Brand Popularity

1. Abstract

The Brand Popularity (BRPP) scale, formulated and validated by Zhou, Yang, and Hui (2010), is a psychometric instrument engineered to quantify consumer perceptions of a brand’s objective market standing, prominence, and momentum within a designated product category. Departing from conventional attitudinal metrics—such as idiosyncratic brand preference, emotional attachment, or affective liking—the scale measures perceived status, capturing consumers’ beliefs regarding the degree to which a brand is ascendant, technologically forward-looking, and widely embraced by the collective market. The instrument comprises four unidimensional items evaluated along a 7-point Likert scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”). Conceptually anchored in signaling theory, information economics, and social proof dynamics, the BRPP assesses four interrelated facets of market status: perceived innovativeness, market leadership, rapid growth trajectory, and aggregate market popularity. Psychometric evaluations across multi-level investigations demonstrate robust internal consistency (Cronbach’s alpha and composite reliability routinely exceeding .85), exceptional convergent validity, unambiguous unidimensional factor structure under confirmatory factor analysis (CFA), and distinct discriminant validity separating it from perceived quality, brand familiarity, and personal purchase intent. The scale serves as a critical diagnostic and predictive tool in global brand management, country-of-origin (COO) dynamics, consumer ethnocentrism research, and corporate reputation assessment, elucidating how perceived social consensus attenuates transactional risk and shapes perceived brand equity.

2. Keywords

Brand popularity, market prominence, market leadership, signaling theory, brand equity, consumer psychology, psychometrics, country-of-origin, brand status, perceived innovativeness

3. Authors

The Brand Popularity (BRPP) measure was conceptualized, operationalized, and validated by a team of prominent scholars in international marketing and consumer psychology:

• Lianxi Zhou, Ph.D.: Professor of Marketing and International Business. His research focuses extensively on international marketing strategy, consumer responses to foreign versus domestic brands, brand equity formation across emerging economies, and cross-cultural psychometrics.
• Zhiyong Yang, Ph.D.: Professor of Marketing and Chair of the Department of Marketing. His research expertise spans consumer social influence, family decision-making, parental socialization, and empirical modeling of brand signaling and cross-national consumer behaviors.
• Michael K. Hui, Ph.D.: Chair Professor of Marketing and prominent researcher in services marketing, consumer decision-making processes, customer satisfaction, and international marketing strategies.

Correspondence regarding the original multi-level study can be traced to the institutional affiliations documented in the seminal publication within the Journal of the Academy of Marketing Science (2010, Vol. 38, Iss. 2, pp. 202–218).

4. Purpose

In consumer psychology and brand management literature, a critical theoretical and methodological challenge is untangling a consumer’s private attitudinal preference from their cognitive appraisal of a brand’s perceived public prominence. While instruments such as brand attitude scales, affective disposition batteries, and affective commitment indices capture idiosyncratic affinity, they systematically overlook the informational value inherent in perceived market status. The primary purpose of the Brand Popularity (BRPP) scale is to isolate, operationalize, and quantify this extrinsic cue: the degree to which a consumer perceives a brand as dominant, dynamic, widely accepted, and ascendant in the marketplace, regardless of whether that consumer personally consumes or likes the brand.

From a research perspective, measuring perceived popularity provides essential empirical leverage in several theoretical paradigms:

• Information Economics and Uncertainty Reduction: In contexts characterized by high information asymmetry, high cognitive search costs, or ambiguous product attributes, consumers rely on brand popularity as a surrogate indicator of unobservable quality. The BRPP scale allows researchers to isolate how market prominence serves as a credible signal that minimizes perceived performance, financial, and psychological risk.
• Country-of-Origin (COO) and Global versus Local Brand Equity: A pivotal application of the BRPP scale is deciphering how consumers evaluate global (non-local) versus domestic (local) brands. As demonstrated by Zhou et al. (2010), a brand’s origin identification confidence interacts dynamically with its perceived market popularity, determining whether globalness or local embeddedness provides a strategic competitive advantage.
• Social Proof and Normative Influences: The scale enables investigators to capture the psychological manifestations of social proof and the bandwagon effect, modeling how perceived collective adoption influences personal preferences, willingness to pay a price premium, and brand advocacy.
• Status Signaling and Conspicuous Consumption: Beyond functional utility, popular brands offer symbolic utility. The scale assists researchers in measuring how consumers use popular brands to communicate modern identity, social prestige, and membership in aspirational consumer segments.

