Fan intelligence for sports organizations
Turn connected fan interactions into an audience your front office can act on.
Start with purchase and marketing data already connected to AccessFuel. Add ticketing, gate, and concessions data after the source and fields are confirmed during onboarding.
Team Loyalist Jordan
Product
Premium merchandise
Purchase history
2+ orders and $300+
Recency
Last purchase 90+ days
Audience Validation
6,284 customers
Illustrative customer count
Build an audience of fans who bought premium team merchandise twice, spent over $300, and have not purchased in 90 days.
One fan view
Your systems show who bought a ticket. They do not tell you who is about to walk away.
Your ticketing platform reports renewals. Your POS reports concession sales. Your email tool reports opens. The decision that connects them, who is a real fan, who is a single-game tourist, who is about to lapse, still lives in a spreadsheet someone builds the week before a renewal push.
From question to audience
A segment your team can inspect before it leaves AccessFuel.
Describe the fan group in plain language. AIRA validates the criteria against your synced data and shows the fan count before your team saves anything.
- 01
Validate
Review the criteria and matched fan count.
- 02
Save
Save the audience or create a persona from the same fan group.
- 03
Refresh
Re-run the saved audience after new orders 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 campaign.
Audiences grounded in purchases
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 sponsor reporting.
01
Season ticket holders trending toward non-renewal
Flagged before the renewal window closes, not after.
02
Members ready to upgrade
Single-game buyers and partial-plan holders showing patterns that predict a full-season upgrade.
03
Concessions & merch super-fans
Fans whose in-venue spend signals they are ready for a membership or premium offer, even if they have never bought a season plan.
04
Lapsed walk-up fans
Attended multiple games on single-game or resale tickets, then went quiet. Worth a targeted win-back before next season.
05
Game-day follow-up
Use a defined event window to find recent buyers and export the reviewed audience for the next campaign.
Workflows & demos
Run it the way your team would ask for it.
The prompts sports teams run most, in plain language. Each one shows exactly what gets sent and what it leaves behind.
High-Value Fan Audience
The fans 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 fans who have spent over $500 on merchandise in the last twelve months and accept marketing. Show me how many match before I save it.
Run in AIRASegment preview — High-Value Merchandise Buyers (marketing-eligible)
I have built your segment from synced analytics data. Here is what matches before you save:
1,284 fans match all criteria
- Merchandise spend
- at least $500 in the last 12 months (Aug 2025 to Aug 2026)
- Product scope
- Merchandise and retail orders only, tickets and hospitality excluded
- Marketing consent
- Email marketing status is subscribed
Build a segment of fans who have spent over $500 on merchandise in the last twelve months and accept marketing. Show me how many match before I save it.
Lapsed Fan Win-Back
Season-ticket merch buyers who went quiet.
- 01Find lapsed repeat buyers
- 02Count the group
- 03Show the save card
- Shopify connected
- Data access on
The prompt
Find fans who bought merchandise twice or more but haven't purchased in the last 90 days. Show me how big that group is and save it as a segment.
Run in AIRASegment preview — Lapsing Repeat Merch Buyers
I have built your segment from synced analytics data. Here is what matches:
968 fans match all criteria
- Purchase frequency
- 2 or more merchandise orders (lifetime)
- Lapse window
- No purchase in the last 90 days (before May 14, 2026)
- Product scope
- Merchandise and retail orders only, tickets and hospitality excluded
Find fans who bought merchandise twice or more but haven't purchased 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.
Season plans, single-game buys, renewals, and box office transactions can power fan audiences when the system provides the required fields. Access and coverage vary by ticketing platform.
Systems to scope
Ticketing systems
Ticketmaster and Archtics, Paciolan, SeatGeek, and AXS are systems your front office 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 renewal audiences.
Built for multi-team organizations
One organization. Separate team workspaces.
Keep each team's fan data and business context in its own workspace, then use a consistent audience workflow across the organization.
Deploying this for venues and clubs you serve? See partners & integrators.
Isolated fan data
Ticketing knows who bought. Concessions knows who spent. Marketing knows who opened. None of them know it is the same fan.
Team-specific context
AIRA uses the right products, campaigns, and history for each team.
Repeatable workflow
Apply the same validate, save, refresh, and export process everywhere.
Start with the data you already hold