Session Report — Metrics Explained

Published: 2026-05-30 · Updated: 2026-06-20 (13 days ago)· IZI Team

Session Report — Metrics: What They Show and How to Read Them

The Analytics → Session Report → Metrics tab in IZI CRM consolidates the core operational numbers for your club over any date range you choose: total sessions, aggregate revenue, revenue per session (AOV), average session duration, unique registered clients, and a payment method breakdown. Open the tab, pick a date range and club, and IZI builds the summary instantly. Numbers update as sessions close — the moment an admin ends a session, it enters the report. Next to each metric IZI shows the delta versus the equivalent prior period, so you spot swings without doing manual comparisons. A club owner who reviews these metrics once a week understands three things at a glance: is traffic growing, is the average check holding, and how long do clients stay. Those are the three revenue levers — and each one requires a different management response.

What Each Metric Means

Session Count

The total number of gaming sessions closed during the chosen period. Includes both registered clients and one-time walk-in guests. Sessions still open at the time of viewing are excluded; they enter the count when closed.

How to read it. Session count is raw traffic. Fewer sessions means fewer visits — either fewer people came or existing clients visited less often. More sessions means the opposite. Always read it alongside revenue: traffic can rise while revenue falls (clients moving to cheaper tariffs) or fall while revenue holds (clients choosing longer, pricier plans).

Parametric formula for traffic:

Sessions = Unique clients × Average visit frequency for the period

If sessions dropped but unique clients stayed the same, visit frequency fell. If both dropped proportionally, you have audience churn rather than a behaviour shift.

Total Revenue for the Period

The sum of all closed sessions in the period, calculated on an accrual basis — revenue is recorded when the service is delivered, not when cash is received. All payment methods are included: cash, card, in-app top-up, and bonus balance redemptions.

This is a top-line figure. To understand what drove it (which tariffs, which products), go to the Tariff Sales section.

Revenue per Session (AOV)

AOV at session level = total revenue ÷ session count. This is the average monetary value of one visit.

AOV responds to four common changes:

What changed	Effect on AOV
Tariff prices raised	Rises, if clients stay on the same tariff
Clients shift to longer tariffs	Rises
More clients choose cheaper tariffs	Falls, even with stable traffic
Bar or add-on upsells increase	Rises, if those sales are tied to the session

Parametric benchmark. Calculate your average AOV over the last 4 weeks — that is your baseline. A current-period deviation of more than 15% in either direction is a signal worth investigating: what changed in the sales mix?

Average Session Duration

The mean time from tariff open to tariff close across all sessions in the period. Only closed sessions are counted.

Business meaning. Duration is the depth of client engagement. A club with longer average sessions earns more per square metre, all else equal: the client occupies a seat longer and pays more. If AOV rises while duration falls, clients are shifting from hourly to flat-rate tariffs — revenue may hold now but the mix has changed.

Track duration by day of the week to spot split audiences:

Weekday average duration vs weekend average duration

A gap above 40% means you have two fundamentally different client scenarios. Weekend visitors settle in for hours; weekday visitors come for a quick session between commitments. Your tariff grid should reflect this difference.

Unique Clients

The number of distinct registered accounts that opened at least one session during the period. One-time guests without accounts are counted separately and do not appear in this figure.

How to use it. Divide sessions by unique clients:

Visit frequency = Sessions / Unique clients

A rising frequency means existing clients return more often — loyalty is improving. A falling frequency means clients are coming back less; time to look at your retention rate and churn signals.

A healthy visit frequency for a club with a stable regular audience is ≥ 1.5 per month. Below 1.2 means clients visit less than once a month on average.

Payment Method Breakdown

IZI shows the payment structure for sessions: cash, card, in-app top-up (client topped up through the IZI mobile app), and bonus balance redemption.

Method	What it tells you
Cash	Traditional till, requires reconciliation at shift close
Card	Cashless card payment
In-app	Client loaded funds via the IZI mobile app
Bonus	Earned bonus points redeemed at checkout

The bonus redemption share is an indicator of loyalty programme activity. A normal range is 10–25% of total revenue. Above 30% suggests the programme may be over-generous — see Bonus Report Metrics for guidance on rebalancing.

How to Read Metrics: Practical Workflows

Daily Check (5–7 minutes)

Open Analytics → Session Report → Metrics, select yesterday
Check session count: is the delta versus the same day last week worse than −15%?
Check AOV: above or below your 4-week baseline?
If both deviated — open the Daily Analytics section for an hour-by-hour breakdown
No anomalies — two minutes, day closed

Weekly Deep-Dive (15–20 minutes)

Set the date range to the current week and compare to last week
Is traffic stable, growing, or declining?
Check AOV trend over 7 days — is there a downward drift?
Check average duration — has the client profile shifted toward shorter sessions?
Check payment mix — has the bonus share crept above 25–30%?
If traffic is normal but revenue is down — go to Tariff Sales: the mix may have shifted toward cheaper positions

After Launching a New Tariff or Promotion

Check metrics 7 days after launch:

Did session count change? A promotion should increase traffic or return frequency
How did AOV move? A fixed-price promotion typically lowers AOV but should compensate with more sessions
Did average duration shift? An unlimited tariff should push it up
Did the payment mix change in the direction the promotion was designed to drive?