In commercial and applied settings, the instrument acts as a parsimonious market-tracking metric. Brand managers employ the BRPP to assess the efficacy of advertising campaigns designed to enhance market presence, monitor the perceived velocity of competitive challenger brands, and guide brand positioning during international market entry where establishing perceived legitimacy is paramount.

5. Psychological Construct

The construct of Brand Popularity represents a consumer’s cognitive perception of a brand’s collective market success, ubiquity, and competitive ascendancy. Rather than indexing an internal emotional state, brand popularity operates as an extrinsic cognitive evaluation anchored in perceived social consensus. The construct encapsulates four intimately related operational facets:

1. Perceived Innovativeness

Market prominence is rarely sustained purely through historical legacy; modern consumers equate market vitality with creative dynamism and technological leadership. Perceived innovativeness within the BRPP framework reflects the degree to which a brand is viewed as introducing novel solutions, advancing category standards, and pioneering progressive designs or functionalities. When consumers perceive a brand as innovative, they attribute to it superior research and development capabilities, operational sophistication, and strategic foresight, reinforcing its position as an industry pacesetter.

2. Perceived Market Leadership

Perceived market leadership captures the brand’s perceived structural authority, market share dominance, and benchmark-setting capacity within the sector. A market leader is viewed as defining the standards against which alternative brands are evaluated. Psychologically, leadership implies stability, structural permanence, and category stewardship, conveying to consumers that the brand possesses institutional validation and broad-scale industrial resilience.

3. Growth Trajectory (Velocity)

Static dominance differs markedly from dynamic expansion. The BRPP specifically integrates the perception of a rapid growth rate. This dynamic facet captures the brand’s perceived momentum, consumer adoption speed, and rising trajectory. A rapidly growing brand signals emergent relevance, high contemporary desirability, and vitality, evoking cognitive associations of an ascendant entity that captures progressive consumer interest and outpaces stagnant competitors.

4. Perceived Consensus Popularity

The fourth dimension directly captures perceived aggregate preference—the explicit belief that a wide, heterogeneous base of consumers chooses, endorses, and utilizes the brand. This facet embodies direct social proof: if an overwhelming number of individuals purchase the brand, subjective uncertainty regarding product deficiencies diminishes. Consensus popularity transforms the brand from an unproven risk into an established, socially validated default option.

Crucially, the construct is conceptualized as unidimensional at the higher-order level, as these four elements function in concert to constitute a unified perceptual gestalt of market prominence. The items do not ask, “Do you prefer this brand?” but rather assess objective social observations: “Is this brand innovative?”, “Is it a market leader?”, “Is it growing fast?”, and “Is it popular?”. This deliberate formulation decouples the scale from egocentric bias, producing a robust metric of perceived market status.

6. Theoretical Framework

The Brand Popularity construct is grounded in a rigorous confluence of economic and socio-psychological paradigms, providing a foundational baseline for understanding how consumers decipher market environments.

Signaling Theory and Information Economics

Pioneered by Michael Spence (1973) and adapted to marketing by Erdem and Swait (1998), signaling theory addresses information asymmetry between buyers and sellers. Because consumers cannot fully ascertain product quality or reliability prior to purchase without incurring substantial search and trial costs, brands act as market signals. A brand perceived as a rapidly growing, innovative market leader conveys that it has passed the scrutiny of thousands of fellow consumers. The brand incurs substantial investments in market presence, product design, and distribution, which would be financially ruinous if the underlying product failed to deliver satisfaction. Popularity thus serves as a credible, low-cost informational surrogate for unobservable technical quality.

Social Proof and the Bandwagon Effect

From a social psychological viewpoint, the scale draws directly from Robert Cialdini’s principle of social proof and Harvey Leibenstein’s (1950) formulation of the bandwagon effect. Social proof posits that under conditions of ambiguity, individuals look to the collective behaviors of others to determine appropriate actions. When consumers observe high brand popularity, they engage in a heuristic cognitive shortcut: “If so many people are buying this brand, it must be superior.” This social consensus mitigates post-purchase cognitive dissonance and social risk, ensuring that adopting the popular brand aligns with conventional norms.

Cue Utilization Theory

Cue utilization theory (Olson & Jacoby, 1972) differentiates between intrinsic cues (physical attributes of the product, such as ingredients or materials) and extrinsic cues (external brand traits, such as price, country-of-origin, and market popularity). When intrinsic cues are difficult, complex, or expensive to evaluate—such as evaluating sophisticated electronics, automotive engineering, or cosmetic chemical compounds—extrinsic cues dominate evaluation. Brand popularity is one of the most salient extrinsic cues available, directly informing the consumer’s perception of overall brand equity and trustworthiness.

