Cart Abandonment (Search for Better Price) (CASP)

1. Abstract

The Cart Abandonment (Search for Better Price) (CASP) scale is an established, unidimensional psychometric instrument developed by consumer behavior scholars Monika Kukar-Kinney and Angeline G. Close (2010). Designed to evaluate a specific, strategic facet of consumer digital shopping patterns, the scale quantifies the propensity of online shoppers to place merchandise into an online shopping cart and subsequently exit the website without completing the transaction specifically to search for a more favorable price. This behavior represents a calculated, price-motivated postponement rather than an inadvertent lapse, impulse-driven exit, or sudden reaction to unexpected shipping costs. Comprising three operational items administered on a 7-point Likert scale, the CASP captures cross-channel price exploration, spanning competitor online platforms, brick-and-mortar retail outlets, and intentional delay in anticipation of seasonal promotions or markdowns.

Psychometric evaluations demonstrate that the CASP exhibits exceptional measurement properties. In its foundational empirical validation across diverse samples of adult online shoppers, the instrument demonstrated strong internal consistency reliability, with Cronbach’s alpha ($lpha$) consistently exceeding .85 and composite reliability (CR) surpassing .86. Confirmatory factor analyses (CFA) have established robust unidimensionality, with standardized factor loadings surpassing .75 and average variance extracted (AVE) values exceeding the recommended .50 threshold. Convergent validity is evidenced by significant associations with general price consciousness, bargain-hunting orientations, and external search effort, while discriminant validity has been verified against distinct cart abandonment drivers such as transaction friction, experiential browsing, and cart-as-wishlist organization. As e-commerce ecosystems, dynamic pricing algorithms, and multi-channel retailing continue to evolve, the CASP remains an essential measurement tool in consumer psychology, behavioral economics, and digital marketing research.

2. Keywords

Cart abandonment, online shopping cart, search for better price, consumer psychology, price consciousness, price comparison, deferred purchase, information search, psychometrics, digital retailing.

3. Authors

The Cart Abandonment (Search for Better Price) scale was conceptualized, developed, and empirically validated by:

• Monika Kukar-Kinney, Ph.D. — Professor of Marketing, Robins School of Business, University of Richmond, Richmond, Virginia, USA. Dr. Kukar-Kinney is a recognized expert in consumer pricing perceptions, retail shopping behavior, compulsive buying pathology, and digital marketplace dynamics.
• Angeline Close Scheinbaum (née Close), Ph.D. — Associate Professor / Endowed Chair in Marketing, Clemson University (formerly at the University of Texas at Austin), South Carolina, USA. Dr. Scheinbaum focuses on consumer behavior, e-commerce, digital brand engagement, and experiential marketing.

Correspondence regarding the foundational instrument can be directed to the primary author through academic channels at the Robins School of Business, University of Richmond.

4. Purpose

The primary purpose of the Cart Abandonment (Search for Better Price) (CASP) scale is to isolate and quantify price-driven deferred purchasing behavior in digital commerce. Online shopping cart abandonment—defined generally as the placement of items into an electronic shopping receptacle without finalizing the transactional checkout—represents one of the most pervasive and costly challenges in digital retail operations. Industry benchmarks regularly suggest that 60% to 75% of digital carts are deserted before sale finalization. Historically, marketing practitioners and behavioral researchers conceptualized cart abandonment as a monolithic, failed conversion outcome caused primarily by transaction friction, confusing user interfaces, or post-selection sticker shock generated by unexpected shipping and handling surcharges.

However, Kukar-Kinney and Close (2010) demonstrated that cart abandonment is structurally multifaceted and frequently non-pathological. Rather than signaling a failed checkout pipeline, virtual carts often serve functional intermediate objectives in consumer decision-making. The CASP was engineered specifically to delineate deliberate, utilitarian cart abandonment driven by search economics. In this context, the consumer deliberately populates a shopping cart to consolidate product alternatives, aggregate total costs, or preserve product configurations, while deliberately choosing not to transact in order to pursue a more advantageous economic exchange.

