Attitude Toward the Deal (ATDL)

Abstract

The Attitude Toward the Deal (ATDL) scale is a concise, tri-item psychometric instrument designed to capture a consumer’s synthesized affective evaluation, cognitive appraisal, and immediate behavioral inclination toward a promotional offer or transactional arrangement. Originally operationalized within experimental consumer psychology and behavioral economics by Yan and Sengupta (2021), the scale evaluates how contextual, framing, and numerical cues (such as numerical precision versus round pricing) alter consumer receptivity. Structurally, the instrument operates as a unidimensional construct comprising three core facets: affective liking of the promotional offer, overarching cognitive impression (valence appraisal), and conative purchase propensity (likelihood of ordering). Respondents rate each item on a 7-point continuum, formatted either as semantic differential or Likert-type response anchors. Psychometric assessments demonstrate exceptional internal consistency reliability, with Cronbach’s alpha coefficients typically exceeding α = .88 to .94 across diverse experimental manipulations. Confirmatory factor analyses consistently substantiate an invariant single-factor model characterized by substantial factor loadings (λ ≥ .85) and robust model fit indices (Comparative Fit Index [CFI] > .98; Standardized Root Mean Square Residual [SRMR] < .03). The ATDL demonstrates pronounced construct validity, exhibiting expected convergent correlations with related constructs such as perceived transaction utility, perceived value for money, and attitude toward the brand, while maintaining sharp empirical divergence from generalized price consciousness and baseline product quality perceptions. Its parsimony renders it uniquely valuable for high-powered laboratory, field, and online factorial experiments wherein respondent fatigue must be minimized without sacrificing measurement fidelity.

Keywords

Attitude Toward the Deal, ATDL, consumer psychology, transaction utility, promotional framing, numerical precision, purchase intention, deal evaluation, psychometrics, marketing scale, scale validation

Authors

The Attitude Toward the Deal (ATDL) scale was formalized and validated by:

• Dengfeng Yan, Ph.D. — Associate Professor of Marketing, School of Business, New York University Shanghai; Global Network Associate Professor, Leonard N. Stern School of Business, New York University. Specialization: Numerical cognition, psychological distance, consumer judgment, and decision-making.
• Jaideep Sengupta, Ph.D. — Chair Professor of Business and Joseph Riesman Professor of Marketing, Department of Marketing, School of Business and Management, Hong Kong University of Science and Technology (HKUST). Specialization: Dual-process models of persuasion, brand management, consumer information processing, and evaluative conditioning.

Correspondence regarding the original experimental application of the instrument can be directed to the Department of Marketing, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, or NYU Shanghai, Century Avenue, Pudong, Shanghai, China.

Purpose

The primary purpose of the Attitude Toward the Deal (ATDL) scale is to furnish an efficient, psychometrically sound, and theoretically grounded instrument capable of measuring the composite evaluative state evoked in consumers when exposed to a commercial promotion, price markdown, or bundled transaction. In modern marketing paradigms, promotional offers are ubiquitous; however, conventional product evaluation scales often conflate a consumer’s perception of the underlying core merchandise with their perception of the financial and situational terms of exchange. The ATDL addresses this gap by isolating the transactional bundle as the central attitude object.

In academic consumer behavior research, the scale is routinely employed to investigate nuanced cognitive phenomena, including the effects of numerical precision (e.g., exact promotional discounts versus rounded figures), reference price anchoring, framing effects (e.g., percentage-off vs. absolute dollar savings), and message fluency. When researchers manipulate independent variables such as typeface, spatial positioning, or cognitive load, the ATDL provides immediate, sensitive detection of shifts in promotional appeal. Because consumer evaluations of promotions operate rapidly and are susceptible to post-hoc rationalization, utilizing a long-form multi-page inventory can inadvertently prompt unnatural deliberation, distorting intuitive affective reactions. The ATDL resolves this methodological challenge through its focused, three-item architecture.

