How does the event comparison tool work?
It can be useful to know how your sales are doing with regards to past editions. This guide will show you how to compare your events.
We understand that it's important for you to stay on top of your affairs, and - as we often get questions from organisers asking if ticket sales are going well - we have developed a tool that will give you proper insight into the progress of your sales. Our tool allows you to draw comparisons between multiple events. You can compare your event’s ticket sales with those of past events, or you can compare multiple events that are still in the process of selling tickets. This guide will show you how to get a running start using our comparison tool.
1. Go to your ‘Dashboard’, click on the ‘Tools’ drop-down menu on the left side of your screen and select ‘Compare events’. This will bring you to the comparison tool where you’ll be able to select your different events to use as your data sets.
2. To enter your first event press the drop-down box ‘Select an event’, which is located next to ‘Ticket selection’. Then select what tickets you would like to include in your comparison by clicking on the ‘Select tickets’ drop-down menu and toggling them on or off; all tickets are toggled on by default.
To make browsing events easier, you can choose to add a filter by clicking on the icon next to ‘Select an event’, this will give you the choice between ‘all events’, ‘upcoming events’ and ‘past events’.
3. Now you have your first data set selected it’s time to move on to the second event you would like to compare. To do this, press ‘Add Event’ in the grey box and repeat step 2. You can add even more events as data sets if you want, but we’ll stick to two for the purpose of this guide.
4. Once you have all your data sets selected, all you need to do is hit the big blue ‘Analyse data’ button and you’ll be presented with a graph depicting the different data values. Disclaimer: Depending on the amount of data you’re requesting it may take a while to load the graph.
When comparing events that have been imported by Eventix, don’t forget to toggle on the ‘Include free tickets’ function. By doing so you will get a more accurate representation of how many visitors you’ve had.
5. Once the graph has loaded, you’ll be able to alter three elements of the graph:
Point of view you want to start comparing
Type of data you want to compare
This function allows you to select the accuracy of the visualisation of your data, which you can choose to have presented in terms of months, weeks, days or hours.
Point of view you want to start comparing from
It’s often the case that when we overlap the data of different events, the periods of sales do not align perfectly: one may have been selling tickets for a couple of days, whereas another might have sold tickets for weeks or even months longer. To help give you a better overview of your events, we have added this feature which offers different perspectives that may well lead to alternate interpretations. The options are ‘Start of ticket sales’ or ‘Start of event’.
Start of ticket sales: If you choose to start your comparison from the perspective of the start of ticket sales, you can compare which event is/was ahead or behind in terms of ticket sales after a certain period. See the screenshot below for an example.
Start of event: You can also choose to start the comparison from the perspective of the start of the event, which works particularly well when both events happened in the past. In the graph below you can see how the 2017 sales went much better than the 2016 sales. In fact, the 2017 sales exceeded the 2016 sales on their third day.
The type of data you want to compare
Within the event comparison tool, there are four different ways to visualize your data.
Tickets sold: In this visualisation, the comparison tool will show the tickets sold per unit of time selected in the ‘Time precision’ function.
Tickets sold (cumulative): In this visualisation, the comparison tool will show the tickets sold on a cumulative level, this means the tickets sold will be stacked from when ticket sales began.
Revenue: In this visualisation, the comparison tool will show the revenue per unit of time selected in the ‘Time precision’ function.
Revenue (cumulative): In this visualisation, the comparison tool will show the tickets sold on a cumulative level, this means the tickets sold will be stacked from when ticket sales began.
Thanks for reading, if you have feedback or questions about these guides, please contact us at firstname.lastname@example.org.