Customer segmentation
Who should we prioritize?
Groups people or organizations with shared needs, attitudes, or behaviors. Use it to decide which customers to focus on and how their requirements differ.
Demand and Opportunity Research
Demand Landscape Research examines what people need in different situations, what they choose, and where current options fall short. We group recurring patterns into Demand Spaces so your team can compare opportunities for products, services, and experiences.
Research design
Illustrative example: someone buying coffee on the way to work may care about speed and portability. Choosing a place to meet a friend, that same person may care more about seating and atmosphere.
A customer profile alone may not explain the difference. We examine a specific purchase, visit, or task: what prompted it, what the person needed, which constraints mattered, and which alternatives they considered.
Compare with person-based segmentationThese coffee occasions illustrate the design question. They are not demand spaces discovered in a completed Russell study.
Choose the approach against the question your current research leaves unanswered. The three can work together, but they organize the evidence differently.
Who should we prioritize?
Groups people or organizations with shared needs, attitudes, or behaviors. Use it to decide which customers to focus on and how their requirements differ.
Which situations create different needs?
Groups occasions or tasks with similar needs and circumstances. One customer may appear in several spaces as the context changes. Use it to examine what an offer needs to do in each situation.
Where does the experience help or hinder the choice?
Follows the steps people take before, during, and after a decision. Use it to locate missing information, barriers, or experiences that make the process difficult.
Existing segmentation can show which customer groups encounter a demand situation. Journey research can show where that need arises and what happens next. A Demand Landscape adds value when the circumstances of the choice explain something those studies leave unresolved.
Start with what the team already knows. Interviews may help define the situations to investigate; a survey may then compare recurring patterns. Each method should answer a defined part of the question.
Method
When it helps
The team needs to understand the tasks, needs, alternatives, and language involved in a choice.
Business decision
Which differences between situations are worth investigating?
Method
When it helps
People can report a defined purchase, visit, or task and the circumstances surrounding it.
Business decision
Which needs and choices recur in different situations?
Method
When it helps
Survey data can support grouping occasions by shared needs and circumstances.
Business decision
Are the proposed groups distinct, stable, and useful for the decision?
Method
When it helps
The team needs to compare benefits, features, or alternatives rather than rate everything as important.
Business decision
Which tradeoffs matter within each situation?
Method
When it helps
Customer, transaction, or usage data covers the relevant people, periods, and activities.
Business decision
What can existing behavior or spending data add to the survey findings?
Agree the outputs against the decision before fieldwork. Exploratory work may identify situations to investigate; a suitable quantitative study can compare them more broadly. The reporting should make that distinction clear.
An account of the recurring needs and circumstances found in the research, with the evidence used to distinguish them. Early hypotheses remain labeled as hypotheses.
Illustrative question
Does the same offer need to work differently for a quick purchase and a longer visit?
A comparison against agreed criteria, such as unmet needs, available alternatives, and your ability to serve the situation. Estimates of prevalence or value are included only when the research design supports them.
Illustrative question
Is this situation poorly served, and do we know enough about its scale to justify further development?
Recommendations for what to develop, investigate, or test next. The findings can inform a brief without being treated as proof that a proposed offer will succeed.
Illustrative question
What should a new concept address, and what still needs testing before launch?
It can help when the same customer group makes different choices in different circumstances and your segmentation does not explain those differences. We can use the existing segments to examine who encounters each situation, then study the needs and constraints associated with it. The result may inform an offer, service, or message for a particular occasion without replacing the customer segmentation. If your current research already explains those choices well enough for the decision, a separate landscape may not be necessary.
Start with the decision: which portfolio, innovation, or experience question does the current market view fail to answer? We then define the people, geography, time period, and types of occasion that belong in the study. The alternatives may extend beyond your usual product category if people use them to meet the same need. This boundary matters: a study limited to current customers or current product usage cannot establish the full range of demand outside that scope.
We ask people to describe a defined episode, such as a recent purchase, trip, task, or service encounter, and connect their answers to its circumstances. Questions can cover what prompted it, the needs involved, alternatives considered, constraints, and the eventual choice. The design also specifies which episodes people report and how frequently they occur. Counting people and counting occasions answer different questions, so those rules need to be established before interviewing and reflected in the analysis.
No. Early work may use interviews and existing evidence to identify possible demand situations and the differences worth investigating. Statistical grouping methods can help when a quantitative study needs to establish recurring patterns across many occasions. We assess whether the resulting spaces are distinct, stable, and useful for the business decision, rather than selecting a method to produce a predetermined number of groups. Exploratory descriptions should remain labeled as hypotheses until the research supports a stronger conclusion.
No. Exploratory work can identify possible territories without estimating their size. Prevalence or commercial sizing requires a defined market boundary, suitable sample, measurement, and analytical design. We also distinguish the share of people who encounter a space, the share of occasions it represents, and the spending associated with it. Those are different measures. Estimating commercial value requires additional evidence about frequency, spending, or other relevant business measures; a space's size is not a forecast of the revenue your brand will capture.
We compare the spaces against the decision criteria agreed for the project: unmet needs, existing alternatives, your ability to serve the situation, and scale or value where those can be estimated. A large space may already be well served; a smaller one may reveal a more specific problem your organization can address. The output should explain each space, the evidence distinguishing it, and the uncertainties that remain. Priorities can then guide concept development, offer improvements, message research, or a focused commercial evaluation.
Yes. The unit of demand might be a purchasing decision, an operational task, a service requirement, or a professional workflow. We define whose perspective is needed for each situation and recruit people with the relevant experience or responsibility. Users, specifiers, and budget holders may describe different needs within the same organization. The design must also establish whether the results describe individuals, organizations, or decision episodes; those cannot be treated as interchangeable when interpreting or sizing the opportunity.
Existing segmentation, journey research, usage studies, customer feedback, and transaction or operational data can help define the study and identify gaps. We review what each source measures, whom it covers, and whether it captures the circumstances behind a choice. Start by sharing the business decision, the market you currently serve, relevant prior work, and your planning deadline. We can then scope the additional discovery, measurement, or analysis needed. Timing and cost depend on that work and the audiences and markets involved.
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How precise could our survey results be?
Plan usable survey sample sizes, compare margin of error by reporting group, and calculate Wilson confidence intervals with explicit sampling assumptions.
Plan survey precisionShare the product, service, or experience decision you need to make, the market you serve, and any existing customer or journey research. We can discuss what the current evidence explains and what is still missing.
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