Customer vs Product Orientation of Marketing/Sales Unit (CPOMS)

1. Abstract

The Customer vs Product Orientation of Marketing/Sales Unit (CPOMS) scale is a specialized organizational psychometric instrument developed by Christian Homburg and Ove Jensen in their seminal 2007 investigation into interdepartmental dynamics. Published in the Journal of Marketing, the instrument evaluates the strategic and cognitive orientation of organizational subunits—specifically the marketing department and the sales department—along a continuum ranging from product-centricity to customer-centricity. Grounded in the sociological and organizational concept of thought worlds, the CPOMS scale operationalizes orientation across three core organizational processes: the definition of strategies, the alignment of volume and revenue plans, and the structural basis for performance evaluation.

The instrument utilizes a 3-item, 7-point semantic differential response format anchored by 1 (“clearly product-related”) and 7 (“clearly customer-related”). It is administered dyadically across both marketing and sales executives within the same enterprise, permitting the calculation of unit-level mean profiles as well as interdepartmental thought-world divergence scores through squared Euclidean distance modeling. Across empirical validation studies involving cross-industry samples of business-to-business (B2B) and business-to-consumer (B2C) corporations, the CPOMS scale has demonstrated robust psychometric properties, including high internal consistency reliability (composite reliability and Cronbach’s alpha typically exceeding .80), convergent validity, discriminant validity against adjacent constructs such as time horizon and interpersonal competencies, and strong criterion-related predictive validity regarding cross-functional cooperation, interdepartmental conflict, and overall business performance.

2. Keywords

Customer orientation, Product orientation, Marketing-sales interface, Thought worlds, Cross-functional alignment, Psychometrics, Organizational psychology, Scale validation, Interdepartmental differentiation, Strategic management, Performance evaluation, B2B marketing.

3. Authors

The Customer vs Product Orientation of Marketing/Sales Unit scale was conceptualized, operationalized, and psychometrically validated by two prominent scholars in quantitative marketing strategy and sales management:

• Christian Homburg, Ph.D.: Professor of Marketing and Chair of the Marketing Department at the University of Mannheim, Germany, and Professorial Research Fellow at the University of Manchester, Alliance Manchester Business School, United Kingdom. Dr. Homburg is an internationally acknowledged authority on market-oriented management, customer relationship management, and sales and marketing strategy, having published extensively in top-tier journals such as the Journal of Marketing, Journal of Marketing Research, and Strategic Management Journal.
• Ove Jensen, Ph.D.: Full Professor of Business Administration and holder of the Chair of Business-to-Business Marketing and Sales at the WHU – Otto Beisheim School of Management, Vallendar, Germany. Dr. Jensen’s research focuses on the marketing-sales interface, business-to-business relationship management, sales force organization, and quantitative measurement models in corporate strategy.

Correspondence regarding the original scale development can be directed to the University of Mannheim Business School, Department of Marketing, L 5, 1, 68131 Mannheim, Germany, or via WHU – Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany.

4. Purpose

The primary objective of the CPOMS scale is to quantify the cognitive and strategic posture of organizational departments regarding whether their operational and strategic architecture is organized primarily around products or around customers. Within modern corporate enterprises, the boundary between marketing and sales frequently represents a critical organizational faultline characterized by cultural clashes, mutual distrust, strategic misalignment, and operational friction. While both departments are tasked with revenue generation and customer acquisition, their daily practices, structural incentives, and mental models often diverge dramatically.

Prior to the work of Homburg and Jensen (2007), empirical research into the marketing-sales interface suffered from an absence of validated, fine-grained psychometric tools capable of capturing specific cognitive differences—termed “thought worlds”—between these two units. Existing constructs, such as the generic market orientation frameworks developed by Kohli and Jaworski (1990) or Narver and Slater (1990), evaluated orientation at the aggregate corporate level. Such macro-level approaches inherently masked intra-organizational heterogeneity, failing to capture how marketing units and sales units differ internally in their operational values and strategic priorities.

The CPOMS scale was engineered to resolve this theoretical and empirical gap. Specifically, it enables researchers and organizational diagnosticians to:

• Assess Unit-Level Strategic Mindsets: Independently profile the extent to which a marketing department or a sales department anchors its strategic decisions, revenue models, and performance appraisals around product categories versus customer segments or accounts.
• Measure Interdepartmental Cognitive Distance: Compute the exact degree of thought-world divergence between marketing and sales personnel within the same corporate system using mathematical difference modeling.
• Diagnose the Roots of Cross-Functional Conflict: Provide an empirical basis for identifying whether interpersonal conflict or operational friction stems from divergent strategic orientations (e.g., sales pursuing customized client outcomes while marketing prioritizes standardized product portfolio profitability).
• Inform Organizational Design and Human Resource Interventions: Guide corporate restructuring, interdepartmental job rotation, cross-functional training initiatives, and executive KPI design by highlighting misaligned evaluation metrics across departmental boundaries.