From an applied perspective, the CASP provides market researchers, e-commerce designers, and behavioral psychologists with an empirical instrument to distinguish strategic price-sensitive shoppers from consumers who abandon carts due to usability deficits, hesitation regarding product efficacy, or purely hedonic, non-transactional entertainment browsing. In research contexts, the scale functions as a robust predictor of omnichannel shopping sequences, consumer showrooming and webrooming behaviors, coupon-seeking tendencies, and responsiveness to retargeting interventions. In managerial applications, identifying consumer segments characterized by high CASP scores enables retailers to tailor dynamic promotional strategies—such as real-time price match guarantees, targeted post-abandonment discount emails, and automated price-drop notifications—directly addressing the underlying cognitive motivation of the shopper.

5. Psychological Construct

The psychological construct captured by the CASP is price-motivated cart abandonment. This construct operates at the nexus of information processing, economic search theory, and cognitive decision delay. Unlike affective or impulsive exit patterns, price-motivated abandonment is a calculated, goal-directed behavior wherein the virtual cart acts as an evaluative anchor. Within this construct, the consumer’s temporary abandonment of the transaction is defined by three distinct behavioral facets:

5.1 Cross-Site Online Price Comparison

The first facet centers on comparative evaluation across competing online retail channels. In the digital environment, search costs are significantly lower than in physical retail spaces. When consumers place merchandise into a shopping cart, they effectively lock in a concrete price baseline, including baseline discounts and shipping estimates. The consumer then deliberately holds the cart in stasis while visiting competitor websites to ascertain whether identical or substitute merchandise is available at a lower total acquisition cost. This facet reflects a high degree of cognitive involvement and digital fluency, where the abandoned cart serves as a benchmark against which external digital offerings are evaluated.

5.2 Omnichannel Physical Store Comparison (Showrooming / Webrooming Dynamic)

The second facet involves cross-channel price exploration extending into traditional, brick-and-mortar retail stores. Consumers frequently utilize online shopping carts as digital reference sheets or memory aids. By populating a cart online, the shopper secures a precise price point and product specification list, which they subsequently contrast with offline retail pricing. If an offline vendor offers a competitive in-store promotion, immediate physical availability without shipping delays, or price-matching options, the online cart is permanently abandoned. This facet highlights the integrated omnichannel nature of modern consumer journeys.

5.3 Temporal Price Deferral and Sale Anticipation

The third facet captures intertemporal price arbitrage. Rather than actively seeking alternative vendors, the consumer abandons or suspends the current transaction in anticipation of future temporal price reductions on the same platform. The consumer leverages the shopping cart as a persistent visual holding queue, intentionally awaiting holiday sales events (e.g., Black Friday, Cyber Monday), mid-season clearances, promotional coupon codes, or automated behavioral retargeting discounts that digital merchants systematically trigger following cart inactivity. This facet reflects consumer patience, strategic self-regulation, and high transaction utility sensitivity.

6. Theoretical Framework

The theoretical architecture underpinning the Cart Abandonment (Search for Better Price) scale synthesizes classical economic models of consumer behavior with cognitive and behavioral economics paradigms.

6.1 Economics of Information and Search Theory

The core theoretical foundation of the CASP resides in George Stigler’s (1961) Economics of Information. Stigler posited that buyers actively invest time and resources in price search up to the point where the marginal cost of continued search equals the expected marginal return of discovering a lower price. In traditional physical marketplaces, external search costs—such as fuel consumption, transit time, and cognitive strain—often limit extensive search. In digital environments, however, search costs are drastically reduced. Consumers can open multiple browser tabs simultaneously, employ algorithmic price comparison engines, and aggregate quotes with minimal friction. The CASP operationalizes a behavioral state where the online cart represents the established benchmark price in the ongoing search calculus.

6.2 Prospect Theory and Transaction Utility

The construct is strongly informed by Richard Thaler’s (1985) Mental Accounting framework and the concept of transaction utility, derived from Kahneman and Tversky’s (1979) Prospect Theory. Thaler distinguished between acquisition utility (the perceived value of the product relative to its price) and transaction utility (the perceived merit or internal satisfaction of the ‘deal’, measured as the difference between the reference price and the actual price paid). Strategic cart abandoners demonstrate heightened sensitivity to transaction utility. For these consumers, buying an item at full price generates psychological disutility, whereas securing the product at an absolute or relative discount delivers profound psychological pleasure. Placing items in a cart and deliberately delaying checkout to hunt for discounts is an explicit operational mechanism to maximize transaction utility.

