Understanding how customers interact with the physical store
In an increasingly omnichannel retail environment, knowing only sales figures is no longer enough to understand a store's performance.
Havaianas needed to understand how customers use the physical space, which areas generate the most interest and how to optimize the shopping experience with objective, continuous information.
The main needs of the project included:
- Measuring visitor footfall in each store.
- Analyzing customer dwell time.
- Understanding journeys within the store.
- Identifying the areas with the most interaction.
- Assessing the impact of changes in visual merchandising.
- Comparing behavior across different stores and markets.
- Getting real-time information to support operational decisions.
The goal was to add a layer of intelligence that would turn the daily activity of the stores into useful information for managing the business.
A platform to turn behavior into knowledge
Flame Analytics deployed an in-store analytics platform able to capture and process information on visitor behavior in a fully anonymized, privacy-respecting way.
Thanks to WiFi analytics technology and smart sensors, Havaianas can learn key indicators such as footfall, visit frequency, dwell time or the journeys taken within the store.
This data makes it possible to understand how customers interact with the retail space and to assess the effectiveness of product distribution, promotional campaigns and changes made in the store.
The platform also provides access to real-time dashboards from which teams can analyze the evolution of each store and compare results across different locations.
A project designed for an international network
The solution was designed to adapt to a store network spread across different countries, making it possible to keep a consistent measurement methodology and have comparable indicators across stores.
Thanks to this unified view, Havaianas can analyze global trends without losing the specific detail of each store.
Connected stores and data-driven decisions
With the implementation of Flame Analytics, Havaianas has continuous information on the activity of its physical stores.
Teams can analyze the evolution of visitors, identify peak hours, study behavior patterns and assess the impact of commercial actions practically in real time.
This information supports decisions related to:
- Layout optimization.
- In-store resource management.
- Campaign evaluation.
- Commercial planning.
- Improving the customer experience.
From the point of sale to smarter management
The project marks an important step within Havaianas' retail digitalization strategy.
Having reliable data on visitor behavior makes it possible to transform the traditional management of the physical store into a model based on objective information and continuous analysis.
Beyond measuring visitors, the company gains a new capability to better understand how its retail spaces work and how to optimize the shopping experience in each market.