Find your real customer segments
Marketing personas get written from anecdote and stock photos. Without needs-and-behaviour data across a real sample, 'Enterprise Emma' is fiction with a budget.
The short way: A structured dataset — needs importance, behaviours, firmographics — exported analysis-ready, so the segments come from maths rather than a workshop.
Ready-made templates for this
Prefer to start from a questionnaire rather than a description? These are already written.
Market Segmentation Survey
Market Research
The behavioural and attitudinal questions that let real segments emerge from the data.
Target Audience Profile Survey
Market Research
Build data-backed personas: context, goals, frustrations, and buying authority.
Usage & Attitude (U&A) Study
Market Research
The category workhorse: who uses what, how often, why, and with what attitudes.
Consumer Shopping Habits Survey
Market Research
Where, how often, and why your category's shoppers buy - online and off.
Type this — that’s the whole job
“A segmentation survey for home fitness customers: goals, workout frequency and habits, spending, motivations and demographics”
Build it now — freeNo setup, no tutorial. The words above go with you — review what the AI builds, then share the link.
How it works — three steps
- 1
Describe your market's likely dividing lines; the AI drafts needs, behaviour and profile blocks.
- 2
Collect broadly — segmentation needs volume across the whole market, not just fans.
- 3
Export to CSV for clustering; the demographic block gives each cluster its face.
What’s doing the work
Demographic question type
Structured profile fields ready for the crosstabs every segment description needs.
Matrix importance grids
Rating fifteen needs in one grid keeps a long instrument finishable.
SPSS and CSV export
An SPSS .sav with variable and value labels and one column per choice, or a CSV — straight into SPSS, R or a clustering notebook.
Questions people ask
What sample size does segmentation need?
300+ before clusters stabilise; 500+ if you expect five or more segments. Underneath that, segments dissolve on resample.
Can the platform do the clustering?
The platform's job is a flawless dataset and the crosstabs to profile clusters; the clustering itself belongs in your stats tool — the export is shaped for exactly that handoff.
Minutes, not weeks. That’s the deal.
Start free