Contact us and we will be happy to answer any questions that you may have about our customer demographics technology and processes.
Customer Demographics Software
Pedestrian doorways or points of interest are equipped with DoorStat sensors to automatically analyze foot traffic & associated demographic info for attendees through our video-based software. The software, working in real-time, collects, analyzes, and reports on customer demographics information, including the gender, age, ethnicity, and mood of each customer. The data is stored in our data warehouse located in the cloud. On demand access to the customer demographics is provided via our easy-to-use online administrative console to generate easy to read customer demographics reports and graphs.
Our Engagements Follow These Steps
Step 1: Setup & Installation
DoorStat sets up people counting and demographic sensors at pedestrian doorways or points of interest where the technology automatically analyzes foot traffic & associated demographic info for attendees through video-based, proprietary software. In certain instances, your existing video-based infrastructure can be leveraged .
Step 2: Data Collection
The software, working in real-time, will collect, analyze, and report on customer demographic information, including the gender, age, ethnicity, and mood of each customer. Because customers are passively analyzed, DoorStat collects information on more customers than would be possible through surveys, other forms of technology, or high-overhead initiatives.
Step 3: Data Visualization & Verification
Login to DoorStat’s administration console to view the customer traffic flow and demographic information. View tabular data in reports or visualize in graphical form to expose the trends in the data. Optionally, use our data verification tool to analyze the details of the raw data and make adjustments to ensure the integrity of your data.
Step 4: Data Insights
DoorStat data helps retailers improve customer experience, optimize staffing/operations, validate marketing efforts, identify customer/product correlations, & predict future behavior.