AOV in a Gaming Club — Average Order Value

AOV (Average Order Value) is the average amount a player spends per club visit — game time, bar purchases, and merchandise combined. It is the per-visit revenue metric, and together with sessions per player, it determines ARPU: ARPU = AOV × sessions per player.

What It Means in Simple Terms

A player comes in, starts a session, buys a drink and a snack, and leaves. The total they spent at the cashier for that visit is their per-visit spend. Average that across all completed sessions for the month — you get the club’s AOV.

AOV answers: “How much does one visit to the club bring on average?” It is not to be confused with:

• Average top-up — the amount of a single balance recharge, which may or may not be spent in the same visit
• ARPU — average revenue per active player per period, calculated per player over a month, not per individual visit

AOV is moved upward through upsells at the cashier, bar sales, longer session packages, and multipass programs. It is the most directly actionable of the three headline metrics because it responds to cashier behaviour and catalog design within days, not months.

Formula

AOV = total revenue for period ÷ completed sessions for period

Where:

• revenue — all cashier charges for the period (game time + bar + merch), net of refunds
• sessions — completed sessions for the same period, not unique players

Use accrual revenue for AOV, not cash collected. Accrual revenue ties to service consumption rather than the moment of payment — a player who tops up 200 and uses 80 this visit contributes 80 to AOV this period, not 200. IZI shows accrual revenue as a separate line in the shift dashboard and in Analytics.

How to Track in IZI

Analytics → Club Dashboard. The period defaults to the current month and is adjustable to any range. To see AOV by player segment — newcomers versus regulars versus dormant players — use the client group filter in the same view.

Tracking AOV alongside session count avoids a common misreading: if revenue rises but sessions rise faster, AOV is actually falling even though total revenue looks healthy. The reverse is also true — if sessions drop but revenue holds, AOV is rising, which is a sign that the remaining active players are spending more per visit.

Typical Ranges and Interpretation

AOV state	What it means
AOV ≈ price of 1 hour	Players come for exactly one hour, no add-on sales
AOV ≈ 1.5–2× hourly price	Basic add-on selling works — bar or back-to-back hours
AOV ≈ 3× and above	Strong upsell: multipass, bundles, or long sessions
AOV falling 2–3 months in a row	Client mix changed, catalog changed, or upsell has stopped

Always compare AOV against your own historical baseline rather than external benchmarks. A club in a budget market will have a structurally lower AOV than one in a premium location — the absolute number matters less than the trend.

What Moves AOV Up

At the cashier:

• Suggesting a longer session block at open (“the 3-hour rate works out cheaper per hour”)
• Offering a bar item at session start rather than waiting for the player to ask
• Presenting the premium zone or a better seat as an upgrade option

In the catalog:

• Multipass packages increase per-transaction value because the player pays for multiple hours at once
• Bundle offers (game time + food + drink at a combined price) raise the session ticket without feeling like a price increase
• Top-up bonus encourages larger top-up amounts, which correlates with higher per-visit spend since players with more balance tend to stay longer

In pricing design:

• Longer-session tariffs priced with a per-hour discount naturally pull players toward longer stays
• Zone pricing that puts the best hardware in a higher-priced tier captures willingness-to-pay from enthusiasts

AOV and Hall Utilization

AOV and utilization measure different things and can move independently. A club can have high utilization with low AOV — the seats are full but players are not spending much per visit. Or it can have high AOV with low utilization — each player who comes in spends well, but not enough players are coming.

The combined target is high utilization and high AOV simultaneously, which produces maximum revenue from the available seat-hours. Achieving both requires separate interventions: utilization is driven by scheduling, tariff design, and acquisition; AOV is driven by upsell process, catalog, and bar integration.

Related Terms

• ARPU — revenue per player per period; equals AOV × sessions per player
• Sessions per player — visit frequency; the other multiplier in the ARPU formula
• LTV — lifetime value; AOV is a key input alongside frequency and tenure
• Multipass — package tariff that raises AOV by bundling multiple hours
• Accrual revenue — the correct revenue base for AOV calculation
• Hall utilization — seat occupancy metric that pairs with AOV to determine total revenue