# Post-World Cup 2026 Analysis: Turn Your Reports Into Profit
*The metrics that reveal what worked and what did not, and how to prepare for the next event season using the lessons of the tournament*

> **In short:** How to read your post-World Cup 2026 reports and measure campaign performance: core metrics, peak-hour analysis, labor cost versus revenue, and repeat rate.

- **URL:** https://www.snad.io/en/blog/tahlil-baad-kaas-alalam-2026-taqarir-tajir
- **Arabic original:** https://www.snad.io/blog/tahlil-baad-kaas-alalam-2026-taqarir-tajir
- **Category:** Industry — Events & Venues
- **Tags:** World Cup 2026, financial reports, data analysis, ROI, business management, ERP, cost centers
- **Published:** 2026-05-10
- **Updated:** 2026-08-02
- **Publisher:** Snad (snad.io)

The World Cup 2026 final ends on 19 July, and you finally exhale after 39 straight days of peak trading. This is the exact moment when most merchants make the mistake that costs them the whole of the next tournament: they look at the bank balance on 20 July, see a number higher than usual, and reduce the entire verdict to 'the tournament went well.' Then everyone files it away and moves on to the next season. That lazy assessment wastes the most valuable asset you walked away with: the data. Over 39 days, every invoice, every staff shift, every item that sold or piled up, and every customer who walked in for the first time was writing you a detailed report on what works and what does not in your business. Ignoring that data means repeating the same mistakes in 2030, in the next Riyadh Season, in Ramadan, and at the 2034 World Cup that Saudi Arabia is hosting. This guide is for the owner who wants to turn 39 days of experience into permanent knowledge that will serve them for a decade.

## Why post-season analysis matters more than the season itself

Post-season analysis is not an accounting luxury. It is an investment in a season that has not arrived yet. Three reasons make it the dividing line between a merchant who learns and a merchant who repeats:

**1. The biggest lessons are buried in the detail**:
The headline revenue figure for the tournament (say SAR 380,000) tells you nothing useful. The useful figure is this: 'the single-match bundle earned a 42% margin, the four-match bundle earned 28%, breakfast items during the dawn slot earned 51%.' Those numbers tell you what to repeat in the next event season. Analysing the detail is how you harvest the knowledge.

**2. Human memory fades fast**:
Two months after the final you will have forgotten which match was busiest, which employee excelled under pressure, which supplier was late, and which item ran out. Written reports are your extended memory. Write them while you still remember, not six months later.

**3. The next season arrives faster than you think**:
Riyadh Season starts in October, Ramadan 2027 falls in February, then the Asian Cup, then the 2034 World Cup. The gap between seasons is not long enough to start from scratch if you did not invest in serious analysis beforehand.

**What does this mean in practice?** Block out a full week, 20 to 26 July 2026, for post-tournament analysis. That single week can produce knowledge worth hundreds of thousands of SAR across the seasons ahead. Do not tell yourself you will get to it 'later.' Analysis after the fact only pays off when it is paired with getting the operational preparation for the World Cup 2026 right and with the marketing campaigns that ran alongside it. The three together form a complete learning loop.

## Seven core metrics to measure after the tournament

The numbers that matter, how to calculate them, and what they mean:

**1. Incremental revenue**:
The difference between total revenue during the tournament window (11 June to 19 July 2026) and the average for an equivalent window in the preceding months. Example: if your normal monthly revenue is SAR 200,000 and tournament revenue across 39 days is SAR 380,000, then incremental revenue = 380,000 − (200,000 × 39/30) = 380,000 − 260,000 = **SAR 120,000**. That figure is what the tournament actually brought in.

**2. Average order value (AOV)**:
Total revenue ÷ number of invoices. Compare it with your AOV before the tournament. If it was SAR 45 before and SAR 58 during, the bundle campaign succeeded in lifting order value by 29%.

