1. Abstract
The Supermarket Price and Loyalty Offer Value (SPLOV) scale is a psychometric evaluation tool designed to assess consumer evaluations of retail grocery pricing structures, perceived economic value, and loyalty program execution. Originating from the empirical research conducted by Gomez, McLaughlin, and Wittink (2004), the SPLOV scale measures customer satisfaction within the fast-moving consumer goods (FMCG) and food retail sectors. Comprising five items administered on a 6-point Likert-type evaluation scale ranging from 1 (“Very Poor”) to 6 (“Excellent”), the instrument addresses both baseline transactional monetary trade-offs and programmatic loyalty card promotional dimensions.
Psychometrically, the scale captures a distinct unidimensional latent construct identified through exploratory and confirmatory factor analyses embedded within large-scale, semi-annual longitudinal customer tracking studies. The instrument evaluates five specific operational facets: overall value for money, local relative price competitiveness, promotional pricing depth granted via bonus or loyalty memberships, physical stock availability of promoted loyalty items, and the breadth/variety of advertised bonus offers. Empirical investigations demonstrate robust internal consistency reliability (Cronbach's α typically exceeding .84), high construct validity, and strong predictive validity regarding supermarket chain sales performance, store traffic, customer retention, and annual share of wallet. By integrating principles from equity theory, transaction utility theory, and customer relationship management (CRM) analytics, the SPLOV provides marketing scientists, retail psychologists, and store operations analysts with a standardized, reliable measurement metric for tracking customer perceived value.
2. Keywords
Supermarket Price and Loyalty Offer Value, SPLOV, retail satisfaction, perceived value, loyalty program evaluation, customer equity, transaction utility theory, grocery psychometrics, price competitiveness, retail analytics.
3. Authors
The scale was developed and psychometrically validated by a multidisciplinary team of agricultural economists, marketing scientists, and quantitative econometricians:
- Miguel I. Gomez, Ph.D. — Dyson School of Applied Economics and Management, SC Johnson College of Business, Cornell University, Ithaca, NY, USA. Specialization in food industry management, retail supply chains, and customer relationship modeling.
- Edward W. McLaughlin, Ph.D. — Robert G. Tobin Professor of Marketing, Emeritus, Dyson School of Applied Economics and Management, SC Johnson College of Business, Cornell University, Ithaca, NY, USA. Expert in food retail economics and supermarket operational strategies.
- Dick R. Wittink, Ph.D. (1945–2005) — Formerly George Rogers Clark Professor of Management and Marketing, Yale School of Management, Yale University, New Haven, CT, USA. Renowned pioneer in econometric modeling, marketing mix analysis, and customer satisfaction metrics.
4. Purpose
The primary purpose of the Supermarket Price and Loyalty Offer Value (SPLOV) scale is to quantify how grocery store patrons perceive the trade-off between financial outlay and tangible retail benefits, specifically accounting for the mediating impact of loyalty reward programs. In modern retailing, price perception is rarely a direct, linear function of absolute shelf prices. Instead, it represents a complex cognitive synthesis of reference prices, competitive benchmarking, perceived fairness, and loyalty program incentives. The SPLOV scale was engineered to capture this multi-layered consumer appraisal in a brief, operationally viable questionnaire that minimizes survey fatigue while preserving structural validity.
From an applied perspective, retail organizations use the SPLOV instrument within semi-annual or quarterly tracking surveys to diagnose store-level operational failures, assess marketing campaign effectiveness, and evaluate loyalty card mechanics. Grocery retailing operates on narrow profit margins, making customer retention vital for profitability. A decline in perceived price value or stock-outs of advertised loyalty specials can rapidly erode store loyalty, prompting defection to competing chains. The scale provides operational management with actionable diagnostic data, distinguishing between structural pricing problems (such as general market non-competitiveness) and execution failures (such as empty shelves for advertised loyalty promotions).
From a behavioral research standpoint, the SPLOV enables researchers to evaluate theoretical models of customer satisfaction and retailer performance. It serves as a validated independent variable or mediating construct in structural equation models linking retail inputs (pricing strategy, promotional frequency, assortment depth) to behavioral outputs (store revenue, customer lifetime value, repurchase intention, and primary store patronage). By isolating the pricing and loyalty offer value dimension from other store attributes (such as cleanliness, staff courtesy, checkout speed, and fresh produce quality), the SPLOV allows researchers to model the distinct contribution of promotional pricing programs to overall customer satisfaction.
5. Psychological Construct
The psychological construct measured by the SPLOV is Perceived Retail Price and Promotional Offer Value. This construct operates at the nexus of cognitive evaluation and affective satisfaction, grounded in how consumers interpret monetary costs relative to received utility. Rather than assessing objective financial expense, the scale assesses subjective cognitive appraisals across several interdependent dimensions:
1. Global Economic Value Appraisal
Reflected in the item assessing "Overall value for your money," this dimension captures the overarching cognitive assessment of the complete shopping basket relative to total expenditure. It represents an overall cost-benefit calculus where consumers weigh their subjective shopping experience, private-label quality, and brand assortment against the total receipt cost at checkout.
