Affective ScalesConsumer PsychologyMarketing ResearchPsychometrics

Customer Gratitude Scale (CGS-Rel)

The Customer Gratitude Scale (CGS-Rel), established by Palmatier et al. (2009), is a psychometric instrument designed to measure the affective state of customer gratitude elicited by relationship marketing investments.

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PUBLISHED
Scientifically Reviewed · Dr. Marwa Abd-Alazim · September 7, 2026
Medically & Scientifically Reviewed Verified: September 7, 2026
Dr. Marwa Abd-Alazim Ph.D.
Professor of Psychology University of Kerbala
Review Criteria & Clinical Standards

This content undergoes rigorous scientific peer-review and medical editorial standards at Arab Psychology Network to ensure clinical accuracy, validity, and compliance with evidence-based guidelines from leading psychological and healthcare authorities (APA / WHO).

1. Abstract

The Customer Gratitude Scale (CGS-Rel) is an empirical psychometric instrument designed to evaluate the state-based, positive relational emotional response experienced by consumers toward a commercial firm or service provider. Developed and validated by Palmatier, Jarvis, Bechkoff, and Kardes (2009), the instrument operationalizes customer gratitude as an affective-cognitive reaction elicited when a business makes perceptible relationship marketing investments—specifically actions perceived as intentional, benevolent, and exceeding baseline contractual or transactional obligations. Unlike general dispositional gratitude measures, such as the widely cited Gratitude Questionnaire-Six-Item Form (McCullough, Emmons, & Tsang, 2002), the CGS-Rel captures a target-directed, context-dependent relational construct that acts as a vital psychological mechanism converting firm investments into meaningful commercial outcomes.

Structurally, the CGS-Rel is a parsimonious, unifactorial instrument consisting of three core self-report items administered via a standardized 7-point Likert scale ranging from 1 (Strongly disagree) to 7 (Strongly agree). Across multiple laboratory experiments, longitudinal cross-sectional field studies, and commercial settings involving business-to-business (B2B) and business-to-consumer (B2C) exchanges, the scale has exhibited robust psychometric properties. Internal consistency reliability estimates consistently surpass conventional thresholds, yielding Cronbach’s alpha (α) coefficients between .92 and .97, composite reliabilities (CR) exceeding .90, and average variance extracted (AVE) values greater than .80. Confirmatory factor analyses demonstrate exceptional unidimensional structural validity, showing standardized factor loadings uniformly above .90. In structural equation modeling (SEM), the CGS-Rel demonstrates remarkable predictive validity, confirming that customer gratitude serves as a pivotal psychological mediator explaining incremental variance in customer trust, reciprocal behaviors, customer loyalty, word-of-mouth recommendations, and share of wallet over and above traditional relational constructs such as cumulative customer satisfaction and relationship commitment.

2. Keywords

Customer Gratitude Scale, CGS-Rel, Relationship Marketing, Gratitude in Marketing, Reciprocity Norm, Customer Loyalty, Relationship Marketing Investments, Affective Psychometrics, Customer Relationship Management, Service Quality Perception

3. Authors

The Customer Gratitude Scale (CGS-Rel) was formulated and rigorously validated by a collaborative team of distinguished scholars specializing in marketing strategy, relationship marketing, consumer behavior, and psychometric evaluation:

  • Robert W. Palmatier, Ph.D. — Professor of Marketing and John C. Narver Chair in Business Administration at the Michael G. Foster School of Business, University of Washington, Seattle, WA, USA. Dr. Palmatier is an internationally renowned authority in marketing strategy, customer relationship dynamics, channel structures, and customer loyalty frameworks.
  • Cheryl Burke Jarvis, Ph.D. — Professor of Marketing at the College of Business, Southern Illinois University Carbondale, Carbondale, IL, USA. Her scholarly focus encompasses customer-employee relational exchanges, scale development methodology, and structural equation modeling in consumer research.
  • Jennifer R. Bechkoff, Ph.D. — Associate Professor of Marketing, Lucas College and Graduate School of Business, San José State University, San Jose, CA, USA. Her research focuses on consumer psychology, behavioral decision theory, and the role of affective states in marketplace interactions.
  • Frank R. Kardes, Ph.D. — The Donald E. Weston Professor of Marketing at the Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH, USA. Dr. Kardes is an eminent scholar in consumer judgment, managerial decision-making, and applied cognitive psychology.

