Pompeii, one of Spain’s leading footwear brands, decided to stop running its physical store network on gut feel and start running it on data. With the Flame Analytics retail platform, the brand now measures footfall, dwell time, customer journeys, conversion and profitability in every single store — and turns that intelligence into better product placement, better staffing, and a better in-store experience.
The challenge: making in-store decisions without reliable data
In an increasingly competitive retail environment, understanding real customer behaviour inside the physical store has become a decisive factor for improving shopping experience and profitability. Pompeii, a brand built on its product and its direct relationship with the consumer, faced a challenge that is common across the sector: strong sales performance, but limited visibility into what is actually happening inside each store.
The brand needed to capture real data at its points of sale to make strategic decisions based on facts rather than assumptions. Specifically, it needed to measure:
- Footfall on the street and inside the store
- Dwell time and customer flow patterns
- High-traffic and low-traffic zones within each space
- Visit-to-sale conversion, by store and by zone
- The impact of traffic on each store’s profitability
The solution: retail analytics with Flame Analytics
Pompeii found the answer in Flame Analytics’ in-store traffic analytics platform. Using dedicated sensors and computer vision, the brand now has a continuous view of how customers interact with each physical space.
From the number of passers-by to dwell time, from customer loyalty to store-level conversion rates, Pompeii works with accurate and comparable data across its network — intelligence that allows the team to identify patterns, optimise decisions and improve the overall performance of every point of sale.
Zero biometrics principle: Flame Analytics measures aggregate in-store behaviour with no facial recognition, no biometric data and no individual identification. GDPR compliant by design.
What Pompeii measures in every store
The platform consolidates into a single dashboard the key indicators the Pompeii team needs to operate and compare its network:
| Metric | What it measures | How they use it |
|---|---|---|
| Passers-by & visitors | People walking past vs. people walking in | Window appeal and capture rate |
| Dwell time | Time spent in store and movement patterns | Assess real interest and space distribution |
| Loyalty | Returning customers over time | Measure brand strength at each location |
| Conversion | Sales-to-visitor ratio, by store and zone | Benchmark performance across points of sale |
The view from the Pompeii team
“Flame is a really comprehensive tool that helps us get daily data we can turn into action plans — working to improve and optimise our stores so they are as profitable as possible and so both staff and customers enjoy the point of sale.
On top of that, technical and customer support are fast and always available when you need them. Our experience has been a very positive one.”
Jose Antonio Huertas · Retail Manager at Pompeii
How they apply the data day to day
What makes the Pompeii case interesting is not that they collect data — it is that they use it. The team has embedded traffic analytics into its day-to-day operation, turning decisions that used to be intuition-driven into decisions grounded in evidence:
- Product layout: they adjust placement and floor layout to create more intuitive paths that favour spontaneous purchase.
- Zone-based promotions: they tailor offers and communication to the highest-traffic areas inside each store.
- Staff planning: shifts are aligned with actual footfall, improving service levels while controlling staffing cost.
- In-store experience: they identify friction and dead zones early, before they hurt conversion.
- Store-level profitability: portfolio decisions are made on directly comparable data, store by store.
Outcomes and benefits for the brand
With Flame Analytics, Pompeii moved from running its stores with partial information to having a continuous business view across the entire network. That visibility translates into measurable improvements on four fronts:
- Higher conversion and profitability per store by understanding what works — and what does not — inside each space.
- A stronger customer experience, with stores that are more comfortable, better laid out and better staffed.
- Better-informed expansion and portfolio decisions, grounded in real benchmarks across locations.
- The ability to react quickly to trend shifts, campaigns and seasonality.
Frequently asked questions
What exactly does Pompeii measure with Flame Analytics?
Street and in-store footfall, dwell time, movement patterns, high-traffic and low-traffic zones, customer loyalty, and conversion rates by store and zone. All of it is consolidated in a single dashboard, comparable across points of sale.
Is the solution GDPR compliant?
Yes. Flame Analytics works with aggregate, anonymous data — no facial recognition and no biometric processing. No individual is identified, so the system is designed to operate within the GDPR framework.
Do you need to replace the cameras or install new hardware?
In most cases, no. Flame Analytics can be deployed on top of existing CCTV infrastructure or with dedicated low-power sensors, reducing cost and time to value.
Is this type of analytics only relevant for fashion and footwear?
Not at all. Although Pompeii is a fashion case, in-store traffic analytics applies to any retail format with a physical network: footwear, sports, grocery, electronics, home, pharmacy or shopping centres. The value increases the more points of sale you run.
How can we see the platform applied to our business?
We can show you in a personalised demo how Flame’s retail analytics would fit your stores, metrics and objectives. Book a session from the contact form.
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