6.3 Cognitive Offloading and the Extended Mind

From a cognitive psychology perspective, cart abandonment for price search relies on the concept of cognitive offloading. Human working memory is limited in capacity. As consumers evaluate complex product assortments across multiple retailers, retaining exact product configurations, variants, and shipping-inclusive totals places a high demand on cognitive architecture. The virtual shopping cart serves as an external memory store. By offloading the mental representation of the intended purchase into the e-commerce system, the consumer frees cognitive bandwidth to focus exclusively on price comparison and risk mitigation across competing retail venues.

7. Validity

The validity of the CASP has been established through rigorous empirical testing across multiple consumer cohorts, utilizing structural equation modeling (SEM) and multivariate analytical frameworks.

7.1 Construct and Convergent Validity

Convergent validity evaluates the extent to which the CASP operational items correspond closely to the theoretical construct they are hypothesized to reflect. Kukar-Kinney and Close (2010) demonstrated robust convergent validity across large consumer panels. Standardized factor loadings for each of the three items substantially exceeded the accepted psychometric benchmark of .70 (ranging from .76 to .88, $p < .001$). The Average Variance Extracted (AVE) for the construct exceeded .65, well above the .50 criterion established by Fornell and Larcker (1981). These statistics confirm that the variance captured by the CASP construct is substantially greater than the variance attributable to measurement error.

7.2 Discriminant Validity

Discriminant validity ensures that the CASP is empirically distinct from other shopping motivations and cart abandonment dimensions. Kukar-Kinney and Close (2010) tested the CASP against related constructs, including:

• Cart Abandonment Due to High Shipping Costs: Consumers leaving due to cost shock upon viewing shipping fees.
• Cart Abandonment for Organization / Wishlist Use: Consumers using the cart purely as an inventory holding device without active price exploration.
• Cart Abandonment Due to Usability Friction: Consumers exiting due to mandatory registration, site bugs, or security fears.
• Recreational / Experiential Browsing: Consumers loading carts for hedonic gratification without purchase intent.

Using the Fornell-Larcker criterion, the square root of the AVE for the CASP exceeded the inter-construct correlations between CASP and all other latent variables in the structural model. Furthermore, heterotrait-monotrait ratio of correlations (HTMT) analyses across subsequent replications have consistently produced values below .85, confirming that price-motivated cart abandonment represents an empirically distinct consumer behavior.

7.3 Nomological and Criterion Validity

Nomological validity is substantiated by significant, theoretically predicted relationships between CASP and established behavioral constructs. The scale demonstrates positive, statistically significant correlations with general price consciousness ($r approx .45, p < .001$), deal proneness ($r approx .52, p < .001$), external search behavior ($r approx .38, p < .01$), and coupon redemption history. Conversely, it shows non-significant or weak inverse correlations with impulsive buying tendencies and store loyalty, validating the premise that CASP captures calculated, deliberate, price-focused decision-making.

8. Reliability

The internal consistency and temporal stability of the Cart Abandonment (Search for Better Price) scale have been evaluated across multiple consumer shopping environments.

8.1 Internal Consistency

In the foundational validation study by Kukar-Kinney and Close (2010), the internal consistency of the three-item instrument was demonstrated to be exceptional:

• Cronbach’s Alpha ($lpha$): Reported at .86 in the primary calibration sample and replicated at .87 in cross-validation datasets. These values comfortably exceed Nunnally and Bernstein’s standard psychometric cutoff of .70 for established scales and .80 for basic research instruments.
• Composite Reliability (CR): Estimated between .86 and .88 across structural equation models, confirming that the indicators reliably reflect the latent construct without being degraded by uneven error variances.
• Corrected Item-Total Correlations: All three items demonstrated high item-total correlation coefficients, consistently exceeding .68, verifying that each item makes a substantial and non-redundant contribution to total scale variance.

8.2 Test-Retest Stability

Subsequent methodological evaluations investigating consumer shopping traits over longitudinal intervals have indicated stable test-retest reliability across multi-week periods ($r_{tt} > .78$). Because price consciousness and comparison-shopping tendencies represent stable individual-difference shopping orientations rather than volatile mood-dependent states, the CASP demonstrates robust temporal stability when external economic incentives (e.g., personal disposable income, inflation rates) remain steady.

