Customer Attachment Comfort Scale

1. Abstract

The Customer Attachment Comfort Scale (CATCOM) is a specialized psychometric instrument engineered to evaluate the emotional ease, security, and psychological comfort a customer experiences when entering into an interdependent, emotionally proximate relationship with a commercial service firm. Adapted from the canonical adult attachment paradigms established in social and developmental psychology—specifically Brennan, Clark, and Shaver's (1998) Experiences in Close Relationships (ECR) inventory—the scale transfers relationship science into the domain of relationship marketing and consumer psychology. Developed and psychometrically validated across multiple longitudinal and cross-sectional service settings by Mende and Bolton (2011) and Mende, Bolton, and Bitner (2013), the CATCOM comprises a parsimonious four-item, unidimensional construct administered via a 7-point Likert-type response format ranging from 1 ("Strongly Disagree") to 7 ("Strongly Agree").

The scale measures the degree to which an individual consumer finds psychological dependence, interpersonal proximity, and reliance upon a service provider to be natural, safe, and desirable. In its direct scoring configuration, elevated scores reflect high attachment comfort, signifying that the consumer welcomes affective closeness and service coproduction. Conversely, through systemic reverse scoring, the CATCOM functions inversely as an operational measure of customer attachment avoidance—the extent to which a consumer seeks defensive autonomy, exhibits relational skepticism, and intentionally maintains emotional distance from the service organization. Empirical validation across banking, insurance, and medical service sectors establishes robust psychometric soundness, characterized by high internal consistency (Cronbach's alpha typically ranging between .83 and .91; composite reliability > .85), stable unidimensional factor structures verified via confirmatory factor analysis (CFA), and strong convergent, discriminant, and predictive validity regarding customer repurchase intentions, share of wallet, cross-buying behaviors, and vulnerability to service failure encounters.

2. Keywords

Customer Attachment Comfort Scale, CATCOM, Attachment Theory, Customer-Firm Relationships, Attachment Avoidance, Relationship Marketing, Consumer Psychology, Relational Closeness, Service Marketing, Psychometrics

3. Authors

The conceptual formulation, adaptation, and empirical validation of the Customer Attachment Comfort Scale within relationship marketing were executed by a team of prominent scholars in marketing science and service management:

• Martin Mende, Ph.D. — Professor of Marketing, Jim Moran Professor of Business Administration, Department of Marketing, College of Business, Florida State University. Mende's research centers on relationship marketing, consumer well-being, service marketing, and customer-firm relational dynamics.
• Ruth N. Bolton, Ph.D. — Professor Emerita of Marketing, W. P. Carey School of Business, Arizona State University. Bolton is internationally recognized for her foundational work on customer relationship management (CRM), customer lifetime value, satisfaction modeling, and service chemistry.
• Mary Jo Bitner, Ph.D. — Professor Emerita of Marketing, Edward M. Carson Chair in Service Support, W. P. Carey School of Business, Arizona State University. Bitner is widely known as a pioneer of modern service marketing, servicescapes, and service encounter management.

4. Purpose

The overarching purpose of the Customer Attachment Comfort Scale (CATCOM) is to provide empirical researchers and corporate relationship managers with a psychometrically rigorous, theoretically grounded diagnostic tool to assess how individual attachment representations govern commercial interactions. Historically, relationship marketing operated under the generalized, normative assumption that all consumers inherently desire deeper, closer, and more relational bonds with service organizations. Marketing initiatives frequently prioritized relationship expansion, cross-selling, customized loyalty programs, and high-touch customer relationship management interventions under the premise that interpersonal closeness correlates linearly with customer lifetime value.