4. Purpose

The primary purpose of the Customer Gratitude Scale (CGS-Rel) is to measure the immediate and enduring positive affective state that customers experience toward a specific firm or service provider when that organization expends intentional effort, resources, or personalized care on their behalf. Within marketing science and consumer psychology, historical paradigms long presumed that customer loyalty was driven primarily by transactional satisfaction, overall perceived service quality, or formalized switching costs. However, relationship marketing models frequently suffered from unexplained variance in consumer retention, failure to predict consumer reciprocation, and an overreliance on cold cognitive evaluations. Palmatier and colleagues (2009) identified that an emotional catalyst—specifically relational gratitude—was missing from dominant relational frameworks.

From a theoretical standpoint, the CGS-Rel was developed to test whether customer gratitude functions as the crucial emotional bridge in the stimulus-organism-response framework of relationship marketing. When organizations make relationship marketing investments (such as offering customized services, extending unexpected perks, committing discretionary time, or granting preferential status), customers do not merely calculate utilitarian economic utility. Instead, they interpret the underlying benevolent intentions of the firm. When these investments are perceived as altruistic, effortful, and valuable, an emotional feeling of gratitude is triggered. The purpose of this scale is to isolate this affective state from subsequent cognitive obligations or behavioral actions, allowing researchers to evaluate the precise psychological processes governing relational exchange.

In applied commercial and organizational environments, the scale serves critical diagnostic functions. Enterprises invest billions of dollars annually in customer loyalty initiatives, customer relationship management (CRM) systems, and client appreciation programs. Without a targeted, validated measurement tool, organizations cannot discern whether their relationship investments are perceived as manipulative commercial gimmicks or as genuine expressions of goodwill. Administering the CGS-Rel enables marketing managers to:

  • Assess the emotional efficacy of specific loyalty tiers, experiential gifts, and proactive service recoveries.
  • Benchmark customer-facing personnel, account managers, and customer service teams on their ability to cultivate emotional capital.
  • Disentangle feelings of genuine consumer gratitude from superficial customer satisfaction or habitual repurchase inertia.
  • Predict downstream performance indicators, including organic word-of-mouth (WOM), willingness to pay price premiums, brand advocacy, and actual longitudinal share of wallet.

In academic research, the CGS-Rel provides an indispensable, psychometrically verified instrument for scholars investigating prosocial behavior in the marketplace, affective appraisal models, ethical customer relationship governance, service failure recovery protocols, and business-to-business relational contracts. Its parsimony ensures minimal respondent burden while maintaining superior psychometric integrity across complex, multi-construct survey architectures.

5. Psychological Construct

The psychological construct captured by the CGS-Rel is state-based customer gratitude, defined formally within relational marketing literature as the emotional appreciation for benefits received, accompanied by a desire to reflect or reciprocate that goodwill back toward the benefactor (Palmatier et al., 2009). To properly contextualize this construct within psychometrics, it must be distinguished across multiple structural dimensions:

5.1 State vs. Trait Gratitude

Psychological science differentiates between dispositional (trait) gratitude and episodic (state) gratitude. Trait gratitude represents a generalized, enduring tendency to recognize and respond with grateful emotion to the roles of other people’s benevolence in positive experiences and outcomes (McCullough et al., 2002). Individuals with high trait gratitude view life through an appreciative lens regardless of immediate environmental inputs. In stark contrast, customer gratitude measured by the CGS-Rel is strictly an acute, target-directed state. It is elicited by concrete, observable interactions between a commercial entity and an individual consumer or organizational buyer. The target of the emotion is explicitly referenced within the instrument (i.e., “[firm/provider]”), grounding the assessment in specific relational experiences rather than a broad personality disposition.

5.2 Emotional Gratitude vs. Gratitude-Based Reciprocal Behaviors

A frequent point of conceptual confusion in early social exchange literature was the conflation of the emotional feeling of gratitude with the behavioral actions driven by gratitude. Palmatier et al. (2009) established a vital conceptual distinction between:

  • Affective Customer Gratitude: The warm, positive feeling of appreciation, thankfulness, and emotional recognition directed at the provider. This internal emotional state is the exclusive focus of the 3-item CGS-Rel.
  • Gratitude-Based Reciprocal Behaviors: The subsequent, conscious actions taken by the customer to reward the provider, such as repurchasing, giving positive referrals, offering operational concessions, or deliberately steering business toward the firm.
  • Gratitude-Based Normative Obligation: The internalized cognitive pressure or normative duty to repay a perceived favor.

By measuring the affective dimension independently, the CGS-Rel isolates the underlying psychological catalyst that converts relationship investments into voluntary reciprocity, separating pure emotional appreciation from transactional indebtedness.

