How to Find Your Club's Average Order Value (AOV) in IZI
Average order value (AOV) is the foundation metric for any revenue growth playbook. Without a reliable AOV number you cannot build a proper top-up bonus ladder, set meaningful promotion thresholds, or measure whether a campaign actually moved the needle. In practical terms it tells you two things at once: how much a typical session is worth to your business, and where to set the first tier of any incentive so it feels achievable to players without giving margin away.
Here is how to measure it in 3 minutes inside IZI CRM.
Step 1 — Open Club Analytics
Section titled “Step 1 — Open Club Analytics”In the sidebar, select your club → Analytics.
CRM path: Analytics → Sessions tab.
Step 2 — Set the Time Period
Section titled “Step 2 — Set the Time Period”Set the date filter to the last 30 days. This is the optimal window: shorter periods add noise from random outliers, longer periods lose seasonal relevance (seasonal shifts skew the picture).
Use the built-in date range selector at the top of the page to compare periods side by side.
Step 3 — Find the AOV Card
Section titled “Step 3 — Find the AOV Card”At the top of the Sessions dashboard you will see a row of KPI cards. Find “Average check” — this is your AOV for the selected period.
The number shows: average spend per visit — gaming time plus bar orders if the client placed any.
Step 4 — Remove Outliers
Section titled “Step 4 — Remove Outliers”Raw AOV can be inflated by atypical transactions:
- Team bookings — one transaction covering 10–20 seats
- Tournament packages — large one-off purchases for a single event
- Corporate sessions — group bookings for company events
How to clean: in the tariff filter, deselect tariffs such as “Team”, “Tournament”, “Event”. The recalculated number is your baseline AOV for regular players.
Rule of thumb: any single transaction that is 8× or more above the median is an outlier — exclude it from the calculation.
Step 5 — Record Your Baseline
Section titled “Step 5 — Record Your Baseline”Write it down. This is your reference point for:
- Building a top-up bonus ladder — tier 1 = AOV × 1.3, tier 2 = AOV × 2.5
- Evaluating bar share in total revenue
- Calculating bar margin
When to Recalculate
Section titled “When to Recalculate”Measure once a month. If AOV increases by 15%+ or drops by 10%+, revisit thresholds in your promotions and bonus rules. IZI does not automatically recalculate bonus rules when AOV shifts — that is a manual update in the CRM.
How AOV Compares to Other Metrics
Section titled “How AOV Compares to Other Metrics”| Metric | What it measures | Where to find it |
|---|---|---|
| AOV | Average spend per visit | Analytics → Sessions |
| Average top-up | Average amount added in a single balance top-up | Analytics → Top-up Bonuses |
| ARPU | Revenue per active client over a period | Analytics → Clients |
Where do I find AOV in IZI? Analytics → Sessions tab → “Average check” KPI card. Use a 30-day period for your baseline.
What is the difference between AOV and average top-up? AOV is spend per visit. Average top-up is the amount added per balance top-up. A client can top up 400 once a week and spend 100 per session — two different numbers.
Which time period should I use for baseline AOV? 30 days is optimal. Shorter adds noise from random outliers. Longer loses seasonal relevance.
How do I remove outliers from AOV? Filter out team bookings and tournament packages in the tariff filter. Any single transaction 8× or more above the median is an outlier — remove it from the calculation. In IZI, filter by tariff type to exclude these.
Do I need baseline AOV if my club just opened? For the first two weeks use the median, not the mean — early outliers are especially heavy at launch. Recalculate after 30 days of normal operation.
See Also
Section titled “See Also”Frequently asked questions
Where do I find AOV in IZI?
Analytics → Sessions tab → AOV card at the top. Use a 30-day period for your baseline.
What is the difference between AOV and average top-up?
AOV is how much a client spends per visit (gaming time + bar). Average top-up is how much they add to their balance in a single top-up. A client might top up 400 once a week and spend 100 per session — two different numbers.
Which time period should I use for baseline AOV?
30 days is optimal. Shorter adds too much noise from random outliers. Longer loses seasonal relevance.
How do I remove outliers from AOV?
Filter out team bookings and tournament packages in the tariff filter. Any single transaction 8× or more above the median is an outlier.
Do I need baseline AOV if my club just opened?
For the first two weeks use the median, not the mean — early outliers are heavy. Recalculate after 30 days.