Period Analytics: Daily and Shift Views

Period Analytics: Daily and Shift Views

Period Analytics is the page under Analytics → Overview → Period Analytics that gives you every key metric for a single day or a single shift in one screen. It is the primary tool for operational monitoring: yesterday’s results, a problematic shift, or a specific time window — all without jumping between reports.

The page offers two views, selectable at the top:

• 24h Analytics — a snapshot for a specific calendar day, with optional time-range filter and a comparison date delta.
• Shift Analytics — a snapshot for one closed cashier shift chosen from the shift picker. No comparison delta is shown.

The toggle between views is visible only if your role has both club.analytics.daily and club.analytics.shifts permissions. If you have only one, the page opens directly in the available view.

24h Analytics view

Where: Period Analytics → 24h Analytics (active by default).

When to use: morning review of the previous day, real-time monitoring of the current day, or drilling into a specific time window.

Choosing the period

The page header has two date fields:

Field	Purpose
Current date	The day the report covers. Defaults to today.
Compare date	The baseline for deltas. Defaults to the same day one month earlier.

Below the date fields is the time-range filter. Click it to restrict the report to a specific interval — for example, the evening peak from 18:00 to 23:00. Defaults to the full day.

Metrics

The page is structured into four sections.

Key Metrics — first row:

Metric	What it counts
Cash Revenue	Balance top-ups minus withdrawals for the selected day
Accrual Revenue	Balance charges minus refunds for the selected day
Tariff Sales	Gaming time revenue, including the tariff portions of combos
Bar Sales	Bar order revenue, including the bar portions of combos
Combo Sales (informational)	Total combo revenue; already included in Tariff Sales and Bar Sales — shown for reference only, does not add to the total

Key Metrics — second row:

Metric	What it counts
Sessions	Gaming sessions started during the day
Orders	Bar orders placed during the day
Cancelled Orders	Bar orders cancelled during the day
Play Time	Total duration of all sessions (rounded to whole minutes)
Write-offs	Number of stock items written off during the day

Clients:

Metric	What it counts
Total Clients	Unique players with at least one session during the day
New Clients	Players registered at the club for the first time in the selected period
Returning Clients	Players registered before the selected day
Registered Clients	Players with a linked phone number
Unregistered Clients	Anonymous guests without a linked phone number

Payment Methods:

Metric	What it counts
Balance Deposits	All top-ups by all methods
Cash	Cash top-ups at the front desk
Card / Terminal	POS terminal top-ups
Online Payment	Top-ups via the app or online acquiring

KPIs:

Metric	What it counts
Average Check	Average amount per balance purchase
ARPU (Cash Method)	Top-ups minus withdrawals ÷ unique clients who topped up or received a withdrawal
ARPU (Accrual Method)	Charges minus refunds ÷ unique clients who had a charge or refund

Revenue by Hour chart

Below the KPIs is the Revenue by Hour bar chart — an hourly breakdown showing Cash Revenue and Accrual Revenue as two series. The export button in the chart header downloads a CSV with the hourly data.

Shift Analytics view

Where: Period Analytics → Shift Analytics.

When to use: reviewing a specific shift — how much the club earned, how many clients were served, what the bar share was. Useful for reconciling figures with a specific administrator.

Choosing a shift

Instead of a date picker, the view shows a shift picker listing only closed cashier shifts. The currently open shift is not available. If there are no closed shifts, the page shows “No closed shifts”.

Metrics

The metric set is identical to the 24h view — the same four sections with the same cards. The only difference is that comparison deltas are not shown: a shift has no “equivalent previous shift”, so cards display absolute values only without trend indicators.

The Revenue by Hour chart is also available in the shift view.

How to read the report: step-by-step

Morning review (3–5 minutes):

1. Open Analytics → Period Analytics. Confirm yesterday’s date is selected.
2. Check Cash Revenue and its delta. A deviation beyond −15% is a trigger for investigation.
3. Check Sessions: did traffic drop, or did revenue per session fall? Sessions normal, revenue down → look at Average Check and Tariff Sales.
4. Check Bar Sales: if it is below the typical level with normal traffic, that is a signal to address with staff.
5. Switch to the Revenue by Hour chart: was there a dip in hours that normally perform well?

Reviewing a specific shift:

1. Switch the view to Shift Analytics.
2. Choose the shift in the picker.
3. Compare Cash Revenue and Sessions against expectations for that time of day.
4. For a breakdown by specific administrator, go to Administrators.

Building a personal daily baseline

There is no universal “normal” daily revenue — it depends on your seat count, tariff matrix, and day of week. A practical formula:

Monday baseline = (sum of all Mondays over the last 4 weeks) ÷ 4

IZI shows the delta against the comparison date directly in the metric cards — a ready-made version of this logic. To set a specific baseline, enter that date in the Compare date field.

Related sections

• Key Metrics (KPI) — aggregated club overview for any date range
• Hall Utilization Report — heatmap and hourly occupancy percentage
• Compare Periods — any two date ranges side by side
• ARPU Tracking — average revenue per client and its link to daily data
• Administrators — metric breakdown by staff member for a shift
• Bonus Balance — how bonuses are credited and charged
• Tariff — pricing structure used in sessions