CSV and Excel tables
A ranked table per postal code or region with index, percentile, rank, and top drivers.
Insights · Market potential
Market potential by postal code, without personal data.
Rank postal codes and regions by their potential for your product or category, using transparent area-level scoring you can explain to stakeholders.
The question
Where is the potential for our product or category strongest across the market?
Market potential analysis shows where a product or category is likely to find stronger demand, measured at postal-code or regional level. AreaSignal builds the score from public, statistical, research, and modeled area-level data, so the result describes places, never people.
What you get
- An index per area, where 100 is the national average
- Percentile and rank to compare areas across the whole market
- The top drivers behind each score
Typical uses
Decide which markets to enter first, set regional priorities for a launch, size the relative opportunity behind a territory plan, or give media planners a ranked starting point for geo budgets.
How it works
From brief to area-level output in three steps.
Define the category
Describe the product or category, the market, and the geography level you plan with, such as postal codes or regions.
AreaSignal scores every area
Relevant area-level features are normalised, weighted, and combined into an index where 100 is the national average.
Prioritise with clear reasons
You receive a ranked table with index, percentile, rank, and top drivers, so every priority can be traced back to its signals.
Example output
What the output looks like.
| Rank | Area ID | Area | Score | Index | Percentile | Top drivers |
|---|---|---|---|---|---|---|
| #1 | 80469 | München-Isarvorstadt | 0.86 | 142 | 96 | Income-area context, cycling infrastructure, age structure |
| #2 | 50672 | Köln-Neustadt-Nord | 0.79 | 129 | 91 | Retail density, age structure |
| #3 | 60316 | Frankfurt-Nordend | 0.71 | 117 | 80 | Income-area context, transit access |
| #4 | 04109 | Leipzig-Zentrum | 0.58 | 98 | 49 | Age structure, retail density |
Delivery
How you receive it.
Snowflake or S3 delivery
Tables delivered to your Snowflake account or S3 bucket for analytics and planning teams.
FAQ
Common questions.
Is this a market size in euros?
No. The output is a relative index, percentile, and rank per area. It shows where potential is stronger or weaker than average.
Can we combine it with our own sales data?
Yes, on your side. Outputs are keyed by postal code or region, so you can join them to your own sales or territory tables. AreaSignal does not need your customer data.
How is the score built?
With interpretable scoring: area-level features are normalised, weighted, and combined into an index where 100 is the national average. The top drivers for each area are listed in the output.
Which categories are excluded?
AreaSignal does not build scores for sensitive categories such as health, ethnicity, religion, political affiliation, financial distress, or minors.
Related
Related solutions.
Insights · Territory planning
Territory planning
Balance sales territories and regional budgets using comparable postal-code and regional potential, with the top drivers explained for every area.
Insights · Catchment analysis
Catchment area analysis
Profile the postal codes and grid cells around your stores, branches, or sites by radius or drive-time band, with the top drivers explained for every area.
Insights · Power BI
Data for Power BI
Load privacy-safe postal-code and regional signals into Power BI as ready-to-join tables, with scores, ranks, and top drivers for every area.
Next step
Explore privacy-safe geo audiences for your next campaign.
Share your objective, market, and timing. We will help you choose a ready-made audience or scope a custom area-level build.