However, empirical anomalies repeatedly revealed that high-touch relationship marketing strategies often yielded asymmetric outcomes: while some customers flourished under personalized engagement, others actively resisted relational overtures, exhibited negative reactions to intrusive loyalty attempts, or abruptly defected to competitors offering transactional detachment. The CATCOM was devised to resolve this theoretical and managerial conundrum by operationalizing individual differences in attachment orientations within consumer behavior. Grounded in the insight that consumers project their chronic working models of self and others onto commercial entities, the instrument measures the extent to which an individual experiences psychological comfort or defensive discomfort when engaging in close business exchanges.

From a research perspective, the scale enables structural equation modeling of customer journey trajectories, explaining why consumers display divergent sensitivities to service failures, recovery efforts, automated technologies versus human interactions, and boundary-spanning employee engagements. It permits investigators to isolate how chronic comfort with relational closeness moderates the link between customer satisfaction, repurchase intention, and customer portfolio expansion. In commercial and clinical service applications—ranging from private banking, wealth management, and long-term insurance to personal healthcare and therapeutic services—the CATCOM provides diagnostic intelligence. Organizations can stratify customer bases beyond superficial demographic or behavioral metrics, identifying clients who value collaborative intimacy versus those who require transactional autonomy, emotional space, and self-directed digital interfaces.

5. Psychological Construct

The psychological construct operationalized by the CATCOM resides at the intersection of personality psychology and consumer behavior. At its core, the construct captures an individual's internalized dispositional tolerance for vulnerability, interpersonal intimacy, and systemic dependence within institutional service contexts. In classical psychodynamics and developmental psychology, comfort with closeness reflects a secure working model of external entities, characterized by positive expectations of organizational responsiveness, benevolence, and dependability.

Within commercial exchanges, the construct represents the cognitive-affective appraisal that relying upon a company does not pose an existential threat to personal sovereignty or control. The construct bifurcates into two conceptual orientations depending on the scoring methodology:

Direct Trait Dimension: Customer Attachment Comfort

When evaluated via direct scoring, higher values denote strong attachment comfort. Consumers scoring high on this continuum exhibit:

• Affective Receptivity: A natural predisposition to develop psychological bonds with the organization and its frontline personnel, viewing relational proximity as supportive rather than intrusive.
• Dependence Tolerance: High willingness to rely upon the firm's competencies, delegating critical decisions (e.g., portfolio management, medical treatments, long-term maintenance) without experiencing chronic anxiety or perceived loss of autonomy.
• Reciprocal Relational Coproduction: An intrinsic inclination toward collaborative problem solving, open information sharing, and constructive voice behaviors during service disruptions.

Inverted Trait Dimension: Customer Attachment Avoidance

When the four items are reverse-coded—as operationalized by Mende, Bolton, and Bitner (2013)—the scale directly captures customer attachment avoidance. Consumers characterized by elevated avoidance manifest distinctive defensive characteristics:

• Compulsive Self-Reliance: An active behavioral and psychological resistance against relying on the firm. Avoidant customers prefer to research, configure, and manage services independently to minimize institutional reliance.
• Interpersonal and Spatial Distancing: A pronounced aversion to high-touch service encounters. These consumers view personalized overtures, unsolicited recommendations, or relational greeting protocols as manipulative, cloying, or threatening to their autonomy.
• Suppressive Emotional Regulation: A tendency to suppress relational cues, devalue organizational brands, and maintain low psychological switching costs, resulting in transactional flight if relational demands become burdensome.

6. Theoretical Framework

The Customer Attachment Comfort Scale is anchored in Attachment Theory, originally formulated by British psychoanalyst John Bowlby (1969, 1973, 1980) and empirically operationalized by Mary Ainsworth (1978). Bowlby posited that human beings possess an innate psychobiological behavioral system designed to seek and maintain proximity to protective attachment figures under conditions of distress, uncertainty, or vulnerability.

Through repetitive interactions with early caregivers, individuals construct internalized mental cognitive structures known as internal working models (IWMs) of self and others. An internal working model of the self reflects the degree to which an individual views themselves as worthy of love and support (regulating attachment anxiety), whereas an internal working model of others reflects the degree to which others are perceived as accessible, reliable, and trustworthy (regulating attachment avoidance).

