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Case Study: Off-Peak Fill Rate at True Gamers UAE

Published: · IZI Team

Case Study: Off-Peak Fill Rate at True Gamers UAE

Section titled “Case Study: Off-Peak Fill Rate at True Gamers UAE”

The standard picture at any gaming club: full in the evening, empty during the day. At True Gamers UAE, off-peak occupancy (10:00–17:00, weekdays) was around 32% — a third of machines sitting idle while electricity and rent keep running. “September 2024” was the turning point: a systematic approach to daytime occupancy was launched through differentiated tariffs and targeted offers for daytime segments. Within two months, off-peak occupancy rose to 56%.

The full methodology for filling off-peak hours is in the playbook. Here — the specific network implementation.

The first step was understanding who the daytime client actually is. In IZI → Analytics → Hall Load, a heatmap was built by hour over the past 90 days. The result was a typical bimodal pattern: a small spike at 13:00–15:00 (lunch break for some clients) and near-silence until 17:00.

Client segment analysis by visit time showed 70% of daytime visitors were local university students and freelancers. Both segments are price-sensitive but less time-constrained — they can come at any hour. The prime-time client (office worker after 18:00) is a different audience with different constraints.

Conclusion: the daytime audience exists; they just lack sufficient incentive to choose the club during the day rather than evening.

In CRM → Tariffs → Tariff Schedules, three time slots were created:

SlotHoursTariff typeDiscount vs prime
Daytime10:00–17:00 weekdaysStandard × 0.65−35%
Transition17:00–19:00Standard × 0.85−15%
Prime19:00–02:00Standard × 1.0base

IZI applies the tariff automatically when a session is opened — no manual switching for the administrator. The client sees the current price on the cashier screen.

Important: the prime tariff was not reduced. The daytime discount doesn’t devalue the evening offer — these are different products for different segments.

A separate “Daytime Regular” bundle — 10 daytime sessions (valid 10:00–17:00 only) for 600 AED. At the daytime tariff, this is an additional ~20% discount on top. For a student visiting 3–4 times per week during the day — highly compelling.

Setup in IZI → Tariffs → Multipass: set a time-of-day restriction (parameter “Applicable during hours”).

Via the IZI mobile app messaging, offers were sent to two segments:

  • Clients with a history of daytime visits (at least 2 visits before 17:00 in the past 90 days) — offered the daytime multipass
  • Low-frequency clients (1–2 visits per month) — reminded about the daytime tariff as a way to visit more often without higher spend

Segments are configured in CRM → Clients → Filters: “time of first visit”, “average visit time”.

Illustrative scenario, Dubai clubs, “November 2024”.

MetricBeforeAfter 2 monthsChange
Off-peak occupancy (10:00–17:00)32%56%+24 p.p.
Prime-time occupancy (19:00–02:00)88%91%no change
Unique daytime clients/day~18~38+111%
Daytime multipass sales47 bundles/monthnew product
Off-peak slot revenuebaseline+68% vs baseline

The key result: prime time was unaffected. This matters — some clubs worry that “if daytime is cheap, fewer will come in the evening.” The data shows the opposite: daytime and evening clients are different segments with different schedules.


Scenario is based on the aggregated experience of the True Gamers UAE network. Staff and client names have been changed.

Frequently asked questions

What is a normal off-peak occupancy rate for a gaming club?

Industry average for off-peak (10:00–17:00 weekdays) is 25–45%. Evening prime time is 80–95%. The goal is to raise off-peak to 50–60% without reducing prime-time pricing.

How do you set time-based tariffs in IZI?

CRM → Tariffs → Tariff Schedules. Set the days of the week, hourly ranges and price for each slot. IZI automatically applies the correct tariff when opening a session.

Will a daytime discount reduce the perceived value of prime time?

No, if the price difference is justified and transparent. Clients understand: evenings are more expensive because they're busier. This is standard practice — like morning cinema tickets.

Who visits gaming clubs during the day?

Three main segments: students (breaks between classes), freelancers/remote workers (combining work and gaming), and shift workers who are free during the day.

How do I analyze occupancy by hour in IZI?

In Analytics → Hall Load → select a date range and 'by hour' mode. You'll see a heatmap showing when the club is empty and when it's full, by day of the week.