**3. Marketing ROI**:
Incremental revenue ÷ marketing campaign cost. Example: incremental revenue SAR 120,000, campaign cost SAR 18,000, ROI = 6.7×. In other words, every SAR 1 you spent on marketing brought in SAR 6.7 of incremental revenue. Below 3× means the campaign failed.

**4. New customer acquisition cost (CAC)**:
Campaign cost ÷ number of new customers. Example: SAR 18,000 ÷ 240 new customers = SAR 75 per customer. Compare that with AOV: SAR 75 of CAC against SAR 58 of AOV is a losing deal in the short term, but a profitable one if the customer comes back twice or more.

**5. Repeat rate**:
The share of new customers acquired during the tournament who came back in the month that followed it (July to August 2026). This is the single most important indicator of whether the benefit lasts. 30% or higher = success. Below 15% = a problem with the service or with what the customer expected.

**6. Bundle profit margin**:
For each promotional bundle: price − cost of components (COGS) − direct labor cost. What is left is the margin. Any bundle running under a 25% margin should be repriced or dropped for the next season.

**7. Revenue per labor hour**:
Total revenue ÷ total staff hours worked during the tournament. Compare it with the same ratio in normal months. A rise means high operating efficiency. A fall means you paid extra wages without a proportionate return, which is a scheduling problem.

**How do you calculate these easily?** An accounting system such as Snad shows all of them in a 'period analysis' report in a few clicks, provided you logged the campaign as a separate cost center during the tournament (see the previous article).

## Actual peak hours versus forecast peak hours

During the tournament you forecast certain peak hours (22:00-02:00 for US East Coast kick-offs, say). Did reality match that, or was it different? The answer comes from the 'sales by hour' report.

**What to look for**:

1. **Is your forecast peak your actual peak?**
 - If yes: your forecasting is sound. Apply it in the seasons ahead.
 - If no: note the actual peak hours. You may have uncovered a new pattern (for example: 'customers arrive an hour before kick-off, not half an hour before').

2. **What is the gap between the peak on a big match day and the peak on a day with no match or a minor one?**
 - Quantifying that gap helps you plan 'scheduling flexibility' in future seasons, with larger or smaller shifts depending on how important the fixtures are.

3. **Did the dawn hours (06:00-09:00) bring in enough revenue to justify opening?**
 - If you opened early for a Pacific kick-off, work out revenue per hour against the cost of the staff on shift. If revenue < labor cost, do not repeat it in 2030.

4. **Which were the 'dead hours' during the tournament?**
 - Merchants often assume every hour of the tournament was a peak, but the analysis reveals that certain slots (15:00-18:00, for instance) were quieter than they were before the tournament. Possibly because customers were 'saving' their appetite for the evening match. That is a signal to rework your daytime offers next season.

**A practical tool**: pull the 'daily sales by hour' report for every single day of the tournament and plot a combined heatmap of days × hours. The darkest cells are your real peak hours. That map is the recipe for planning the next season.

## Inventory analysis: what sold, what piled up, what ran out on your shelves

Inventory after the tournament tells two contradictory stories, and both are useful:

**Story one: leftover inventory (slow movers)**:
Items you bought in bulk in anticipation of the tournament that did not sell at the rate you expected. For example, 200 boxes of a particular brand of crisps that nobody touched. To analyse them:

- **Why did they not sell?** Was there a cheaper or more popular alternative? Were they shelved somewhere customers could not see?
- **What did the pile-up cost?** The real cost = purchase price + cost of the space + opportunity cost (had that capital gone into a different item).
- **What do you do with them now?** Discount them to clear before expiry. Or fold them into a promotional bundle with an item that is in demand. Or return them to the supplier if the policy allows.

