Placer.ai built its reputation on US foot traffic analytics, and it earned it. But when your site selection decisions span multiple markets, or when your team needs an answer rather than a dashboard to interpret, Placer.ai starts to show its limits. Gini by MyTraffic covers 15 countries across Europe and the US, gives you AI-guided decisions in plain language, and was built GDPR-compliant from day one.

Here is what that looks like in practice.

Why retailers choose Gini by MyTraffic over Placer.ai

GPS data at 10-meter accuracy. Not panel estimates.

Placer.ai relies on a panel-based estimation model: it infers foot traffic from a sample of devices, then extrapolates to the broader population. That works at scale in well-covered US markets. Outside the US, Placer.ai has no meaningful data presence.

Gini by MyTraffic uses GPS signals across 15 countries, measured to 5-to-10 meter street-level accuracy. According to a study by the French Institut du Commerce, location data errors above 50 meters can shift catchment area estimates by up to 30%, enough to reverse a go/no-go decision on a new site. When you are choosing between two retail units on the same street, the difference between panel estimates and GPS precision is the difference between a good guess and a confident decision.

15 countries. One interface.

Placer.ai is built for the US market. Its roadmap, its data infrastructure, and its customer success team are all oriented around North American retail. If you operate across Europe, you are outside their core product.

Gini by MyTraffic covers 14 European countries, including France, Germany, the UK, Spain, Italy, the Netherlands, Belgium, Switzerland, Austria, Portugal, and the four Nordic markets, plus the US. Same interface, same accuracy, same workflows whether you are evaluating a site in Lyon or in Los Angeles. For retailers with cross-border ambitions, that consistency is not a nice-to-have. It is the foundation every expansion decision sits on.

Gini by MyTraffic is GDPR-compliant. Placer.ai is not.

GDPR compliance is not a checkbox. It defines how location data is collected, processed, and used, and it has direct legal consequences for any EU-based company working with a US data provider.

Gini by MyTraffic was architected GDPR-first. No individual is tracked or identified. All mobility signals are anonymized and aggregated at the source, and every output documents its assumptions and confidence levels. Placer.ai is a US company built under US privacy law. The European Data Protection Board has reiterated that data transfers to US providers remain a legal grey area for EU-based companies, and the French CNIL has specifically flagged concerns about US location analytics providers processing data from European residents. For your legal and compliance teams, that exposure matters.

What are Placer.ai's limits compared to Gini?

Placer.ai is a dashboard. That is not a criticism. It is a description. You get foot traffic charts, trade area maps, and competitive benchmarks. A skilled analyst can use those outputs to make a good decision. But Placer.ai does not make the decision for you, it gives you more data to interpret.

Three limits that come up consistently when teams switch from Placer.ai to Gini by MyTraffic:

No AI layer for decision support. Placer.ai's interface is a classic BI dashboard. You navigate menus, select parameters, and export CSVs. Gini's conversational interface means you describe your business question in plain language and receive a structured answer. Ask "should I open a second location in Bordeaux?" and Gini runs the Site Selector workflow, evaluates footfall potential, maps competition, flags cannibalisation risk with your existing network, and gives you a recommendation with reasoning attached. According to McKinsey's 2024 State of AI report, companies using AI for location decisions reduce their site evaluation cycle by an average of 40%.

No P&L forecasting. Placer.ai measures what has happened. Gini models what will happen. Its site forecasting workflow estimates revenue potential based on real mobility signals, competitive density, and your network's historical performance, giving leadership a number they can commit to, not just a traffic count to interpret.

No European support structure. Placer.ai operates on enterprise pricing with no public tariffs and a US-centric support team. Gini by MyTraffic starts at $250/month, with no setup required and dedicated onboarding from a team that understands European markets, regulations, and business context.

Where Gini by MyTraffic outperforms Placer.ai

For expansion teams moving across multiple markets. The Expansion Planner workflow generates a data-driven territorial plan based on your criteria, your existing network, and real mobility data. The output is ready to share with leadership, not a spreadsheet to reformat.

For retail directors who need answers in minutes. You type your question. Gini reads the Place DNA of any location, cross-references competitive signals, checks socio-demographic fit, and tells you what the data says. No analyst needed, no waiting for the report.

For teams that need more than a traffic count. Footfall is a signal, not a decision. Gini combines footfall with visitor origin, competitor positioning, catchment profiles, and revenue potential modelling. As Juan Carlos Martin, Head of Expansion at a major European retailer, put it: "Tools like MyTraffic help support decisions with concrete data, which is important when justifying new sites internally or comparing options across markets."