The Greenville Triumph audience
Two seasons of ticket buyers, built from the Master Ledger: how many there are, how few of them carry the club, who they are, and, for the first time, how many actually walked through the gate. Section 15 explains exactly how every number is derived.What the data says, in six lines.
The whole dashboard distilled: who the audience is, where they are, what they do, and where the growth is. Every number here is computed from the same buyer records the sections below break down.
A small core carries almost all of it.
Two seasons of ticket revenue show where the club's income actually comes from: a committed season-ticket core. The thousands of other buyers add real reach, but very little revenue. The chart ranks every buyer by lifetime spend and shows what share of revenue each tenth of the base contributes.
Share of ticket revenue by buyer decile
each bar is 10% of buyers, ranked by lifetime spendThe profile of a Triumph fan.
The fan base in aggregate, joined to US Census demographics by home ZIP. These describe the buyer's neighborhood, not the buyer personally. Responds to the Segment filter above.
Household income
Households with kids
Owner-occupied homes
Who makes up the audience.
The fan base divided into four engagement tiers, computed once across both seasons so every buyer sits in exactly one. Each card profiles that group, including the share that actually showed up at a gate-scanned 2026 match.
Who walks through the gate.
New this season: gate scans. Every approved check-in is one body through the turnstile, matched back to the buyer on the scanned ticket. For the first time we can separate who bought from who showed up. Scanning began in 2026, so this section covers 2026 home matches only. Responds to the Segment filter above.
Show rate by segment
attended 1+ scanned matchShow rate by distance
home ZIP to nearest venueReal attendance, match by match
distinct tickets scanned inMatches per attendee
The Triumph trade area.
ZIP-level concentration across the Upstate: the footprint a regional sponsor would be paying to reach. Responds to the Segment filter above.
Distance to closest venue
The path to the ticket.
Where the audience buys, what they buy, when they first arrived, and which affiliation codes bring them in. A whole-base view; it does not respond to the segment filter.
What they buy
paid tickets by product typeWhere they buy
paid tickets by sales channelWhen buyers first arrived
first-ever Triumph purchase, by month · green = 2026When they buy
first purchase by day of weekCommitment signals
deposit plans, pre-season, renewal windowEvery home match, both seasons.
The full ticket picture for every home match: single-match sales, season-ticket admissions, comps, total tickets distributed, real gate attendance, and face revenue. 2026 figures come straight from the club's Master Report (report.greenvilletriumph.club), so they tie out to the CFO/GM numbers to the seat — every season-ticket holder is counted at each match their plan covers. "Distributed" is every ticket in hand (single + season + comp); "scanned in" is the true gate crowd. Per-match season attribution began in 2026, so 2025 shows single-match and comp only. Click any column header to sort.
Single-match tickets sold
green = 2026Lead time to kickoff
when tickets sell · Saturday vs midweekTwo seasons side by side.
The move to the new home at GE Vernova Park, shown as two separate pictures. Greenville Triumph adopted Vivenu partway through 2025, so the two years are not a clean before-and-after; the callout explains where they can and cannot be compared.
Five fans the club actually has.
Not invented archetypes. Each persona is a rule over the real buyer rows, with its real size and stats. The count under each name is exactly how many buyers match that rule today.
How much of last year came back.
Where the 2025 base went, how season-ticket renewal held up, and how dependent 2026 is on brand-new buyers. The single most important number for planning next season's spend.
Where the 2025 base went
of everyone active in 2025Return rate by 2025 attendance depth
deeper 2025 engagement predicts returnThe people to re-engage first.
Lapsed buyers, ranked by how worth a personal touch they are. All of them have an email on file and a known prior spend. Work the top rows before any generic blast; the value is concentrated.
Paid, but slipping away.
Buyers who spent this season but are not showing up, plus the one-and-done pattern that quietly caps repeat attendance. These are churn-risk lists to work while the season is still live, not at renewal.
No-show rate by segment
held a 2026 ticket, never scanned inAttendance depth
of the 7 gate-scanned 2026 matchesWho is ready for a season pass.
The single-match and repeat buyers whose behavior already looks like a season-ticket holder. Attendance depth is the strongest conversion signal: the more matches a fan came to, the more likely they convert.
Conversion to season ticket by 2025 attendance
2025 single-match buyers who became 2026 STHPrime 2027 prospects
individual non-STH, by 2026 matches attendedThe few who carry the revenue.
Recency, frequency, and spend combined into value tiers, plus the premium and super-fan segments. This is the short list that deserves a different, higher-touch cadence than the rest of the base.
Value tiers
recency + frequency + spendExactly how every number is derived.
This dashboard is an extrapolation: it turns raw ticket orders into a description of an audience. Here is the full chain, end to end, with every assumption and known limit.