How to Increase Visit Frequency at a Computer Club

Published: 2026-05-31· IZI Team

How to Increase Visit Frequency at a Computer Club

To lift average visit frequency among active clients by 0.7–1.5 sessions per month, use a combination of four levers: an elevated second-visit bonus, an off-peak incentive, multipass conversion, and targeted pushes on “quiet” days. Frequency is the second multiplier in the formula ARPU = frequency × AOV: lifting it 30% without changing prices means a 30% ARPU increase. Each lever is configured in the IZI Automations module and measured through built-in analytics.

Why This Matters to an Owner

A club earns in two ways: clients pay more per visit or come more often. AOV has a ceiling — a client won’t top up their entire salary for a bonus. Visit frequency is a softer lever: coming one more time per week is psychologically easier than doubling a one-time payment.

Growing frequency also delivers a double effect. Direct: more sessions = more revenue. Indirect: a high-frequency client is an anchor client. Their LTV is 3–5× higher than a one-time visitor; they’re less sensitive to competitive offers and generate social proof for newcomers.

Important to understand: growing “regulars” is easiest — they’ve already visited 2–3 times, just haven’t reached the weekly pattern yet. That’s where the main work should be concentrated.

What You Need Before Launch

Three numbers — the baseline for the work.

Sessions/player/month — current average frequency across the base. Measure: Analytics → Clients → summary. Details → Visit Frequency in IZI.
Base distribution by frequency — how many % of clients fall into each group (1, 2–3, 4+ visits). Needed for lever prioritisation.
AOV by segment — occasional clients usually spend less; the core spends more. Measure → How to Calculate Club AOV.

Methodology: Four Frequency Levers

Each lever addresses its own barrier:

Lever	Barrier it removes	Segment
Elevated second-visit bonus	”No reason to return”	Occasional (1/month)
Off-peak incentive	”Don’t want to come at an unusual time”	Regular (2–3/month)
Multipass conversion	”Make the decision anew every time”	Regular → core
Push on quiet days	”Simply forgot”	All segments

You can apply all four simultaneously, but it’s better to launch one lever every two weeks. Otherwise you won’t know what worked and what to scale.

Parametric Uplift Formula

Final sessions/player gain depends on each lever’s effectiveness and the segment’s share of the base:

Δ freq = Σ (segment_share × Δ_freq_lever × adoption_rate)

Where adoption_rate — the share of the segment that actually changed their behaviour.

Illustration (base = 300 active clients, baseline sessions/player = 2.5/month):

Segment	Share	Δ freq from lever	Adoption	Contribution
Occasional (1/month)	40% = 120 people	+0.8	25%	+0.08
Regular (2–3/month)	45% = 135 people	+1.2	35%	+0.19
Core (4+/month)	15% = 45 people	+0.3	50%	+0.02
Total	100%	—	—	+0.29

Projected result: 2.5 + 0.29 = 2.79 sessions/player/month (+11.6%). Realistic range with proper execution — +10–25% from baseline depending on adoption.

Substitute your numbers.

Lever 1: Elevated Second-Visit Bonus

The mechanic is identical to the newcomer retention playbook, but applied to the “occasional” regulars segment — those who already visit, but with gaps of more than 2 weeks.

Bonus formula:

Second-visit bonus = avg_topup × 15–20%
Expiration = 10–14 days (creates urgency)
Condition = last_visit 8–20 days ago

The rule fires precisely: a client who hasn’t visited in 8–20 days gets an elevated bonus on their next top-up. This “pulls” them out of the bi-weekly cycle back into a weekly one.

Automations setup:

Trigger: BALANCE_TOPPED_UP
Condition: last_visit_days_ago BETWEEN 8 AND 20
Action: ADD_BONUS 18%
Expiration: 14 days
Limit: no more than 2 firings per client per month

Lever 2: Off-Peak Incentive

For the “regular” segment (2–3 visits/month), the main barrier is pattern: they only come Friday–Sunday. An off-peak bonus creates a financial incentive to come mid-week — adding a visit to an already existing Friday habit.

