Which foot-traffic analytics does BlueZoo provide? – BlueZoo

BlueFox foot-traffic analytics are listed below-

Analytic	Analytic Visualizations or Charts	Description	Historical Record Retained
Visit count	Impressions, Visits, Total Visits, Cumulative Visits, Hourly Performance, Visit Comparisons by Day and Hour for Individual Sensor Locations. Visit Aggregations for Groups of sensors and Comparisons between locations. Visitors, Real Time Count, Occupancy, and Historical Real Time Cumulative Count.	Visits equate to impressions in the advertising context or shoppers for the retail context. A visit is recorded every time someone enters the location sensor INNER detection range. The INNER range is determined by a defined detection range radius. The raw detection of mobile devices is recorded then the raw "count" is modified by an algorithm method to estimate a foot traffic visit count. The algorithm is the outcome of the sensor calibration process. A visit is open at first detection to the INNER range and the visit is closed when the detection shifts to the OUTER range or when no probe is detected for 10 minutes. If the visitor returns to the INNER range following closed visit the visit count is incremented.	Visit count is saved in 15 minute Intervals. However, cumulative count is incremented with any new visits by each pulse sent to the BlueFox cloud every 20 seconds. (Note: For some BlueFox customers the historic visit count is retained at 1 hour intervals).
Unique Visitors Count	Total Unique Visitor, Cumulative Unique Visitor by Time Span Daily, Weekly, Monthly, Custom Range with start date and end date.	The Unique Visitor Count use case is fulfilled using a statistical structure with a beginning and end date. BlueFox patented technology will detect the first visit and the subsequent recurrence so that the visitor is only counted once during the time span. The data structure has no record of time. It functions to simply determine if a device was detected once and whether it had been seen before during the time span duration. But the data structure keeps no timestamp record of when the device was detected. Unique Visitor Count can be configured for individual sensor locations or across a group of sensors. In the group case one person might record 5 visits across 5 sensors but the Unique Visit count will only increment once.	A snapshot of the cumulative unique visitor count is recorded every 24 hours for the prior day for the duration of the time span. Daily cumulative unique visitor counts reset daily. Weekly cumulative visitor counts reset on Monday. Monthly cumulative visitor counts reset on the first of each month.
Conversion	Conversion Percentage or Windows Conversion Percentage for one location or a comparison of locations or an aggregation of all locations. Shoppers and Passersby.	Conversion is calculated by comparing the total number detected in the OUTER range compared to the total number of visits in the INNER range. Conversion is calculated when the visit is closed. For example, if the total number detected in the OUTER range is 1000 and the total number of INNER range detections is 100 the Conversion percentage is 10%, meaning 10% of those passing by entered the INNER range of the sensor.	15 minute Intervals
Dwell Time	Dwell Time % by bin duration for a one location or across a group of locations	Percentage of visits where the length of the visit is within the duration interval (or bin size). For a group of sensors we can provide the aggregate percentage of visits for all locations where the length of the visit is within the duration interval. Dwell Time is calculated when the visit is closed.	15 minute Intervals 105 bin sizes across a 24 hour time span beginning at 1 minute resolution the decreasing resolution to 15 min, to 30 min, to 1 hour time slots.
Recurrence	Frequency	Recurrence Frequency is captured by recording the number of times the same device is detected. Normally we record the frequency of recurrence once, twice, three, and four or more times.	A snapshot of the cumulative recurrence for each frequency is recorded every 24 hours for the duration of the time span for the prior day.
BlueFox Convert	Drive to Store Percentage, Foot Traffic Distribution between locations.	Convert captures the intersection of unique visitors between locations. Convert is directional. Convert will record if a unique visitor at one location was seen prior at another location.	A snapshot of the cumulative intersection percentage is recorded every 24 hours for the duration of the time span for the prior day.
BlueFox Flow	BlueFox Flow journey metrics for transition, correlation, segmentation, and duration	BlueFox Flow records journeys within a network of sensors and determines the distribution of time spent in the journey and which locations were visited. Transition will return the percentage of journeys visited to a location first, next, and last. Correlation will return the percentage of journeys at one location that also visited another location. Segmentation returns journey characteristics based on duration and locations visited. BlueFox Flow requires a group of sensors to be close proximity where the distance between one sensor and the next sensor is no more than 10 mins walk. A journey is closed when the mobile device is not detected by any sensor in the group for 10 minutes.	A 24 hour span is captured. BlueFox Flow resets daily at midnight local time.

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