5. Psychological Construct

The psychological and organizational construct captured by the CPOMS scale is situated at the intersection of organizational cognition, departmental culture, and strategic management. Fundamentally, an organizational unit’s thought world encompasses its shared interpretive schemes, cognitive schemas, occupational values, and behavioral norms that shape how information from the business environment is filtered, interpreted, and acted upon.

The Product vs. Customer Continuum

The CPOMS construct is conceptualized as a bipolar unidimensional continuum spanning from extreme product orientation to extreme customer orientation. Rather than viewing these two orientations as completely independent orthogonal dimensions, the construct captures an internal resource allocation and attentional priority trade-off within departmental workflow:

• Product Orientation (Anchor: 1): A cognitive and operational focus on product lines, technical specifications, brand management, portfolio lifecycle optimization, and standardized product profitability. Units exhibiting high product orientation concentrate their analytical efforts on product features, quality standards, engineering capabilities, and margins per product unit. In such environments, the market is viewed through the prism of products seeking buyers.
• Customer Orientation (Anchor: 7): A cognitive and operational focus on customer accounts, client relationships, problem-solving, market segments, customer lifetime value, and tailored solution delivery. Units exhibiting high customer orientation organize their work around client business models, account-specific needs, relational retention, and customer portfolio profitability. The market is viewed as a collection of diverse client needs requiring tailored bundles of products and services.

Core Operational Facets

The construct manifests across three critical operational domains within an organizational subunit:

1. Definition of Strategies: Refers to how the unit conceives and structures its forward-looking initiatives. A product-oriented strategic formulation establishes growth targets around product lines, new product launches, brand extensions, and product-specific market penetration. Conversely, a customer-oriented strategic formulation defines growth objectives in terms of target market segments, account penetration, client share-of-wallet, customer acquisition-retention dynamics, and customized solution deployment.
2. Alignment of Volume and Revenue Plans: Pertains to the structural unit of analysis used in operational budgeting, sales quotas, and forecasting. Under a product-oriented architecture, forecasts, targets, and volume metrics are tracked by product categories, SKU volumes, and product-line revenue targets. In contrast, under a customer-oriented architecture, revenue and volume forecasts are aggregated around customer tiers, strategic key accounts, regional buyer groups, or vertical industry segments.
3. Basis for Performance Evaluation: Captures the operational criteria and metrics by which departmental personnel are evaluated, rewarded, and incentivized. In product-oriented units, executive compensation and performance appraisals are linked to product sales quotas, brand margin targets, and successful product commercialization. In customer-oriented units, appraisals and bonuses are tied to customer satisfaction indices, net promoter scores, client retention rates, account profitability, and account relationship growth.

6. Theoretical Framework

The development and application of the CPOMS scale are anchored in three dominant theoretical paradigms: Organizational Contingency Theory, Upper Echelons Theory, and Dougherty’s Theory of Departmental Thought Worlds.

Thought Worlds and Interdepartmental Differentiation

The foundational framework underlying the scale is Deborah Dougherty’s (1992) concept of organizational thought worlds. Dougherty posited that modern corporations are structured into specialized functional units to handle complex, distinct environmental demands. However, this division of labor naturally fosters distinct “interpretive communities” or thought worlds within the firm. Each thought world is characterized by a specific cognitive lens: it determines what information is perceived as salient, how ambiguous data are interpreted, and what organizational goals are prioritized.

Drawing on Lawrence and Lorsch’s (1967) classic contingency model of organizational differentiation and integration, Homburg and Jensen (2007) recognized that marketing and sales constitute two highly distinct occupational thought worlds. Historically, sales units interact directly with individual buyers on a daily basis, naturally orienting their cognitive models toward immediate customer problems, personalized negotiation, and account satisfaction. Marketing units, conversely, are typically removed from direct buyer interaction, operating at an aggregate level of market analysis, competitive positioning, and product brand management. The CPOMS scale provides the quantitative apparatus to capture this specific dimensional difference in cognitive orientation.