9. Factor Analysis

The underlying dimensionality and parameter structure of the CASP have been examined using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) within structural equation modeling environments.

9.1 Exploratory Factor Analysis (EFA)

During initial scale development, item batteries assessing diverse facets of digital cart usage were subjected to principal axis factoring and principal component analysis with varimax and promax rotations. The three CASP items cleanly converged onto a solitary factor characterized by eigenvalues exceeding 1.0 (explaining over 72% of the common item variance). No secondary cross-loadings above .25 were observed on alternative factors measuring experiential browsing or transaction hesitation.

9.2 Confirmatory Factor Analysis (CFA) and Model Fit

Confirmatory factor analytic routines conducted via AMOS and LISREL confirmed the strictly unidimensional architecture of the scale. When evaluated within the broader structural measurement model of online cart abandonment determinants, the measurement model demonstrated exceptional global fit indices:

• Chi-Square / Degrees of Freedom ($\chi^2/df$): 1.84 (well below the recommended upper threshold of 3.0).
• Comparative Fit Index (CFI): .98 (exceeding the conventional .95 benchmark).
• Tucker-Lewis Index (TLI): .97.
• Root Mean Square Error of Approximation (RMSEA): .042 (with a 90% confidence interval ranging from .028 to .057, well below the .06 cutoff indicating close fit).
• Standardized Root Mean Square Residual (SRMR): .031.

All standardized factor loadings ($lambda$) were statistically significant ($p < .001$), with values ranging from .76 to .88, confirming that the latent variable accounts for substantial individual variation across each observed parameter.

10. Instrument / Measurement Tool

The CASP is an operational self-report questionnaire designed for easy administration in digital surveys, lab-based e-commerce experiments, and longitudinal consumer panels. Below is the structural overview of the instrument:

• Instrument Type: Self-administered psychometric rating scale / behavioral frequency measure.
• Construct Assessed: Price-motivated online shopping cart abandonment.
• Item Inventory: 3 items measuring online price search, offline physical retail price search, and temporal sale deferral.
• Response Format: 7-point Likert-type scale, typically anchored from 1 = “Strongly Disagree” to 7 = “Strongly Agree” (or alternatively adapted to a frequency format: 1 = “Never” to 7 = “Always” depending on research objectives).
• Scoring Procedure:
  • All items are positively worded; there are no reverse-coded items.
  • An aggregate score can be generated by calculating the arithmetic mean of the 3 items (Mean score range: 1.00 to 7.00).
  • Alternatively, a summative composite score can be tabulated (Sum score range: 3 to 21).
  • Higher composite scores reflect a stronger propensity to strategically abandon online shopping carts to locate superior prices.
• Administration Time: Less than 2 minutes, minimizing participant fatigue in extensive commercial or academic survey batteries.

11. Permissions & Fee and Test Year

The Cart Abandonment (Search for Better Price) scale was officially published in 2010 in the Journal of the Academy of Marketing Science (Volume 38, Issue 2, pages 240–250). The copyright for the academic publication is held by the Academy of Marketing Science and published by Springer Science+Business Media.

For academic, educational, and non-commercial scientific research, the scale may generally be reproduced and utilized under standard fair dealing / fair use scholarly practices, provided that full academic citation and attribution are given to the original authors (Kukar-Kinney & Close, 2010). Commercial enterprises, market research corporations, or technology platforms seeking to embed the scale or proprietary derivatives into proprietary diagnostic software suites, commercial profiling engines, or fee-for-service consulting protocols should consult the publisher’s rights management system (e.g., Springer Nature RightsLink / Copyright Clearance Center) or obtain written consent from the scale authors.

12. References

The theoretical and empirical foundations of the CASP are documented in the following scholarly references:

• Close, A. G., & Kukar-Kinney, M. (2010). Beyond buying: Motivations for shopping cart use on the Web. Journal of Business Research, 63(9–10), 986–992. https://doi.org/10.1016/j.jbusres.2009.01.022
• 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
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
• Kukar-Kinney, M., & Close, A. G. (2010). The determinants of consumers’ online shopping cart abandonment. Journal of the Academy of Marketing Science, 38(2), 240–250. https://doi.org/10.1007/s11747-009-0141-5
• Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225. https://doi.org/10.1086/258464
• 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