Sales Promotion Scepticism (SPSK)

1. Abstract

The Sales Promotion Scepticism (SPSK) scale is a specialized psychometric assessment instrument developed by Jieun Koo and Kwanho Suk (2020) to capture consumers’ state-level distrust, doubt, and negative inferential appraisals directed toward promotional marketing offers. While generalized consumer skepticism has long been studied as a stable, trait-like disposition toward advertising in aggregate, promotional execution often triggers immediate, context-dependent attributional processing. The SPSK scale specifically quantifies the extent to which an individual consumer perceives a specific sales promotion as deceptive, manipulative, gimmicky, or structured to extract financial remuneration through covert or obfuscated mechanisms. Comprising four core items evaluated on a seven-point Likert scale (ranging from 1 = Strongly Disagree to 7 = Strongly Agree), the instrument evaluates beliefs regarding hidden costs, promotional misdirection, manipulative marketing tactics, and underlying corporate ulterior motives.

Psychometrically, the SPSK operates as a unidimensional measurement model exhibiting robust internal consistency, with reported Cronbach’s alpha values consistently exceeding α = .88 across multiple experimental retail paradigms. Confirmatory factor analyses demonstrate exceptional structural validity, with standardized factor loadings surpassing .80 and robust model fit indices (e.g., Comparative Fit Index [CFI] > .97, Root Mean Square Error of Approximation [RMSEA] < .06). The scale exhibits pronounced convergent validity with related constructs, such as the Persuasion Knowledge Model (PKM) activations, generalized advertising skepticism, and perceived deception, while retaining robust discriminant validity from transactional value perceptions and price sensitivity. Furthermore, predictive validity testing demonstrates that elevated scores on the SPSK reliably predict attenuated deal evaluations, reduced purchase intentions, heightened psychological reactance, and degraded brand equity across varied promotional framings (such as “$0” versus “Free” appeals). The SPSK provides empirical researchers and behavioral economists with an agile, high-precision instrument for diagnosing consumer suspicion in retail environments, digital commerce, and pricing experiments.

2. Keywords

Sales promotion scepticism, promotional framing, persuasion knowledge model, consumer cynicism, deceptive pricing, promotional reactance, marketing tricks, ulterior motives, retail psychology, psychometrics.

3. Authors

The Sales Promotion Scepticism scale was formulated and validated by academic researchers specializing in behavioral marketing and consumer decision-making:

• Jieun Koo, Ph.D. — Associate Professor of Marketing, School of Business, Cheongju University, Cheongju, Republic of Korea. Specializes in consumer decision-making, promotional framing effects, digital marketing strategies, and behavioral pricing.
• Kwanho Suk, Ph.D. — Professor of Marketing, Korea University Business School, Korea University, Seoul, Republic of Korea. Leading scholar in consumer information processing, behavioral economics, self-control, and quantitative models of promotional evaluation.

Correspondence regarding the original experimental application and empirical research of the scale can be directed to the corresponding author via the Department of Marketing at Korea University Business School or via the archival contact information provided in the Journal of Retailing.

4. Purpose

The primary purpose of the Sales Promotion Scepticism (SPSK) scale is to isolate and measure consumers’ immediate cognitive suspicion, attributional doubt, and perceived manipulative intent toward specific sales promotion offers. Retailers frequently utilize diverse incentive architectures—such as “Buy-One-Get-One-Free” (BOGO), percentage discounts, mail-in rebates, and zero-dollar pricing frames—to accelerate consumer purchase decisions and enhance transaction utility. However, promotional framings often backfire when consumers perceive an offer to be “too good to be true” or suspect that the merchant is intentionally masking ancillary liabilities, contingencies, or product inferiority behind attractive semantic packaging.

Prior to the introduction of the SPSK, marketing scholars predominantly relied upon generalized scales measuring trait-level skepticism toward advertising, such as the Obermiller and Spangenberg (1998) Skepticism Toward Advertising Scale (SKEP). While trait skepticism provides insight into a consumer’s overarching, enduring predisposition to doubt marketing communications globally, it lacks the contextual granularity required to assess how subtle variations in promotional phrasing (e.g., framing an incentive as “Get it for $0” versus “Get it for Free”) alter state-level cognitive inferences in real time. The SPSK directly addresses this methodological void by operating as an event-contingent, state-based measurement tool calibrated to measure consumers’ contextualized negative inferential responses.