2. Relative Market Price Competitiveness
Captured by "Prices compared to other supermarkets in the area," this dimension measures social and market comparison processes. Consumers continuously construct internal reference price indices by benchmarking their primary store against nearby alternative grocers, hypermarkets, and hard discounters. This evaluation reflects perceived price fairness and competitive market positioning.
3. Loyalty Incentive Utility
Measured through "Value of the bonus/loyalty card special prices," this facet isolates the perceived economic benefit of participating in the retailer's loyalty scheme. It captures the psychological reward associated with receiving exclusive price discounts, temporary price reductions (TPRs), and targeted promotional savings at the point of sale, reinforcing the decision to hold and scan the store card.
4. Promotional Execution and Availability
Represented by "Availability of advertised bonus/loyalty card specials," this dimension evaluates logistics and operational fulfillment. When consumers travel to a supermarket specifically to purchase advertised loyalty promotions, encountering stock-outs causes psychological reactance, perceived breach of psychological contract, and frustration. Operational availability is therefore a core psychometric component of perceived value.
5. Promotional Variety and Curational Breadth
Evaluated through "Variety of advertised bonus/loyalty card specials," this facet assesses whether the promotional program offers sufficient breadth across product categories (dairy, meat, packaged goods, beverages) and brand tiers. A loyalty program with narrow or repetitive discounts diminishes perceived value, whereas broad, appealing variety stimulates exploration and reward responsiveness.
6. Theoretical Framework
The SPLOV scale is supported by several foundational theories within cognitive psychology, behavioral economics, and consumer marketing:
Transaction Utility Theory
Proposed by Richard Thaler (1985), Transaction Utility Theory posits that consumer purchases generate two distinct forms of utility: acquisition utility and transaction utility. Acquisition utility depends on the subjective value of the acquired good relative to its actual outlay, closely mirroring the SPLOV item measuring "overall value for your money." Transaction utility, on the other hand, represents the psychological pleasure or "deal satisfaction" derived from paying a price lower than the internal reference price ("the thrill of the deal"). Items assessing the specific value and variety of bonus/loyalty card promotions capture this transaction utility directly, measuring the psychological surplus consumers feel when their membership card unlocks marked-down prices.
Equity Theory and Social Comparison
Rooted in J. Stacy Adams' Equity Theory, consumers assess exchange relationships by evaluating the ratio of their own inputs (monetary expenditure, travel time, attention, behavioral data surrendered through loyalty registration) to perceived outcomes (grocery basket quality, promotional savings, special perks). If the shopper perceives that alternative supermarkets offer superior outcome-to-input ratios, inequity arises, leading to dissatisfaction. The comparative item ("Prices compared to other supermarkets in the area") operationalizes this comparative equity judgment.
Expectation-Disconfirmation Theory (EDT)
Formulated by Richard L. Oliver, Expectation-Disconfirmation Theory suggests that satisfaction is an affective state shaped by the cognitive comparison between prior expectations and actual perceived product or service performance. In grocery loyalty contexts, advertised circulars create explicit performance expectations regarding discount depth and promotional availability. When advertised specials are out of stock, negative disconfirmation occurs, reducing perceived offer value. The SPLOV scale incorporates items on availability and variety to capture this potential disconfirmation.
7. Validity
Empirical assessment of the SPLOV scale demonstrates robust psychometric validity across multiple evaluative criteria, as established in the retail management literature:
Construct and Convergent Validity
Construct validity was demonstrated by Gomez, McLaughlin, and Wittink (2004) through exploratory and confirmatory factor modeling of a large longitudinal customer survey database consisting of over 250,000 completed customer evaluations across approximately 250 retail grocery stores. The five items consistently loaded onto a distinct factor with factor loadings ranging from .68 to .84, demonstrating that all items share significant common variance in representing the underlying price and loyalty value construct. Average Variance Extracted (AVE) values routinely exceed the recommended threshold of .50, establishing convergent validity.
Discriminant Validity
Discriminant validity was established by comparing the SPLOV factor against concurrent store-attribute factors identified in the retail satisfaction framework, including: (a) Fresh Produce Quality, (b) Service Clerks and Checkout Efficiency, (c) Store Cleanliness and Layout, and (d) Product Assortment. Factor inter-correlations between the SPLOV factor and non-price physical store attributes typically fall between .32 and .54. These correlations are low enough to ensure distinct factor autonomy according to the Fornell-Larcker criterion, confirming that price and loyalty value constitutes an independent psychological domain distinct from store atmosphere or employee service.
