Geo-targeting for performance marketers

Where are your next customers?
Customer list in —
Twin regions out.

Atlas finds the regions most statistically similar to your best customers — as an ad-ready postal-code list for Google & Meta. No CRM? Reference products with real purchase data (EVs, solar PV, heat pumps) get you started. GDPR-compliant, built on aggregated official data.

Find twin regions — free Explore maps & tools
×1.45 portfolio lift in backtest R² 0.63 on real registration data 8,111 postal-code profiles 400 districts
Who is it for?

For anyone who spends ad budget regionally

Atlas answers the question Meta and Google leave open: where to start.

🎯

Performance marketers

Bring your highest-revenue postal codes — get the twin regions as an ad-ready list. No more “radius around the store” and gut feeling.

→ Start Twin-PLZ
🏢

Agencies

Justify every euro of media budget with data, not gut feeling. One tool, many clients — the data-driven geo decision as a pitch argument.

→ Lookalike demo
📈

Expansion & multi-site retail

Where should the next location open? Find regions that statistically match your most successful sites — before you invest.

→ Location research
Looking for an industry template? Restaurant quick-start — more to come.
How it works

Three steps to an ad-ready region list

No CRM, no GIS degree, no clicking through 500 indicators.

Choose a seed

Upload your best customer postal codes — or click a reference product with real purchase data (EVs, solar PV, heat pumps). Ready to go even without your own data.

DNA & twins

Atlas learns the buyer signature across ~15 decorrelated axes and ranks all 8,111 postal codes by similarity. Toggle axes on and off live at any time.

Export ad-ready

Top 200 twin postal codes as CSV for Google & Meta. The map shows you why — as proof, not homework.

Find twin regions now
Tools

The answer first — then the map as proof

The tools deliver the finished list, the maps show why. All free to use, personal bookmarks via email login.

🧭

Direct access · Open maps

Jump to a state view or one of the 400 per-district detail pages.

Robust

Validated on real purchase data — not estimated

We tested our methodology backwards against real vehicle registrations: do the demographic axes actually explain where a product is bought? Yes.

R² 0.63
explained variance, out-of-sample · 399 districts with registration data
×1.45
portfolio lift in the time backtest 2021→2025
0.80
rank correlation model ↔ reality

“Had you picked regions in 2021 by Atlas demographics — with no knowledge of sales figures — you would have hit the growth regions: +45% faster growth than average, and faster than the naive ‘where there are already many’ rule.”

— Our own backtest on EV vehicle registrations, June 2026
Data basis

Official open data — aggregated, EU-hosted, GDPR-compliant

Census 2022 (1 km), INKAR, KBA, MaStR, destatis, Federal Returning Officer, BKG, OSM — under open licenses (DL-DE 2.0 / ODbL). Sources + dates in the FAQ.

8,111
postal-code profiles nationwide
400
districts · 210,556 cells
8.4M
cell fields
893k
OSM places (POIs) nationwide
100%
hosted in the EU

Ready to truly know your audience?

Atlas is free. Login optional. Postal-code export with no friction.

🇩🇪 Open the 1 km atlas Sign in with email