**Story two: stock outs**:
The moments when a particular item ran out during a match peak. This is the most valuable data of all, because it exposes a lost sale. To analyse it:

- **How many times did each item run out?** The 'low stock alerts' report in the system logs this automatically.
- **At what hour did it run out?** If it ran out before the match peak, your reorder point was set too low.
- **Roughly how much revenue was lost?** Hours out of stock × average hourly sales of that item. Example: burgers ran out for two hours, average sales 12 burgers per hour at SAR 30 = SAR 720 of lost revenue. Multiply that by the number of stock-out incidents to get the total lost opportunity.

**Story three: physical count versus book quantity (inventory variance)**:
After the tournament, run a physical count and compare it with the system balance. The gaps expose:
- Theft (internal or external).
- Goods leaving without an invoice (giveaways, staff consumption).
- Errors in recording sales or receipts.

Any variance above 2-3% deserves an investigation into your operating procedures.

**The practical takeaway**: leave the inventory review with two lists:
- 'Raise the threshold' items: the ones that ran out repeatedly → raise the reorder point by 30-50% for next season.
- 'Lower the threshold' items: the ones that piled up → cut the order quantity for next season by the same proportion.

## Extra labor cost versus extra revenue

Did the night shifts and the extra staffing actually make you money, or did you pay more in extra wages than you brought in? It is the most painful and the most important question in the post-tournament review.

**How to calculate it**:

**1. Total extra labor cost**:
- Overtime hours × hourly wage × 1.5
- + wages for extra temporary staff
- + additional GOSI contributions on those wages (12.75% for Saudi employees, borne by the employer)
- + the cost of staff meals during night shifts

Example:
- 6 employees × 30 match days × 4 overtime hours × SAR 21.6 per hour × 1.5 = **SAR 23,328** in overtime
- + 2 part-time temporary staff × 30 days × 6 hours × SAR 25 = **SAR 9,000**
- + GOSI on Saudi employees' overtime: 23,328 × 12.75% = **SAR 2,974**
- + staff meals: 6 × 30 × SAR 25 = **SAR 4,500**
- Total extra labor cost = **SAR 39,802**

**2. Revenue attributable to the extra shifts**:
In theory it equals total incremental revenue. In practice, part of that incremental revenue came from customers in normal trading hours (the match menu ordered at an ordinary dinner time, for example). To be precise, pull revenue for the newly added hours only (23:00-06:00, say, if you were not open in those hours before the tournament).

Assume revenue from the extra hours = **SAR 85,000**.

**3. Margin on the extra labor**:
Extra revenue 85,000 − extra labor cost 39,802 − cost of goods (50% of revenue) 42,500 = **SAR 2,698** of net profit from the extra shifts.

That figure is very thin, and it shows the night shifts were not meaningfully profitable. The lessons:
- Perhaps the dawn hours should be closed if the profit on them is marginal.
- Perhaps the dawn menu needs higher prices to cover the labor cost.
- Perhaps you were overstaffed, and next season calls for tighter scheduling.

**4. Compare revenue per labor hour before and during the tournament**:
Before the tournament: SAR 200,000 a month ÷ 1,200 labor hours = SAR 167 per hour.
During the tournament: 380,000 ÷ 2,100 hours = SAR 181 per hour.

The difference is positive but modest. What it tells you: the extra labor did lift revenue, but not in proportion to the extra headcount. Flexible scheduling, such as using part-time staff for the peak only instead of paying overtime to full-timers, may well be cheaper.

## New customer analysis: did they come back after the tournament?

The World Cup 2026 brought you new customers. The central question is whether they came back in August and September. If they did, the tournament was an excellent acquisition channel. If they did not, the tournament was an isolated event that built no loyalty.

**First, identify the new customers**:
This requires a system that recognises the customer (a loyalty programme, an app, WhatsApp sign-up, email). If you do not have one, the tournament was the moment to start collecting the data, for instance by asking the customer for a WhatsApp number so you can send the electronic invoice.

**Second, track their return across the 60 days after the tournament**:
- Pull the list of customers whose first visit fell between 11 June and 19 July.
- Check how many of them came back a second time between 20 July and 19 September.
- That percentage is your post-season retention rate.