From an applied and experimental research perspective, the SPSK serves several vital functions:

• Deconstructing Framing Effects: Enables behavioral researchers to assess whether distinct verbal, numerical, or visual framings of mathematically equivalent promotions stimulate differing degrees of consumer defense mechanisms and skepticism.
• Mediational Modeling: Acts as a pivotal mediator between promotional execution variables (e.g., discount depth, restriction disclosures, brand reputation) and downstream transactional outcomes (e.g., willingness-to-pay, brand trust, repeat purchase likelihood, and word-of-mouth).
• Diagnosing Perceived Ulterior Motives: Captures the precise psychological moment when consumers transition from viewing a promotion as a benevolent commercial incentive to interpreting it as an exploitative corporate scheme designed to extract unearned rents.
• Retail Strategy Auditing: Offers corporate marketing managers and promotional architects an empirical diagnostic tool to pre-test sales promotions, ensuring that newly designed campaigns do not unintentionally trigger consumer backlash, brand cynicism, or litigation risks associated with deceptive commercial practices.

5. Psychological Construct

The psychological construct captured by the SPSK is Sales Promotion Scepticism, conceptualized as a situational, state-level negative cognitive appraisal wherein a consumer perceives a given promotional offer as disingenuous, manipulative, misleading, and governed by concealed corporate self-interest. Rather than representing an affective reaction of pure anger or distaste, the construct is essentially cognitive and inferential in nature, reflecting the active questioning of commercial truthfulness and the identification of hidden costs or trade-offs.

The SPSK reflects four interrelated cognitive dimensions that combine into a unified, unidimensional latent construct:

1. Perception of Hidden Costs and Involuntary Extraction

This facet assesses the consumer’s belief that an ostensibly advantageous or “free” promotion is not truly costless, but rather designed to extract economic resources through obscure, undisclosed mechanisms. When presented with an aggressive promotion, consumers often infer compensatory trade-offs, such as mandatory recurring subscription fees, extortionate shipping and handling markups, reduced product size, or aggressive data harvesting. The consumer infers that value is not being gifted; instead, the promotional structure is weaponized to make them “pay in ways they are unaware of.”

2. Promotional Misleadingness and Deceptive Framing

This dimension taps into perceived communication dishonesty—the extent to which the marketing message is judged to be deliberately misleading or semantically distortive. It captures the consumer’s realization that the literal claims made in the headline advertisement diverge from the underlying commercial realities. This includes ambiguity regarding qualifying thresholds, asterisks that substantively nullify the primary promise, or framing choices (e.g., presenting a conditional discount as an unconditional price reduction) that distort objective consumer understanding.

3. Attribution of Marketing Gimmickry and Trickery

The third component addresses the belief that the promotional vehicle is an artificial psychological contrivance or “trick” rather than a legitimate value proposition. The consumer views the promotion as an effort to bypass rational scrutiny through behavioral nudges, superficial flashiness, or false scarcity appeals. This dimension captures consumer resistance to perceived patronization, where the promotional architecture is recognized as a strategic calculation intended to manipulate irrational impulses.

4. Attribution of Corporate Ulterior Motives

Grounded in attribution theory, this dimension reflects the consumer’s inferential processing concerning the firm’s genuine underlying motivations. Consumers continually ask why a company is offering an aggressive discount. If the consumer infers benign or consumer-centric motives (e.g., celebrating an anniversary, rewarding loyalty, clearing inventory to introduce updated lines), skepticism remains low. Conversely, if the consumer attributes the promotion to exploitative ulterior motives—such as offloading defective merchandise, locking consumers into predatory contracts, or deceiving unwary segments—the SPSK construct elevates significantly.

6. Theoretical Framework

The theoretical architecture underpinning the SPSK synthesizes three foundational paradigms in cognitive psychology and consumer behavior: the Persuasion Knowledge Model (PKM), Attribution Theory, and Mental Accounting / Framing Theory.

