Solving event ticketing problems
What can you find out about the people who buy your tickets?
Promoters plan the next event on a feeling about the last one. Ticket Fairy keeps the answer instead: age and gender, city and country, the device they checked out on, the promoter or post that sent them, and whether they have bought from you before. It is all in the dashboard, and no export is needed to read it.
Every ticket sale tells you something: who bought, where they live, what they bought on, who sent them and whether they came back. Here is what each report holds and what to do with it.
- For
- Deciding your next event from what the last one tells you
- Takes
- 7 minutes
Six reports carry it between them. Demographics holds age, gender and profession. Devices holds what buyers bought on. Geographics holds where they are. Traffic holds how they arrived. Gaming names the Twitch channels among them. Customers holds who has bought from you before, across every event you run.
Most of it comes straight from your own completed orders, so the figures are about the people who bought. Traffic counts visits to your event page rather than orders, and gender and professions come from an audience match that runs about a day after your first sales, which is why the totals do not line up with each other. The guide behind each report says exactly what it counts.
Ask Fai for any of it in a sentence, and she reads the same reports, draws a chart or drafts the summary you send a sponsor. Nothing here needs an export or a second tool.
How Ticket Fairy helps
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Who they are
Age by year and by band, gender, and the jobs and employers of your buyers, so you can aim the next campaign at the people who bought this one.
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Where they are
Buyers by country and city, for one event or across every event your brand has run, which is how you pick the next city to play.
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How they arrived
The sites, posts and searches that brought visitors to your event page, and what share of them bought.
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Who brought them
The promoter, the tracking link or the buyer whose referral produced each sale, with the money beside each name.
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Who came back
Buyers across every event you run, with how many tickets each has bought and whether they are buying more or less than before.
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Who can reach an audience of their own
The Twitch channels among your buyers, with the size of each following, so you can offer the biggest ones something before the doors open.
Set it up
Before you start
- For the reports on one event, you're an owner or an admin on it, or you have a Stats or Limited Stats login for it.
- For the reports across every event, you're an owner or an admin on the brand, or you have a Stats login for it. A Limited Stats login does not open the brand reports.
- Your event has sold tickets. Age appears as soon as buyers give a date of birth, while gender and profession usually take about a day after the first sales.
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Start with age, because it changes the most
Open your event and select Demographics for the age bands and the gender split.
Note: Age is the figure that moves between a club night and a festival, and the one that decides which platform your next advert belongs on.
Demographics, Age Ranges. -
Read what they bought on
Select Devices for the browser, device, platform and model behind each order.
Note: A list that is mostly phones is worth acting on: open your own checkout on one before you spend anything more on advertising.
Devices. -
See which cities to play next
Open your brand and select Geographics for buyers by country and city.
Note: Read it across every event rather than one, because a single show tells you about that night and a brand tells you about your audience. The places come from the billing address on each order rather than the venue or where the buyer was when they bought.
Brand, Geographics. -
Find the people who keep coming back
Select Customers on your brand for everyone who has bought from you.
Note: The people who bought twice are the cheapest tickets you will sell next time, and they are the list to message first. It counts buyers, so a guest who has only ever been comped is not here.
Brand, Customers. -
Put the figures next to the money
Open your event, select Performance and select Sales by Type for one row per ticket type with what it sold and what it brought in.
Note: A band that buys in numbers and a band that spends are not always the same one, and this is where the difference shows.
Event, Performance, Sales by Type.
Try these steps on your own event
Create a free account, build your event and follow the steps above in your own dashboard. It takes a few minutes and you do not need to book a sales call.
No setup fees. No required monthly ticketing fee. No credit card required.
Or have it done for you
Ask Fai, the assistant inside your dashboard, for any of these figures in plain language. She reads the same reports and can draw the answer as a chart or turn it into a document you can send on.
In your dashboard, with Fai
For <EVENT NAME>, tell me which age band bought the most, which cities they came from and what they bought on, and draw the age bands as a chart
From your own assistant, over MCP
Connect your assistant to our MCP server and ask it:
Keep --read-only in your MCP configuration. This task only reads data, so your assistant does not need tools that make changes.
Find my event <EVENT NAME> and pull its age demographics and sales breakdown
Let Fai do it for you
Fai works inside your Ticket Fairy dashboard. Create your account, open Fai and paste the prompt above.
No setup fees. No required monthly ticketing fee. No credit card required.
Questions you might have
- Do I need to export anything to read these?
- No. Every report draws in the dashboard, and each one has a copy control for the times you want the rows in a spreadsheet.
- Why do two reports give me different totals?
- Each counts a slightly different thing. Age needs a date of birth, gender and profession come from a match that runs after your first sales, and Devices counts orders rather than people. The guide behind each report says exactly what it counts.
- Is this real buyer data or an estimate?
- The ages, devices, locations and repeat buyers are your own completed orders. Gender and professions come from an audience match that runs after your first sales, and Traffic counts visits to your event page. None of it is a modelled panel or a lookalike audience bought in.
- Can I see this across all my events rather than one?
- Yes. Geographics, Demographics and Customers all have a brand-level view that covers every event you have run.
- Who on my team can read these reports?
- On an event, you need an owner or admin login, or a Stats or Limited Stats one. Across the brand, you need an owner or admin login on the brand, or a Stats one. Promoter and door logins see none of them.
Still have a question?
Book a demo and we will answer it on a call, on your kind of event. Or create your account and see it for yourself.
No setup fees. No required monthly ticketing fee. No credit card required.
Related guides
Do this on your own event
Create your account, build your event and follow the steps in your own dashboard. You do not need to book a sales call.