Using the dashboards
All the dashboards allow to measure the metrics on the page over a customizable period of time and aggregate the data across all the Locations or inspect each individual Location.
You can choose the Observation Period from the top of the page, select all the Locations of the Organization or pick one specific Location at a time.
All the metrics are compared with the value of the same metric computed over the Previous Period, defined as the period of the same amount of days immediately before and adjacent to the Observation Period.
The Overview dashboard allows measuring the traffic metrics over a period of time. All the metrics are shown as a single counter over the period, in a form of a number or a percentage.
For example, the number of Visitors in this page represents the total number of unique individuals who made at least one Visit over the observation period. An individual who made one Visit at the beginning of the period and one at the end still counts as one unique Visitor.
The dashboard presents all the metrics described below in the paragraph Traffic metrics.
The Trends dashboard allows measuring the evolution of the relevant traffic metrics over a period of time. It is possible to visualize one metric at a time, by selecting it from a menu on the top of the main timeline chart.
The timeline chart presents the value of the metric computed over the single Time Unit, represented on the X-axis. The Time Unit can be a day, a week or a month. The available choices depend on the extent of the total Observation Period.
For example, when representing the time series of the Visitors, each value on the chart represents the number of individuals who made at least one visit in the Time Unit (for example in the same day). If an individual makes distinct Visits in multiple distinct days, then this is counted as a Visitor in each day (or in each Time Unit in general).
The dashboard presents all the metrics described below in the paragraph Traffic metrics except for Returning Visitors.
Metrics that count traffic "events":
- Visits: a Visit is a physical event corresponding to an individual who has been detected and has a behavior matching a specific pattern that takes into account his dwelling time and his position.
The dwelling time and Location parameters can be personalized and tuned in the Settings Page based on the specific scenario and the business needs.
An individual who completes a Visit is defined as a Visitor. A Visitor may make multiple Visits in a certain period of time.
- Missed Visits: these are all the events detected that didn't match the conditions to be classified as Visits. For example, a passerby individual who is too far or doesn't dwell long enough may result in a missed visit event.
- Potential Visits: this is the total number events detected nearby the Location, independently from the event classification, and it coincides with the sum of Visits and Missed Visits.
- Average Visit Time: this is the average duration of all the Visits accounted in the observation period
- Attraction rate: percentage of the Potential Visits that converts into a Visit
- Engaged Visits: percentage of Visits with a duration longer than X minutes
- Bounced Visits: percentage of Visits shorter than X minutes
Metrics that count "individuals":
- Visitors: individuals who made at least one Visit in the observation period.
A Visitors may have done multiple Visits in the observation time, but since he is the same individual it counts as one single Visitors.
- Missed Visitors: individuals who have been detected nearby the Location (Potential Visitors) but never did a Visit during the observation period.
- Potential Visitors: individuals who were seen nearby the Location and could potentially visit the Location, independently from their behavior, proximity and dwelling time.
- Returning Visitors: this is the total count of natural persons who already visited the Location before the beginning of the observation period.
The Peak dashboard allows you to identify the peak business hours and the busiest weekdays for your locations and zones.
You can filter your data by location and zone. If all your zones belong to a single location, then you can select a location and, after that, you will be able to filter also by zone.
The available widgets for this section are:
- Busiest hour (weekdays only)
- Busiest hour (weekend only)
- Busiest day of the week
- Foot traffic by time of the day
- Average traffic per hour
- Average traffic per day