**Third, read the percentages**:
- **40% or higher**: excellent. The tournament built you a real customer base. Repeat the strategy.
- **25-40%**: good. There is follow-up work to do, perhaps a targeted win-back campaign after the tournament.
- **15-25%**: average. The service may not be distinctive enough to bring people back without an incentive.
- **Below 15%**: weak. The tournament was just an event, not an acquisition opportunity. Review the service, the quality and the price.

**Fourth, run a post-tournament win-back campaign**:
Send a WhatsApp message to every new customer who has not returned after 30 days: 'We have missed you! 15% off your next visit.' A campaign that simple can add 5-10 points to the retention rate.

**Fifth, find out why they did not come back**:
Call 10-20 customers at random who did not return, in a friendly rather than intrusive way. Ask: 'We noticed you have not visited since the [specific match], was your experience with us a good one?' The answers expose hidden weaknesses: long waits, exhausted staff, food quality that slipped under peak pressure.

**Lifetime value (LTV)**:
A customer who comes back 4 times a year with an average invoice of SAR 80 is worth SAR 320 a year, and × 5 years of retention that is SAR 1,600 of LTV. If CAC was SAR 75 (from the metric above), long-term ROI = 21×. That equation proves the World Cup is a profitable acquisition channel even when the immediate margin is thin, provided the customer comes back.

## Your 'next event season' plan

Everything you learned from the World Cup 2026 should be turned into a playbook for the seasons that follow. Five categories of season are waiting for you:

**1. Riyadh Season (October to March)**:
- Similar ingredients: heavy footfall, daily events, an evening peak.
- Transferable lesson: the match menu becomes a 'season menu' with seasonal items.
- Transferable lesson: SMS campaigns timed to kick-off become SMS campaigns carrying the daily offer schedule during Riyadh Season.

**2. Ramadan (February to March 2027)**:
- Similar ingredients: a night peak after iftar, a daytime lull, a dawn peak for suhoor.
- Transferable lesson: night shift scheduling becomes the same methodology for Ramadan.
- Transferable lesson: the 'match bundle' becomes the 'iftar bundle' and the 'suhoor bundle'.

**3. The Club World Cup (in Saudi Arabia and elsewhere)**:
- Very similar ingredients: fixtures and sector campaigns.
- The transfer is close to 1:1.

**4. The 2027 Asian Cup and the World Cup qualifiers**:
- The Saudi national team at the centre, which means wider and stronger campaigns.
- Transferable lesson: the 'favourite team' as a personalisation tool.

**5. The 2034 World Cup in Saudi Arabia**:
- There will be no odd-hours peak, because the fixtures run on normal Saudi time.
- But there will be enormous pressure on infrastructure, availability and staff.
- Transferable lesson: everything you learned about managing the peak, pricing, bundles and digital campaigns.

**How do you write the playbook?**
After the analysis, produce a 5-10 page document covering:
- The operating plans that worked (what you repeat).
- The plans that failed (what you avoid).
- The reference numbers (expected revenue, inventory required, labor hours, costs).
- The customers you built a database for (which you draw on next season).
- Supplier recommendations (who is reliable and who is not).

That playbook is your inheritance from the tournament. The merchant who builds one becomes an expert in season management within two or three years. The merchant who runs on instinct starts from zero every time.

## How Snad generates your post-season reports automatically

Snad turns post-season analysis from a week-long slog into two hours of considered review:

- **Income statement for a custom period**: set the dates from 11 June to 19 July 2026 and pull a full income statement with revenue, expenses and net profit. Compare it with the same period before the tournament in one click.

- **Cost center reports**: if you logged 'World Cup campaign' as a cost center, you get a standalone campaign profitability report that separates incremental revenue from incremental expenses.

- **Item sales report (ABC analysis)**: classifies your items into A (best sellers), B (middle) and C (slowest). It shows you what actually made money and what deserves your focus next season.

