Customer Journey: Touchpoint Consistency (CJD-CON)

Abstract

The Customer Journey: Touchpoint Consistency (CJD-CON) scale is a four-item psychometric instrument designed to evaluate consumer perceptions of coherence, uniformity, and concerted alignment across an organization’s multiple brand touchpoints. Developed by Christian Kuehn, Dario Jozic, and Christian Homburg (2019) as an integral first-order facet of the overarching Effective Customer Journey Design (CJD) construct, the CJD-CON operationalizes the degree to which a customer perceives a brand's physical, digital, and interpersonal contact points as presenting a seamless, non-contradictory identity. Assessed on a 7-point Likert response format ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the instrument demonstrates robust psychometric integrity across diverse empirical contexts. In its foundational cross-national validation involving 4,814 consumers across the United States ($n = 2,408$) and Europe ($n = 2,406$), the scale exhibited exceptional convergent validity, demonstrating an Average Variance Extracted (AVE) of .71 in the U.S. sample and .69 in the European sample. Discriminant validity from neighboring customer journey dimensions—specifically touchpoint flexibility and journey continuity—was established via the Fornell–Larcker criterion and the heterotrait-monotrait ratio of correlations (HTMT). Structural equation modeling confirms that touchpoint consistency significantly diminishes customer cognitive load, enhances journey-level customer satisfaction, and drives downstream behavioral loyalty and brand advocacy. The scale serves as a standardized assessment tool for psychometricians, marketing scientists, and consumer psychologists investigating omnichannel customer experiences, cognitive alignment, and integrated marketing communications (IMC).

Keywords

Customer Journey Design, Touchpoint Consistency, Omnichannel Retailing, Integrated Marketing Communications, Cognitive Coherence, Customer Experience Management, Scale Validation, Psychometrics, Brand Touchpoints, Structural Equation Modeling, Consumer Perceptions

Authors

The scale was developed and psychometrically validated by scholars affiliated with the Department of Marketing and the Institute for Market-Oriented Management (IMU) at the University of Mannheim, Germany:

• Christian Kuehn: University of Mannheim, Mannheim, Germany.
• Dario Jozic: University of Mannheim, Mannheim, Germany.
• Christian Homburg: Professor of Marketing, Department of Marketing, University of Mannheim, Germany; and Professorial Fellow, Department of Management and Marketing, University of Melbourne, Australia. Renowned for seminal contributions to customer relationship management, market orientation, and quantitative methodology in consumer behavior.

Purpose

In modern consumption environments, customers rarely interact with a firm through an isolated channel. Instead, they navigate complex, non-linear trajectories encompassing mobile applications, e-commerce storefronts, brick-and-mortar retail environments, conversational artificial intelligence interfaces, third-party social media, and customer service hotlines. The primary purpose of the Customer Journey: Touchpoint Consistency (CJD-CON) scale is to quantify the subjective psychological harmony and structural synchronization experienced by consumers as they traverse these disparate contact points.

From an applied research perspective, organizations frequently invest significant capital into multivarious customer contact platforms, yet suffer from organizational silos where individual departments (e.g., digital marketing, retail operations, customer support) communicate discordant value propositions, visual identities, or service standards. Such discrepancies induce friction, cognitive dissonance, and decision paralysis. The CJD-CON provides a diagnostic metric to detect experiential fragmentation before it degrades brand equity. In consumer psychology and behavioral science research, the scale allows investigators to isolate consistency as an independent, mediating, or moderating variable within broader nomological networks of omnichannel journey performance.

Specifically, the instrument addresses:

• The measurement of brand identity integrity across diverse modalities (e.g., human-to-human versus human-to-algorithm interactions).
• The assessment of visual, verbal, and procedural uniformity as perceived by the consumer rather than designed by the organization.
• The empirical evaluation of Integrated Marketing Communications (IMC) operationalization at the journey level.
• The diagnostic identification of cross-channel channel discrepancies that trigger cognitive load and customer churn.

Psychological Construct

The psychological construct underlying the CJD-CON scale is perceived touchpoint consistency, defined as the customer’s holistic cognitive appraisal that an organization’s multiple interaction channels convey an integrated, harmonious, and unified brand persona. Rather than evaluating the functional efficiency or aesthetic appeal of an individual channel in isolation (such as website usability or store atmospherics), this construct assesses the higher-order perceptual gestalt emerging from multi-channel exposure.

