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
Mailchimp and Klaviyo dashboards show open rates for each send, but rarely answer which subject lines, days and segments actually bring clicks and orders. We take your campaign export, compare sends side by side, separate inflated opens caused by Apple Mail privacy from real clicks and connect revenue to campaigns where your export includes it. You get a clear view of what to send more of and what to stop.
What is included
- What you getA report comparing campaigns by clicks, orders, revenue and unsubscribes, with patterns by subject line, send day and segment, and a list of tests for the next month. 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).
- Campaign rankingBest and worst sends by clicks and revenue
- Honest open ratesApple Mail inflation taken into account
- Subject line patternsLength, offers and wording that worked
- List healthUnsubscribes, bounces and spam complaints over time
- Test planWhat to try in the next sends
How it works
- 1BriefYou attach the campaign export
- 2AnalysisWe compare sends and look for patterns
- 3ReportYou get rankings, findings and tests
What we need from you
The campaign report exported from Mailchimp, Klaviyo or another email platform as Excel or CSV, the period, and which sends were promotions, newsletters or flows.
We will ask you:
- Which platform is the export from?
- Does the export include orders or revenue per campaign?
- What is the main goal of your emails?
- Which segments do you send to?
Compare packages
| Packages | BasicUp to 30 campaigns$15 | StandardUp to 100 campaigns$35 | PremiumUp to 300 campaigns$69 |
|---|---|---|---|
| Deadline | 1 day | 2 days | 4 days |
| Revisions | 1 | 2 | 3 |
| Campaigns analyzed | up to 30 | up to 100 | up to 300 |
| Summary tables | up to 3 | up to 6 | up to 10 |
| Test plan | Short | Yes | Detailed |
| 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 you treat open rates with caution?
Apple Mail privacy protection loads images for many subscribers, so opens look higher than reality. Clicks and orders are the more reliable signal.
Do you need access to my email account?
No. An export file or pasted table is enough; we never log in to your platform.
Can you write the next campaigns too?
Not in this order. Email sequences are a separate service in our catalog, and this report gives them a solid starting point.