Analytics reportData Analysis

Website traffic report from your Google Analytics export

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  • If you do not respond within 3 days of delivery, the work is accepted automatically.
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Website traffic report from your Google Analytics export

Example result

Example for the Standard package

Data analysis: 9 months of bookings at a family-run guesthouse

Key numbers

MetricValue
Bookings (excl. cancelled)251
Room nights sold689
Revenue$78,540
Average rate per night$114
Cancellation rate11.6% (33 of 284)
Average stay2.7 nights

Summary by channel

ChannelBookingsShare of revenueAvg. rateCommissionNet per night
Booking platforms14254%$10915%$93
Direct (phone, email, website)8738%$1260%$126
Local travel agent228%$10210%$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

  1. Your most profitable guests are direct, returning guests, yet only 14% of platform guests were invited to book direct next time.
  2. Midweek in spring is the only real gap; weekends sell themselves.
  3. Free cancellation on platforms costs about 27 lost nights over 9 months.

Recommendations

  1. Add a "book direct" card at check-out with a 10% returning-guest rate: still $20 above platform net.
  2. Create a midweek spring offer (3 nights for the price of 2, Sun–Thu) for March–April.
  3. Switch platform listings to a non-refundable rate at 8% off alongside the flexible one.
  4. 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

Google Analytics 4 has plenty of reports, but few owners have time to read them and turn them into decisions. From the reports you export, we show where visitors come from, which landing pages hold them and lead to key events such as sign-ups or purchases, and what changed against the previous period. You get a short explanation of what is working, what is leaking and what to try next.

What is included

  • What you getA traffic report with channels, landing pages, engagement and key events, period-over-period changes, findings and recommendations, as formatted text with tables on the order page. You also get it as a Word (.docx) report with the tables in Excel (.xlsx).
  • ChannelsOrganic, paid, social, referral, direct
  • Landing pagesWhich pages hold and convert
  • Key eventsSign-ups, leads, purchases
  • Period comparisonWhat grew and what fell
  • Next stepsPages and channels to work on

How it works

  1. 1
    BriefYou paste or attach or screenshot the reports
  2. 2
    AnalysisWe compare channels, pages and periods
  3. 3
    ReportYou get findings and next steps

What we need from you

GA4 reports downloaded as CSV and pasted as text, or screenshots of them, for two comparable periods, plus what your key events mean for the business. Documents can also be attached as PDF, Word or Excel files.

We will ask you:

  • What is the website and what counts as a result?
  • Which periods should we compare?
  • Did anything change on the site or in marketing?
  • Which question matters most to you?

Compare packages

PackagesBasicUp to 100 rows$15StandardUp to 300 rows$35PremiumUp to 1,000 rows$69
Deadline1 day2 days4 days
Revisions123
Report rowsup to 100up to 300up to 1,000
Summary tablesup to 3up to 6up to 10
RecommendationsShortYesDetailed
Order BasicOrder StandardOrder 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.
How it works →

Questions and answers

Can you log in to our Google Analytics?

No, we do not access client accounts. In any GA4 report use Share this report, then Download File as CSV, and paste or attach the text.

Do you set up tracking?

No, we analyze the data you already have. If key events look wrong, the report points it out.

Why do GA4 numbers differ from my ad platforms?

Each tool counts visits and conversions its own way. We compare trends within GA4 rather than matching totals across tools.

Packages
Order · $35· 2 days