Payment protectionDetails
- Revisions within the package are free.
- If you do not respond within 3 days of delivery, the work is accepted automatically.
The money is reserved when you pay and released only once you accept the work.
Example result
Data analysis: 9 months of bookings at a family-run guesthouse
Key numbers
| Metric | Value |
|---|---|
| Bookings (excl. cancelled) | 251 |
| Room nights sold | 689 |
| Revenue | $78,540 |
| Average rate per night | $114 |
| Cancellation rate | 11.6% (33 of 284) |
| Average stay | 2.7 nights |
Summary by channel
| Channel | Bookings | Share of revenue | Avg. rate | Commission | Net per night |
|---|---|---|---|---|---|
| Booking platforms | 142 | 54% | $109 | 15% | $93 |
| Direct (phone, email, website) | 87 | 38% | $126 | 0% | $126 |
| Local travel agent | 22 | 8% | $102 | 10% | $92 |
Direct guests pay more, stay longer (3.4 nights vs 2.3) and bring $33 more per night after commission than platform guests.
Trends and outliers
- July and August made 41% of revenue; occupancy reached 93%.
- March and April were weakest (occupancy 38%), but weekend nights still sold at 79%: the gap is midweek.
- Cancellations were 19% for platform bookings with free cancellation and 4% for direct bookings with a deposit.
- Outlier: 6 bookings in May at $45 per night. These are all one corporate group with a manual discount; they were kept in totals but flagged.
Findings
- Your most profitable guests are direct, returning guests, yet only 14% of platform guests were invited to book direct next time.
- Midweek in spring is the only real gap; weekends sell themselves.
- Free cancellation on platforms costs about 27 lost nights over 9 months.
Recommendations
- Add a "book direct" card at check-out with a 10% returning-guest rate: still $20 above platform net.
- Create a midweek spring offer (3 nights for the price of 2, Sun–Thu) for March–April.
- Switch platform listings to a non-refundable rate at 8% off alongside the flexible one.
- Track the booking channel for every guest from now on: 17 rows had no channel and were grouped as "direct".
All totals were cross-checked against the monthly sums in your sheet; the difference is $0.
Client: a 12-room guesthouse by a lake, run by two owners Data: 284 booking rows, January to September (date, room type, nights, channel, price paid, cancellation) Question asked: "Which channel and which months actually make us money, and where are we losing it?"
The client and all details are made up.
About this service
Turnover hurts most where it is hidden: one store or shift loses half its new hires in three months while the company average looks fine. We take your HR spreadsheet, calculate turnover, early leavers and headcount by month, department, manager and tenure, and set exit reasons next to the numbers. You see where people leave, how soon and what it is likely costing you.
What is included
- What you getA report with headcount and turnover by month and team, early turnover in the first 90 days, exit reasons grouped, an estimate of replacement cost and suggested actions. You get it on the order page and as a Word document, with the tables also as an Excel file (values only, no formulas or charts).
- Turnover by teamMonthly rate by department, store or manager
- Early leaversWho leaves within 90 days of hiring
- Exit reasonsGrouped into themes
- Cost estimateWhat replacing leavers roughly costs
- Next stepsWhere to look first: onboarding, pay or managers
How it works
- 1BriefYou attach the anonymized list
- 2AnalysisWe calculate turnover by team and tenure
- 3ReportYou get tables, causes and actions
What we need from you
An Excel or PDF list of hires and leavers with dates, department, position and exit reason, with names replaced by IDs, plus the period and your average hiring cost if you know it.
We will ask you:
- Which period and teams should we cover?
- How do you record exit reasons?
- What is a normal turnover level for you?
- What change are you considering?
Compare packages
| Packages | BasicUp to 100 records$15 | StandardUp to 300 records$35 | PremiumUp to 1,000 records$69 |
|---|---|---|---|
| Deadline | 1 day | 2 days | 4 days |
| Revisions | 1 | 2 | 3 |
| Employee records | up to 100 | up to 300 | up to 1,000 |
| Summary tables | up to 3 | up to 6 | up to 10 |
| Replacement cost estimate | No | Yes | By team |
| Order Basic | Order Standard | Order Premium |
Payment protection
You pay when you order, but the money is released only for accepted work.
- Fixed priceThe package price does not change after you pay.
- The money is reservedWhen you pay, the amount is only reserved. It is released to the service once you accept the work.
- Checked before deliveryEvery result goes through a quality check before it reaches you, and you see it on the order page before accepting it.
- Free revisionsAsk for changes within your brief as many times as the package allows.
- Acceptance after 3 daysIf within 3 days of delivery you neither accept the work nor ask for changes, it is accepted automatically. If you write in the order chat after delivery, the order waits; once we answer, we may start the 3 days again and will say so in the chat.
- Redo or a full refundIf the result does not match your brief and the revisions did not fix it, or the work takes more than twice its deadline, write in the order chat: we will redo the work or refund the payment in full.
Questions and answers
What about employee privacy?
Replace names with IDs and remove contact details and salaries you do not need analyzed. Department, dates and reasons are enough.
Do you compare us with other companies?
Mainly with yourself, across teams and months. General benchmarks differ by industry and country, so we mention them only as a rough reference.
Is this advice on dismissals or labour law?
No. It is an analysis of your data, not legal or HR advice. Check any change in contracts or policy with a qualified adviser.