How to Read the Analytics Section in IZI

How to Read the Analytics Section in a Gaming Club

The Analytics section in IZI CRM is your daily health check for the club. It is split into four blocks — Key Metrics, Clients, Payment Methods, and KPI — each giving you a slice of data for a chosen day with a side-by-side comparison to any other date.

Understanding exactly what each figure counts lets you act on facts rather than gut feeling. Revenue in IZI is tracked two ways simultaneously: cash revenue measures money flowing into the club (top-ups minus withdrawals), while accrual revenue measures money being consumed (charges minus refunds). These two numbers move independently, and the gap between them tells you whether players are accumulating unspent balance or depleting it. When revenue dips, you cross-reference sessions and device utilization to separate a demand problem from an operational one. When cash top-ups consistently outpace spending charges, players are stockpiling balance — that is a prompt to run a re-engagement campaign rather than celebrate incoming cash. When utilization falls below 30% during your core hours, pricing or scheduling needs attention before anything else. Every metric in Analytics is designed to point toward a specific lever you can pull, so the faster you learn to read them together, the faster the club responds to real conditions on the floor.

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How to open Analytics

1. In the CRM sidebar, select the club you want to inspect.
2. Go to Analytics → Daily.
3. In the top-right corner you will see two date fields: Current Date and Comparison Date. By default the comparison is set to exactly one month prior.
4. Optionally narrow the view with a time-of-day filter — useful for comparing morning load versus evening peak separately.

Every metric recalculates instantly when you change either date. Next to each number IZI shows a △ (delta) — the absolute and/or percentage change versus the comparison date.

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Block: Key Metrics

This is the first screen you see. It concentrates the financial and operational numbers for the day.

Revenue

IZI measures revenue two ways. Both are correct — they answer different questions.

Metric	Formula	When to use it
Cash revenue	Top-ups − Withdrawals (TOP_UP − WITHDRAW)	Real money received by the club today
Accrual revenue	Charges − Refunds (CHARGE − REFUND)	How much players actually spent on sessions and goods

Cash revenue rises when players add funds to their accounts. Accrual revenue rises when they spend those funds. If cash revenue is significantly higher than accrual revenue, players are accumulating unspent balance — a good moment to launch promotions that bring them back in (see loyalty top-up bonus setup).

For a deeper explanation of the two accounting methods, see the glossary entry on accrual revenue.

Sales and activity

Metric	What it counts
Sessions	Number of gaming sessions started during the day
Play time	Total duration of all sessions from start to finish
Tariff sales	Total charged for gaming tariffs
Bar sales	Total paid for bar items
Combo sales	Total paid for combo packages
Orders	Number of bar orders placed
Cancelled orders	Number of orders that were cancelled
Write-offs	Number of stock items removed from inventory during the day

The ratio of Orders to Cancelled orders is a proxy for bar quality: a high cancellation rate usually points to out-of-stock items or misconfigured menu entries.

Average check and ARPU

Average check is the mean amount of a single CHARGE transaction — what a player spends per purchase on average.

ARPU (average revenue per user) is calculated in two parallel ways:

• Cash ARPU = Cash revenue / unique clients with top-up or withdrawal transactions
• Accrual ARPU = Accrual revenue / unique clients with charge or refund transactions

If average check rises while ARPU falls, more players are visiting but each spends less per session. If the opposite is true, the active base is shrinking but loyal players are spending more per head.

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Block: Clients

This block shows who came in today and how the club performs on acquisition versus retention.

Metric	Formula / Definition
Total clients	Unique players who had at least one session
New clients	Registered at the club for the first time in the selected period
Returning clients	Already registered before the period started
Registered	Players with a linked phone number
Unregistered	Anonymous players without a phone number

The share of Unregistered players represents untapped loyalty potential. Once a phone number is attached, those players enter your loyalty program and can be reached through automated campaigns. Track this metric week over week — a rising unregistered share often signals a front-desk process gap.

