Tariff Sales Analytics in IZI CRM
Tariff Sales Analytics
Section titled “Tariff Sales Analytics”The Analytics → Tariff Sales section in IZI CRM shows which tariffs are selling, how often, and for how much. For each tariff position IZI displays the unit count and total revenue — giving you the effective selling price and share of overall club revenue. When revenue rises or falls, the answer is almost always here: a shift in the sales mix, not a change in raw traffic. For drill-down on individual sessions and clients, use the Session Report.
What You See in the Report
Section titled “What You See in the Report”| Column | What It Means |
|---|---|
| Tariff | Name as defined in the tariff catalogue |
| Units sold | How many times the tariff was sold in the period |
| Total revenue | Cumulative revenue from this tariff |
| Average price | Revenue ÷ units sold — discounts become visible here |
The table sorts by any column. The period filter accepts any date range; recommended slices are 30 days (current state), week-over-week (trend), and month-over-month (seasonality).
Business View: What Owners Look For
Section titled “Business View: What Owners Look For”Revenue Concentration
Section titled “Revenue Concentration”In most clubs, 2–3 tariffs generate 60–80% of revenue — that’s healthy. Problems appear at the extremes:
- One tariff at 75%+ of revenue and it’s your cheapest option — clients are systematically choosing the lowest-margin position. Cause: premium tariffs have no clear value differentiator, or staff defaults to the minimum.
- Evenly distributed revenue — no anchor tariff and no clear promo. The price grid isn’t shaped around actual client behavior.
Zero-Sales Tariffs
Section titled “Zero-Sales Tariffs”A tariff with no sales creates cognitive overhead for cashiers and confuses clients. Before removing it, verify: is it active? Does it fall within the sales schedule? Does staff know it exists? Is there a client segment it was built for? If the answer to all four is yes but sales are still zero — remove it.
Effective Price vs. List Price
Section titled “Effective Price vs. List Price”If the average selling price is noticeably below the listed price:
- Staff are applying manual discounts — check permission levels
- A promo code is active — see the Promo Codes Report
- The tariff sells with bonuses that reduce real ARPU
For multipass (subscriptions), a gap between nominal and realized price warrants a review of partial-use terms.
Practice: How Admins Use It
Section titled “Practice: How Admins Use It”A typical routine at shift start or end of week:
- Open Analytics → Tariff Sales
- Set the period to the last 7 days
- Sort by Total revenue — your top 3 positions are immediately visible
- Confirm the revenue leader is not your cheapest tariff
- Review tariffs with 0–2 sales: push staff to promote them, or deactivate?
Launched a promotion or a new tariff? Compare the current week to the previous one — can you see the redistribution moving in the right direction? After 7 days a new position should have at least a handful of sales; zero means it’s invisible to staff or the schedule settings are misconfigured.
Period comparison is the most valuable workflow. Launched a new evening tariff? Check the report after two weeks: are sales growing, and did the base tariff drop? If the base tariff fell, the new one is cannibalizing existing revenue rather than creating incremental revenue. Seasonal patterns matter too — leisure-time tariffs typically grow during school holidays while evening and weekend tariffs lead during the academic year. If your data doesn’t show this pattern, your price grid isn’t adapted to the season.
Parametric Formulas
Section titled “Parametric Formulas”Top tariff share = revenue from the leading tariff ÷ total revenue. Healthy range: 40–65%. Investigate if: > 75% (over-reliance) or < 30% (no clear anchor).
Average tariff ticket = tariff revenue ÷ units sold. Compare to club AOV. If the revenue leader sits below AOV, clients are consistently trading down.
Tariff contribution index = (tariff revenue ÷ total revenue) ÷ (tariff units ÷ total units). Index > 1: this tariff is above average price — a good sign. Index < 1: high volume but low ticket — flag for analysis.
Dead tariff threshold (all three conditions): < 1% of sales over 30 days + tariff has been active ≥ 30 days + at least 2 competing positions in the same price range → candidate for removal.
Related Sections
Section titled “Related Sections”- Hall Load — which hours and devices drive tariff sales
- Shift Report — which staff sell premium tariffs vs. defaulting to the minimum
- Load Heatmap — when to add new tariff positions
- Tariff pricing strategy: peak, off-peak, and night pricing
- Tariff schedules
- Promo codes summary report
Frequently asked questions
What does the Tariff Sales section show in IZI?
It shows how many times each tariff was sold during a selected period, the total revenue generated per tariff, and each tariff's share of overall revenue. This makes it immediately clear which tariffs are doing real work and which ones sit unused.
How is Tariff Sales different from the Session Report?
Tariff Sales aggregates data by tariff position — how many units sold and for how much. The Session Report operates at the individual session level: start/end time, specific workstation, specific client. Use Tariff Sales for pricing strategy; use Session Report for operational control.
How do I view tariff sales for a custom date range?
Go to Analytics → Tariff Sales and select the date range using the period filter. You can compare weeks, months, or arbitrary intervals — for example, before and after a pricing change.
Which tariffs are considered dead weight and what should I do?
A tariff with under 1% of sales over 30 days while competing positions exist is a candidate for removal. First verify: is the tariff active? Is it available in the sales schedule? Does staff know about it? If yes to all but still zero sales, the tariff solves a problem your clients don't have.
How do I use tariff sales data for pricing strategy?
Look at three things: revenue concentration (do the top 3 tariffs cover 80%+? — that's normal), trend (which tariffs are growing or declining), and time-gated conversion (are tariffs with selling windows actually selling within those windows?). This is the foundation for rebuilding your price grid.
Can I see tariff sales broken down by zone?
Yes, if your club uses zone-based pricing. Tariffs like PC Standard, PC VIP, and PS5 appear as separate rows — you can compare zone revenue directly.
Why does one tariff outsell all the others by a wide margin?
This is normal: most clubs see 1–2 tariffs generating 60–75% of revenue. The problem arises when the dominant tariff is also the cheapest one — all traffic flows into the lowest-margin option. Check whether clients choose it consciously or if it's simply the cashier's default.
How do I find the tariff with the best price-to-demand ratio?
Build a table: units sold × average tariff price. A tariff with high sales volume and a high price is your golden asset. If that combination doesn't exist, clients are consistently trading down — a signal to revisit your pricing grid or improve the value proposition of premium options.
What should I do if multipass (subscriptions) aren't selling?
Check three causes: (1) staff aren't offering them — no sales script; (2) the price feels high to infrequent visitors — wrong audience segment; (3) the terms are opaque — clients don't understand the benefit. The first cause typically accounts for 60–70% of cases.
How often should I review tariff sales analytics?
At minimum once a month for operational control. After a pricing change — two weeks after launch. After introducing a new tariff — after one week to confirm it's actually being sold at all.