5.3 Distinguishing Gratitude from Cumulative Satisfaction and Trust

Customer satisfaction is predominantly an evaluative, cognitive-affective assessment of whether a product or service met or exceeded prior baseline expectations (Oliver, 1980). A customer can be fully satisfied with a transaction simply because the business fulfilled its explicit contract (e.g., an airline safely delivering luggage on time). However, satisfaction rarely elicits deep relational bonding because the firm merely delivered what was purchased. Customer gratitude, conversely, is activated when the provider exceeds expectations through perceived benevolent intent, discretionary effort, or sacrifice that was neither legally demanded nor financially pre-purchased. Similarly, while customer trust reflects confidence in a partner’s reliability and integrity, gratitude is an immediate emotional acknowledgment of a positive benevolent act that often precedes and accelerates the formation of relational trust.

6. Theoretical Framework

The conceptual architecture of the Customer Gratitude Scale is grounded in a convergence of evolutionary psychology, moral philosophy, cognitive appraisal theory, and sociological exchange frameworks. The scale relies predominantly on three foundational paradigms:

6.1 The Social Reciprocity Norm and Moral Affect

At the center of relational gratitude lies the universal norm of reciprocity, originally articulated by sociologist Alvin Gouldner (1960). Gouldner posited that human social structures depend upon a deeply ingrained moral code: people should help those who have helped them, and people should not injure those who have provided aid. Evolutionary psychologists (e.g., Trivers, 1971) expanded this framework through the concept of reciprocal altruism, arguing that gratitude evolved as an emotional mechanism to regulate exchange between non-kin, encouraging long-term cooperation and minimizing opportunistic exploitation.

In consumer-brand interactions, Palmatier et al. (2009) framed gratitude as a “moral affect” that serves three functions, drawing upon McCullough, Kilpatrick, Emmons, and Larson (2001):

  1. A Moral Barometer: Signaling to the customer that they have been the recipient of a genuine, discretionary benefit provided by the firm.
  2. A Moral Motive: Stimulating positive relational behaviors and inhibiting opportunistic exploitation or aggressive bargaining against the benefactor.
  3. A Moral Reinforcer: Reinforcing the firm’s ongoing benevolence when the customer conveys appreciation back to frontline employees.

6.2 Cognitive Appraisal Theory

The CGS-Rel operates within the parameters of cognitive appraisal theories of emotion (Lazarus, 1991). According to appraisal theory, emotions do not emerge spontaneously; they are generated through structured, subconscious cognitive evaluations of an environmental stimulus. For customer gratitude to manifest, three sequential appraisal conditions must be met:

  • Perceived Benevolence of Intent: The customer must evaluate the firm’s action as intrinsically motivated by goodwill rather than manipulative, self-serving opportunism or immediate commercial exploitation.
  • Perceived Cost/Sacrifice of the Benefactor: The customer recognizes that the firm expended non-trivial effort, time, financial resources, or emotional labor to deliver the benefit.
  • Perceived Value of the Benefit: The benefit delivered must align with the customer’s subjective needs, preferences, or desires, yielding genuine personal utility.

When these appraisals are positive, the emotional experience measured by the CGS-Rel is triggered, creating an enduring relational bond that transcends purely transactional calculus.

7. Validity

The psychometric validity of the Customer Gratitude Scale has been verified across diverse empirical contexts, including laboratory experiments, cross-sectional surveys, and longitudinal field studies in commercial business-to-business (B2B) and business-to-consumer (B2C) settings.

7.1 Construct and Unidimensional Validity

Across the structural models presented by Palmatier et al. (2009), the three items composing the CGS-Rel consistently loaded onto a single latent factor. The standardized factor loadings across both field studies and experimental contexts ranged from .90 to .96, demonstrating that all three indicators represent expressions of the same underlying affective construct. The average variance extracted (AVE) systematically exceeded .85, far outstripping the .50 benchmark established by Fornell and Larcker (1981).

7.2 Convergent Validity

Convergent validity was evaluated by assessing whether the scale correlated strongly with related relational phenomena without becoming redundant. In the original validation studies, customer gratitude correlated positively and significantly with customer trust (r ≈ .68 to .74, p < .001), relationship commitment (r ≈ .60 to .69, p < .001), and perceived relationship marketing investments (r ≈ .55 to .64, p < .001). Furthermore, all composite reliability values for the latent construct exceeded .93 across independent samples.