Upper Echelons and Strategic Alignment

The scale also builds upon Hambrick and Mason’s (1984) Upper Echelons Theory, which asserts that strategic choices and organizational outcomes are direct reflections of the cognitive bases, values, and perceptual limitations of operational decision-makers. When marketing and sales executives exhibit highly divergent thought worlds regarding customer versus product focus, cognitive distance increases. While a moderate degree of functional differentiation can provide valuable cognitive diversity and environmental sensing capabilities, excessive thought-world differences create barriers to communication, operational friction, and interdepartmental conflict, ultimately degrading market performance.

7. Validity

The psychometric validity of the CPOMS scale was rigorously evaluated by Homburg and Jensen (2007) through a multi-stage empirical research design involving key informants from both marketing and sales divisions across hundreds of medium-to-large business enterprises.

Construct and Convergent Validity

Construct validity was established through confirmatory factor analysis (CFA) within structural equation modeling (SEM) frameworks. The three indicators loaded significantly and substantially onto the latent customer versus product orientation construct for both marketing and sales units. Standardized factor loadings across all three items routinely exceeded the conventional .70 threshold ($p < .001$), demonstrating high convergent validity. The average variance extracted (AVE) for the construct surpassed the recommended .50 benchmark, confirming that the latent variable captures more variance from its specified indicators than from measurement error.

Discriminant Validity

Discriminant validity was verified using the Fornell-Larcker criterion. The AVE of the customer versus product orientation construct was significantly greater than the squared correlation between this construct and adjacent organizational thought-world dimensions, such as:

• Time Horizon: The unit’s cognitive focus on short-term tactical milestones versus long-term strategic goals.
• Competence Orientation: Departmental reliance on analytical and conceptual capabilities versus interpersonal and relationship-building skills.
• Corporate Interdependence: The perceived degree of mutual operational dependence between functional departments.

Chi-square difference tests comparing unconstrained models with models constraining the inter-construct correlation to unity ($phi = 1.0$) further demonstrated superior fit for the unconstrained solutions ($\Delta\chi^2 > 3.84, p < .05$), confirming that CPOMS is empirically distinct from other organizational culture and interface constructs.

Criterion-Related and Predictive Validity

The predictive validity of the scale is robust. In the original Homburg and Jensen (2007) study, thought-world divergence in customer versus product orientation—operationalized as the squared difference between the marketing score and the sales score ($[Marketing – Sales]^2$)—exhibited a statistically significant negative association with the quality of interdepartmental cooperation ($eta = -.21, p < .01$) and a direct positive association with dysfunctional interdepartmental conflict ($eta = .18, p < .05$). Furthermore, departmental alignment on this dimension demonstrated significant indirect effects on overall business performance metrics, including market share growth, return on sales, and new product success rates.

8. Reliability

The CPOMS scale possesses strong internal consistency across diverse empirical research settings, functional subsamples, and cultural environments.

Internal Consistency Metrics

In the original validation study by Homburg and Jensen (2007), internal consistency reliability was assessed independently for the marketing unit and the sales unit subsamples:

• Marketing Unit Subsample: The composite reliability (CR) was reported at .82, and Cronbach’s alpha ($lpha$) was .81. The average variance extracted (AVE) was .61.
• Sales Unit Subsample: The composite reliability was reported at .84, with a Cronbach’s alpha of .83 and an AVE of .64.

Replication studies in cross-cultural organizational settings (e.g., European and North American industrial manufacturing, consumer packaged goods, and technological solutions providers) have consistently affirmed internal consistency parameters ranging between .78 and .88, well above the standard psychometric threshold of .70 recommended for organizational and behavioral research by Nunnally (1978).

Inter-Rater Reliability and Agreement

When multiple informants within the same marketing or sales unit complete the scale, researchers have evaluated within-group agreement using the $r_{wg(j)}$ index (James, Demaree, & Wolf, 1984) and intraclass correlation coefficients (ICC[1] and ICC[2]). Typical $r_{wg}$ values for the scale exceed .75, indicating high intra-unit consensus and justifying the aggregation of individual respondent scores to the departmental level of analysis.

