Clients Report — Tariffs & Zones
Clients Report — Tariffs & Zones: Reading Your Audience Analytics
Section titled “Clients Report — Tariffs & Zones: Reading Your Audience Analytics”The Tariffs & Zones tab inside the Clients Report answers the question most club owners actually care about: who is buying the expensive tariffs and using the VIP zone? Unlike a plain sales ledger, this view shows the audience behind each tariff — how many unique registered clients chose a given tariff or zone in the selected period, how long their average session was, and what average ticket they produce. Open Analytics → Clients Report → Tariffs & Zones, set a date range, and IZI CRM builds a table where every row is a tariff or zone and the columns reveal both volume (sessions) and depth (unique clients, duration, revenue). This is the complement to Tariff Sales: that report shows transaction totals; this one shows the people behind them. For an owner, the tab drives two decisions: whether to adjust pricing and which audience segment to target with the next promotion or loyalty offer.
What the Table Shows
Section titled “What the Table Shows”| Column | What it means |
|---|---|
| Tariff / Zone | Name as defined in your tariff catalog |
| Unique clients | How many distinct registered clients bought this tariff at least once in the period |
| Total sessions | Total session count — one client can appear multiple times |
| Avg session duration | Median duration of a single session on this tariff |
| Revenue | Total revenue generated by this tariff in the period |
| Avg ticket | Revenue ÷ total sessions |
Sort by any column. A useful sequence: sort by Unique clients first to see your audience structure, then by Avg ticket to spot the highest-margin tariffs.
Available filters:
- Date range — any custom period
- Club — for networks: compare across locations
- Client type — registered clients (full analytics) or all visits
Business Meaning: What Owners Look For
Section titled “Business Meaning: What Owners Look For”Who Actually Uses the VIP Zone
Section titled “Who Actually Uses the VIP Zone”This is the primary reason most owners open this tab. The classic problem: VIP zone is set up, tariffs are created — but it feels like it runs on its own. The Tariffs & Zones tab gives a precise answer:
- VIP tariff penetration = unique VIP clients ÷ total unique active clients × 100 %
If this percentage is consistently low despite having the zone, the cause is usually one of three things: the price gap is not justified by a visible experience difference; staff are not offering an upgrade at checkout; or the segment willing to pay more simply doesn’t know the zone exists.
Concentration on the Cheapest Tariff
Section titled “Concentration on the Cheapest Tariff”A very common pattern: 70–80 % of the client base clusters on one tariff — typically the cheapest or most “familiar” one. This is not a crisis, but it is a signal:
- Are clients choosing it consciously because it fits their needs (often fine)?
- Or is it the cashier’s default, offered without mentioning alternatives?
- Or are the other tariffs too similar in terms, making the difference unclear?
The answer determines whether you need to redesign the pricing matrix or simply adjust the staff offer script.
Repeat Visits vs Unique Clients
Section titled “Repeat Visits vs Unique Clients”The ratio of Total sessions to Unique clients on a tariff shows return frequency for that specific format. If the same small group of clients repeatedly buys an expensive tariff, you have a loyal core. These people belong in a retention program: they already pay a premium — protect them with personalised offers, not mass promotions.
If the opposite is true — many unique clients but low visit frequency — the tariff attracts but does not retain. Good for a first visit, but it does not build a habit.
Admin Workflow: Practical Routines
Section titled “Admin Workflow: Practical Routines”Weekly check (5 minutes):
- Open Analytics → Clients Report → Tariffs & Zones
- Set period: last 7 days
- Sort by Unique clients — note the top 3 tariffs
- Check: has the cheapest tariff grown sharply while expensive ones dropped?
- Check avg session duration per tariff — a sudden drop means clients are leaving earlier than planned
After a pricing change (2 weeks later):
- Compare unique-client shares by tariff before and after
- Confirm the new tariff has gained at least a minimal audience
- Check for cannibalization — a drop in unique clients on adjacent tariffs means the new option is pulling from them, not growing total revenue
After launching a new zone (7 days later):
- Are there any unique clients on the new zone’s tariffs?
- Zero → the tariff is not visible in the cashier interface or the schedule is misconfigured
- Some but very few → the upsell script is not in place yet
Zone Pricing: Reading the Breakdown
Section titled “Zone Pricing: Reading the Breakdown”When zones are configured in your club (Standard PC, VIP PC, PlayStation, simulators, etc.), the report splits the audience by each zone. This enables direct comparisons:
| Metric | What to analyse |
|---|---|
| Client share by zone | Which zone draws the most unique visitors |
| Avg ticket by zone | Real revenue per visit in each zone |
| Visit frequency | Sessions ÷ unique clients — zone audience loyalty |
| Avg session duration | Behavioural differences between zones |
Common insights from zone breakdowns:
- PlayStation zones typically show a higher avg ticket with a smaller client count — a niche but higher-spending audience
- Simulator areas (where present) produce short sessions with high revenue per minute — a different monetisation model from hourly PC tariffs
- The standard PC zone carries the bulk of traffic; here frequency matters more than ticket size
To configure the zones and tariff assignments, see Tariff Zones setup.
Parametric Methodology: What to Measure
Section titled “Parametric Methodology: What to Measure”All formulas below use your own baseline data — there are no universal absolute thresholds.
Tariff penetration index:
Unique clients on tariff ÷ Total active clients in period × 100 %A healthy leading tariff: 40–65 %. Any tariff below 5 % after 30+ days of existence is a candidate for review or deactivation.
