# See who buys your tickets in your event demographics | Guides Ticket Fairy

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# 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.

Pour:  Anyone planning who to sell the next event to

Durée:  6 minutes

## Votre écran Demographics

- [Gender Breakdown](#step-1)
- [Age Breakdown](#step-2)
- [Age Ranges](#step-3)
- [Professions](#step-4)

## Ce dont vous avez besoin avant de commencer

- You're an owner or an admin on this event, or you have a **Stats** or **Limited Stats** login for it. All four see the same sections.
- Your event has sold tickets. Ages come straight from the orders, and the other two sections fill in about a day after your first sales.

- ## 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.

  A band of ranges hides what this section shows. Two peaks a decade apart are two audiences buying the same event, and each is worth its own 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 table folds the same job written two ways 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.

## Ou faites-le faire pour vous

Fai, the assistant inside your dashboard, reads the ages on this screen, and so does your own AI assistant through our MCP server. Neither reads the gender ring yet, so ask for the age sections and read that one on the screen.

### Dans votre tableau de bord, avec 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?

### Depuis votre propre assistant, via MCP

Connectez votre assistant à [notre serveur MCP](https://www.ticketfairy.com/mcp-server) et demandez-lui :

La configuration en lecture seule de cette page suffit. Rien ici ne change quoi que ce soit, alors laissez `--read-only` tel quel.

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.

## Depuis votre terminal

Installez la CLI depuis [notre page CLI](https://www.ticketfairy.com/cli), connectez-vous avec `ticketfairy auth login`, puis choisissez la marque sur laquelle vous travaillez avec `ticketfairy brand use <BRAND_ID>`. `ticketfairy brand list` et `ticketfairy event list` affichent les ids attendus par les commandes ci-dessous.

You need an owner, admin, **Stats** or **Limited Stats** login. The CLI reads the same ages as this screen. It doesn't read the gender ring or the professions tables, so read those two on the screen.

### The age bands, as they are on the screen

ticketfairy event stats \<EVENT\_ID\> --metric demographics

### The same figures, ready for a script

ticketfairy event stats \<EVENT\_ID\> --metric demographics --output json

## Questions que vous pourriez avoir

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 each buyer counts at the age they were when they bought. Both age sections leave out the buyers who never gave one.

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. Both age sections read 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.

## Où aller ensuite

- [Ce que vous pouvez faire d’autre avec Ticket Fairy](https://www.ticketfairy.com/fr/event-ticketing/features)
- [See which fans sell the most tickets for your event](https://www.ticketfairy.com/fr/guides/read-your-referral-results)
- [See which promotion sold your tickets](https://www.ticketfairy.com/fr/guides/track-which-promotion-sold-your-tickets)
- [See where your event page visitors came from](https://www.ticketfairy.com/fr/guides/see-where-buyers-came-from)
- [See which buyers come back to your events](https://www.ticketfairy.com/fr/guides/browse-your-customer-list)
- [Tous les guides Ticket Fairy](https://www.ticketfairy.com/fr/guides)

## Faites-le sur votre propre événement

Créez votre compte, montez votre événement et suivez ces étapes dans votre propre tableau de bord. Sans appel commercial préalable.

  [Créer un compte gratuit](https://manage.ticketfairy.com/welcome) [Réserver une démo](https://www.ticketfairy.com/fr/event-ticketing/book-a-demo)