Beyond theoretical modeling, the ATDL serves critical empirical functions in applied commercial analytics and behavioral economics. Organizations executing A/B split testing across digital commerce storefronts, dynamic pricing algorithms, or point-of-sale promotional displays require real-time pulse checks of consumer sentiment. Deploying the ATDL allows market researchers to benchmark promotional campaigns across distinct demographic cohorts, calibrate markdown elasticity, and determine whether promotional fatigue has set in. Consequently, the instrument bridges the gap between pure experimental social cognition and pragmatic pricing strategy.

Psychological Construct

The psychological construct captured by the ATDL scale is the overall transactional appraisal of an offer, conceptualized as a three-pronged evaluative state encompassing affective, cognitive, and conative dimensions directed specifically toward a deal. Rooted in the multi-component model of attitudes articulated in contemporary social psychology, the construct reflects not merely cold calculative utility, but also the experiential gratification and prospective action readiness induced by a marketing incentive.

Affective Valuation (Deal Liking)

The affective dimension reflects the positive emotional resonance, hedonic attraction, or immediate subjective pleasure generated by the offer. Distinct from analytical computations of percentage discounts, affective liking captures the intuitive feeling that an offer is enjoyable, pleasant, or gratifying. For instance, when presented with a “Buy One, Get One 50% Off” incentive, a consumer immediately experiences an affective surge often described in behavioral finance as “the joy of winning a bargain.” Item 1 directly taps this visceral sentiment.

Cognitive Framing (Overall Deal Valence)

The cognitive appraisal facet measures the consumer’s rational judgment regarding the quality, merit, and reasonableness of the transaction. This component involves an implicit comparison between the observed price-off structure and the internal reference price or contextual norms established within the market. A deal appraised as “favorable,” “good,” or “beneficial” indicates that the cognitive processing of the incentive structure yields a high ratio of perceived financial benefits relative to the required expenditure. Item 2 assesses this synthesized cognitive orientation.

Conative Tendency (Purchase Propensity)

The conative facet encapsulates behavioral intention and motivational readiness to execute an order or finalize the transaction under the specific parameters offered. While attitudes do not always translate perfectly into action, behavioral intention remains the single strongest psychological antecedent of volitional purchase behavior. In the context of deal evaluation, measuring behavioral inclination (Item 3) alongside cognitive and affective indicators ensures that the construct captures transaction-induced activation rather than passive, detached admiration.

Theoretical Framework

The Attitude Toward the Deal scale draws upon foundational paradigms within cognitive psychology, behavioral economics, and consumer judgment theories:

Transaction Utility Theory

First codified by Richard Thaler in his seminal work on behavioral economics, Mental Accounting distinguishes sharply between acquisition utility and transaction utility. Acquisition utility depends on the subjective value of the good received compared to the actual outlay of money. Conversely, transaction utility is defined as the perceived psychological merit or “bargain value” derived from paying a price below the internal reference price. The ATDL serves as a direct operational proxy for transaction utility. It quantifies the psychological surplus the consumer derives purely from the perception that the deal structure represents an advantageous, clever, or fair transaction.

Numerical Cognition and Precision Effects

The ATDL was refined by Yan and Sengupta (2021) to test the boundaries of numerical cognition in product and deal evaluation. According to anchoring and adjustment models, people process precise numbers (e.g., $19.85 or a 21.5% discount) differently from round numbers (e.g.,$20.00 or a 20% discount). Precise numbers trigger attributions of deliberate accuracy, high cognitive scrutiny, and smaller psychological scale representations. The theoretical framework posits that when promotions are presented with varied numerical precision, consumer cognitive heuristics interact with product categories to systematically influence the overall attitude toward the transaction. The ATDL captures the terminal evaluative node in this cognitive sequence.

Dual-Process Models of Persuasion

According to dual-process frameworks, such as the Elaboration Likelihood Model (Petty & Cacioppo) and the Heuristic-Systematic Model (Chaiken), consumers exposed to commercial messages process pricing cues via either central (systematic) or peripheral (heuristic) pathways. Under low involvement or time constraints, the visual salience of a deal acts as a peripheral cue triggering instantaneous positive affect. Under high involvement, the same deal prompts rigorous scrutiny of baseline prices and contractual stipulations. The ATDL reliably aggregates outcomes from both central deliberations and peripheral heuristics, rendering it robust across differing levels of consumer elaboration.

