
Capillary
VisitorTrax

Redesigning for
Efficiency
VisitorTrax provides retailers with insights into store performance by analyzing customer behavior via heatmaps from in-store cameras. It identifies high-traffic areas and evaluates engagement, helping optimize layouts, improve product placement, and enhance the customer experience.
Key
Pain Points
Limited Insight into Customer Behavior
Retailers struggle to understand how customers move through their store, which zones they engage with, and how long they stay in specific sections.
Inefficient Store Layout and Product Placement
Without detailed data, retailers often miss opportunities to optimize product placement and store layout, leading to underutilized areas and poor customer engagement.
Inability to Track Customer Journeys in Real Time
Traditional analytics tools do not provide real-time tracking of customer journeys, making it difficult for store managers to quickly react to shifts in customer behavior or store performance.
Proposed
Solution
Heatmap and Dwell Time Analysis
VisitorTrax uses in-store cameras to generate heatmaps and dwell time metrics, providing real-time insights into customer traffic and engagement in different zones. This helps retailers optimize their layouts and product placements.
Offline Clickstream Tracking
By mapping customer journeys (offline clickstreams), VisitorTrax identifies popular tracks and drop-off points. This data allows retailers to adjust the layout and improve customer flow to high-engagement zones.
Customizable Reports and Timelapse Visualization
VisitorTrax offers customizable reports and timelapse visualizations, helping store managers analyze long-term performance trends, visualize traffic density over time, and make data-driven adjustments to store strategies.



Takeaways
Retailers often struggle to obtain real-time, data-driven insights into customer interactions within their stores, with traditional methods failing to capture the nuances of customer journeys. VisitorTrax addresses these gaps by offering granular data on customer movements, dwell times, and engagement across different store zones. The ability to visualize and analyze real-time and historical customer behavior empowers retailers to make informed, data-driven decisions that boost store performance and drive sales.