Perceived touchpoint consistency operates along several cognitive and sensory dimensions:

• Informational and Semantic Coherence: The extent to which product specifications, pricing architecture, promotional offers, and corporate policies remain identical across channels without conflicting claims or communicative ambiguity.
• Aesthetic and Stylistic Uniformity: The harmonization of sensory branding cues, including color palettes, typography, visual layouts, tone of voice, and physical spatial design, allowing the consumer to recognize the brand instantly across transitions.
• Operational and Process Synchronicity: The coordination of policies and service logics, such as consistent return processes, synchronized account histories, and parallel customer support protocols regardless of contact modality.

When consistency is high, the consumer experiences a fluent cognitive progression through the pre-purchase, purchase, and post-purchase stages of the journey. When consistency is compromised, the customer experiences experiential dissonance: encountering conflicting information between online FAQs and in-store personnel, disparate visual branding across web and mobile platforms, or disjointed loyalty reward tracking. Consequently, perceived consistency acts as a psychological buffer against uncertainty and disorientation in fragmented omnichannel spaces.

Theoretical Framework

The conceptual foundation of the CJD-CON scale draws upon several intersecting paradigms within psychological science and marketing theory:

1. Gestalt Psychology and Perceptual Organization

Rooted in early 20th-century Gestalt psychology (e.g., Wertheimer, Koffka), the framework presumes that human perception is inherently holistic. Consumers do not process individual touchpoints as isolated, atomistic events; rather, they synthesize multiple discrete stimuli into an organized whole based on principles such as similarity, continuity, and closure. The CJD-CON measures the psychological success of this holistic synthesis. A brand that achieves high touchpoint consistency enables the consumer to form an unambiguous mental representation of the firm.

2. Cognitive Consistency and Dissonance Theory

Drawing on Leon Festinger’s (1957) Cognitive Dissonance Theory, individuals strive for internal psychological consistency. When a consumer encounters conflicting touchpoint cues (e.g., a premium web design contrasted with a neglected retail store or unhelpful telephone support), cognitive dissonance is triggered. This tension increases subjective mental strain, raises perceived transaction risk, and reduces overall satisfaction. High touchpoint consistency preserves cognitive equilibrium.

3. Processing Fluency Theory

Originating in cognitive psychology (e.g., Reber, Schwarz, & Winkielman, 2004), processing fluency posits that the subjective ease with which information is processed influences evaluative judgments. Harmonious touchpoint design facilitates conceptual and perceptual fluency. When touchpoint transitions are predictable, harmonious, and coordinated, consumers expend minimal cognitive resources to interpret brand cues, which yields positive affective evaluations and heightened trust.

4. Integrated Marketing Communications (IMC)

In strategic management, IMC theory asserts that all messaging, brand contact points, and customer-facing activities must speak with “one voice.” Kuehn, Jozic, and Homburg (2019) translated this firm-centric strategic objective into an empirical, customer-centric psychometric measure, evaluating whether the intended strategic consistency is genuinely perceived by end users.

Validity

The psychometric properties of the CJD-CON scale were systematically validated by Kuehn, Jozic, and Homburg (2019) using rigorous multi-sample, cross-national designs across varying industries (e.g., banking, consumer electronics, fashion apparel, travel services).

Convergent Validity

Convergent validity evaluates whether the operationalized items represent the latent construct adequately. In the primary empirical study totaling 4,814 respondents, the Average Variance Extracted (AVE) values comfortably exceeded the standard threshold of .50 recommended by Fornell and Larcker (1981):

• U.S. Sample ($n = 2,408$): $\text{AVE} = 0.71$
• European Sample ($n = 2,406$): $\text{AVE} = 0.69$

All standardized factor loadings of the four individual items onto the latent consistency dimension exceeded .80 ($p < .001$), confirming substantial shared variance among items.

Discriminant Validity

To establish that touchpoint consistency represents a distinct construct rather than a mirror of other customer journey dimensions (such as touchpoint flexibility or journey continuity), the authors applied the classical Fornell–Larcker criterion. The square root of the AVE for the consistency dimension exceeded the inter-construct correlations with all other latent variables across both the U.S. and European datasets. Furthermore, evaluations using the modern Heterotrait-Monotrait Ratio of Correlations (HTMT) yielded values significantly below the conservative cutoff of .85, confirming robust discriminant validity.

Nomological and Predictive Validity

Structural equation modeling across both national cohorts verified that touchpoint consistency significantly and positively predicted customer journey satisfaction ($eta > .35, p < .001$), brand equity, and repeat purchase intentions. Moreover, consistency demonstrated a strong negative relationship with perceived customer journey effort and choice confusion, validating its theorized psychological function in reducing friction.