9. Factor Analysis

The dimensionality of the CPOMS scale has been verified through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Confirmatory Factor Analysis and Model Fit

In structural equation modeling analyses utilizing maximum likelihood estimation, the three-item single-factor structure demonstrated exceptional model fit indices. In standard three-indicator models, a single-factor CFA is just-identified ($df = 0$); however, when integrated into a larger measurement model encompassing multiple thought-world dimensions and performance criteria, the measurement model exhibited superior fit parameters:

• $\chi^2 / df$ Ratio: Values ranged between 1.42 and 1.85 (well below the conservative threshold of 2.0 or 3.0).
• Comparative Fit Index (CFI): Reported values typically exceeded .96 (benchmark $ge .95$).
• Tucker-Lewis Index (TLI / NNFI): Reported values exceeded .95.
• Root Mean Square Error of Approximation (RMSEA): Values remained between .038 and .052 (benchmark $le .06$ for close fit).
• Standardized Root Mean Square Residual (SRMR): Values ranged between .029 and .041 (benchmark $le .08$).

Factor Loadings across Units

The standardized factor loadings ($lambda$) for the three items in structural baseline models are presented in Table 1 below:

Measurement invariance testing across marketing and sales units confirmed metric (weak) and scalar (strong) invariance, indicating that the scale functions equivalently across both departmental environments and permitting direct mean comparisons and distance calculations.

10. Instrument / Measurement Tool

• Test Type: Organizational psychometric survey / Departmental thought-world profiling instrument.
• Format: Paper-and-pencil questionnaire, enterprise self-report survey, or computer-assisted web interview (CAWI).
• Target Informants: Senior marketing managers, brand managers, sales directors, commercial key account leaders, and cross-functional team members.
• Item Count: 3 items per department.
• Administration Format: Dyadic administration. The scale is completed by marketing personnel regarding the marketing unit, and by sales personnel regarding the sales unit. In single-informant designs, key executives may assess both units comparatively.
• Response Scale: 7-point semantic differential scale (1 = clearly product-related to 7 = clearly customer-related).
• Scoring and Gap Metric Computation:
  • Unit Mean Score: Calculated as the arithmetic mean of the three items for a given unit:

    $$\bar{X}_{Unit} = \frac{\sum_{i=1}^{3} Item_i}{3}$$

    A score of 1.0 reflects complete product orientation, a score of 4.0 indicates an equal balance, and a score of 7.0 reflects complete customer orientation.

  • Thought-World Difference Score ($D_{MS}$): Following Homburg and Jensen (2007), interdepartmental thought-world divergence can be computed as the sum of squared differences across the corresponding items:

    $$D_{MS} = \sum_{i=1}^{3} (Item_{i, Marketing} – Item_{i, Sales})^2$$

    Alternatively, a squared difference between departmental construct means ($[\bar{X}_{Marketing} – \bar{X}_{Sales}]^2$) is employed in structural equation modeling to represent cognitive distance.

11. Permissions & Fee and Test Year

The CPOMS instrument was formally published in 2007 by the American Marketing Association (AMA) in the Journal of Marketing. The instrument was developed within an academic research context and is widely accessible for non-commercial scholarly research, university instruction, and doctoral dissertations under standard academic fair-use conventions, provided that appropriate bibliographic attribution is given to Homburg and Jensen (2007).

Commercial deployment, executive consulting diagnostics, inclusion in proprietary enterprise software platforms, or third-party assessment benchmarking may require written permission or licensing arrangements from the copyright holder (the American Marketing Association) or the original authors. Researchers seeking to implement the tool in large-scale corporate field studies are encouraged to consult the original journal article or contact the authors directly for guidance regarding contextual adaptation and multi-informant sampling designs.

12. References

• Dougherty, D. (1992). Interpretive barriers to successful product innovation in large firms. Organization Science, 3(2), 179–202. https://doi.org/10.1287/orsc.3.2.179
• Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9(2), 193–206. https://doi.org/10.5465/amr.1984.4277628
• Homburg, C., & Jensen, O. (2007). The thought worlds of marketing and sales: Which differences make a difference? Journal of Marketing, 71(3), 124–142. https://doi.org/10.1509/jmkg.71.3.124
• James, L. R., Demaree, R. G., & Wolf, G. (1984). Estimating within-group interrater reliability with and without response bias. Journal of Applied Psychology, 69(1), 85–98. https://doi.org/10.1037/0021-9010.69.1.85
• Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: The construct, research propositions, and managerial implications. Journal of Marketing, 54(2), 1–18. https://doi.org/10.1177/002224299005400201
• Lawrence, P. R., & Lorsch, J. W. (1967). Differentiation and integration in complex organizations. Administrative Science Quarterly, 12(1), 1–47. https://doi.org/10.2307/2391211
• Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20–35. https://doi.org/10.1177/002224299005400403
• Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.

13. Items of the Scale