This cluster analysis website is primarily designed to assist marketing students understand how data can be used to form valuable market segments.
Generally, a marketer will not need to understand the statistical and technical aspects of how cluster analysis performs calculations. Instead, a marketer needs to understand cluster analysis from a conceptual basis, essentially what it does, what outputs to look for, and finally and most importantly, how to form market segments.
Therefore, in this section of the cluster analysis website you will find…
- A marketing overview of cluster analysis
- How does cluster analysis work – in simple terms?
- How does cluster analysis help in developing market segments?
- Do I need to use cluster analysis to develop market segments?
- What sort of data can I use in cluster analysis?
- What software can I use to run cluster analysis?
- What is a segmentation map?
- What is a segmentation profile?
- Allocating consumers to market segments to deliver market insights
- Selecting target markets from cluster analysis
- A step-by-step guide to the cluster analysis process for marketers
A quick summary of what a marketer needs to know about cluster analysis
Cluster analysis is a helpful technique to assist marketers group consumer data into related sets and help form market segments. As we know, market segmentation and the selection of target markets is a fundamental starting point in the development of a marketing strategy and program – which is sometimes referred to as the STP process.
Marketers do not need to know how cluster analysis is calculated (but it is outlined on this website if required). Marketers need to know how to use cluster analysis effectively and what key metrics and outputs they should be looking for.
Put simply, cluster analysis is a statistical technique that is designed to group data (or consumer information in the case of a marketer) into similar sets. In other words, the data is “clustered” together around central points – if used successfully, these central points can become a key part of understanding market segments.
Therefore, marketers need to know the following about cluster analysis:
- It is purely a statistical technique – it assumes no prior knowledge of the marketplace
- The goal of cluster analysis is to group the data into related sets
- There are other approaches to forming market segments – cluster analysis is just one technique
- There are several limitations relating to the use of cluster analysis for marketing purposes, including the possibility of varying outputs
- It is the role of the marketer/analyst to help assess the outputs of cluster analysis and use them to structure market segments and help select appropriate target markets