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
Organizers often know how many tickets were sold but not how many people actually came, which channel brought them or why free registrants stayed home. We take your Eventbrite, Luma, Zoom or ticketing export, calculate registration pace, show-up rate by ticket type and source, and compare sessions or past editions. You get numbers for the sponsor report and clear lessons for the next event.
What is included
- What you getA report with registration pace by week, show-up rate by ticket type and source, session attendance, comparisons with past editions and recommendations for promotion and reminders. 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).
- Registration paceWeek by week up to the event
- Show-up rateBy ticket type, price and source
- Session attendanceWhich talks and workshops drew people
- Edition comparisonThis year against past events
- Sponsor figuresClean numbers ready for the report
How it works
- 1BriefYou attach registrations and check-ins
- 2AnalysisWe measure pace, sources and show-ups
- 3ReportYou get findings and next-time lessons
What we need from you
The registration and check-in export with dates, ticket type, source or promo code and attendance status, without names or emails, plus the event dates and what you changed from the last edition.
We will ask you:
- Was the event online, in person or hybrid?
- Which platform did you use for registration?
- Were tickets free, paid or both?
- Who will see the results?
Compare packages
| Packages | BasicUp to 100 registrations$15 | StandardUp to 300 registrations$35 | PremiumUp to 1,000 registrations$69 |
|---|---|---|---|
| Deadline | 1 day | 2 days | 4 days |
| Revisions | 1 | 2 | 3 |
| Registrations | up to 100 | up to 300 | up to 1,000 |
| Summary tables | up to 3 | up to 6 | up to 10 |
| Past editions compared | No | 1 | up to 3 |
| 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
Why do free events have such low attendance?
Free registrations commit people to nothing, so drop-off is often high. The report shows your actual rate by source and the reminders that seem to help.
Can you analyze feedback survey results too?
Yes, attach the survey export as well. Premium links ratings to sessions and ticket types.
We have no check-in data. Is it still useful?
Yes for registration pace and sources. Without check-ins we cannot measure show-up rate, and the report says so.