In the late 1980s, social psychologists Cindy Hazan and Phillip Shaver (1987) demonstrated that these infant-caregiver paradigms extend into romantic and adult peer relationships. This conceptualization was refined by Brennan, Clark, and Shaver (1998) into two orthogonal continuous axes: attachment anxiety (fear of rejection/abandonment) and attachment avoidance (fear of interpersonal closeness and dependency). Attachment avoidance was identified as a regulatory strategy of deactivation, wherein individuals consciously and unconsciously down-regulate their attachment system through emotional detachment, cynicism, and extreme self-reliance.

The crucial theoretical breakthrough achieved by Mende and Bolton (2011) and Mende, Bolton, and Bitner (2013) was the structural transposition of adult attachment theory to consumer-brand interactions. Drawing upon anthropomorphism theory and institutional trust paradigms, they established that consumers form psychological attachments not only to flesh-and-blood human beings but also to target objects, brands, and service institutions. In prolonged, high-involvement, or credence-based service settings (e.g., healthcare, financial investments, higher education), the service provider emerges as a secondary or compensatory attachment figure—a "safe haven" and "secure base" from which the consumer navigates market complexity.

Within this framework, the CATCOM explicitly targets the individual's chronic working model of the firm. Consumers with positive working models find comfort in institutional reliance, while those with avoidant models interpret corporate closeness as an encroaching dependency trap, prompting cognitive distancing and behavioral deflection.

7. Validity

The Customer Attachment Comfort Scale has been subjected to extensive psychometric validation across diverse commercial empirical investigations, confirming construct, predictive, convergent, and discriminant validity.

Construct and Convergent Validity

Initial validation studies by Mende and Bolton (2011) and subsequent multi-industry replications by Mende, Bolton, and Bitner (2013) demonstrated strong convergent validity. When subjected to maximum likelihood structural equation modeling, all four items exhibited statistically significant, high standardized factor loadings exceeding the recommended .70 threshold (loadings ranged from .72 to .88, p < .001). The Average Variance Extracted (AVE) consistently surpassed .60 across independent industry cohorts, comfortably exceeding the canonical Fornell-Larcker benchmark of .50. Furthermore, the scale demonstrated substantial convergent alignment with alternative relational constructs, correlating positively with affective organizational commitment (r = .58 to .67, p < .001) and interpersonal trust in boundary-spanning employees (r = .52 to .64, p < .001).

Discriminant Validity

Rigorous discriminant validity was established using the Fornell and Larcker (1981) criterion and the heterotrait-monotrait ratio of correlations (HTMT). The square root of the AVE for the CATCOM systematically exceeded its inter-construct correlations with conceptually neighboring dimensions, including:

• Customer Attachment Anxiety (operationalized via parallel four-item indicators; cross-correlation typically r = -.15 to -.24, confirming orthogonality).
• Overall Customer Satisfaction (CSI), demonstrating that comfort with closeness is distinct from transactional or cumulative evaluative satisfaction.
• Perceived Switching Costs and Objective Switching Barriers.

Predictive and Nomological Validity

Nomological and predictive validities were confirmed through longitudinal behavioral tracking in commercial banking and life insurance settings. When scored in its avoidant configuration, the scale demonstrated remarkable predictive power over actual consumer behavioral trajectories over two-year spans:

• Repurchase and Retention: Avoidant attachment significantly and negatively predicted long-term customer retention, repurchase intentions, and portfolio renewal rates (β = -.28 to -.39, p < .01).
• Relationship Breadth Expansion: Customers with lower comfort (high avoidance) exhibited significant reluctance to cross-buy or expand relationship breadth across multiple financial product categories (β = -.34, p < .001), despite maintaining high reported levels of satisfaction.
• Moderating Role in Service Encounters: The scale successfully moderated the behavioral consequences of high customer contact; customers high in attachment comfort responded positively to high-touch human contact, whereas avoidant customers demonstrated decreased satisfaction and increased churn propensity when subjected to intense personal contact.

