Our development team have worked tirelessly to bring our customers a more in-depth and customisable platform, to enable you to get the most out of our service. Our biggest improvement is, we now have super-fast report loading speed, which was developed from your feedback.
Here is a full run through from start to finish of our Insights Platform:
1.Dashboard and Filters
- Apply filters you are going to want to apply to the data set you are interested in seeing. Choose either a pre-set or custom date range using the calendar.
- Select the venue/group(s) you would like to see data from
- Choose the granularity you want the data to be shown in e.g., day/hour/week etc.
- Add in a calendar marker (same as in the previous version) to track and log any changes you have made that you feel may have an impact on guest Wi-Fi metrics. E.g., changing you opt in message or adding signage to venues.
You can schedule this report to be sent to you and your team regularly or on a one-off basis, download a PDF using the buttons at the top right-hand side of the report.
The dashboard displays the key data figures:
Total logins- This counts the number of new and repeat logins (if the same person has logged in 10 times during the period you selected, this would be shown as 10 times on this figure).
New users- Wi-Fi users who have logged on for the first time
Repeat logins- The number of Wi-Fi users who have logged on previously.
Social login rate- the % of Wi-Fi users who have used either Facebook or Twitter to log in.
Opt in rate- The % of Wi-Fi users who have opted in to receive marketing.
New marketable data- The number of email addresses collected from Wi-Fi users who have agreed to receive marketing.
These figures also show the figures from the previous period you have selected. E.g., if you have selected ‘last 6 months’ the figure underneath will be of the 6 months before.
2. Standard Reports:
Logins- This is an in-depth breakdown of the dashboard report, displayed as a timeseries, with the aim to assist you in trend analysis and identifying any peaks or troughs in any of these metrics over a period of time. The granularity and calendar filters are particularly handy on this report in terms of providing a further breakdown and also the calendar marker will sit over the data from the date it was implemented, which you can then see the impact.
On each of these graphs, there is an option to download each, individually, in a CSV format.
Demographics- This can help you further understand your customer base/audience and assist in external marketing campaigns based on the types of individuals who are visiting your venue(s). This data is pulled from the login form and social login methods. Note: If you do not have gender and DOB enabled on the login form, data will still be shown in here as it will still collect from Facebook/Twitter, if enabled.
This data can be pushed into your CRM to help with segmentation.
3. Presence- This is an additional service which we provide, whereby a sensor is linked up to your access points and will send out a signal to any Wi-Fi enabled device which will then be stored in the sensor. The purpose of this is predominantly based around understanding footfall analysis and guest behaviour through means of dwell time.
Unlike in the previous version of insights, the number of guests who have been seen for longer than 10 minutes (conversion time), is now supported by login data. So, we are providing a more accurate report of how long guests are staying, only if they have logged onto the Wi-Fi at least once before. This change gives a truer representation of your customers behaviour.
This chart shows the total number of devices the presence sensor has detected passing by (blue line) compared to the total number of devices which have been detected for longer than 10 minutes (converted) and most likely a guest (green line).
Conversion rate- This shows the green line as a percentage of the blue line.
Average Dwell time- This shows the average amount of time a guest who have logged onto the Wi-Fi are staying for in your venue(s) in minutes.
Total devices by day and hour- shows a breakdown of the total amount of devices seen on each hour of each day. This can bring value to see trends and can assist with external changes e.g., staffing/promotions.
Behaviour- This report now shows repeat visits are using the Wi-Fi login data only. Making this more accurate. This data is created using the presence sensor and gives the average number of visits and visit duration of those who have logged onto Wi-Fi.
Average visits per user- Looks at the number of times, on average, a guest would visit in a 3-month rolling period. E.g., if a guest logged on in January, we would track how many times that guest would come back in February, March and April and use that three-month window to calculate an average. You can see the data by hovering over the bars on the graph.
Percentage of visitors returning- Displays the same data set as the average visits per user report, but in a percentage form.
Average dwell time- Looks at how long on average a guest would be staying in the venue based on whether they opted in or not.
These reports offer an extra level of insight by further breaking the data down into opted in vs not opted in guests. So, for example, if you are sending out loyalty marketing emails to encourage guests to return or stay longer, you can use this as a way to gauge whether they are having an impact.
4. Venues- Provides a table breakdown of individual venues. You will be able to see an easily comparable data set of each venue based on all standard reports discussed above. This is really useful to see which venues are top performers and spot opportunities to improve others.
5. Segments- This is a new feature which allows you to create groups based on the Wi-Fi data you have collected and create bespoke segments for custom reporting. To set up a segment; click ‘add segment’ > title your segment > click ‘add filter’ and begin creating the criteria for the data you wish to be included here e.g. gender, age, opt in or even Hedgehog (our vouchering feature). This can also be used to include liked pages from guests Facebook profiles who used Facebook as a login method, to target guests based on their interests. E.g., for the World cup, we can create a segment to target all guests who have displayed an interest in football. You can include as many filters as you like. Once completed, click ‘save’ and you can go back in and edit this as you please. Another added layer to breakdown your data
There is also a calculation process feature which shows how fast the data is being sourced through the insight’s platform.
6. Custom reports
Our Custom Reports tool provides you with a more flexible and tailored means of analysing your captured data. You can choose from a number of widgets, dependant on how you would like your graphs to be displayed.
How to create a Custom Report:
Custom reports > New Report
Name your report e.g., ‘Monthly data figures’
Pre-set to Standard report V2
Can assign a report to a folder. To create a new folder, begin typing the name in the blank box and click the ‘enter’ key.
Filters- same as standard report- these are master settings for the report.
Click edit button
Select ‘add widget’
Widgets:
Figure- displays the data in the same way as on the dashboard
Time series- displays the same as on the logins report- tracking over a period of time
Table- displays the same as on the ‘venues’ tab-great for comparing venues in one place
Pie chart- displays the same as the demographics- breaking down gender and age groups
Info box- add in headings or notes to report to give context
Benchmarking *COMING SOON*- Opportunity to do industry benchmarking with your venues for metrics such as opt in rate and average visits per user.
7. Support
This provides access to general contacts for both the CS and tech team, in case you require any further assistance.
There is also a link to our Knowledge Base, which contains helpful and useful tips and tricks on how to navigate your way through the platform.
8. Calendars
Calendars are a tool you can use to measure how a marketing campaign or event has impacted your login data. You can create new or amend an existing marker.
Go to ‘Calendars’ on the left-hand side menu
Select ‘Add calendar’
Name your Calendar (e.g., Tribute Band Weekend)
Select the Access Group you would like the calendar to apply to
Click ‘Add Calendar’
Click on the Name of your calendar
Select the dates you want the calendar to cover
Click ‘add event’
Go back to the ‘Logins’ on the left-hand menu
Select the calendar event from the drop down
Click ‘apply’
The marker will appear on the charts
9. Venue groups-
Click ‘Venue Groups’ under ‘Administration’ on the left-hand side menu
Click ‘Add Group’
3. Name your group (e.g., London venues, Brand name etc)
4. Select your ‘Access Group’
5. Click ’Add Group’
6. Select the venue name you have created
7. Select your venue from the drop-down list
8. Click ‘Add Venue’
9. Once you have added all venues, click ‘save’
10. To edit the name or access group click the ‘edit’ button
11. Go back to the dashboard
12. Select the venue group from the filter box on your chosen standard report
13. Click ‘Apply’
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