Capture and manage the complete physical funnel
in, near and around your stores
 Clothing Store |
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 Bicycle Store |
 Yarn Store |
 Record Store |
 Vegetable Store |
 Sewing Supply Store |
 Interior of Children's Clothing Store |
 Gardening Store |
 Woman Browsing in Clothing Store |
 Shopping in Pet Store |
Use Onspota Analytics to quickly adjust to the new normal.
Your decisions are as good as your data and Onspot Analytics delivers the widest spectrum of foot traffic KPI's in the market.
Foot traffic Analytics
Get deeper insights, measure performance and optimize processes based on complete foot traffic data.
Analyse, traffic, audience walk-ins and visit while excluding your staff and suppliers. Understand KPI's such as engagement, capture rates and conversion rates, all crucial for informed decisions.
Key KPI's
Audience around
Audience near (Passes by)
Walk ins
Capture rates
Engagement metrics
Average visit duration
Visits bounce rate
Conversion rates
Returning and new visitors
Audience Pulse Alerts
Use Foot Traffic Pulse Engine and to identify audience trends and respond faster to abnormal dynamics in and around your stores.
Onspota employs statistical process control (SPC) and regression algorithms to compute KPI's, standards and thresholds per each store, hour and day.
Examples
The number of visits until noon
has exceeds the lower thresholds for summer Mondays.
The load and average visit duration for last 4 hours are 35% higher than usual. Consider long queues.
Reports & data access
Onspota offer several options for data access and visualizations including executive dashboards, tailored report and deep dive analysis.
Integrating our data with your internal BI system is a simple task.
Dashboards
Enabling a glance view of key performance indicators
Reports
Preprocessed and custom made reports which are "pushed" to users
Foot traffic analyzer
Enabling "deep dive" for business analysts and comparison analysis
API
Enabling simple and secured integration with internal BI systems.
We are helping hundreds of stores
and detecting millions of movements every day
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