Average visit frequency per tariff:
Total sessions on tariff ÷ Unique clients on tariffA value above 2 per month means clients return to this tariff repeatedly — a sign of format loyalty.
Revenue per client by tariff:
Tariff revenue ÷ Unique clients on tariffCompare against your club’s overall ARPU. Tariffs where per-client revenue exceeds ARPU are your high-margin flagships. Clients on these tariffs are the top priority for loyalty mechanics.
Tariff quality index — a composite signal:
(Tariff's share of revenue) ÷ (Tariff's share of clients)- Above 1: each client on this tariff generates above-average revenue
- Below 1: the tariff drives traffic but monetises it below the club average
Connecting to the Loyalty Program
Section titled “Connecting to the Loyalty Program”The Tariffs & Zones data is the natural input for audience segmentation under the top-up bonus and other retention mechanics.
Practical scenario: you identify a segment of clients who visit regularly on a standard tariff but have never tried the VIP zone. That is the exact group for a time-limited trial offer — for example, an elevated bonus rate for their first VIP session. In IZI, configure this rule in Client Segments using the condition “never purchased tariff X.”
The reverse: VIP zone clients who consistently pay above average should be placed in a protected segment and receive personalised retention offers rather than generic discounts sent to everyone.
Handling Tariffs With No Audience
Section titled “Handling Tariffs With No Audience”If a tariff shows zero or near-zero unique clients after 30+ days of existence, run through this checklist before making a decision:
- Is the tariff active? — check its status in the tariff catalog
- Is it included in the sales schedule? — see Tariff Schedules
- Is it visible to staff? — cashiers must see it in the session-opening list
- Is there an offer script? — non-obvious tariffs simply do not sell without one
- Does your audience have a need for it? — analyse potential buyers through Client Segments
If all five points check out but the tariff still has no buyers, it solves a problem your clients do not have. Deactivate it or redesign the terms.
Related Sections
Section titled “Related Sections”- Tariff Sales — the same data from the transaction side, focused on revenue
- Tariff Zones: Setup — how to define zones and tariffs in the catalog
- ARPU Tracking — average revenue per client and its link to your tariff matrix
- Client Segments — segmentation based on tariff behaviour
- Top-Up Bonus Guide — loyalty mechanics built on tariff data
- Shift Report — tariff sales broken down by staff member
Frequently asked questions
What does the Tariffs & Zones tab in the Clients Report show?
It shows which tariffs and hall zones each segment of your client base actually buys: how many unique clients visited a specific tariff, total and average session duration, and revenue per tariff broken down by audience. This tells you who really uses the VIP zone versus who stays on standard seats.
How is this different from the Tariff Sales report?
Tariff Sales counts transactions regardless of who made them — how many times a tariff was sold and for how much. Tariffs & Zones inside the Clients Report looks from the other side: who is buying, how many unique clients visit each tariff, and what their average ticket is. Tariff Sales is for pricing strategy; Tariffs & Zones is for audience understanding.
How do I open the Tariffs & Zones tab in IZI?
Go to Analytics → Clients Report → Tariffs & Zones tab. Select a date range and, for multi-location networks, choose a specific club.
How do I tell if the VIP zone is underutilized?
Look at the unique client count on the VIP tariff for the month and compare it to total active clients. If the share of VIP buyers is below 10–15% despite having a VIP zone, either the tariff isn't being promoted, or the price gap isn't justified by the experience.
Can I filter the report by a specific client?
No — the Tariffs & Zones tab works on aggregated data by segment and tariff, not individual accounts. To see a specific client's history, open their card in the Clients section.
What makes a tariff 'dead' for the audience?
A tariff that attracted fewer than 1% of unique active clients over 30 days is a candidate for review. Check: is it active? Is staff offering it? Is it visible in the booking schedule? If all of that is fine but nobody buys it, the tariff doesn't match what your audience actually needs.
What does 'average session duration' mean for a tariff in this report?
It is the median duration of all sessions on that tariff in the selected period. If an hourly tariff shows an average duration significantly above its nominal length, clients are regularly extending and paying more. That is a signal to consider introducing a longer package at a better rate.
How do I use zone data for pricing decisions?
Compare the share of clients in the VIP zone versus the standard zone against the price difference. If VIP costs 40% more and 30%+ of clients choose it, you have room to raise the price or introduce a more premium tier. Below 5%, either narrow the price gap or add more tangible perks.
Does client type (one-time vs registered) affect the tariff report?
Yes. IZI shows detailed analytics for registered clients. One-time guests without accounts are included in overall session statistics but are not part of the per-client breakdown. Keep this in mind when reading shares: the Clients Report describes your identified, registered base.
How does the Tariffs & Zones report connect to the loyalty program?
Clients who consistently buy premium tariffs are the first candidates for a VIP tier or higher top-up bonus rate. Export the segment of VIP tariff buyers and set up a dedicated bonus rule for them in the Loyalty section.
How often should I check this report?
Monthly for steady-state monitoring. Two weeks after any pricing change to measure the shift. Seven days after launching a new zone or tariff to confirm the audience is finding it.
What if almost all clients concentrate on one tariff?
First find out why — is it the cheapest option, is staff defaulting to it, or do clients consciously prefer its terms? If low price is the only driver, work on positioning the higher options: add a visible difference in conditions or train staff to offer an upgrade at checkout.