Guest intelligence for venues and live events
Turn a ticketed night into an audience that comes back for the next one.
Start with purchase and marketing data already connected to AccessFuel. Add ticketing, entry, and on-site spend after the source and fields are confirmed during onboarding.
One guest view
Your systems know who came to one show. They cannot tell you who is worth programming for.
Your box office reports sales per event. Your bar and merch tills report a night's takings. Your email tool reports opens. The decision that connects them, who is a regular, who came once for one act, who is worth a presale, still gets assembled by hand the week a new show goes on sale.
From question to audience
An audience your team can inspect before it leaves AccessFuel.
Describe the guests in plain language. AIRA validates the criteria against your synced data and shows the guest count before your team saves anything.
- 01
Validate
Review the criteria and matched guest count.
- 02
Save
Save the audience or create a persona from the same group of guests.
- 03
Refresh
Re-run the saved audience after new bookings sync.
- 04
Activate
Put the audience to work in Klaviyo, Meta, or Google Ads, and let the results come back as evidence for the next on-sale.
Audiences grounded in bookings
Start with behavior you can prove.
With the required source fields connected, AIRA can build and validate these audiences. When campaign engagement data is also connected, the same reviewed audiences can support partner and sponsor reporting.
01
Regulars who have stopped booking
Guests who came three or more times last year and have not booked this one, flagged while a presale can still bring them back.
02
One-night visitors worth a second
Came once for a single act and never returned. What they booked and browsed shows which night to invite them back for.
03
Bar and merch high spenders
Guests whose on-site spend marks them out for hospitality, premium seats, or membership, even if they only ever buy standard tickets.
04
Presale list, ranked by who actually buys
So an on-sale reaches the guests most likely to convert instead of the whole database.
05
Post-event follow-up
Use a defined event window to find recent ticket buyers and export the reviewed audience for the next announcement.
Workflows & demos
Run it the way your team would ask for it.
The prompts venue and promoter teams run most, in plain language. Each one shows exactly what gets sent and what it leaves behind.
High-Value Guest Audience
The guests who spend, sized and reviewed before anything is saved.
- 01Translate the description
- 02Count matching customers
- 03Show the save card
- Any source connected
- Data access on
The prompt
Build a segment of guests who have spent over $500 on tickets and merchandise in the last twelve months and accept marketing. Show me how many match before I save it.
Run in AIRASegment preview — High-Value Guests (marketing-eligible)
I have built your segment from synced analytics data. Here is what matches before you save:
1,284 guests match all criteria
- Total spend
- at least $500 in the last 12 months (Aug 2025 to Aug 2026)
- Purchase scope
- Ticket and merchandise orders, refunds excluded
- Marketing consent
- Email marketing status is subscribed
Build a segment of guests who have spent over $500 on tickets and merchandise in the last twelve months and accept marketing. Show me how many match before I save it.
Lapsed Regular Win-Back
Repeat ticket buyers who stopped coming.
- 01Find lapsed repeat buyers
- 02Count the group
- 03Show the save card
- Shopify connected
- Data access on
The prompt
Find guests who booked two or more events but haven't bought a ticket in the last 90 days. Show me how big that group is and save it as a segment.
Run in AIRASegment preview — Lapsed Repeat Guests
I have built your segment from synced analytics data. Here is what matches:
968 guests match all criteria
- Attendance
- 2 or more events booked (lifetime)
- Lapse window
- No ticket purchase in the last 90 days
- Purchase scope
- Ticket orders only, comps and trade excluded
Find guests who booked two or more events but haven't bought a ticket in the last 90 days. Show me how big that group is and save it as a segment.
Where ticketing fits
Your ticketing data, connected when the path is confirmed.
On-sales, presales, single-event buys, and box office transactions can power guest audiences when the system provides the required fields. Access and coverage vary by ticketing platform.
Systems to scope
Ticketing systems
Ticketmaster, AXS, See Tickets, Eventbrite, DICE, and Spektrix are systems your venue may run, not native AccessFuel integrations. Confirm access and fields during onboarding.
Enterprise data path
Your ticketing and hospitality systems
Confirm the source and fields during onboarding before building ticket, seat, or membership audiences.
Built for multi-venue operators
One organization. Separate venue workspaces.
Keep each venue's guest data and programming context in its own workspace, then use a consistent audience workflow across the group.
Running a club or arena as well? See sports.
Isolated guest data
The box office knows who booked. The bar knows who spent. Marketing knows who opened. None of them know it is the same guest.
Venue-specific context
AIRA uses the right programming, campaigns, and history for each venue.
Repeatable workflow
Apply the same validate, save, refresh, and export process everywhere.
Start with the data you already hold