Turn store traffic into commercial decisions

For a store network, counting visitors is only the starting point. The real value comes when footfall is combined with revenue, transactions, opening hours, weather, marketing campaigns and data from each store.

My People Counter gives retail management a consistent view of performance, from individual stores to the entire group.

Entrée d'un magasin pour illustrer le comptage des clients et des passages

From traffic to KPIs that truly explain performance

Two stores generating the same revenue may perform very differently. One may achieve a high conversion rate with relatively little footfall; another may welcome many visitors but miss sales opportunities. By combining footfall with business data, you can understand why a store is improving or falling behind.

↗ Conversion rate

Combine entrances with tickets or transactions to measure the store’s real ability to convert traffic.

€ Revenue per visitor

Relate revenue to visitor traffic to compare performance independently of traffic volume.

◷ Hours & staffing

Identify busy periods and compare them with hours worked to optimise staffing.

▦ Network performance

Compare stores, regions, concepts or formats using consistent visitor data.

◎ Marketing & operations

Measure the impact of a campaign, window display, event or commercial operation on actual traffic.

☼ Weather & seasonality

Put traffic variations into context and separate external effects from operational performance.

A network view without losing the reality of each store

A retail management team must be able to move from a national view to a specific store without changing its analysis logic. OPTEIO tracks trends by day, week, month or year, compares multiple sites and highlights significant differences.

  • Store ranking and comparison
  • Year-on-year and comparable-period trends
  • Entrances, exits and net visitor traffic
  • Visitor traffic / sales / hours-worked ratios
  • Analysis of traffic peaks and troughs
  • Excel exports and API integration
THE VALUE IS IN THE ANALYSIS

◎ Actionable data, not just another counter

The goal is not to add another number to a dashboard. It is to create a reference dataset capable of explaining commercial performance and supporting decisions.

Retailers that trust us

We help store chains and retail networks monitor footfall and performance, including Saint Maclou, Aubade, Balzac Paris, Kids Around, Casanera, Happy Cash and Adopt, alongside many other networks and stores.

Our solutions are designed to start with a few stores, validate the key indicators and then scale deployment across the entire network.

From sensor to network data

◎ Measure

Sensors adapted to the store configuration provide reliable visitor data.

▦ Centralise

All network data is brought together in one platform and structured by site.

Visitor traffic, sales, schedules, weather and other business data can be combined to build your KPIs.

Frequently asked questions about in-store people counting

Why count store visitors?

Counting separates traffic from commercial performance. By combining visitor numbers, sales and working hours, a retailer can calculate conversion rates, revenue per visitor and staffing efficiency.

Which KPIs can be built from visitor traffic?

Key indicators include conversion rate, revenue per visitor, hourly footfall, the footfall-to-hours-worked ratio, differences between stores, the impact of marketing campaigns and changes compared with previous periods.

Can several stores in the same network be compared?

Yes. Data can be consolidated at network level while retaining store-by-store analysis. This makes it possible to compare performance on a consistent basis and quickly identify significant differences.

Can counting work with POS data or our business tools?

Yes. Visitor data can be exported or integrated via API and combined with sales, schedules or other business data.

Calculate your potential for free

Let’s discuss your network

Want to compare stores, build new KPIs or better understand what drives performance? Let’s discuss your data and objectives.