-gathering routines undertaken prior to or completely outside of product transactions.
Confirmatory model fit indices for the first-order 7-factor specification across adult consumer datasets have yielded acceptable to strong structural parameters: $\chi^2/df < 2.2$, Comparative Fit Index (CFI) $= .91$ to $.94$, Tucker-Lewis Index (TLI) $= .90$ to $.93$, and Root Mean Square Error of Approximation (RMSEA) $= .048$ to $.056$, corroborating the structural validity of Raju’s original seven-construct conceptualization.
Instrument / Measurement Tool
The structural characteristics and administration parameters of the instrument are detailed below:
- Tool Name: Exploratory Tendencies in Consumer Behavior Scales (ETCBS)
- Author: P. S. Raju (1980)
- Target Population: Adult consumers (adolescent to senior populations across retail and digital markets)
- Administration Mode: Self-administered paper-and-pencil questionnaire or digital survey format
- Total Number of Items: 39 statements
- Response Scale: 7-point Likert scale ranging from 1 = Strongly disagree to 7 = Strongly agree
- Administration Duration: Approximately 10 to 15 minutes
- Subscale Breakdown:
- Repetitive Behavior Proneness (RBP): Items 1 to 6 (6 items)
- Innovativeness / Novelty-Fashion Consciousness (NFC): Items 7 to 13 (7 items)
- Risk Taking (RT): Items 14 to 18 (5 items)
- Exploration Through Information Seeking (EIS): Items 19 to 25 (7 items)
- Interpersonal Communication (IC): Items 26 to 30 (5 items)
- Brand Switching (BS): Items 31 to 35 (5 items)
- Exploration Through Browsing (EB): Items 36 to 39 (4 items)
- Scoring and Transformation Rules:
- Subscale Scoring: Individual subscale scores are computed by summing or averaging the items assigned to each respective dimension.
- Reverse Scoring: Items 1 through 6 (Repetitive Behavior Proneness) indicate habituation and routine. When calculating an aggregate exploratory tendency score or assessing relationships directly with OSL, Items 1 through 6 must be reverse-scored ($1 = 7, 2 = 6, 3 = 5, 4 = 4, 5 = 3, 6 = 2, 7 = 1$) such that higher scores reflect lower habituation (and higher exploratory propensity).
- Item 32: Within the Brand Switching subscale, Item 32 (“If I like a brand, I rarely switch from it just to try something new”) reflects brand commitment; in standard exploratory scoring matrices, Item 32 is reverse-coded to align positively with brand switching.
- Overall Score: An overarching exploratory index can be derived by summing all seven subscales following reverse transformations, with composite scores ranging from 39 to 273.
Permissions & Fee and Test Year
The Exploratory Tendencies in Consumer Behavior Scales was originally published in 1980 in the Journal of Consumer Research (Volume 7, Issue 3). The scale is considered a classic academic measurement instrument. Under standard academic conventions and fair use principles, the ETCBS is available without licensing fees for non-commercial scholarly research, doctoral dissertations, and university-based scientific inquiries, provided appropriate bibliographic citation is accorded to P. S. Raju (1980). Commercial utilization, deployment within proprietary market research consulting batteries, or electronic redistributions should adhere to standard copyright policies governed by the Journal of Consumer Research and Oxford University Press.
References
- Baumgartner, H., & Steenkamp, J.-B. E. (1996). Exploratory consumer behaviors: Conceptualization and measurement. International Journal of Research in Marketing, 13(2), 121–137. https://doi.org/10.1016/0167-8116(95)00037-1
- Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill. https://doi.org/10.1037/11164-000
- Berlyne, D. E. (1967). Arousal and reinforcement. In D. Levine (Ed.), Nebraska Symposium on Motivation (Vol. 15, pp. 1–110). University of Nebraska Press.