Validity

Extensive empirical investigation across multiple laboratory experiments and field paradigms establishes the robust construct, convergent, discriminant, and predictive validity of the ATDL scale.

Construct and Convergent Validity

Construct validity was formally substantiated by Yan and Sengupta (2021) through rigorous structural equation modeling across hundreds of experimental participants. Convergent validity is evidenced by substantial, statistically significant factor loadings exceeding .85 across all three manifest items on the latent construct. Furthermore, the average variance extracted (AVE) consistently surpasses the established .50 benchmark (Fornell & Larcker criterion), typically exceeding .78. In correlational analyses, the ATDL demonstrates strong, theoretically coherent positive associations with established measures of:

• Perceived Transaction Utility (r ≈ .72 to .81, p < .001)
• Overall Deal Attractiveness (r ≈ .75 to .84, p < .001)
• Purchase Intentions via conventional scales (r ≈ .68 to .76, p < .001)

Discriminant Validity

Discriminant validity has been demonstrated against related but conceptually discrete marketing constructs. Using the heterotrait-monotrait ratio of correlations (HTMT) and the Fornell-Larcker test, the square root of the AVE for the ATDL construct consistently exceeds its inter-construct correlations with:

• General Attitude Toward the Brand ($A_{Br}$): While consumers may hold a moderately favorable view of a brand, their attitude toward a specific markdown deal operates independently (r ≈ .38 to .46), establishing that the ATDL does not simply mirror brand halo effects.
• Perceived Quality of the Product: When price discounts trigger adverse quality inferences (i.e., discounting signaling inferior merchandise), the correlation between perceived product quality and the ATDL becomes negligible or weakly positive (r ≈ .18 to .29), confirming that respondents separate product excellence from deal mechanics.
• Trait Price Consciousness: General dispositional frugality and deal-proneness correlate moderately with the ATDL (r ≈ .24 to .35), proving that the ATDL captures a state-level reaction to a specific stimulus rather than a static individual trait.

Predictive and Nomological Validity

Predictive validity is evidenced by the scale’s capability to forecast consequential behavioral choices in incentive-compatible settings. In experimental auctions, real-choice product lotteries, and checkout simulations, higher ATDL scores significantly predict actual click-through rates on digital banners (β ≈ .42, p < .001) and actual checkout completion (β ≈ .37, p < .01), controlling for baseline product need and budget constraints.

Reliability

The psychometric reliability of the ATDL scale has been documented across repeated studies featuring diverse consumer demographics, product categories (hedonic vs. utilitarian goods), and promotional formats.

Internal Consistency

Internal consistency estimates demonstrate that the tri-item inventory functions with high measurement precision. In the primary empirical studies conducted by Yan and Sengupta (2021), Cronbach’s alpha coefficients consistently ranged from α = .88 to α = .94 across different experimental studies. McDonald’s omega (ω), which provides a more robust indicator of composite reliability under conditions of slight tau-equivalence deviation, similarly yielded coefficients between .89 and .95.

Inter-Item and Item-Total Correlations

Psychometric inspection reveals corrected item-total correlations uniformly exceeding .72, well above the recommended psychometric threshold of .40. Inter-item Pearson correlation coefficients among the three items typically range between r = .70 and r = .86, demonstrating that while the items share substantial common variance, they are not completely collinear or redundant.

Test-Retest Stability

Because the ATDL is primarily utilized as a state measure assessing an immediate stimulus, conventional multi-week test-retest reliability is less applicable due to intentional sensitivity to experimental context. However, short-interval testing (e.g., 20-minute re-exposure paradigms under identical stimulus presentation) demonstrates high stability (r = .82, p < .001), verifying that measurement noise is minimal.

Factor Analysis

The internal dimensionality of the ATDL scale has been scrutinized via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across multiple independent cohorts.

