Factor analysis
For example, a customer satisfaction survey may include numerous statements relating to service quality, communication, reliability, and value for money. Factor analysis can identify whether these items cluster into broader themes (such as 'service efficiency' or 'trust and credibility'), helping researchers understand the fundamental drivers behind customer perceptions.
The primary purpose of factor analysis is data reduction and simplification. By identifying a smaller set of salient factors, researchers can:
Streamline reporting and interpretation.
Develop indices or composite scores.
Inform segmentation and profiling.
Identify key drivers of behaviour or satisfaction.
Support the design of future research instruments.
Factor analysis is widely applied across market research, including in customer satisfaction studies, segmentation projects, brand research, and customer profiling. At DJS Research, it forms part of our advanced statistical toolkit, enabling us to translate complex data into clear, strategic insight.
We build small, director-led, teams of sector experts who are with you from brief to debrief. As an employee-owned company, every one of us is invested in delivering quality, value, and long-term impact.
From agile testing to deep-dive strategic studies, we design research to meet your specific objectives. The agility of our in-house operations team and strength of our UK-wide recruiter network enable seamless execution at scale.
Our sector-focused teams have decades of experience understanding audiences and the complexities of the markets in which our clients operate. Working collaboratively we deliver actionable insight which drives positive change.
Contact us today to discuss your next market research project and discover how we could become a valuable extension of your team.
Contact usContact us today to discuss your next market research project and discover how we could become a valuable extension of your team.
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