CSV and Excel tables
Flat tables with one row per postal code or region, ready to import into Power BI and refresh with each delivery.
Insights · Power BI
Area-level data for Power BI, ready to join and visualise.
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.
The question
How do we get trustworthy area-level data into our Power BI reports?
Analytics and BI teams often need area-level context in the reports they already maintain. AreaSignal delivers it as plain, well-documented tables that load into Power BI like any other data source.
What the tables look like
- One row per postal code or region, keyed by a stable geography ID
- Score, index, percentile, and rank for each area
- Top drivers summarised per area
Typical uses
Add market potential to a sales dashboard, colour a store-network map by area index, compare regional campaign results with audience fit, or give planning teams one consistent area view across reports.
How it works
From brief to area-level output in three steps.
Choose signals and geography
Pick the audience or market signals you need and the geography level your reports use, such as postal codes or regions.
Receive ready-to-load tables
AreaSignal delivers the tables as CSV or Excel files, or to your Snowflake account or S3 bucket.
Join and report in Power BI
Import the tables with Power BI's standard data connections and join them to your sales, store, or territory data on the postal-code or region key.
Example output
What the output looks like.
| Rank | Area ID | Area | Score | Index | Percentile | Top drivers |
|---|---|---|---|---|---|---|
| #1 | 20249 | Hamburg-Eppendorf | 0.83 | 139 | 95 | Retail density, spending context, household composition |
| #2 | 40479 | Düsseldorf-Pempelfort | 0.76 | 125 | 89 | Spending context, retail density |
| #3 | 30159 | Hannover-Mitte | 0.64 | 107 | 66 | Household composition, transit access |
| #4 | 39104 | Magdeburg-Altstadt | 0.49 | 89 | 36 | Lower spending context, age structure |
Delivery
How you receive it.
Snowflake delivery
Tables delivered to your Snowflake account, so Power BI can read them alongside your existing warehouse data.
S3 delivery
Files delivered to your S3 bucket for teams that stage data before it reaches Power BI.
FAQ
Common questions.
Which columns are included?
Each row has the area key and name, score, index, percentile, rank, and a summary of top drivers.
How do updates work?
Refreshed tables keep the same structure and area keys, so your reports update without rework.
Can we join it to our own data?
Yes. Tables are keyed by postal code or region code, so they join to your sales, store, or territory tables in Power BI. AreaSignal does not need your customer data.
Does it work with other BI tools?
Yes. The tables are standard CSV, Excel, and warehouse tables, so any BI or analytics tool that reads those formats can use the same data.
Is any personal data included?
No. Every row describes a postal code or region. The tables contain no personal identifiers.
Related
Related solutions.
Insights · Market potential
Market potential
Rank postal codes and regions by their potential for your product or category, using transparent area-level scoring you can explain to stakeholders.
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 · Campaign analysis
Regional campaign analysis
Compare campaign results summarised by region or postal code with area-level signals, to see where performance and audience fit line up and where they diverge.
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.