Gaming Club Network Dashboard in IZI
Gaming Club Network Dashboard in IZI
Section titled “Gaming Club Network Dashboard in IZI”The aggregate network dashboard is the primary management tool for a multi-club owner. The dashboard’s job: answer the question “is everything OK at each club and where are there anomalies” in 5–10 minutes, without drilling into each location individually.
Two Analytics Levels
Section titled “Two Analytics Levels”Organisation level — aggregate data for the whole network: total revenue, total traffic, overall client base. Gives the big picture.
Club level — detailed data for a specific club: hourly utilisation, AOV, detailed rate breakdown, bonus analytics. Provides the detail needed for decisions.
Effective workflow: view aggregate level → spot an anomaly → drill into the specific club for diagnosis.
Key Aggregate Dashboard Metrics
Section titled “Key Aggregate Dashboard Metrics”Revenue by Club
Section titled “Revenue by Club”What to look at: each club’s revenue for the period, trend vs previous period.
How to interpret:
- Club A: +12% vs last week → normal or growth
- Club B: -18% vs last week → anomaly, needs diagnosis
- Club C: stable, no change → stagnation, growth potential not realised
More on club comparison → Comparing Network Clubs by Metrics.
Hourly Utilisation
Section titled “Hourly Utilisation”What to look at: utilisation heatmap for each club, pattern comparison.
How to interpret: if club A has 45% daytime utilisation but club B has 15% in a similar-area location — this is a signal to either study what club A does (better off-peak marketing?) or launch a daytime bonus at club B.
Average Order Value (AOV)
Section titled “Average Order Value (AOV)”What to look at: each club’s AOV, trend over the past 4 weeks.
Signals: AOV dropped → issue with loyalty programme or rates. AOV grew → programme is working, can replicate to other clubs.
New Clients and D30 Retention
Section titled “New Clients and D30 Retention”What to look at: how many new clients came to each club in the period, what % returned within 30 days.
Signals: high new client intake + low retention → club acquires but doesn’t retain. Low intake + high retention → good base, needs marketing for growth.
Weekly Dashboard Workflow
Section titled “Weekly Dashboard Workflow”Daily (5 minutes):
- Yesterday’s revenue per club
- Flags: any club with an anomalous drop (>20% vs same day last week)
- Technical incidents from manager reports
Weekly (20–30 minutes):
- Week’s revenue by club vs previous week
- Hourly and day-of-week utilisation breakdown — new patterns
- AOV trend
- New clients and early retention signals
Monthly (1–2 hours):
- D30 retention by cohort
- Churn and reactivation
- AOV 3-month trend
- All-club comparison on key metrics — who is an outlier in both good and bad directions, and why
Reading Dashboard Signals
Section titled “Reading Dashboard Signals”Signal: one club significantly underperforms on revenue
Section titled “Signal: one club significantly underperforms on revenue”Diagnosis: first rule out external causes (nearby construction, competitor opened, location-specific seasonality). If no external causes — compare hourly utilisation, AOV, new clients. The problem is usually in one of the three.
Signal: all clubs declining simultaneously
Section titled “Signal: all clubs declining simultaneously”This is seasonality or an external factor (school holidays, public holidays, general economic slowdown). Tool: seasonal promotions, special events. Methodology → Seasonal Promotions for Clubs.
Signal: one club significantly outperforms the rest
Section titled “Signal: one club significantly outperforms the rest”This is your best practices laboratory. Study what that club does differently: which Automations are active, how the admin operates, what programme they’re running. Replicate to others.
Export and Custom Reports
Section titled “Export and Custom Reports”For deeper analysis, export data from IZI to CSV/Excel. This allows:
- Building cross-club pivot tables
- Comparing client cohorts between clubs
- Building forecast models from historical data
Related: Comparing Clubs by Metrics · Switching Between Clubs · How to Scale to a Second Location
Frequently asked questions
How do you view aggregate analytics for all network clubs?
In IZI CRM, select the organisation level (not a specific club) in the left panel. The Analytics section shows aggregate data for the whole network: total revenue, total traffic, overall client base.
Can you compare two network clubs on one screen?
Switch between clubs via the left panel — period filters are preserved, enabling quick comparison of the same period across two clubs. For a single combined view, use data export and a pivot table outside IZI.
Which metrics matter most to track for a network?
For a network owner, key metrics are: revenue per club (absolute and comparative), hourly utilisation (reveals off-peak patterns), AOV, D30 newcomer retention, new clients. Comparing these between clubs identifies outliers and growth points.
How often should you check the aggregate dashboard?
Operational metrics (revenue, utilisation) — daily for each club, 5 minutes. Weekly comparative metrics review — 20–30 minutes. Monthly deep analysis (retention, churn, AOV trend) — 1–2 hours.
Does organisation-level analytics automatically include all clubs' data?
Yes. When viewing analytics at the organisation level, data from all clubs is included automatically. A new club added to the organisation immediately appears in aggregate analytics.