Presence Analytics

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Presence Analytics is an add-on that monitors the visitors by directly communicating with Presence-enabled devices, such as FogSense and Meraki, Aerohive, OpenMesh access points.

 

Definitions

In order to clearly understand the application and this guide, it is necessary to define the meaning of the following terms:

  • Visit: a Visit is a registered event of a Device who stopped by in a location close enough and for long enough to be considered a potential shopper.
    The minimum distance and dwelling time to classify the event as a Visit are customizable in the Settings of the Presence Analytics

  • Passerby Visits:  A Missed Visits is a registered event of a Device who walks by a location, but too far or not long enough to be considered a potential shopper.  Technically the event is registered as a Device who is detected in the proximity of the Node and doesn’t match the criteria to be considered a Visit event. 
  • Total Traffic: the Total Trafic measures the level of traffic in the proximity of the Node. Technically it is computed as the sum of the Visits events and the Missed Visits events
  • Visitor: a Visitor is an individual who made one or more Visits in the observation Period. For example, if a person made two Visits in a Day, it counts two Visits and only one Visitor

 


Presence analytics dashboard

Search filters

At the top of the screen you can find a search filter where you can select a particular Venue or Hotspot, or search in the following time intervals:

  • Yesterday
  • Last seven days
  • Current month
  • Last month
  • Custom range (that is any time interval selected by the system user).

 

Widgets



The widgets contain data created in the time interval displayed in the search filter. The following information is given:

  • Attraction Rate: the Attraction Rate represents the percentage of the Total Traffic that is converted to a Visit.

  • Unique Visitors: this is the number of unique individuals who made at least 1 Visit in the observation period.

  • Repeat Visitors: this is the number of Visitors in the Period who made more than one Visit

  • Average Visit Duration: this is the average duration of all the Visits in the observation period


You will find data variation compared to the previous time interval.

 

"Total Traffic" charts

This is a stacked area chart representing the Total Traffic (either classified as Visits or Passerby) captured in each time slot (12am-8am, 8am-11am, 11am-1pm, 1pm-4pm, 4pm-8pm, 8pm-11pm) in the Period.

"Traffic" charts

The first chart box deals with the traffic. You can select the following charts created in the time interval displayed in the search filter:

  • Traffic: this is a line chart representing the number of Visits and Passerby Visits



  • Capture Rate: this is a line chart representing the percentage of Visits over the Total Opportunity



  • Traffic by Time of Day this is a bar chart representing the number Visits and Passerby Visits for every time slot in a day (12am-8am, 8am-11am, 11am-1pm, 1pm-4pm, 4pm-8pm, 8pm-11pm).





By clicking on the Export button, you can export data to an Excel spreadsheet.

"Visits By Duration" charts

The second chart box deals with the duration of the Visits. This is a stacked bar chart representing the total number of Visits by Visits Duration range (5 mins, 5-15 mins, 15-30 mins, 30-45 mins, 45-60 mins).

By clicking on the Export button, you can export data to an Excel spreadsheet.



"Repeat Visitors by Frequency" charts

The third chart box deals with user loyalty and Visits frequency. You can select the following charts created in the time interval displayed in the search filter:

  • Repeat Visitors by Frequency: represents for each Time Unit the percentage of Visitors categorized by the number of the Visits they made on the location (1 Visit, 2 Visits, 3-5 visits, More than 5 visits) since the beginning of the Period.



  • Repeat Visitors Rate: represents for each Time Unit the percentage of Visitors who made more than one Visit since the beginning of the Period.





 

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