Signals and Actions: Interpretation Table

What you see in Metrics	Likely cause	Next step
Sessions up, revenue flat	Shift to cheaper tariffs	Check mix in Tariff Sales
AOV dropped, traffic stable	Clients choosing lower-price positions or active promo code	Check promo codes, staff tariff scripts
Average duration shortened	Audience profile shifted or new short tariffs introduced	Compare tariff and day-of-week breakdown
Fewer unique clients, same sessions	Regulars visiting more often; no new clients	Check retention rate and acquisition
Bonus payment share > 30%	Loyalty programme too generous	Adjust accrual rate or redemption cap
Sudden session drop on a specific day	Technical outage, external event, or scheduling error	Cross-check with Daily Analytics and shift log

Parametric Formulas for Self-Assessment

All thresholds below are parametric — substitute your own baseline numbers.

Target revenue for a period (back-calculation):

Target revenue = Seats × Target utilisation (%) × Average tariff per hour × Operating hours

Compare this to the actual revenue figure in Metrics. The gap is unrealised potential.

AOV benchmark:

Baseline AOV = Total revenue over last 28 days / Sessions over last 28 days
Lower threshold = Baseline AOV × 0.85

If the current period AOV falls below the lower threshold, investigate the sales mix.

Visit frequency benchmark:

Visit frequency = Sessions / Unique clients

Target for a club with a regular audience: ≥ 1.5 per month. Below 1.2 is a retention signal.

Why Session Metrics Matter More Than Revenue Alone

Revenue is an outcome. Session metrics describe the process that produces it. Knowing only the monthly revenue total tells you nothing about why it moved. The three revenue multipliers are all visible here:

Revenue = Traffic (sessions) × Average duration × Price of time

If revenue falls, you can identify in two minutes which of the three factors dropped — and that determines the management response:

Traffic fell → marketing, visibility, competitors, seasonality
Duration fell → the tariff grid does not retain clients; no long-session options
Price fell → shift toward cheap tariffs, promo codes, or staff selling below the optimal position

IZI stores the full history with no depth limit, so you can compare identical weeks across different months or years to separate seasonal patterns from structural trends.

Session Load — how sessions distribute across hours and days of the week, for managing peak demand
Load Heatmap — visual seat-occupancy grid by hour
Daily Analytics — hourly revenue and traffic breakdown for a single day
Tariff Sales — revenue structure by tariff position, for diagnosing AOV shifts
Shift Report — metrics broken down by shift and administrator
AOV in a Computer Club — what average order value means and how to influence it
ARPU — average revenue per client over a period, the next metric above AOV

Frequently asked questions

Where do I find the Session Report Metrics tab in IZI?

Go to Analytics → Session Report → Metrics tab. Select a date range and club — IZI instantly generates a summary of key indicators for that period.

What counts as a session in IZI?

A session is one continuous block of gaming time: from when a tariff is opened to when it is closed. If a client visits twice in one day, that is two sessions. One tariff equals one session, even if the client switches between devices during it.

How is Metrics different from the Load tab in Session Report?

Metrics is an aggregated summary — revenue, session count, average check, and average duration over the chosen period. Load shows how sessions are distributed across hours of the day and days of the week. Metrics tells you how much; Load tells you when.

How is average session duration calculated?

Average duration equals the total time of all closed sessions in the period divided by the number of sessions. Active (still open) sessions are excluded until they are closed.

Are walk-in guests without accounts included in the metrics?

Yes. All sessions — both registered clients and one-time guests without an account — are counted in total sessions and total revenue. In client breakdowns, guests appear as a separate unidentified segment.

What does revenue per session (AOV) mean?

AOV at session level is total revenue for the period divided by number of sessions. It reflects the average value of a single visit. It rises when tariff prices increase, when clients shift to longer tariffs, or when upsells grow.

How do I find underperforming hours using the Metrics tab?

The Metrics tab gives aggregated totals, not hour-by-hour breakdown. For dead hours, use the Load or Heatmap tabs — they split data into hourly slots.

Can I export the Session Report data?

Yes. A CSV export button is in the top-right corner of the section. The file contains all metric rows for the selected period.

Sessions went up but revenue did not — what happened?

Traffic grew but revenue did not follow, which usually means clients shifted to shorter or cheaper tariffs. Compare average session duration and AOV against the previous period. If duration dropped, check the tariff mix in the Tariff Sales section.

How often should I review the Session Report Metrics?

Recommended cadence: a 5–7 minute daily check on key numbers, and a 15–20 minute weekly deep-dive. After launching a new tariff or promotion, check metrics 7 days after the start to measure the effect.