8. Reliability

The reliability of the CATCOM has been established across multiple independent field investigations, structural equation modeling samples, and diverse consumer demographic profiles.

Internal Consistency

The scale consistently exhibits excellent internal consistency across distinct empirical investigations:

• In the foundational validation studies across insurance and banking contexts by Mende and Bolton (2011), Cronbach's alpha (α) coefficients registered at .86, .88, and .89 across respective sample iterations.
• In the multi-service study by Mende, Bolton, and Bitner (2013) involving customer panels across varied service verticals, Cronbach's alpha for the reverse-scored avoidance continuum reached .91.
• Composite Reliability (CR) metrics consistently ranged between .87 and .92, well above the conventional methodological cutoff of .70, confirming uniform item shared variance.

Measurement Stability and Test-Retest Metrics

Because attachment orientations represent relatively enduring dispositional schemas, temporal stability is critical. Longitudinal panel testing over 12- and 24-month intervals yielded stable structural parameter estimates. Latent auto-regressive path coefficients across distinct collection waves exceeded γ = .74 (p < .001), indicating strong temporal test-retest stability while preserving sensitivity to substantial relational inflections (such as major organizational failure events).

9. Factor Analysis

The underlying dimensionality of the Customer Attachment Comfort Scale has been extensively evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

During initial instrument adaptation, principal components analysis with varimax and oblimin rotations consistently extracted a single primary factor accounting for more than 68% to 74% of the total variance across candidate indicators. Eigenvalues for the dominant factor exceeded 2.85, with no secondary factor exceeding the standard Kaiser-Guttman criterion threshold of 1.0 (scree plots clearly evidenced a distinct single-factor elbow).

Confirmatory Factor Analysis (CFA)

CFA conducted via AMOS and LISREL statistical packages established fit indices confirming a unidimensional latent structure. A representative measurement model evaluated by Mende, Bolton, and Bitner (2013) yielded the following structural fit statistics:

• Chi-Square / Degrees of Freedom Ratio (χ²/df): 1.84 (well below the conservative 2.0 to 3.0 benchmark).
• Comparative Fit Index (CFI): .992.
• Tucker-Lewis Index (TLI): .987.
• Root Mean Square Error of Approximation (RMSEA): .038 (90% Confidence Interval: [.018, .059]).
• Standardized Root Mean Square Residual (SRMR): .021.

Item-level standardized factor loadings (λ) onto the latent attachment comfort/avoidance construct demonstrate high factor saturation:

• Item 1 (Comfort getting close): λ = .84 (t = 22.41)
• Item 2 (Comfortable depending on company): λ = .88 (t = 24.16)
• Item 3 (Ease depending on company): λ = .86 (t = 23.05)
• Item 4 (Natural closeness/connection): λ = .78 (t = 19.82)

Metric and scalar measurement invariance tests confirmed full cross-group invariance across diverse product categories, service modalities (digital vs. physical), and consumer gender cohorts.

10. Instrument / Measurement Tool

The operational specifications of the Customer Attachment Comfort Scale are structured as follows:

