Solution Finder
What is your customer trying to achieve? Pick the problem closest to what they actually said — this translates it into the right methodology, data requirements, and Lab.
You said: “Find geographic areas containing high-value audiences”
Geographic / Postcode Propensity
AudienceWhy this fits
Geographic/Postcode Propensity scores locations, not individuals, for concentration of high-value prospects.
What it answers
Which geographic areas contain the greatest concentration of high-value or high-affinity prospective customers, to guide media targeting, market expansion, or store planning?
How it works
Demographic, income, household composition, and existing customer concentration data is aggregated at a geographic level (e.g. postcode or suburb), then scored for opportunity based on similarity to known valuable customer segments.
Data required
- Geographic boundary definitions (postcode, suburb, or similar unit)
- Population and demographic data (income, age, household composition)
- Existing customer concentration by geography
- Category affinity and purchase rate data where available
Discovery questions
What geographic granularity is meaningful for this decision — suburb, postcode, region?
Granularity affects both data availability and how actionable the output is for media or store planning.
Is this for media targeting, market expansion, or physical site planning?
Each use case weighs different variables — media targeting cares about reach and affinity, site planning cares more about competition and footfall.
What demographic or geographic data sources are already available?
Determines whether third-party geo/demographic enrichment is needed.
Implementation approaches
Vendors
Risks & limitations
Risks
- Small geographic units can have unstable scores due to low sample size
- Geographic averages can mask meaningful variation within a single postcode
Limitations
- Ecological fallacy — a high-scoring area doesn't mean every resident fits the profile
- Demographic data can lag actual population changes, especially in fast-growing suburbs