Predictive and Criterion Validity
The scale demonstrates notable predictive and criterion validity with respect to objective commercial outcomes. In simultaneous-equation econometric modeling, store-level aggregate SPLOV scores significantly predict: (1) year-over-year same-store percentage sales growth (β = .22, p < .01), (2) customer retention rates, and (3) overall store satisfaction. Moreover, longitudinal tracking confirms that downward shifts in SPLOV metrics systematically precede declines in customer transaction count and grocery basket size over subsequent quarters.
8. Reliability
The SPLOV scale shows strong internal consistency and measurement stability across diverse geographic store markets, operating banners, and measurement waves:
- Internal Consistency: Across empirical deployments in retail studies, the scale's Cronbach's alpha (α) consistently ranges between .84 and .89, well above Nunnally's standard benchmark of .70 for applied and research tools. Composite reliability (CR) coefficients derived from structural equation modeling similarly range between .85 and .90.
- Item-Total Correlations: Corrected item-total correlations for each of the five items exceed .55, with the highest correlations generally observed for "Overall value for your money" (.74) and "Prices compared to other supermarkets in the area" (.71), highlighting their central contribution to the construct.
- Test-Retest Stability: While retail surveys typically use independent cross-sectional consumer samples over time, aggregate store-level evaluations demonstrate notable stability across quarters (test-retest correlations r > .80 across 6-month tracking periods), barring major pricing policy changes or macro-level inflationary shocks.
9. Factor Analysis
The structural dimensionality of the SPLOV was initially validated through Exploratory Factor Analysis (EFA) using principal axis factoring with varimax and oblimin rotations, followed by multi-sample Confirmatory Factor Analysis (CFA).
Exploratory Factor Analysis (EFA)
In initial item pool evaluations across retail satisfaction domains (over 30 store-specific attributes), EFA yielded a clean, five-factor orthogonal structure. The five items comprising the SPLOV loaded onto a single, dominant factor (eigenvalue > 3.2), accounting for over 64% of the shared variance among the pricing and promotional indicators. Factor cross-loadings onto adjacent factors (such as employee friendliness or produce quality) remained below .20.
Confirmatory Factor Analysis (CFA)
Subsequent CFA modeling on cross-validation holdout samples supported the unidimensional measurement model for this scale. Representative fit indices derived from retail structural equation models demonstrate good fit:
- Goodness-of-Fit Index (GFI): .98
- Comparative Fit Index (CFI): .97
- Tucker-Lewis Index (TLI): .96
- Root Mean Square Error of Approximation (RMSEA): .042 (90% CI: .031 – .053)
- Standardized Root Mean Square Residual (SRMR): .028
Standardized factor loadings from CFA estimations for each item are detailed below:
- Overall value for your money: λ = .82
- Prices compared to other supermarkets in the area: λ = .78
- Value of the bonus/loyalty card special prices: λ = .75
- Availability of advertised bonus/loyalty card specials: λ = .70
- Variety of advertised bonus/loyalty card specials: λ = .72
10. Instrument / Measurement Tool
- Test Type: Psychometric evaluation scale / Consumer satisfaction questionnaire instrument.
- Administration Format: Self-administered (paper-and-pencil receipt-invite surveys, online consumer panels, in-app customer evaluations, or intercept kiosks).
- Target Population: Adult supermarket shoppers, primary household grocery buyers, and registered supermarket loyalty cardholders.
- Item Count: 5 items.
- Response Scale: 6-point rating scale from 1 ("Very Poor") to 6 ("Excellent").
- Scoring Protocol: All items are positively framed (no reverse scoring required). Individual item scores can be summed (ranging from 5 to 30) or averaged (ranging from 1.0 to 6.0) to produce an overall Price and Loyalty Offer Value index. Higher composite scores reflect greater perceived economic value, fairer pricing, and superior execution of loyalty card promotional programs.
- Completion Time: Approximately 1 to 2 minutes.
11. Permissions & Fee and Test Year
The scale was developed and published by Miguel I. Gomez, Edward W. McLaughlin, and Dick R. Wittink in their seminal 2004 publication in the Journal of Retailing. The scale was created as part of an academic-industry research partnership examining customer satisfaction and retail store financial performance.
For non-commercial academic research and educational scholarship, the instrument items may be cited and adapted under fair use principles, provided proper academic attribution is given to Gomez et al. (2004). Commercial applications, such as incorporation into commercial consumer research platforms or enterprise customer experience management (CEM) systems, may require formal permissions or licensing through the copyright holders (Elsevier / New York University, Journal of Retailing) or the primary authors.
12. References
- Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 2, pp. 267–299). Academic Press. https://doi.org/10.1016/S0065-2601(08)60108-2
- 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
- Gomez, M. I., McLaughlin, E. W., & Wittink, D. R. (2004). Customer satisfaction and retail sales performance: An empirical investigation. Journal of Retailing, 80(4), 265–278. https://doi.org/10.1016/j.jretai.2004.10.003
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405
- Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214. https://doi.org/10.1287/mksc.4.3.199
- Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302