Reliability

The CJD-CON demonstrates exceptional internal consistency reliability across varied empirical studies, consumer demographics, and product categories:

• Composite Reliability (CR): The composite reliability coefficients surpassed standard psychometric standards across both validation samples, registering at $\text{CR} = .91$ for the U.S. cohort and $\text{CR} = .90$ for the European cohort (well above the .70 benchmark).
• Cronbach’s Alpha ($lpha$): Traditional internal consistency estimations yielded Cronbach’s alpha values exceeding .88 across samples, signifying minimal measurement error attributable to item heterogeneity.
• Scale Homogeneity: Item-to-total correlations for all four items routinely range between .72 and .84, confirming that each statement contributes significantly and proportionally to the underlying latent construct without redundant item phrasing.

Factor Analysis

The dimensionality and structural stability of the CJD-CON scale were analyzed via sequential exploratory (EFA) and confirmatory factor analyses (CFA):

Exploratory Factor Analysis (EFA)

During preliminary scale purification with independent calibration samples, EFA utilizing principal axis factoring and oblique rotation clearly extracted three clean first-order factors corresponding to the hypothesized dimensions of Effective Customer Journey Design (CJD): Consistency, Flexibility, and Continuity. The four items of the CJD-CON loaded uniquely onto a single factor with eigenvalue $> 1.0$, exhibiting factor loadings ranging from .81 to .89 and cross-loadings onto alternative dimensions remaining below .20.

Confirmatory Factor Analysis (CFA)

Subsequent CFA conducted on the large-scale validation samples ($N = 4,814$) evaluated both a first-order independent factor model and a second-order CJD structural model. The measurement model for the touchpoint consistency dimension exhibited excellent global fit indices across both geographic samples:

• Comparative Fit Index (CFI): $> .96$ (both U.S. and European samples)
• Tucker-Lewis Index (TLI): $> .95$
• Root Mean Square Error of Approximation (RMSEA): $< .05$ (90% CI [.041, .058])
• Standardized Root Mean Square Residual (SRMR): $< .035$

The statistical significance of all standardized regression weights ($p < .001$) and absence of problematic modification indices supported the unidimensionality of the four-item subscale.

Instrument / Measurement Tool

The operational specifications of the instrument are detailed below:

• Instrument Name: Customer Journey: Touchpoint Consistency Subscale (CJD-CON)
• Authors: Christian Kuehn, Dario Jozic, and Christian Homburg (2019)
• Instrument Type: Psychometric self-report survey scale / multi-item latent questionnaire
• Target Population: Consumers, service recipients, and retail clients evaluating multi-channel brand relationships
• Item Count: 4 items
• Response Format: 7-point Likert scale (1 = Strongly disagree, 2 = Disagree, 3 = Somewhat disagree, 4 = Neither agree nor disagree, 5 = Somewhat agree, 6 = Agree, 7 = Strongly agree)
• Scoring Rules: All four items are positively worded. There are no reverse-scored items. Scale scores are calculated either by computing the arithmetic mean across the four items (yielding an index from 1 to 7) or by summing raw responses (ranging from 4 to 28), where higher values indicate greater perceived touchpoint consistency. In structural equation modeling, latent scores can be extracted via standardized item loadings.
• Administration Time: Approximately 1 to 2 minutes.

Permissions & Fee and Test Year

The CJD-CON scale was developed and published in 2019 in the Journal of the Academy of Marketing Science. Under academic fair-use conventions, the scale items may be employed for non-commercial scholarly research, university education, and behavioral science investigations without royalty fees, provided proper citation is attributed to the original authors (Kuehn, Jozic, & Homburg, 2019). Commercial implementations, proprietary customer journey audit frameworks, or large-scale enterprise customer experience measurement systems may require permissions or licensing through the publisher (Springer Nature) or the corresponding academic authors.

References

• Festinger, L. (1957). A Theory of Cognitive Dissonance. Stanford University 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
• Kuehn, C., Jozic, D., & Homburg, C. (2019). Effective customer journey design: Consumers’ conception, measurement, and consequences. Journal of the Academy of Marketing Science, 47(3), 551–568. https://doi.org/10.1007/s11747-018-00625-7
• Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
• Reber, R., Schwarz, N., & Winkielman, P. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience? Personality and Social Psychology Review, 8(4), 364–382. https://doi.org/10.1207/s15327957pspr0804_3

Items of the Scale