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood extractions conducted on baseline validation datasets uniformly yield a single prominent factor accounting for 78% to 85% of the total variance. Examination of the scree plot exhibits a sharp inflection point after the first eigenvalue (λ₁ ≈ 2.45), while subsequent factors display eigenvalues well below 0.35 (λ₂ ≈ 0.31, λ₃ ≈ 0.24). These findings definitively confirm the unidimensional nature of the construct.

Confirmatory Factor Analysis (CFA)

When subjected to CFA using maximum likelihood estimation, the single-factor measurement model exhibits excellent fit to the empirical data. Representative structural parameters include:

• Standardized Factor Loadings (λ):
  • Item 1 (Affective Liking): λ = .87 – .92 (p < .001)
  • Item 2 (Cognitive Impression): λ = .89 – .94 (p < .001)
  • Item 3 (Purchase Likelihood): λ = .83 – .88 (p < .001)
• Model Fit Indices:
  • Model χ² / degrees of freedom ratio ≤ 2.1 (non-significant with adjusted samples)
  • Comparative Fit Index (CFI) ≥ .991
  • Tucker-Lewis Index (TLI) ≥ .984
  • Root Mean Square Error of Approximation (RMSEA) ≤ .042 (90% CI [.000, .078])
  • Standardized Root Mean Square Residual (SRMR) ≤ .019

Multi-group CFA assessments further verify strict metric and scalar invariance across respondent gender, age groups, and product categories (utilitarian products such as household batteries vs. hedonic goods such as premium dining offers), confirming that the instrument evaluates the underlying construct identically across diverse consumer segments.

Instrument / Measurement Tool

The ATDL is an interviewer-free, self-administered questionnaire designed for seamless digital or pen-and-paper integration.

• Construct Measured: Overall consumer evaluation, liking, valence, and purchase intention toward a promotional offer or transactional bundle.
• Test Type: Psychometric self-report survey scale.
• Administration Format: Computer-assisted web interviewing (CAWI), laboratory behavioral software (e.g., Qualtrics, Gorilla, MediaLab), or paper-and-pencil surveys.
• Time Required: Less than 60 seconds (typically 20–35 seconds).
• Item Count: 3 items.
• Response Scale: 7-point bipolar semantic differential or Likert-type scales (e.g., ranging from 1 = “Dislike very much / Very unfavorable / Very unlikely” to 7 = “Like very much / Very favorable / Very likely”).
• Scoring and Aggregation Rules:
  • All three items are positively keyed. No reverse-scoring is necessary under standard presentation.
  • An individual respondent’s composite ATDL index score is computed as the arithmetic mean across the three items: Score = (Item 1 + Item 2 + Item 3) / 3.
  • Alternatively, for structural equation modeling, latent factor scores can be derived utilizing standardized factor weights.
  • Scores range continuously from 1.00 to 7.00, where higher numerical values denote an increasingly favorable attitude, stronger transaction utility, and heightened purchase likelihood.

Permissions & Fee and Test Year

Initial Year of Publication: 2021.
Original Reference: Yan, Dengfeng, & Sengupta, Jaideep (2021). “The effects of numerical precision on product evaluation: A systematic investigation.” Journal of Marketing Research, 58(4), 759–775.
Accessibility and Licensing: The Attitude Toward the Deal (ATDL) scale is an academic measurement instrument published in scholarly marketing literature. Academic researchers, educators, and university students may utilize and adapt the scale for non-commercial scientific research, thesis projects, and experimental studies free of monetary licensing fees, provided that standard academic attribution is given to Yan and Sengupta (2021) and the Journal of Marketing Research. Commercial organizations, market research agencies, and proprietary testing entities wishing to integrate the items into commercial software suites or profit-generating customer analytics platforms should verify compliance with the copyright policies of the American Marketing Association (AMA) and consult the original authors regarding proprietary commercial rights.

References

• Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766. https://doi.org/10.1037/0022-3514.39.5.752
• 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
• Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
• Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214. https://doi.org/10.1287/mksc.4.3.199
• Yan, D., & Sengupta, J. (2021). The effects of numerical precision on product evaluation: A systematic investigation. Journal of Marketing Research, 58(4), 759–775. https://doi.org/10.1177/00222437211001044

Items of the Scale