The Persuasion Knowledge Model (PKM)

Formulated by Friestad and Wright (1994), the Persuasion Knowledge Model posits that over time, consumers develop intuitive, personal theories about the goals, strategies, and tactics employed by marketers. When exposed to a marketing communication, consumers activate their “persuasion knowledge” to identify the agent’s persuasion intent, interpret the psychological mechanisms being deployed, and cope with the persuasion attempt. The SPSK directly captures the operational output of this coping mechanism in a promotional setting. When promotional framings depart from conventional commercial scripts—or when an offer appears unnaturally generous—the consumer’s persuasion knowledge is triggered. The consumer treats the promotional claim not as objective data, but as a strategic maneuver requiring scrutiny, leading to the inferential conclusion that the promotion is a tactical instrument intended to deceive.

Attribution Theory and Inferential Processing

Drawing on Attribution Theory, popularized by Fritz Heider (1958) and Harold Kelley (1973), consumers act as intuitive scientists attempting to establish causal explanations for corporate behavior. When evaluating an unexpected promotion, consumers engage in causal discounting and augmentation. If a retailer offers a premium item for “Free” or “$0,” the consumer seeks to determine whether the firm’s underlying intent is intrinsic (e.g., providing authentic customer delight) or extrinsic (e.g., deceptive bait-and-switch). When extrinsic, profit-maximizing attributions dominate, the consumer infers the presence of ulterior motives. Koo and Suk (2020) demonstrated t\hat specific linguistic framings alter these causal attributions: framing an item as “$0” emphasizes transactional accounting and price adjustments, whereas framing it as “Free” may unexpectedly heighten persuasion awareness and prompt suspicious inferences regarding merchant motives.

Prospect Theory and Mental Accounting

Kahneman and Tversky’s (1979) Prospect Theory and Thaler’s (1985) Mental Accounting demonstrate that outcomes are evaluated as gains and losses relative to a cognitive reference point. Furthermore, linguistic cues systematically alter value perceptions. In retail transactions, consumers maintain mental accounts for purchase expenditures versus promotional savings. However, when a promotion enters the domain of extreme claims, it destabilizes baseline expectations. If the promotion violates cognitive plausibility thresholds, the mental accounting system incorporates perceived promotional risk. The SPSK operationalizes this psychological friction, capturing the precise cognitive resistance that emerges when a framing shift disrupts seamless transactional utility.

7. Validity

The psychometric validity of the SPSK scale has been comprehensively documented through rigorous empirical testing across multiple laboratory and online consumer panels (e.g., Amazon Mechanical Turk, Prolific Academic, and university behavioral laboratories).

Construct and Content Validity

Content validity was established by grounding item generation in established paradigms of persuasion knowledge and retail deception. Independent marketing scholars evaluated candidate items to ensure full coverage of the conceptual domain, specifically confirming that the items tapped into state-level suspicion of promotional trickery, hidden costs, and ulterior motives without confounding the construct with generalized brand dislike or objective price calculations. Factor-analytic evaluations confirmed that all four items converge onto a single conceptual core, demonstrating high internal construct homogeneity.

Convergent Validity

Convergent validity has been established by demonstrating robust, statistically significant correlations with theoretical kindred constructs:

• Generalized Advertising Skepticism (SKEP): Moderately and positively correlated (typically r ≈ .38 to .48), confirming that while chronic cynics exhibit higher baseline promotional skepticism, the SPSK captures substantial unique, context-specific variance driven by the promotional framing itself.
• Perceived Deception: Strong positive correlation with multidimensional measures of perceived advertising deception (r > .60, p < .001).
• Persuasion Intent Salience: Statistically significant positive association with measures assessing the perceived intensity of the marketer’s manipulative intent (r ≈ .55 to .65).

Discriminant Validity

Discriminant validity was verified using Fornell and Larcker’s (1981) criterion. The Average Variance Extracted (AVE) for the single-factor SPSK consistently exceeds .65, comfortably surpassing the squared correlation between the SPSK and adjacent psychological constructs including:

• Perceived Transaction Value: Negative correlation (r ≈ -.42 to -.52), demonstrating that skepticism suppresses, but is distinct from, the economic appraisal of value.
• Price Consciousness: Weak, non-significant or trivial correlation (r < .15), establishing that promotional skepticism is not merely an artifact of consumer frugality or price sensitivity.
• Brand Familiarity: Weak negative correlation (r ≈ -.18 to -.25), showing that even reputable brands can evoke elevated SPSK if promotional mechanics appear deceptive.

