Social Analytics provides you demographic and engagement information from users, allowing you to understand who is visiting and using the hotspot.

It gives information about the age, gender and any other relevant information that is offered in end-users social networking profile. In this way you can share customized offers, track consumers behavior and build and increase your brand awareness.

A relevant aspect to consider is that building a successful marketing campaign becomes really important to gather as many information as possible from the end-users that enjoy your Wi-Fi service.

If the application is enabled in the Marketplace, then it is possible to display these data by selecting Social from the drop-down menu in the top-left corner of the Analytics section.

The Tenant is able to filter results by selecting all WiFi Areas or only a particular WiFi Area. The Tenant and the WiFi Area Owner are able to filter results by selecting all Hotspots or only a particular Hotspot.
It is possible to export all data to an XLS file, by clicking the Export button at the top-right corner of the page
Exported statistics depend on the values selected in the filters of every chart in the page, so please pay attention on values of the filter before clicking the Export button.

In the following paragraphs all the statistics in the page are described in detail.

Net Add Social Sign-in/Sign-up

This chart shows how many end-users performed login (Sign-In) or registration (Sign-Up) actions to the Splash Portal in the chosen time interval.
Data are grouped according to all login methods available in the platform, such:

  • City Social WiFi: this is the traditional sign-in/sign-up method where the end-user has access credentials to remember (“user account” based)
  • Click-through: this is the sign-in/sign-up where the end-user is able to access the service just  by clicking an appropriate button in the Splash Portal
  • Facebook: this is the sign-in/sign-up method where the end-user is able to access the service by entering Facebook access credentials
  • LinkedIn: this is the sign-in/sign-up method where the end-user is able to access the service by entering LinkedIn access credentials
  • Twitter: this is the sign-in/sign-up method where the end-user is able to access the service by entering Twitter access credentials
  • Google: this is the sign-in/sign-up method where the end-user is able to access the service by entering Google+ access credentials
  • VKontakte: this is the sign-in/sign-up method where the end-user is able to access the service by entering VKontakte access credentials

It is possible to display this information, by selecting the following time intervals:

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

Social Loyalty

This table shows how many end-users performed the login action to the Splash Portal.

Data are grouped according to all login methods available in the platform, such:

  • City Social WiFi: this is the traditional sign-in/sign-up method where the end-user has access credentials to remember.
  • Click-through: this is the sign-in/sign-up where the end-user is able to access the service just  by clicking an appropriate button in the Splash Portal
  • Facebook: this is the sign-in/sign-up method where the end-user is able to access the service by entering Facebook access credentials
  • LinkedIn: this is the sign-in/sign-up method where the end-user is able to access the service by entering LinkedIn access credentials
  • Twitter: this is the sign-in/sign-up method where the end-user is able to access the service by entering Twitter access credentials
  • Google: this is the sign-in/sign-up method where the end-user is able to access the service by entering Google+ access credentials
  • VKontakte: this is the sign-in/sign-up method where the end-user is able to access the service by entering VKontakte access credentials

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

It is possible to display this 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 every selected time interval are compared with those of a previous adjacent time interval of the same length.
For example: if you select Last 7 days, data concern the last week, and they will be compared with those of the previous week.

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

Sign-in/Sign-up Method Share

This pie chart shows, in percentage, all the end-user’s accounts that are available in the Tenant or WiFi Area (according to the system user level), grouped on the login methods they are based on.
These login methods are:

  • City Social WiFi
  • Click-through
  • Facebook
  • LinkedIn
  • Twitter
  • Google
  • VKontakte

Demographic : (all WiFi users)

This line chart shows, in percentage, the number of end-user’s accounts grouped by gender (male or female)

In addition, this dashboard shows in percentage the distribution of male/females for the following age ranges:

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

Demographic

This pie chart shows, in percentage, the number of end-user’s accounts grouped by social network

Then, for each social network it is possible to display information, in percentage, on the following data:

  • Gender: Available for Facebook, Google+, VKontakte
  • Age: Available for Facebook, Google+, LinkedIn, VKontakte and then for the following age ranges:
    • 20+
    • 21-35
    • 36-40
    • 41-45
    • 45-50
    • 50+