For deeper client behavior analysis, see the clients report.

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Block: Payment Methods

This block shows how balance top-ups were distributed across channels for the day.

Metric	What it is
Total top-ups	Combined value of all balance top-ups
Cash	Top-ups paid with cash at the desk
Card / Terminal	Top-ups via a payment terminal
Online payment	Top-ups through online acquiring or in-app payment

A growing share of online payments — all else equal — indicates players are actively using the mobile app or prepaying before they arrive. This reduces front-desk load and speeds up check-in.

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Block: KPI

The KPI block is an extended dashboard covering a date range (not just a single day), with breakdowns by day / week / month / quarter and several interactive charts. This is where you make strategic decisions.

Financials

Metric	Formula
Cash revenue	Top-ups − Withdrawals
Accrual revenue	Charges − Refunds
Accrual revenue (no refunds)	Charges only, refunds excluded
Bar revenue (with refunds)	Bar charges − Bar refunds
Refunds	Total refund amount for the period
Discounts applied	Number of orders where a discount was used
Total discount amount	Combined value of all discounts granted
Average top-up check	Mean value of a single top-up transaction

Client data

Beyond the daily block metrics, KPI adds a four-way breakdown:

• New registered / New unregistered
• Returning registered / Returning unregistered

This lets you evaluate marketing campaigns precisely: if a campaign drove many new players but most were unregistered, those visitors are effectively one-time — they cannot be re-engaged later.

Balance operations

Metric	Definition
Bonuses credited	Total bonuses added to client accounts
Manual bonuses	Bonuses granted manually by an administrator
Automatic bonuses	Bonuses from promo codes and automations
Bonuses spent	Bonuses redeemed as payment
Bonuses written off	Bonuses cancelled manually by staff
Manual balance top-up	Balance added directly by an administrator
Manual balance charge	Balance deducted directly by an administrator

Session data

Metric	Formula / Definition
Session count	Total number of sessions in the period
Hours played	Combined duration of all sessions
Average session length	Hours played / session count
Utilization	Session time / (shift duration × devices) × 100%
Unregistered client sessions	Sessions without a linked phone number

Utilization is the key operational metric. A value of 100% means every device was occupied for the entire scheduled working time. Sustained utilization below 30% suggests either that the club is open during hours players do not come, or that tariffs and marketing need rethinking. See the club utilization guide for a step-by-step calculation method.

Bar data

Metric	Definition
Bar order count	Total number of orders placed
Unregistered client orders	Orders placed by players without a phone number
Average order fulfillment time	Mean time from order placement to handoff
Bar average check	Bar revenue / number of bar orders
Average bar margin	Mean margin across items sold (write-offs excluded)

KPI charts

On the right side of the KPI block, three interactive charts let you switch between day / week / month / quarter granularity:

• Revenue — revenue trend over time (top-ups + charges − refunds), filterable by category: Sessions, Bar, Combo, Top-ups.
• Top-up vs. spend ratio — a side-by-side view of total top-ups and total charges over time. The gap between the two lines shows whether players are accumulating unspent balance.
• Hours played — total session hours per period. Use this to spot seasonal patterns and measure the direct effect of marketing campaigns.

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Hourly Revenue Chart

The daily chart at the bottom of the Analytics page shows how revenue was distributed across the day in one-hour intervals. Use it to:

• Identify peak hours and confirm you have enough staff scheduled during them.
• Spot “dead” time slots and target them with promotions — for example, a discounted daytime tariff.
• Compare the load profile of the current day with the comparison date to see whether a change in schedule or promotion had a measurable effect.

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Related sections

• Session report and utilization — utilization by zone and an hour-of-week heatmap of device occupancy
• Tariff analytics — sales broken down by tariff and zone
• Organization analytics — aggregated KPIs across a chain of clubs
• Period comparison — how to use the date comparison feature for trend analysis