The Placer.ai alternative built for decisions, not dashboards.

Stop interpreting charts. Ask Gini a question. Get an answer in seconds.

  • Which of these 3 locations has the highest foot traffic from my target demographic?
  • Why did foot traffic drop at my Boston store last month, and what should I do?
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Trusted by 600+ retail teams across Europe and the US

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Why Gini outperforms Placer

Data tells you what happened. Gini tells you what to do next. That is the difference between a foot traffic platform and a location intelligence companion.

Gini
Placer.ai
Foot traffic measurement
AI companion, natural language
Visitor demographics
Geographic coverage

US, Europe and expanding

US only

Competitive benchmarking
P&L site forecasting
Historical data
GDPR compliant
Data accuracy

GPS, 5 to 10 meter street-level

Panel-based estimates

Transparent pricing

From $750/month

Setup and onboarding

None, ask your first question today

Training required

Less waiting.
More deciding.

90%

Store opening success rate

4x

Faster than traditional site research

Year 1

Average payback on new locations

From market question to
investment decision in minutes

Step 1

Define your territory

Set your target geography. Gini maps demand concentration and competitive density before you ask your first question.

Step 2

Analyze foot traffic and demand signals

Understand where people actually go, by hour, day, and season. See which zones are growing and where your target customer spends time.

Step 3

Profile the local catchment

Demographics, income, lifestyle segments, spending patterns. Know whether the right customer is already in the area.

Step 4

Benchmark against competitors

See how your planned location compares to nearby competitors. Identify their gaps and your opportunity to take share.

Step 5

Forecast site revenue potential

Model P&L scenarios grounded in real catchment data. Go from "interesting location" to a concrete estimate of what it is worth.

Step 6

Build your investment brief

Export a board-ready summary with site scoring, catchment profile, competitive context and P&L range. Everything leadership needs to approve the next move.

This is how Five Guys decides.

Five Guys uses Gini to get a precise view of foot traffic for any location — by hour, by day, by visitor profile. What used to rely on intuition and on-site visits now takes minutes, not weeks.

FAQ

What is the main difference between Gini and Placer.ai?

Placer.ai is a data platform. It gives you foot traffic charts and lets you build reports. Gini is an AI companion. You ask it a question about any location and it gives you a clear, reasoned answer. The difference is not just the interface — it is the entire workflow.

Who uses Gini?

Retail and real estate teams at JLL, H&M, Hugo Boss, BNP Paribas Real Estate, Five Guys and 600+ others. Mostly heads of expansion, real estate directors and strategy teams who need to move fast on location decisions.

How accurate is Gini's data?

Gini uses GPS signals at 5 to 10 meter accuracy, street-level. Placer.ai relies on panel-based estimation, extrapolating from a sample. When you are signing a 10-year lease, that difference in precision is not minor.

Is Gini GDPR compliant?

Yes. All data is anonymized and aggregated at source, built to European privacy standards. Placer.ai has publicly stated it does not operate in EU member states — their data model is structurally incompatible with GDPR.

Is Gini more affordable than Placer.ai?

Yes. Gini starts at €750 per month. Placer.ai does not publish pricing and operates on custom enterprise contracts only. Book a demo and we will walk you through the right plan for your team size.

Can Gini forecast revenue for a site, not just traffic?

Yes. The Expansion Planner models P&L scenarios based on real catchment data, foot traffic volume, competitive density and comparable sites in your portfolio. A traffic chart tells you what happened. Gini tells you what a site is worth.

How long does it take to get started?

No setup, no training, no onboarding call. Create an account, type your first question, get your first answer. Most teams are running a real analysis within minutes.