7. Validity

The Brand Popularity scale has been subjected to extensive psychometric scrutiny, proving to possess rigorous construct, convergent, discriminant, and criterion-related validity across heterogeneous consumer samples and diverse product categories (e.g., consumer electronics, personal computers, telecommunications, and fast-moving consumer goods).

Construct and Convergent Validity

Construct validity is substantiated through high and statistically significant factor loadings on the latent construct. In the empirical studies conducted by Zhou, Yang, and Hui (2010), all four items exhibited completely standardized factor loadings exceeding the conventional .70 threshold (with loadings ranging between .74 and .89, all significant at $p < .001$). The Average Variance Extracted (AVE) consistently surpassed the recommended benchmark of .50 (frequently exceeding .65), confirming that the latent brand popularity construct captures the majority of the variance across its manifest operational indicators rather than measurement error.

Discriminant Validity

To ensure that Brand Popularity does not merely duplicate established marketing constructs, Zhou et al. (2010) tested discriminant validity using the Fornell and Larcker (1981) criterion. The AVE for brand popularity was rigorously contrasted against the squared inter-construct correlations ($r^2$) between brand popularity and related variables, including:

• Perceived Brand Quality: While popular brands are frequently assumed to be of high quality, popularity and quality loaded cleanly on separate factors, with the AVE of popularity substantially exceeding the shared variance between quality and popularity.
• Brand Familiarity: Brand familiarity denotes a consumer’s cognitive memory node size and personal experience with a brand, whereas popularity measures perceived external market dominance. Discriminant validity tests confirmed that high familiarity does not necessarily imply high perceived market leadership or growth rate.
• Attitude toward the Brand / Brand Liking: Consumers regularly acknowledge a brand as a dominant, growing, and innovative market leader (e.g., global corporate monopolies or trendy youth brands) while simultaneously expressing neutral or negative personal affection toward it, establishing distinct empirical boundaries.

Predictive and Criterion Validity

The scale demonstrates substantial predictive power across multiple structural equation models. Zhou et al. (2010) established that brand popularity operates as a powerful mediator and moderator between confidence in brand origin identification and purchase intentions. Furthermore, in cross-cultural and brand equity studies, perceived brand popularity accounts for significant unique variance in:

• Consumer purchase intentions ($R^2$ increments ranging between .12 and .28);
• Willingness to pay a price premium;
• Perceived status signaling value;
• Brand resilience during public corporate crises, where popular brands benefit from accumulated social goodwill.

8. Reliability

The Brand Popularity (BRPP) scale exhibits high internal consistency reliability across repeated empirical administrations in both Western and Asian consumer samples.

Internal Consistency Metrics

In the foundational psychometric analyses reported by Zhou, Yang, and Hui (2010), the scale yielded outstanding internal reliability indices across different experimental conditions and multi-level data partitions:

• Cronbach’s Alpha ($lpha$): Values for the 4-item scale consistently range from .84 to .91 across diverse product categories, well above the classic psychometric threshold of .70 recommended by Nunnally and Bernstein (1994) for established instruments.
• Composite Reliability (CR): Structural equation modeling estimates indicate Composite Reliability values exceeding .86, demonstrating that the manifest indicators reliably measure the underlying theoretical construct with minimal indicator-specific error.
• Item-Total Correlations: Corrected item-to-total correlations for each of the four items routinely exceed .65, affirming that no single item creates substantive distortion or redundancy within the metric.

Scale Stability and Replicability

Subsequent investigations applying the BRPP across diverse national settings—including emerging markets (e.g., China, India, Brazil) and mature economies (e.g., United States, Western Europe)—have mirrored these high reliability figures. Because the items employ neutral, objective terminology focused on public performance rather than volatile internal affective states, the instrument demonstrates temporal stability and robustness across distinct survey administration methods (digital, telephone, and paper-based instruments).

9. Factor Analysis

The structural dimensionality of the Brand Popularity instrument has been rigorously evaluated via both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Exploratory Factor Analysis (EFA)

When subjected to EFA using principal axis factoring or maximum likelihood extraction with oblique (Promax or Oblimin) rotation alongside adjacent brand equity indicators, the four items reliably extract onto a single distinct factor with an eigenvalue substantially greater than 1.0 (typically accounting for 68% to 78% of the total item variance). The scree test exhibits a sharp, unambiguous break after the first factor, confirming clear unidimensionality without cross-loading onto personal preference or ethical appraisal dimensions.