Full methodology → Off-Peak Fill Playbook.

Key parameters:

Daytime bonus = base tier 1 × 3–5 (i.e. 15–25%)
Window = Tuesday–Thursday 10:00–19:00
Expiration = 30 days

For frequency growth (unlike utilisation), it’s important to set up a push: on Tuesday morning, clients who haven’t visited since the previous week receive a reminder about the bonus. The moment — a specific day, specific percentage, specific time. Without this, the rule only fires passively — only if the client comes on their own.

Lever 3: Multipass Conversion

Multipass is the most powerful frequency growth mechanism. A client with a prepaid hour package visits 1.5–2× more often: while the paid hours are unused, there’s a psychological obligation to return.

Full methodology → Sell Multipass Playbook.

For frequency growth, multipass conversion is most effective for “regulars” (2–3 visits): they’re consistent enough to use the package, but not yet at the maximum. Converting “occasionals” to multipass is premature — first raise their baseline frequency with the second-visit bonus.

Lever 4: Push on Quiet Days

The cheapest lever to implement. For clients with the IZI mobile app installed, a push at the right moment = a reminder the club exists.

Optimal send pattern:

Day: Tuesday or Wednesday (weekly traffic minimum)
Time: 13:00–15:00 (pre-afternoon lull in the working day)
Segment: clients who haven't visited the club in 5–7 days
Text: specific bonus or mention of a new event

Push template:

“{club_name}: haven’t been in a while. Today until {time} there’s a {bonus_pct}% bonus on top-up — offer today only.”

A push without a specific offer gets 8–12% open rate. A push with a specific bonus + deadline — 18–25%. Conversion to a visit is even more different.

Limit: maximum 1–2 pushes per week per client. More = perceived as spam, client disables notifications.

Admin Scripts

1. Regular client after a 10-day gap

“Haven’t seen you in a while! By the way, right now for people who’ve been away — {bonus_pct}% on a top-up, bonus until {expiry_date}. Put in {amount} and you’ll get {bonus_amount} on top.”

2. Regular client — transitioning to multipass

“You come roughly {visits_per_month} times a month. A multipass for {multipass_price} + {tier2_bonus} bonus works out cheaper than paying {session_price} each time. Plus no need to think about it every time.”

The idea of “no need to think every time” is key for frequency growth. A prepaid asset removes the barrier of “should I go today?“

3. Off-peak bonus announcement on a Friday evening

“Tuesday through Thursday there’s a {bonus_pct}% bonus on top-ups — instead of the usual {base_pct}%. If you can come mid-week — better value.”

How to Measure Uplift

Primary metric: sessions/player/month — view in IZI Analytics client summary. Compare “month on month” using the period comparison mode.

By segment:

Occasional: was 1.0 → target 1.5–1.8 (+50–80%)
Regular: was 2.5 → target 3.2–4.0 (+28–60%)
Core: control group — should not decline

Supporting metrics:

ARPU before/after: if sessions grow, ARPU should grow proportionally
Rule breakdown per rule: shows which lever generates operations
Multipass session share: multipass conversion as a proxy metric for long-term frequency growth

Success signal: sessions/player grew 10%+ in the first month.

When This Method Doesn’t Work

1. Base < 50 active clients

Segmentation doesn’t make sense with a small base — insufficient data for a reliable measurement. First build the base via newcomer retention.

2. No mobile app among clients

Without push channel, lever 4 drops out. All load goes to admins and passive Automations rule firing.

3. Club without an off-peak audience

If your audience consists of office workers 9–18 and students during exam periods, daytime off-peak won’t attract traffic physically. Focus on levers 1 and 3.

4. All clients are already in the core

If 70%+ of the base visits 4+ times/month — frequency is already high. Further growth is harder and costlier. Switch to AOV growth via the AOV playbook or the VIP programme.

Parameters depend on your AOV, currency and audience. Formulas are frameworks — substitute your numbers before launching.