Skip to Main Content
Article navigation
Purpose

This study aims to propose a segmentation approach that bridges the gap between academic rigor and practical applicability in services marketing. It analyzes the challenges of contemporary, statistical segmentation models and advocates for a conceptual, practice-based approach aligned with how consumers “do services.”

Design/methodology/approach

This paper reviews five decades of statistical segmentation research, highlighting its strengths and challenges. It incorporates practitioner insights to explore the barriers of applying segmentation models in services marketing. Building on a review of the services marketing literature, the study develops a practice-based segmentation framework grounded in a “pen-and-paper” approach.

Findings

While advanced statistical segmentation techniques meet academic standards, they often prove impractical for firms lacking computational resources. Practitioners tend to rely on automated tools that segment customers based on behavioral and lifestyle variables. A return to conceptual, practice-based segmentation provides a more effective alternative by balancing analytical depth with usability. The proposed practice-based framework identifies four operative dimensions: (1) social vs. individual practices, (2) customization, (3) modality and (4) intensity. The framework allows consumers to shift between practice-based segments and accommodates different combinations of these dimensions.

Originality/value

This viewpoint highlights the gap between segmentation research and real-world application. By incorporating practitioner insights and advocating for a practice-based approach, it provides an alternative to purely data-driven models and offers a segmentation framework that is both theoretically robust and practically feasible.

Licensed re-use rights only
You do not currently have access to this content.
Don't already have an account? Register

Purchased this content as a guest? Enter your email address to restore access.

Please enter valid email address.
Email address must be 94 characters or fewer.
Pay-Per-View Access
$39.00
Rental

or Create an Account

Close Modal
Close Modal