2009Journal of Travel ResearchOpen access

Destination Segmentation: A Recommended Two-Step Approach

Aaron Tkaczynski, Sharyn Rundle‐Thiele, Narelle Beaumont

Open full text 113 citations

Abstract

Tourism segmentation studies have traditionally developed segmentation variables from secondary data or a review of the literature. Based on stakeholder theory, this study recommends a two-step approach to destination segmentation, incorporating the views of multiple stakeholders. This article details the recommended segmentation approach using one Australian destination. Step 1 involves understanding how multiple stakeholders viewed their market to identify relevant segmentation variables. Step 2 involves segmenting the destination based on the variables identified in step 1. When compared with segments currently used by the destination marketing organization, the segments derived from the two-step approach to segmentation capture more of the tourists visiting the area. Segmentation guides budgetary decision making, and the proposed two-step approach to segmentation may assist tourism destinations to maximize limited resources by targeting more of the types of tourists who are frequenting the destination.

About this research paper

What this paper is about

Tourism segmentation studies have traditionally developed segmentation variables from secondary data or a review of the literature. Based on stakeholder theory, this study recommends a two-step approach to destination segmentation, incorporating the views of multiple stakeholders. This article details the recommended segmentation approach using one Australian destination. Step 1 involves understanding how multiple stakeholders viewed their market to identify relevant segmentation variables. Step 2 involves segmenting the destination based on the variables identified in step 1. When compared with segments currently used by the destination marketing organization, the segments derived from the two-step approach to segmentation capture more of the tourists visiting the area. Segmentation guides budgetary decision making, and the proposed two-step approach to segmentation may assist tourism destinations to maximize limited resources by targeting more of the types of tourists who are frequenting the destination.

Why it matters

OpenAlex reports 113 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Tourism segmentation studies have traditionally developed segmentation variables from secondary data or a review of the literature. Based on stakeholder theory, this study recommends a two-step approach to destination segmentation, incorporating the views of multiple stakeholders. This article details the recommended segmentation approach using one Australian destination. Step 1 involves understanding how multiple stakeholders viewed their market to identify relevant segmentation variables. Step 2 involves segmenting the destination based on the variables identified in step 1. When compared with segments currently used by the destination marketing organization, the segments derived from the two-step approach to segmentation capture more of the tourists visiting the area. Segmentation guides budgetary decision making, and the proposed two-step approach to segmentation may assist tourism destinations to maximize limited resources by targeting more of the types of tourists who are frequenting the destination.

Key concepts: Market segmentation, Segmentation, Tourism, Computer science, Marketing, Stakeholder, Destination marketing, Destinations

Related papers

Back to paper searchBrowse research topicsOriginal source
Destination Segmentation: A Recommended Two-Step Approach — Research Paper | ScholarLens