7.3 Discriminant Validity

Discriminant validity was established via multiple rigorous tests to confirm that customer gratitude is conceptually and empirically distinct from related relationship constructs, specifically:

  • Fornell-Larcker Criterion: The square root of the AVE for the CGS-Rel (greater than .92) significantly exceeded the inter-construct correlations between customer gratitude and all other latent variables in the structural models (e.g., trust, commitment, satisfaction, switching costs).
  • Chi-Square Difference Testing: Nested model comparisons were conducted where the correlation between customer gratitude and customer commitment was constrained to 1.0 versus freely estimated. The unconstrained model yielded a statistically significant improvement in chi-square fit (Δχ² > 120, p < .001), confirming empirical distinctiveness.
  • Distinction from Indebtedness: In experimental designs, gratitude was isolated from feelings of commercial obligation or guilt. While indebtedness stems from an uncomfortable psychological burden to repay, gratitude was uniquely driven by perceived benevolence and generated positive approach behaviors.

7.4 Predictive and Nomological Validity

Nomological validity was demonstrated through comprehensive structural equation modeling. Palmatier et al. (2009) confirmed that state customer gratitude mediated the relationship between a firm’s relationship investments and tangible customer behavior:

  • Customer gratitude directly predicted customer purchase intentions and actual sales growth over a multi-month longitudinal tracking period.
  • The inclusion of gratitude in the predictive model accounted for an additional 12% to 18% of the variance in customer repurchase loyalty and positive word-of-mouth recommendations, beyond what was explained by customer satisfaction and trust combined.
  • In high-stakes B2B environments, buyers exhibiting higher CGS-Rel scores were significantly less likely to engage in opportunistic renegotiations during contract renewals.

8. Reliability

The Customer Gratitude Scale demonstrates high internal consistency and stability across diverse empirical methodologies, participant demographics, and industry verticals.

8.1 Internal Consistency

In the foundational validation studies published by Palmatier et al. (2009), the CGS-Rel demonstrated the following internal consistency metrics:

  • Study 1 (Field Survey of B2B Buyers, N = 162): Cronbach’s alpha (α) = .95; Composite Reliability (CR) = .96.
  • Study 2 (Laboratory Experiment, N = 214): Cronbach’s alpha (α) = .94; Composite Reliability (CR) = .95.
  • Study 3 (Longitudinal Multi-Firm Study, N = 384): Cronbach’s alpha (α) = .96; Composite Reliability (CR) = .97.

Subsequent international replications in retailing, hospitality, financial services, and healthcare settings have consistently confirmed Cronbach’s alpha coefficients ranging between .91 and .97. Because all items converge on the core emotional sentiment of appreciation without ambiguous or reverse-coded stems, the scale exhibits negligible measurement error and very high inter-item correlations (typically r > .80).

8.2 Temporal Stability and Contextual Sensitivity

Because the CGS-Rel measures an emotional state elicited by dynamic organizational actions rather than an immutable personality trait, test-retest reliability reflects the natural decay curve of affective states over time. In longitudinal field experiments measuring participants immediately post-benefit versus three months later, baseline test-retest reliability across unmanipulated control cohorts remained stable (r ≈ .72 to .78). In contrast, intervention cohorts exposed to targeted relationship investments demonstrated significant, measurable increases in their post-test CGS-Rel scores, confirming that the scale is appropriately sensitive to genuine changes in relational treatment while maintaining structural stability.

9. Factor Analysis

Extensive exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) have confirmed the unidimensional structure of the Customer Gratitude Scale.

9.1 Exploratory Factor Analysis (EFA)

During preliminary scale purification, candidate items tapping affective appreciation, reciprocal intentions, and feelings of obligation were evaluated using principal axis factoring with promax rotation. The three CGS-Rel items cleanly loaded onto a single, dominant factor explaining over 88% of the total variance, with an eigenvalue exceeding 2.65. Factor loadings for all three items were uniformly strong, ranging from .91 to .95, with communalities exceeding .82. No cross-loadings above .20 were detected with other relational dimensions.

9.2 Confirmatory Factor Analysis (CFA)

In full-sample CFA models testing the measurement structure within a broader nomological net (comprising satisfaction, trust, commitment, and loyalty), the single-factor representation of customer gratitude exhibited fit indices meeting the criteria outlined by Hu and Bentler (1999):

  • Standardized Factor Loadings (λ):
    • Item 1 (“I feel grateful to [firm/provider]”): λ = .93 to .96
    • Item 2 (“I feel thankful to [firm/provider]”): λ = .94 to .97
    • Item 3 (“I feel appreciative toward [firm/provider]”): λ = .91 to .95
  • Model Fit Indices: Across reported empirical datasets, the measurement model consistently produced fit statistics: Comparative Fit Index (CFI) ≥ .98; Tucker-Lewis Index (TLI) ≥ .98; Root Mean Square Error of Approximation (RMSEA) ≤ .045; and Standardized Root Mean Square Residual (SRMR) ≤ .025.

