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.
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.
Combine entrances with tickets or transactions to measure the store’s real ability to convert traffic.
Relate revenue to visitor traffic to compare performance independently of traffic volume.
Identify busy periods and compare them with hours worked to optimise staffing.
Compare stores, regions, concepts or formats using consistent visitor data.
Measure the impact of a campaign, window display, event or commercial operation on actual traffic.
Put traffic variations into context and separate external effects from operational performance.
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.
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.
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.
Sensors adapted to the store configuration provide reliable visitor data.
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.
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.
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.
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.
Yes. Visitor data can be exported or integrated via API and combined with sales, schedules or other business data.
Want to compare stores, build new KPIs or better understand what drives performance? Let’s discuss your data and objectives.