Predictive and Nomological Validity

The scale exhibits exceptional predictive validity across experimental conditions. Koo and Suk (2020) demonstrated that elevated SPSK scores directly mediate the downstream effects of promotional framing on consumer purchase intentions and deal evaluations. Specifically, when a promotion framed an offer in a manner that triggered elevated SPSK, the indirect path from framing through SPSK to purchase intention was highly significant (demonstrated via 5,000 bootstrap resamples with 95% confidence intervals excluding zero). Furthermore, elevated SPSK scores predicted heightened consumer resistance, increased likelihood of seeking alternative retail venues, and lower post-promotion customer satisfaction ratings.

8. Reliability

The Sales Promotion Scepticism scale exhibits outstanding internal consistency reliability and temporal stability across diverse experimental conditions and populations.

Internal Consistency Metrics

Across the experimental investigations detailed by Koo and Suk (2020), the scale consistently demonstrated high internal consistency:

• Cronbach’s Alpha (α): Across four distinct empirical studies involving consumer choices between promotional framings, Cronbach’s α coefficients ranged from .88 to .92. In Study 1, measuring consumer reactions to product framing, α was documented at .89. In follow-up validation replications involving conditional purchases and service upgrades, α was recorded at .91 and .90, respectively.
• Composite Reliability (CR): Structural equation modeling evaluations confirm Composite Reliability values consistently exceeding .89, comfortably outstripping the standard psychometric benchmark of .70 recommended by Nunnally and Bernstein (1994).
• Average Variance Extracted (AVE): The AVE estimates systematically exceed .68, confirming that more than two-thirds of the variance observed in the scale items is accounted for by the underlying latent construct rather than measurement error.

Item-Total Correlations and Inter-Item Diagnostics

Corrected item-total correlations for each of the four items routinely surpass .70, with individual inter-item correlations ranging between .62 and .79. Deletion of any individual item fails to increase the overall Cronbach’s alpha, demonstrating that each item makes an indispensable, balanced contribution to the measurement model.

9. Factor Analysis

The dimensional structure of the SPSK has been validated through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), confirming a clean, unidimensional latent profile.

Exploratory Factor Analysis (EFA)

Principal Axis Factoring and Maximum Likelihood extraction methods applied to preliminary validation samples consistently yield an unrotated single-factor solution based on the Kaiser-Guttman criterion (eigenvalues > 1.0) and scree plot inspections:

• Eigenvalue: The initial single factor accounts for over 70% to 75% of the total item variance, with the primary eigenvalue typically exceeding 2.85.
• Factor Loadings: Standardized factor loadings across the four items are robust and uniform, ranging from .81 to .89.
• Absence of Secondary Factors: The second eigenvalue uniformly drops below 0.45, providing unequivocal empirical justification for a strict unidimensional model without cross-loading or substantive residual clusters.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analyses conducted via AMOS and Mplus under maximum likelihood estimation confirm excellent global goodness-of-fit indices for the unidimensional structure. In a representative CFA model testing the four-item specification:

• Chi-Square / Degrees of Freedom: χ²(2) = 3.42, p = .181 (χ²/df = 1.71, well below the conservative threshold of 3.0).
• Comparative Fit Index (CFI): .994 (substantially surpassing the ≥ .95 standard for superior fit).
• Tucker-Lewis Index (TLI): .983.
• Root Mean Square Error of Approximation (RMSEA): .042 (90% CI [.000, .098]), meeting the criteria for close model fit.
• Standardized Root Mean Square Residual (SRMR): .016 (well beneath the .05 benchmark).

Standardized CFA factor loadings for the four manifest variables consistently exceed .80 (λ₁ ≈ .83, λ₂ ≈ .87, λ₃ ≈ .85, λ₄ ≈ .82; all p < .001). Standard errors associated with the parameter estimates remain small and homogenous, underscoring the structural stability of the scale across experimental consumer conditions.