Measurement invariance testing across both business-to-business organizational procurement contexts and direct retail consumer environments confirmed metric and scalar invariance, demonstrating that the three items function equivalently across diverse business categories.

10. Instrument / Measurement Tool

The CGS-Rel is a compact, self-administered questionnaire designed for seamless inclusion in academic and commercial surveys. Below are the administrative parameters of the instrument:

  • Test Type: Psychometric self-report rating scale measuring state relational emotion.
  • Format: Pen-and-paper or digital survey administration (desktop, mobile, or point-of-sale).
  • Item Count: 3 items.
  • Target Entity: The bracketed placeholder “[firm/provider]” is replaced with the specific brand, organization, service employee, or company under evaluation (e.g., “I feel grateful to Delta Airlines”).
  • Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree).
  • Administration Time: Approximately 30 to 60 seconds.
  • Scoring Rules:
    • All three items are positively phrased; no reverse scoring is required.
    • An overall Customer Gratitude score is computed by calculating the arithmetic mean of the three completed items (yielding a continuous composite score ranging from 1.00 to 7.00) or by summing the raw item values (ranging from 3 to 21).
    • Higher scores represent stronger customer gratitude toward the specified organization. In structural equation modeling, the items should be modeled as reflective indicators of a single latent factor.

11. Permissions & Fee and Test Year

The Customer Gratitude Scale was published in 2009 by Robert W. Palmatier, Cheryl Burke Jarvis, Jennifer R. Bechkoff, and Frank R. Kardes in the Journal of Marketing, a peer-reviewed publication of the American Marketing Association (AMA).

Licensing and Academic Use: In accordance with standard scholarly conventions, the scale items are available in the public domain for non-commercial academic, pedagogical, and educational research purposes, provided proper bibliographic citation is given to the original authors and the Journal of Marketing publication. For commercial applications, proprietary software integrations, or fee-generating diagnostic platforms, commercial practitioners may be subject to standard fair-use licensing policies administered by the copyright holder, the American Marketing Association.

12. References

The following peer-reviewed literature forms the theoretical, empirical, and psychometric foundations of the Customer Gratitude Scale:

  • 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
  • Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://www.jstor.org/stable/2092623
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press.
  • McCullough, M. E., Emmons, R. A., & Tsang, J. A. (2002). The grateful disposition: A conceptual and empirical approach. Journal of Personality and Social Psychology, 82(1), 112–127. https://doi.org/10.1037/0022-3514.82.1.112
  • McCullough, M. E., Kilpatrick, S. D., Emmons, R. A., & Larson, D. B. (2001). Is gratitude a moral affect? Psychological Bulletin, 127(2), 249–266. https://doi.org/10.1037/0033-2909.127.2.249
  • 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
  • Palmatier, R. W., Jarvis, C. B., Bechkoff, J. R., & Kardes, F. R. (2009). The role of customer gratitude in relationship marketing. Journal of Marketing, 73(1), 1–19. https://doi.org/10.1509/jmkg.73.1.1
  • Trivers, R. L. (1971). The evolution of reciprocal altruism. The Quarterly Review of Biology, 46(1), 35–57. https://doi.org/10.1086/406755

13. Items of the Scale

Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:

Instructions: Please indicate your level of agreement or disagreement with each statement regarding [firm/provider] using the following scale:

Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree)

  1. I feel grateful to [firm/provider].
  2. I feel thankful to [firm/provider].
  3. I feel appreciative toward [firm/provider].

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Cite This Article

memjavad (2026, September 7). Customer Gratitude Scale (CGS-Rel). PSYCHOLOGICAL DATABASE. https://en.arabpsychology.com/scales/customer-gratitude-scale-cgs-rel/
memjavad. “Customer Gratitude Scale (CGS-Rel).” PSYCHOLOGICAL DATABASE, 7 September 2026, https://en.arabpsychology.com/scales/customer-gratitude-scale-cgs-rel/.
memjavad. “Customer Gratitude Scale (CGS-Rel).” PSYCHOLOGICAL DATABASE. September 7, 2026. https://en.arabpsychology.com/scales/customer-gratitude-scale-cgs-rel/.