PRODUCT

Places

Location Intelligence for Expansion & Activation.
Understand who is really there — and where to act next.

From countries to postal codes · 172 countries

50,000 people live in this postal code.
But would they buy premium coffee — or fast fashion?

Location decisions used to rely on foot traffic and demographics. But that doesn’t tell you how people behave — or where real opportunity exists.

Do they value sustainability? Do they prefer craft beer over lager? Are they ready for a new gym concept — or a luxury retail format?

Rascasse Places turns every location into an audience story — from country level down to individual postal codes — so you can understand behavior, demand and opportunity, not just population.

From any location to a clear decision.

Start with any location

Pick a country, city or postal code that matters.

Understand who is really there

Go beyond population. See interests, behaviors, spending patterns and affinities.

Act with clarity

Identify where to expand, invest or activate — with confidence.

Real insights. Real decisions.

Insight

Premium coffee demand is highly localized

Only a few districts show strong affinity for premium coffee brands — not necessarily those with the highest foot traffic.

Driver

Driven by sustainability-oriented urban segments with high disposable income.

Implication

Focus expansion on high-affinity clusters, not high-volume areas.

Recommendation

Where to expand next

New York suburbs
High premium affinity
▲ Strong fit
Berlin center
High traffic, low conversion
▬ Monitor
Riyadh
Emerging demand
★ Opportunity
Recommended Action

Prioritize New York suburbs for initial rollout based on strong premium affinity.

Strategic Output

Retail Expansion Strategy — Saudi Arabia

Q2 2025
Confidential
1
Riyadh — Al Olaya District
4.6x 2
Jeddah — Tahlia Street
3.9x 3
Dammam — Corniche
3.1x
Key Insights
  • • Premium affinity concentrated in 3 districts, not evenly distributed
  • • Audience skews 25–40, high overlap with luxury travel & wellness
  • • Current supply covers only 18% of high-affinity postal codes
Final Recommendation

Open 2 pilot locations in high-affinity postal code clusters in Riyadh.

Al Olaya District first, Jeddah Tahlia Street as Phase 2.

Location intelligence that drives decisions.

Understand not just where people are — but what they do, what they want and where opportunity exists.

Beyond Demographics

Not population counts — psychographic profiles. Values, attitudes, interests, and brand affinities that define a place. Understand the why behind the where.

Postal-Code Precision

Don't just know the city. Know the neighborhood. 8,000+ postal codes in Germany alone, each with a full audience profile. Hyper-local intelligence across 172 countries.

Opportunity Detection

Automated identification of underserved markets and high-potential locations. Find where your audience is concentrated but your brand (or category) isn't.

Every location decision, smarter.

Retail Expansion

“Where should we open our next store?”
Identify high-affinity areas before competitors enter. Prioritize locations where premium demand is emerging, not just where traffic is highest.

Real Estate

“What’s the audience profile of this neighborhood?”
Understand who drives demand in a neighborhood. Identify buyer profiles before investing in development.

Event Activation

“Where will our pop-up resonate most?”
Find locations where your audience actually concentrates. Maximize turnout by targeting high-affinity clusters.

Market Entry

“Which German cities are ready for our brand?”
See where demand exists before entering a market. Avoid high-volume but low-relevance regions.

Case Study

How a Specialty Retailer Found 23 New Store Locations in 4 Days

A European specialty food retailer wanted to expand from 45 to 70 stores. Traditional site selection would take 6 months of manual market research. Using Rascasse Places, they analyzed 8,000+ postal codes in Germany, identified 89 underserved locations matching their audience profile, and shortlisted 23 high-potential sites in just 4 days. The first three new stores exceeded revenue targets by 28%.

8,000+
PLZ Analyzed
4 Days
23 Sites Identified
+28%
Above Revenue Target