Social Analytics - getting more information on your end-users and their interaction with social networks

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You can find Social Analytics under the Social Marketing application, in the Reports tab.

If you are looking for more information about this application, please visit the following article: Social Marketing – gain visibility on social media networks.

 

How to use the header toolbar

The header toolbar allows you to filter your data by Tenant / Venue / Hotspot (according to your system level), refresh data and export data to an XLS file.

 



Filtering data by Tenant / Venue / Hotspot

  • The MSP Owner is able to filter results by Tenant / Venue / Hotspot
  • The Tenant is able to filter results by Venue / Hotspot
  • The Venue Manager is able to filter results by Hotspot

Refreshing your data

If you need to display updated data, you can click on the button and see the most recent data for Analytics.
Real time data belongs to 15 to 20 minutes ago so if you are loading the page for the first time, filtering or refreshing data, you will see values between 15 to 20 minutes old. Please note that the Header toolbar displays the date and the time of the last update.

Exporting data to an XLS file

You can export all the data to an XLS file, by clicking on the Export button at the top-right corner of the page. Please note that the data included in the XLS file is based on the values selected in the filters described above.

 

Charts

Net Add Social Sign-in/Sign-up

This chart shows the number of new end-users who registered or logged in to the Splash Portal, within a specific time interval.

Please note that only new end-users are considered. Authentications performed by end-users who registered before the selected time interval, are not counted.

Data is grouped according to all log-in methods available in the platform including:

  • User account: this is the traditional sign-in/sign-up method that allows the end-user to enter a username and password to access the Internet.
  • Click-through: this is the sign-in/sign-up method that allows the end-user to access the service just by clicking on a button in the Splash Portal.
  • Facebook: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Facebook credentials.
  • LinkedIn: this is the sign-in/sign-up method that allows the end-user to access the service by entering his LinkedIn credentials.
  • Twitter: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Twitter credentials.
  • Google: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Google+ credentials.
  • VKontakte: this is the sign-in/sign-up method that allows the end-user to access the service by entering his VKontakte credentials.

You can display these information by selecting the following time intervals:

  • Last 7 days
  • Last 2 weeks
  • Last 4 weeks
  • Last 3 months



Social Loyalty

This chart shows the trends considering the use of social login as a sign-up option within a specific time interval.

Please note that only new end-users are considered. Authentications performed by end-users who registered before the selected time interval are not counted.

Data is grouped according to all log-in methods available in the platform including:

  • User account: this is the traditional sign-in/sign-up method that allows the end-user to enter a username and password to access the Internet.
  • Click-through: this is the sign-in/sign-up method that allows the end-user to access the service just by clicking on a button in the Splash Portal.
  • Facebook: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Facebook credentials.
  • LinkedIn: this is the sign-in/sign-up method that allows the end-user to access the service by entering his LinkedIn credentials.
  • Twitter: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Twitter credentials.
  • Google: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Google+ credentials.
  • VKontakte: this is the sign-in/sign-up method that allows the end-user to access the service by entering his VKontakte credentials.

For every login method, it is possible to distinguish between new end-users (just registered) and repeat end-users (already registered).

You can display these information by selecting the following time intervals in the drop-down menu:

  • Last 7 days
  • Last 2 weeks
  • Last 4 weeks
  • Last 3 months

The data of the selected time intervals is compared with a previous adjacent time interval of the same length.
For instance: if you select Last 7 days, last week's data will be compared with data that belongs to the week before that.

As a result of the comparison, a percentage of the change is displayed. (As an example if the data is the same, the change will be 0%, if last week's data is greater than the previous ones then it will be greater than 0% etc.).


Sign-in/Sign-up Method Share

This chart shows the accounts of the end-users available to the MSP Owner, Tenant or Venue Manager, in percentage. The data is grouped based on the log-in method.

The data is displayed according to the level of the system user.

Login methods are:

  • User account: this is the traditional sign-in/sign-up method that allows the end-user to enter a username and password to access the Internet.
  • Click-through: this is the sign-in/sign-up method that allows the end-user to access the service just by clicking on a button in the Splash Portal.
  • Facebook: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Facebook credentials.
  • LinkedIn: this is the sign-in/sign-up method that allows the end-user to access the service by entering his LinkedIn credentials.
  • Twitter: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Twitter credentials.
  • Google: this is the sign-in/sign-up method that allows the end-user to access the service by entering his Google+ credentials.
  • VKontakte: this is the sign-in/sign-up method that allows the end-user to access the service by entering his VKontakte credentials.


Demographic : (all WiFi users)

This chart shows the accounts of the end-users, grouped based on gender and presented in percentage. The data is displayed according to the level of the system user.

In addition, this widget shows the distribution of genders for the following age groups, in percentage:

  • 20+
  • 21-35
  • 36-40
  • 41-45
  • 45-50
  • 50+


Demographic

This pie chart shows (in percentage) the number of end-users, grouped by social networks. The data is displayed according to the level of the system user.

The available social networks for this statistics are: Facebook, Google+, VKontakte.

It is possible to display the following information, overall or separately for each social media network:

  • Gender
  • Age, available for the following age groups:
    • 20+
    • 21-35
    • 36-40
    • 41-45
    • 45-50
    • 50+

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