# See who buys your tickets in your event demographics | Ticket Fairy Guides 1. [Ticket Fairy](https://www.ticketfairy.com/) 2. [Guides](https://www.ticketfairy.com/guides) 3. See who buys your tickets in your event demographics Reading your event reports # See who buys your tickets in your event demographics Every section of your event's Demographics screen: who bought, how old they were on the day, what they do for a living, and what each figure is counting. For: Anyone planning who to sell the next event to Takes: 6 minutes Checked against the dashboard: 25 August 2026 ## Your Demographics screen - [Gender Breakdown](#step-1) - [Age Breakdown](#step-2) - [Age Ranges](#step-3) - [Professions](#step-4) ### Before you start - You can see this event's statistics as an owner, an admin or a **Stats** login. A **Limited Stats** login is offered the screen and cannot load it, so ask for **Stats** if that is you. - Your event has sold tickets. Ages come from the orders themselves, and the other two sections come from an audience report that is built after your first sales rather than as they happen. - ### Gender Breakdown Open your event and go to **Demographics**. The ring counts ticket buyers, split into **Female**, **Male** and **Undisclosed**, with the same three as a percentage down the left. **Undisclosed** is buyers who did not say rather than a gap in your data, so read the other two as shares of who answered. Events that collect gender at checkout instead show only Female and Male. Either way the ring counts ticket lines, so one person buying two ticket types counts twice. ![The Gender Breakdown section, with the ring of ticket buyers and the three percentages beside it](https://www.ticketfairy.com/embeds/posters/marketing-demographics--gender-split.png) Demographics, Gender Breakdown. - ### Age Breakdown One column per year of age, from your youngest buyer to your oldest. The height is how many bought at that exact age, and resting on a column names both. This is the section that finds the shape a band of ranges hides. Two peaks a decade apart is two audiences buying the same event, and it is worth a second ad set rather than one aimed between them. Both age sections count ticket lines, so one person buying two ticket types counts twice. ![The Age Breakdown chart, one column for each year of age with the number of buyers at that age](https://www.ticketfairy.com/embeds/posters/marketing-demographics--age-by-year.png) Demographics, Age Breakdown. - ### Age Ranges The same buyers in six bands, as a count and a share each. Above them, **Total Ticket buyers**, the **Highest Age Group** and the **Lowest Age Group**. The total here counts buyers who gave a date of birth, so it sits below your ticket sales rather than matching them. Compare the bands with each other rather than against the number of tickets you sold. ![The Age Ranges section, with buyers in six age bands and the highest and lowest band named above](https://www.ticketfairy.com/embeds/posters/marketing-demographics--age-bands.png) Demographics, Age Ranges. - ### Professions Two tables: job titles on the left, employers on the right, each with how many of your buyers gave it. **Copy table** puts either one on your clipboard for a spreadsheet. The three figures above the tables add up the counts in them, so **Job Titles** is buyers with a title on file rather than how many different titles there are. The same job written two ways is folded into one row. ![The Professions section, with a table of job titles and a table of employers side by side](https://www.ticketfairy.com/embeds/posters/marketing-demographics--jobs-and-employers.png) Demographics, Professions. ## Or have it done for you Fai, the assistant inside your dashboard, reads the ages on this screen, and so does your own AI assistant through our MCP server: both are read-only here and change nothing. Neither reads the gender ring yet, so ask for the age sections and read that one on the screen. ### In your dashboard, with Fai Look at the ages of the people who bought for this event. Which band bought the most, and how does that compare with the last event I ran? ### From your own assistant, over MCP Connect your assistant to [our MCP server](https://www.ticketfairy.com/mcp-server) and ask it: The read-only setup on that page is all this needs. Nothing here changes anything, so leave `--read-only` where it is. Find my event by name, then pull its age demographics and tell me the age band that bought the most and how many buyers gave a date of birth at all. ## What people ask next Why is this screen empty when I have sold tickets?: Professions, and Gender unless your event collects it at checkout, come from an audience report built after your first sales, so a brand-new on-sale answers **This report is not available yet. Please try again in 24 hours**. Ages come straight from the orders, as soon as a buyer has given a date of birth. How is my buyers' age worked out?: From the date of birth on their account against the day they ordered, so a buyer is counted at the age they were when they bought. Buyers who never gave one are left out of both age sections. Why don't the totals on this screen match each other?: They count different people. The age sections count buyers with a date of birth, and Gender and Professions count the buyers your audience report matched, so the three rarely land on the same number. Does this screen include free tickets and guest list?: Yes. The ages are taken from paid orders whatever they cost, so a comp with a date of birth on the account counts like any other. A payment plan still running does not, and joins once its last instalment clears. Can I get this out into a spreadsheet?: **Copy table** on either Professions table puts it on your clipboard, ready to paste. The charts above have no export of their own: ask Fai for the age figures, and read the gender ring off the screen. ## Where to go from here - [See what else this part of Ticket Fairy does](https://www.ticketfairy.com/event-ticketing/features) - [See which fans sell the most tickets for your event](https://www.ticketfairy.com/guides/read-your-referral-results) - [Every Ticket Fairy guide](https://www.ticketfairy.com/guides) ## Do this on your own event Create an account, build the event, and work through this page beside it. Nothing here needs a sales call first. [Create a free account](https://manage.ticketfairy.com/welcome) [Book a demo](https://www.ticketfairy.com/event-ticketing/book-a-demo) --- This page is on Ticket Fairy, a ticketing, marketing and operations platform for live events and the venues that host them: festivals, club nights, concerts, conferences and tours, and night clubs, beach clubs and concert venues. It grows revenue with fan rewards that turn an audience into a sales channel, and runs the money side with payments and payouts, Vault business banking, and working capital advanced against ticket sales. [How Ticket Fairy ticketing works](https://www.ticketfairy.com/event-ticketing) ยท [Ticket Fairy for AI assistants](https://www.ticketfairy.com/llms.txt)