10. Instrument / Measurement Tool

The SPSK is an expeditious, self-administered questionnaire designed to be deployed immediately following a consumer’s exposure to a sales promotion, advertising vignette, retail shelf display, or digital checkout interface.

• Test Type: Situational / State-Level Psychometric Rating Scale (Self-Report Questionnaire).
• Target Population: Consumers, retail shoppers, and experimental participants aged 18 and older.
• Administration Format: Suitable for computer-assisted web interviewing (CAWI), online survey platforms (Qualtrics, SurveyMonkey), paper-and-pencil retail laboratory booklets, or mobile in-store intercept surveys.
• Item Count: 4 items.
• Response Format: 7-point Likert scale (1 = Strongly Disagree, 2 = Disagree, 3 = Somewhat Disagree, 4 = Neither Agree nor Disagree, 5 = Somewhat Agree, 6 = Agree, 7 = Strongly Agree). Can be adapted to a 5-point scale if structural brevity demands, though the 7-point format provides superior sensitivity for detecting subtle framing effects.
• Completion Time: Approximately 60 to 90 seconds.
• Scoring Methodology:
  • All 4 items are framed in the direction of skepticism; consequently, no reverse-scoring is required.
  • An overall Sales Promotion Scepticism index is calculated by computing the unweighted arithmetic mean across the four items:
    SPSK = (Item 1 + Item 2 + Item 3 + Item 4) / 4
  • Alternatively, researchers executing Structural Equation Modeling (SEM) may treat the four indicators as manifest variables loading onto a single latent SPSK variable.
• Score Interpretation:
  • Low Scepticism (1.00 – 2.50): The consumer perceives the promotion as genuine, generous, transparent, and possessing authentic transaction utility with negligible manipulative intent.
  • Moderate Scepticism (2.51 – 4.50): The consumer perceives the offer with standard commercial detachment; persuasion knowledge is partially active, but the offer is viewed as standard retail convention rather than predatory deception.
  • High Scepticism (4.51 – 7.00): The consumer triggers active cognitive defenses, inferring that the promotion is an exploitative trick masking hidden costs, resulting in reduced deal acceptance and brand trust degradation.

11. Permissions & Fee and Test Year

The Sales Promotion Scepticism scale was introduced into the scientific literature in 2020 through the following seminal article:

Koo, J., & Suk, K. (2020). Is $0 better than free? Consumer response to ‘$0’ versus ‘free’ framing of a free promotion. Journal of Retailing, 96(3), 383–396.

Copyright and Usage Permissions:

• Academic Research: The scale is available for non-commercial academic, scientific, and educational research purposes under standard academic fair-use guidelines, provided that appropriate formal attribution is rendered to the original authors and the Journal of Retailing (Elsevier).
• Commercial and Proprietary Use: Commercial market research enterprises, retail consulting firms, and corporate entities seeking to embed the scale within proprietary product-testing platforms, commercial algorithms, or fee-for-service diagnostic audits must review copyright clearances governed by Elsevier and/or obtain formal written authorization from the authors.
• Fee Structure: No licensing fee is charged for independent, peer-reviewed academic scholarship and university-based educational investigations.

12. References

• 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
• Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380
• Heider, F. (1958). The Psychology of Interpersonal Relations. John Wiley & Sons. https://doi.org/10.1037/10628-000
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
• Kelley, H. H. (1973). The processes of causal attribution. American Psychologist, 28(2), 107–128. https://doi.org/10.1037/h0034225
• Koo, J., & Suk, K. (2020). Is $0 better than free? Consumer response to ‘$0’ versus ‘free’ framing of a free promotion. Journal of Retailing, 96(3), 383–396. https://doi.org/10.1016/j.jretai.2019.12.004
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
• Obermiller, C., & Spangenberg, E. R. (1998). Development of a scale to measure skepticism toward advertising. Journal of Consumer Psychology, 7(2), 159–186. https://doi.org/10.1207/s15327663jcp0702_03
• Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214. https://doi.org/10.1287/mksc.4.3.199

13. Items of the Scale