- **Sales by hour report**: a daily and weekly chart showing your actual peak hours, with match days compared against ordinary days.

- **New versus returning customer report**: splits customers by first visit, calculates the repeat rate, and reveals which channel produced the highest retention.

- **Supplier report**: which suppliers were late? What was the actual average lead time? Who is the most reliable supplier to favour in the seasons ahead?

- **HR report**: hours worked per employee, overtime hours, total cost, and productivity per employee (revenue per hour).

- **Slow movers report**: the items that sat in the warehouse longer than usual, flagged so you can discount them before they spoil.

- **Stock out events report**: a list of when each item ran out and how many times, with an estimate of the revenue lost.

- **Export to Excel and PDF**: to share the reports with your accountant or your partner, or to file them in next season's playbook.

The 30-day free trial lets you start tracking the tournament from day one and analyse the results in July and August on a complete system before you decide to move to a paid subscription.

## A practical summary for the analytical merchant

A one-page decision framework for the aftermath of the World Cup 2026:

**In July 2026 (the first week after the tournament):**
1. Pull an income statement for 11 June to 19 July from your accounting system.
2. Calculate incremental revenue against an equivalent period before the tournament.
3. Calculate the marketing campaign ROI = incremental revenue ÷ campaign cost.

**In July 2026 (the second week):**
4. Analyse inventory: the items that ran out repeatedly (raise the threshold) and the ones that piled up (lower it).
5. Analyse labor hours: was revenue per labor hour higher or lower?
6. Write a 5-10 page playbook.

**In August and September 2026:**
7. Track the return of new customers across 60 days.
8. Launch a simple win-back campaign for those who have not returned.
9. Call 10-20 customers who did not come back to uncover why.

**In October 2026 (before Riyadh Season):**
10. Review the playbook and adapt it for Riyadh Season. Repeat the exercise after every season.

**The golden rule**: if you do not set aside a week for post-tournament analysis, you are giving up the greatest advantage you spent 39 days of double shifts earning. Analysis is not a luxury. It is what separates the merchant who repeats the same mistakes every four years from the merchant who builds a compounding edge that peaks at the 2034 World Cup on Saudi soil.

## Frequently asked questions

### When should I start the post-tournament analysis?

In the week immediately after the tournament ends (20-26 July 2026). Memory is fresh, the data is recent, and your ability to connect cause and effect is at its sharpest. Delaying the analysis by a month costs you accuracy of understanding. Set aside an hour a day for five days: 5 hours in total is enough for a deep review.

### How long does a full analysis take?

On a modern accounting system such as Snad, 5-8 hours in total spread across a week. Doing it without a system (manual Excel) can take 20-40 hours. The difference is not only time but accuracy: automated reports do not make arithmetic errors, and manual addition does.

### What is the minimum data needed for reliable results?

Three essentials: (1) a daily sales log with a timestamp on every invoice; (2) an expense log broken down by category (marketing, payroll, purchases and so on); (3) an inventory log covering movements in and out. This data arrives automatically from a point of sale (POS) system integrated with accounting. Without all three, the analysis is guesswork.

### How do I separate the tournament's effect from other seasonal factors?

Separating it 100% is difficult, but a good estimate is possible: compare tournament-period revenue with the same period a year earlier (June to July 2025) if you have the data. Most of the difference can be attributed to the tournament, after subtracting normal growth (10-15% of natural annual growth, for example). If year-earlier data is not available, use the average of the 3-6 months before the tournament as your baseline.

### Do I need a data analyst to run the analysis?

For the basic questions (incremental revenue, AOV, ROI, repeat rate), no. Any merchant can run Snad's reports and follow the numbers themselves. For advanced work (best-case profitability modelling, price sensitivity analysis) you may need an analyst or an operations manager with an accounting background. The important thing is to start with the basic numbers now: plenty of merchants postpone while waiting for the 'perfect expert' and lose the chance to learn entirely.

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