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Understanding your event reports

Understand your event's buyer demographics

Promoters deciding who to market the next event to want more than a hunch about who bought the last one. The Demographics report shows your ticket buyers by gender, exact age, age band and profession, and the Devices report beside it shows what they bought on, so you can aim the next campaign at the people who buy and put it where they will read it.

Use your event's Demographics and Devices reports to compare age bands, gender breakdowns, jobs, employers and what buyers bought on, and understand what each figure counts.

For
Deciding who to market your next event to
Takes
6 minutes

Your Demographics page

Before you start

  • You're an owner or an admin on this event, or you have a Stats or Limited Stats login for it. All four roles can view the report.
  • Your event has sold tickets. Age data appears as soon as buyers provide dates of birth. Gender and profession data can take about 24 hours after the 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.

    Note: Undisclosed is buyers who did not say rather than a gap in your data, so compare the other two as shares of who answered. Events that collect gender at checkout instead show only Female and Male. A buyer who purchases two ticket types counts twice.

    The Gender Breakdown section, with the ring of ticket buyers and the three percentages beside it
    Demographics, Gender Breakdown.

  • Age Breakdown

    One column per year of age, from your youngest buyer to your oldest. Each column shows how many buyers were that age when they ordered. Hover over a column to see the age and the number of buyers.

    Note: Use the exact-age chart to spot separate peaks that broad age bands can hide. Separate peaks may be worth testing as different advertising audiences. 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
    Demographics, Age Breakdown.

  • Age Ranges

    Age Ranges groups the same buyers into six bands and shows the count and share for each. Above the chart, you can see Total Ticket buyers, the Highest Age Group and the Lowest Age Group.

    Note: The total here counts buyers who gave a date of birth, so it may be lower than your total ticket sales. 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
    Demographics, Age Ranges.

  • Professions

    Two tables: job titles on the left and employers on the right, each showing the number of buyers who provided that job title or employer. Copy table puts either one on your clipboard for a spreadsheet.

    Note: The three figures above the tables add up the counts in them. Job Titles counts buyers with a job title on file; it is not the number of different titles. The table folds two versions of the same job title into one row.

    The Professions section, with a table of job titles and a table of employers side by side
    Demographics, Professions.

  • Devices

    Open Devices, listed under Demographics in the same menu, for the same buyers counted by what they bought on: browser, device type, platform, brand and model.

    Note: The count is one per order that reached payment, so a buyer who ordered twice appears twice, and tickets your team issued are left out. Rows whose value was not recorded are dropped, so a list can come to less than Total Ticket Buyers. Include refunded and cancelled orders starts on, so the figures cover every completed order and not only the ones you kept the money from. A list that is mostly phones means your checkout is being finished on a phone, which is worth opening yourself on one.

    The Devices report, with the top browser, device type, platform, brand and model above the full browser breakdown
    The Devices report.

Or have it done for you

Ask Fai for the age figures and for what buyers bought on. Your own AI assistant reads the age figures through our MCP server. Review the Gender and Professions sections in the dashboard.

In your dashboard, with Fai

Look at the ages of the people who bought for this event and tell me which band bought the most, then tell me what they bought on, counting refunded and cancelled orders too

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 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

From your terminal

Install the CLI from our CLI page, sign in with ticketfairy auth login, and choose the brand you are working on with ticketfairy brand use <BRAND_ID>. ticketfairy brand list and ticketfairy event list show the IDs the other commands use.

You need an owner, admin, Stats or Limited Stats login. Use the CLI for age figures and for the Devices report, and review Gender and Professions in the dashboard.

The age bands shown in the dashboard

ticketfairy event stats <EVENT_ID> --metric demographics

The same figures, ready for a script

ticketfairy event stats <EVENT_ID> --metric demographics --output json

What buyers bought on, from the Devices report

ticketfairy event stats <EVENT_ID> --metric devices

Let Fai do it for you

Fai works inside your Ticket Fairy dashboard. Create your account, open Fai and paste the prompt above.

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No setup fees. No required monthly ticketing fee. No credit card required.

Questions you might have

Why are my demographics empty when I have sold tickets?
Age data appears as soon as a buyer provides a date of birth. Gender appears from checkout when your event collects it there. Otherwise, Gender and Professions normally appear within 24 hours of your first sales. Until then, the report says This report is not available yet. Please try again in 24 hours.
How do you calculate a buyer's age?
We calculate their age on the day they ordered, using the date of birth on their account, so each buyer counts at the age they were when they bought. Both age sections leave out buyers who did not provide a date of birth.
Why don't the demographic totals match each other?
Each section uses the details available for that buyer. Age needs a date of birth, while Gender and Professions come from a separate audience match that runs after the first sales, so you should not expect the three totals to match.
Do the demographics include free tickets and guest list?
Yes. A completed free or guest-list order counts when the buyer has provided a date of birth, so a comp counts like any other order. An unfinished payment plan does not count until its final instalment clears.
Can I get this out into a spreadsheet?
Copy table on either Professions table puts it on your clipboard, ready to paste. Ask Fai for the age figures or a plain-language summary of the gender split.

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.

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Related guides

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