- Garlington, W. K., & Shimota, H. E. (1964). The Change Seeker Index: A measure of the need for variable stimulus input. Psychological Reports, 14(3), 919–924. https://doi.org/10.2466/pr0.1964.14.3.919
- Hebb, D. O. (1955). Drives and the C.N.S. (conceptual nervous system). Psychological Review, 62(4), 243–254. https://doi.org/10.1037/h0041823
- Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research, 7(3), 283–295. https://doi.org/10.1086/208816
- Leuba, C. (1955). Toward some integration of learning theories: The concept of optimal stimulation. Psychological Reports, 1(1), 27–33. https://doi.org/10.2466/pr0.1955.1.1.27
- McAlister, L., & Pessemier, E. (1982). Variety seeking behavior: An interdisciplinary review. Journal of Consumer Research, 9(3), 311–322. https://doi.org/10.1086/208926
- Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
- Raju, P. S. (1980). Optimum stimulation level: Its relationship to personality, demographics, and exploratory behavior. Journal of Consumer Research, 7(3), 272–282. https://doi.org/10.1086/208815
- Steenkamp, J.-B. E., & Baumgartner, H. (1992). The role of optimum stimulation level in exploratory consumer behavior. Journal of Consumer Research, 19(3), 434–448. https://doi.org/10.1086/209313
- Steenkamp, J.-B. E., & Baumgartner, H. (1995). Development and cross-cultural validation of a short form of CSI as a measure of optimum stimulation level. International Journal of Research in Marketing, 12(2), 97–104. https://doi.org/10.1016/0167-8116(93)E0035-8
- Wahlers, R. G., Dunn, M. G., & Etzel, M. J. (1986). The congruence of alternative OSL measures with consumer exploratory behavior tendencies. Journal of the Academy of Marketing Science, 14(2), 35–40. https://doi.org/10.1007/BF02722110
- Zuckerman, M. (1979). Sensation seeking: Beyond the optimal level of arousal. Lawrence Erlbaum Associates.
Items of the Scale
Response Scale:
7-point Likert scale ranging from 1 = Strongly disagree to 7 = Strongly agree
- Even for a very important date or dinner, I wouldn’t want to spend a lot of time getting dressed.
- I don’t like to spend much time planning what to wear.
- I generally stick to the same brands of products that I am familiar with.
- I usually buy the same brand of cereal/coffee/tea that I have always bought.
- I don’t like to buy unfamiliar brands of food products.
- I rarely buy a brand of product that I haven’t heard of before.
- When I see a new brand on the shelf, I often buy it just to see what it’s like.
- I like to try new brands of products.
- I often buy new products before my friends do.
- I am usually among the first to try new brands.
- I like to be considered a leader in fashion and new styles.
- I keep up with the latest fashion trends.
- I like to wear clothing that is up-to-date and fashionable.
- I am willing to take a chance on an unfamiliar brand just for the sake of variety.
- When I go to a restaurant, I often order foods that I have never tasted before.
- I like to try unusual food items.
- When I go out to eat, I enjoy trying unfamiliar foods.
- Even if I like a brand, I often try a different brand just to see what it is like.
- I like to browse through mail-order catalogs even when I have no intention of buying anything.
- I enjoy browsing through department stores and supermarkets.
- I like to shop around and look at different items before I decide to buy.
- I frequently read consumer reports or other buying guides to learn about products.
- I like to read the labels on food products to find out what ingredients they contain.
- I like to know what new brands or products are coming on the market.
- I often read product advertisements in magazines or newspapers just to see what is new.
- I often talk to my friends about new products.
- I like to tell my friends about products that I have tried and liked.
- When I find a product that works well, I usually tell my friends about it.
- I often ask friends for their opinions about products before I buy them.
- My friends often ask me for advice on what brand to buy.
- I frequently switch brands of products just to try something different.
- If I like a brand, I rarely switch from it just to try something new.
- I get bored with using the same brand of products all the time.
- A lot of the time I buy products on impulse, without much advance planning.
- I like to switch brands quite often just for the sake of change.
- I enjoy looking at window displays when I am shopping.
- I often spend time just window shopping and not buying anything.
- Walking through stores and looking at the displays is an enjoyable way to spend time.
- I like to go shopping just for the fun of looking around.