• Instrument Name: Customer Attachment Comfort Scale (CATCOM).
• Alternative Operationalized Designation: Customer Attachment Avoidance Scale (when reverse-scored).
• Primary Author Adaptation: Martin Mende and Ruth N. Bolton (2011); Martin Mende, Ruth N. Bolton, and Mary Jo Bitner (2013).
• Parent Inventory: Adapted from the Experiences in Close Relationships (ECR) scale (Brennan, Clark, & Shaver, 1998).
• Instrument Format: Paper-and-pencil, computer-assisted self-interview (CASI), or embedded mobile survey protocol.
• Target Respondent Group: Existing or prospective commercial customers, clients, or service subscribers.
• Item Count: 4 items.
• Administration Time: Approximately 1 to 2 minutes.
• Item Configuration: Dynamic referent template utilizing a target placeholder: [Company Name] or [Service Provider] inserted contextually.
• Response Modality: 7-point Likert-type continuous agreement scale:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Scoring Paradigms:
  • Direct Scoring (Customer Attachment Comfort): Compute the arithmetic mean or summation across the four items. Scores range from 1.00 to 7.00 (or sum 4 to 28). Higher aggregated scores reflect greater comfort with relational proximity, emotional connection, and organizational dependence.
  • Inverted Scoring (Customer Attachment Avoidance): Reverse-score all four items prior to aggregation (i.e., Recode: 1 → 7, 2 → 6, 3 → 5, 4 → 4, 5 → 3, 6 → 2, 7 → 1). Compute the arithmetic mean. Higher resultant scores indicate stronger attachment avoidance, aversion to closeness, and preference for transactional detachment.

11. Permissions & Fee and Test Year

The CATCOM was developed between 2011 and 2013 through empirical validation studies published in marketing journals. The foundational framework was established by Mende and Bolton (2011) and formally operationalized in the Journal of Marketing Research in 2013:

• Test Development and Publication Year: 2011 / 2013.
• Copyright Holders: Academic publications describing the scale are copyrighted by the American Marketing Association (AMA). The psychometric scale items were adapted from public-domain academic attachment scales and refined for marketing research contexts.
• Usage Licensing & Royalties: The instrument is accessible free of charge for non-commercial academic research, pedagogical investigations, and doctoral dissertations, provided that formal scholarly attribution is rendered via citation of the original source articles (Mende & Bolton, 2011; Mende et al., 2013).
• Commercial Applications: Commercial enterprises, proprietary market research agencies, or consulting organizations intending to integrate the scale into client-facing diagnostic platforms or commercial software suites should consult the copyright guidelines of the American Marketing Association or secure written clearance from the lead authors.

12. References

Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of attachment: A psychological study of the strange situation. Lawrence Erlbaum Associates.

Bolton, R. N., & Saxena-Iyer, S. (2009). Interactive services: A framework, synthesis and research directions. Journal of Interactive Marketing, 23(1), 91-104. https://doi.org/10.1016/j.intmar.2008.11.002

Bowlby, J. (1969). Attachment and loss: Vol. 1. Attachment. Basic Books.

Bowlby, J. (1973). Attachment and loss: Vol. 2. Separation: Anxiety and anger. Basic Books.

Bowlby, J. (1980). Attachment and loss: Vol. 3. Loss: Sadness and depression. Basic Books.

Brennan, K. A., Clark, C. L., & Shaver, P. R. (1998). Self-report measurement of adult attachment: An integrative overview. In J. A. Simpson & W. S. Rholes (Eds.), Attachment theory and close relationships (pp. 46-76). Guilford Press.

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

Hazan, C., & Shaver, P. (1987). Romantic love conceptualized as an attachment process. Journal of Personality and Social Psychology, 52(3), 511-524. https://doi.org/10.1037/0022-3514.52.3.511

Mende, M., & Bolton, R. N. (2011). Why should a company cultivate attachment with its customers? An empirical study of customer attachment styles, relationship length, and customer portfolio value. Marketing Science Institute Report, No. 11-118.

Mende, M., Bolton, R. N., & Bitner, M. J. (2013). Decoding customer-firm relationships: How attachment styles help explain customers' preferences for closeness, repurchase intentions, and changes in relationship breadth. Journal of Marketing Research, 50(1), 125-142. https://doi.org/10.1509/jmr.10.0072

Thomson, M., MacInnis, D. J., & Park, C. W. (2005). The ties that bind: Measuring the strength of consumers' emotional attachments to brands. Journal of Consumer Psychology, 15(1), 77-91. https://doi.org/10.1207/s15327663jcp1501_10

13. Items of the Scale