We map the journey from Book Now click to confirmed booking so management can see where users abandon it and which channels generate more valuable demand.
Ongoing monthly management
Nikton Hospitality is a hotel marketing agency based in Zagreb. We work remotely with independent 4- and 5-star hotels, including hotels in Austria and Germany.
Onboarding means access to Google Ads, Meta, GA4 and the booking engine, an agreed goal, a monthly report and one monthly conversation.
For hotels in Austria and Germany, reports, emails and documents are in German. Calls and meetings are in English.
We work with the booking engine the hotel already uses. Before we start, we check how the engine sends data to GA4 and what needs to be fixed.
A visit to the hotel in Austria or Germany is possible by agreement.
Monthly management from €1,200 + VAT. The starting scope covers one hotel and one agreed advertising channel - Google Ads or Meta Ads. It includes campaign optimisation, performance monitoring through the existing measurement system, a monthly report and one monthly conversation.
Booking engine analytics tracks the journey from the hotel website through checking availability to a confirmed booking. It helps distinguish interest, abandonment and completed purchases, and connect bookings to their traffic source. Measurement capabilities depend on the engine, access and guests' consent choices.
The scope and fee for this service are agreed separately based on your hotel's goals, the current system and the access required.
AI illustration
Google Ads, Meta campaigns, organic traffic and direct visits can bring a large number of users to the hotel website. But clicking on Book Now is not yet a booking. Between the interest and the confirmed booking, the user must choose the dates, find the available room, understand the price and conditions, choose accommodation, enter data and complete the checkout. If the hotel only monitors web visits and final bookings, it doesn’t see what’s going on between those two moments.
Then it's not clear:
Without booking funnel analytics it is difficult to know whether to change the campaign, offer or the booking process itself. If bookings fall, the cause is not always in advertising. The problem may be:
Without data, management may mistakenly conclude that campaign budgets need to increase, even though the actual problem occurs after users reach the booking engine. Consequences include higher cost per booking, less effective use of paid and organic traffic, unclear priorities for website and booking system development, slower detection of technical issues, lost bookings for dates that need occupancy, and weaker control over direct channel revenue.
We view the booking funnel as a series of commercially important steps. A typical process includes:
Some booking engines allow more detailed tracking, and some give only part of these steps. That is why we first determine what the booking engine technically supports, what data we can reliably measure, what we can get from GA4 and GTM, what we can confirm from the booking system itself, and where there are limitations or estimates. We do not present the estimate as a directly measured result.
Management gets a clear answer to questions like:
Alongside a chart of drop-offs between steps, management receives an explanation of what each drop may mean and a recommendation for the next specific action.
There is no universal "good" booking conversion rate for each hotel. The result depends on the market, price, type of hotel, booking window, season, availability and quality of traffic.
Step 1
We review the hotel’s website, Book Now CTAs, booking engine, booking steps and available information.
Step 2
We define events, check cross-domain tracking, bookings, revenue, currency and attribution quality.
Step 3
We identify where users abandon the process, how behaviour differs by device, market and channel, and which issue has the greatest commercial priority.
Step 4
We define concrete changes, coordinate providers and developers, and monitor the impact of the improvements made.
Every direct online booking goes through the booking engine. Its effectiveness therefore directly affects the value the hotel receives from traffic it already pays for or generates organically.
If a campaign attracts users for quieter dates, booking analytics should show:
This allows for a better decision:
The aim goes beyond increasing the conversion rate. It is to increase valuable bookings and revenue for dates that matter commercially to the hotel.
The GA4 setup provides technical data collection. Booking engine analytics uses this data to answer business questions: where users give up, which channel leads to better demand, what is the value of the booking, whether there is a problem on the mobile device and what needs to be improved first. In other words, GA4 is a tool. Booking engine analytics is a way to use data to manage your results.
Yes. We work with the existing system and coordinate the booking engine provider and website developer. Tracking capabilities depend on the particular provider: some systems offer a good dataLayer and ecommerce support, while others expose only a limited dataset.
First, we determine what is technically available. We can combine hotel website events, booking engine data, GA4 data, confirmed bookings and provider reports. We clearly indicate what is directly measured, and what constitutes a partial picture or estimate. We don't invent precision that the system doesn't allow.
Much of the hotel traffic comes from mobile devices, but users may have more difficulty entering dates, viewing rooms, reading conditions, filling out forms, paying, and returning to the previous step. If mobile users give up significantly more often, the problem may be in UX, speed, technical performance, or the way the offer is presented.
Higher traffic does not automatically mean higher quality demand. Bookings can fall due to lower availability, higher prices, changing markets or audiences, irrelevant traffic, technical problems, poor mobile process, restrictive conditions, longer booking window or seasonality. Booking analytics helps distinguish the problem of traffic from the problem of the booking process.
It depends on the existing system. If the website, GA4, GTM and booking engine already have a sound implementation, initial validation can be relatively quick. If cross-domain tracking, new events, provider involvement, ecommerce data repairs, duplicate booking fixes or consent alignment are required, setup may take longer and be treated as a separate project.
No. Conversion is influenced by price, availability, hotel reputation, quality of offer, market, season, conditions, technical performance and traffic quality. We can guarantee better process visibility, clearer priorities, more credible data and expert recommendations for improvement.
In the Meneghetti project, the booking funnel is divided into measurable steps from Book Now clicks to confirmed bookings and recorded revenue.
Analytics and tracking
Four events on the booking engine and the guest's source. From them a manager sees where guests drop off: at the rate, at the details or at payment. 64% of booking pages in our check have no tag at all.
Booking engine
Guests who abandon the booking engine have already shown interest. Learn how to segment abandonment, find causes and prioritise the changes with the greatest impact.
We will review the hotel website, Book Now journey, booking engine, tracking and available booking data, identifying the main obstacles and opportunities to improve direct booking performance.
The first conversation is based on the actual booking process and the existing digital system of your hotel, without a generic sales presentation.