Confirmatory Factor Analysis (CFA) Fit Indices

In structural equation modeling frameworks using maximum likelihood estimation, the single-factor model demonstrates exceptional goodness-of-fit indices across published validations. Typical fit indices reported in structural validation studies include:

• Normed Chi-Square ($\chi^2 / ext{df}$): Consistently falling between 1.15 and 2.40, indicating excellent fit relative to model parsimony.
• Comparative Fit Index (CFI): Values routinely exceed .98 (benchmark $ge .95$).
• Tucker-Lewis Index (TLI): Values routinely exceed .97 (benchmark $ge .95$).
• Root Mean Square Error of Approximation (RMSEA): Values consistently range between .025 and .055, well below the stringent .06 threshold for superior model fit.
• Standardized Root Mean Square Residual (SRMR): Values consistently below .035 (benchmark $le .08$).

Standardized Factor Loadings

Representative standardized factor loadings ($lambda$) derived from CFA models in foundational studies are summarized below:

Measurement invariance testing across domestic and non-local brand conditions confirms full metric and scalar invariance, verifying that the scale measures the exact same theoretical construct across divergent corporate contexts.

10. Instrument / Measurement Tool

The formal specifications for deploying the Brand Popularity (BRPP) instrument in academic or commercial research are outlined below:

• Instrument Designation: Brand Popularity Scale (BRPP)
• Original Authors: Lianxi Zhou, Zhiyong Yang, and Michael K. Hui (2010)
• Target Population: Consumers, organizational buyers, or market respondents capable of identifying a designated focal brand within a specified product class.
• Administration Type: Self-report questionnaire; adaptable to computer-assisted web interviewing (CAWI), paper-and-pencil surveys, mobile interfaces, or telephone interviews.
• Completion Duration: Approximately 1 to 2 minutes for the complete 4-item battery.
• Structural Composition: Single unidimensional construct comprising 4 positively keyed declarative items.
• Authentic Response Scale: 7-point Likert scale (1 = strongly disagree, 7 = strongly agree).
• Scoring Protocol:
  • Because all 4 items are positively worded, no reverse-scoring is required.
  • Composite Score Calculation: An aggregate score is computed by calculating the arithmetic mean across the 4 items (Score Range: 1.00 to 7.00), or alternatively, by summing the item ratings (Score Range: 4 to 28).
  • Higher scores signify greater perceived market prominence, leadership, innovativeness, and social consensus.

11. Permissions & Fee and Test Year

The Brand Popularity (BRPP) scale was formally introduced to the literature in 2010 through the seminal paper published in the Journal of the Academy of Marketing Science.

• Academic and Educational Use: The scale items are published in the public academic domain within peer-reviewed scholarship. Researchers may utilize the instrument for non-commercial academic research, pedagogical exercises, and doctoral dissertations without monetary fees, provided that appropriate scholarly attribution is accorded to Zhou, Yang, and Hui (2010).
• Commercial and Proprietary Licensing: Commercial entities, syndicated market research agencies, or corporate consulting firms intending to embed the scale within proprietary commercial platforms or monetization services should observe standard copyright protocols governed by Springer Nature, the publisher of the Journal of the Academy of Marketing Science.

12. References

• Cialdini, R. B. (2009). Influence: Science and practice (5th ed.). Pearson Education.
• Erdem, T., & Swait, J. (1998). Brand equity as a signaling phenomenon. Journal of Consumer Psychology, 7(2), 131–157. https://doi.org/10.1207/s15327663jcp0702_02
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Leibenstein, H. (1950). Bandwagon, snob, and Veblen effects in the theory of consumers’ demand. The Quarterly Journal of Economics, 64(2), 183–207. https://doi.org/10.2307/1882692
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Olson, J. C., & Jacoby, J. (1972). Cue utilization in the quality perception process. In M. Venkatesan (Ed.), Proceedings of the Third Annual Conference of the Association for Consumer Research (pp. 167–179). Association for Consumer Research.
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010
• Steenkamp, J.-B. E., Batra, R., & Alden, D. L. (2003). How perceived brand globalness creates brand value. Journal of International Business Studies, 34(1), 53–65. https://doi.org/10.1057/palgrave.jibs.8400002
• Zhou, L., Yang, Z., & Hui, M. K. (2010). Non-local or local brands? A multi-level investigation into confidence in brand origin identification and its strategic implications. Journal of the Academy of Marketing Science, 38(2), 202–218. https://doi.org/10.1007/s11747-009-0158-1

13. Items of the Scale