Understanding everything that happens before the purchase
Sales show the final outcome of commercial activity, but they do not explain how customers behave during their visit.
Decathlon needed to answer key questions to improve the management of its stores:
- How many visitors does each store receive?
- How do traffic flows evolve throughout the day?
- Which areas concentrate the most activity?
- How long do customers stay in the store?
- How can product distribution be optimized?
- How can the allocation of in-store resources be improved?
- How can this data be used to improve the shopping experience?
The goal was to add a layer of intelligence that would turn visitor behavior into a tool to optimize operations and improve business performance.
A complete view of in-store behavior
Flame Analytics deployed a platform able to measure and analyze visitor activity inside the store through traffic, dwell-time and behavior indicators.
Thanks to this data, Decathlon can learn how customers use the retail space, identify the areas with the most activity and assess the impact of changes in product distribution or commercial campaigns.
The information is presented through intuitive dashboards that make it possible to analyze the evolution of each store and support decision-making with objective data.
Data to optimize the shopping experience
The analytics generated by Flame help improve key aspects of daily operations, such as the organization of the retail space, resource planning or the evaluation of marketing initiatives.
This information enables more efficient point-of-sale management and allows the experience to be continuously adapted to customers' real needs.
Information to improve every store
With Flame Analytics, Decathlon has continuous information on the activity of its stores.
Teams can analyze footfall patterns, study visitor journeys, identify improvement opportunities and assess the impact of the changes made at the point of sale.
This data helps support decisions related to:
- Layout optimization.
- Product organization.
- Resource management.
- Campaign evaluation.
- Improving the customer experience.
From customer behavior to continuous improvement
The project marks another step in Decathlon's strategy to manage its stores through objective information.
Having indicators on visitor behavior makes it possible to better understand how retail spaces work and to apply continuous improvements based on real data.
Thanks to Flame Analytics, the company turns the daily activity of its stores into useful knowledge to optimize operations, strengthen the shopping experience and improve the performance of its retail network.