A market segment is useful only if it changes a decision. Listing age groups or drawing personas without evidence does not show whom an organisation should serve or how. A sound segmentation analysis defines the market, selects meaningful bases, compares groups and recommends a target with a clear reason. The exact framework depends on your brief. Keep invented personas clearly hypothetical and distinguish real market evidence from assumptions used for a classroom exercise.
Define the market and decision
Begin with the product or service, geography and decision horizon. Is the task about launching a new offer, allocating a small budget or adapting a current service? Segments should be relevant to that choice. A category such as “students” may be too broad when needs differ by course stage, schedule and access. Do not narrow so far that the resulting segment cannot be identified or served in practice.
Choose useful segmentation bases
Demographic variables can be observable but may not explain behaviour. Needs, benefits sought, usage situation and barriers can be more directly relevant when supported by evidence. Avoid inferring purchasing ability or preferences solely from identity characteristics. State how each group would be identified and what data support the distinction. If a segment is based on survey responses, inspect the sample before generalising.
Compare groups consistently
Assess potential demand, accessibility, fit with organisational capability, competition and likely cost of serving each group. Use the same criteria across alternatives. A large segment is not automatically attractive if its needs are already well served or the organisation cannot reach it effectively. Where data are missing, make assumptions explicit and test how the choice changes if they are wrong. Avoid manufacturing market-size figures.
Build a targeted proposition
Explain which need the chosen segment has and how the proposed offer addresses it. Show the channel or message that follows from the evidence, not from a stereotype. A segment can be attractive because its problem is specific and the organisation has a credible capability to solve it. Discuss why at least one plausible alternative was not selected. That comparison makes the recommendation more than a preference.
Plan measurement and adjustment
Name an observable early signal such as qualified enquiries, repeat use or trial completion, depending on the case. Explain what a pilot could reveal and what would trigger a change in targeting. Do not promise revenue or market share without a justified forecast. In the conclusion, reconnect the segment choice to the initial decision, the strongest evidence and the main uncertainty.
Worked example
For a fictional campus café, “all university students” is a weak target. A more useful analysis might distinguish students who need a quick meal between classes from those seeking a quiet evening study space. The groups imply different opening hours and service design. Use actual case data where supplied; if no demand research exists, present the distinction as a hypothesis for a pilot, not a verified market fact.
A segment scorecard with uncertainty
Choose two plausible segments and write the same five headings for both: unmet need, evidence of demand, ability to reach, fit with the organisation and cost to serve. Use real case information where available and mark unknowns clearly. If one segment wins only because you guessed its size, the recommendation is fragile. Propose a small research step or pilot that would test the decisive assumption. Also ask whether your chosen labels stereotype people or hide variation within a group. A need-based segment may be more actionable than a broad age bracket, but only if you can identify and reach people with that need responsibly. Present the target choice as a reasoned decision under the available evidence, not as an objectively “perfect” market.
Checklist before you submit
- Define market, offer and decision horizon.
- Use segment bases connected to real needs.
- Compare alternatives under the same criteria.
- Separate verified demand from a testable hypothesis.
Questions students ask
Must segments be based on age?
No. Needs, behaviour and situation may be more relevant, provided you can identify and serve the group responsibly.
Can I invent a persona for an assignment?
Only when the brief permits it; label it as hypothetical and do not present it as research evidence.
Further reading
Open University: Market segmentation and targeting offers additional guidance. Follow your course brief and your institution’s academic integrity policy where they differ.
For a related skill, read How to Turn Reading Notes into an Annotated Bibliography.