In most cases, your hotel pays for the visitors it gets. Whether it came from Google Ads, metasearch, or years of committed content creation, the traveler who reached your booking engine cost money to acquire. That being said, a potential guest who drops off without making a booking becomes an acquisition cost that cannot pay itself off.
These compounding abandonments can significantly hurt a hotel's profit potential. Luckily, a thorough abandonment analysis can help identify specific stages where potential guests drop off, and how a tailored recovery strategy can be designed to bring back guests who left.
This tactical guide gives you a full breakdown to identify where in your booking engine guests tend to leave without making a reservation, and an accompanying multi-channel recovery plan tailored to each type of guest drop off.
Ready to win your guests back? Book a free demo of Noovy’s state of the art hotelier tech stack and discover the future of guest recovery.
What Is Hotel Booking Abandonment?
Where Do Guests Actually Drop Off?
Calculating What Abandonment Costs A Hotel
The Recovery Sequence: Timing and Message
Preventing Abandonment Before It Happens
Abandoned Reservations: Wrap-Up
Hotel booking abandonment is what happens when a guest begins a reservation and leaves before confirming it. A potential booker may have selected dates, chosen a room, and even entered personal details, and still closed the tab. Most often, booking abandonments signify a serious intention that can be recovered by identifying and resolving the blocker.
The difficulty is in accurately identifying the denominators that lead to abandoned bookings. Published vendor rates suggest that over 80% of bookings get abandoned, but this is not because most hotels have the same problems. There are three key avenues to measure abandonment rates for a more accurate picture of the causes:
| Denominator | What it counts | Effect on the rate |
| All website visitors | Everyone who visits the hotel website, incl. people with no booking intent. | Highest dropoff rate. Most visitors were never planning to book a stay. |
| Booking engine users | People who opened the hotel's booking engine. | Middle dropoff. The most useful operational avenue. |
| Guests who began booking | People who entered details in the booking engine form. | Lowest dropoff rate. Often the one that vendors quote. |
A vendor that quotes a 70% abandonment, and an analytics tool that quotes at 85% abandonment may even be describing the same property. For that reason, identifying your main denominator is so important, so that you can benchmark and improve results accurately.
For example, browse abandonment is when a guest looked at the hotel rooms, but left before they ever opened up the booking engine. On the other hand, booking engine abandonment is when a guest went as far as opening up the booking widget, and then left. Both scenarios need separate measurement, and different tactics to resolve.
Lumping together the same tactics for very different problems leads to hotels with high abandonment rates, and no idea where the guests are dropping off.
Guests abandon hotel bookings at five identifiable points, each with a distinct symptom you can check for. Working through them in order usually locates your largest leak within an afternoon:
When calculating the cost of your hotel abandonment rate, it’s worth quantifying the results as money rather than percentages. This is because a percentage doesn’t always identify whether a problem genuinely needs to be solved.
Let’s look at a hotel booking funnel calculation example. Even with conservative numbers, the results can be surprising.
In our example, a 40-room hotel has 800 booking-engine visits per month. From these 800 booking engine visits, there is:
| Input | Value |
| Booking engine visits (p/m) | 800 |
| Abandonment rate of denominator | 78% |
| Abandoned sessions | 624 |
| Realistic recovery rate | 1.5% |
| Recovered bookings (p/m) | 9 |
| Average booking value | €280 |
| Recoverable revenue (p/m) | €2,620 |
| Recoverable revenue (p/y) | €31,400 |
Despite what seems like such an insignificant recovery rate, when measured across a specific denominator with clear intent (e.g. booking engine visitors), recovery profits can run considerably higher than expected.
When choosing your denominator, it’s also important to remember that a large share of abandoned sessions were never planning to book a stay in the first place. Price-checkers, bots, and people researching a potential trip a year ahead can all skew results.
Following a realistic recovery rate helps you get measurable results, instead of treating all abandoned bookings as a single business case.
A solid recovery sequence depends on one key step most hotels miss. Your booking engine must capture the guest contact information before the payment step. This is because most booking abandonments happen earlier. Missing this step can sever your chances of getting in contact with the potential guest.
From this stage onwards, it’s all about timing. Booking intent declines rapidly with every passing minute, and the useful window is much shorter than what most people assume. Automated guest messaging helps make sure no opportunities are wasted:
There are two other mechanics that matter in abandonment recovery, and they often go unnoticed:
In the European Union (EU), guest recovery messaging requires a lawful basis to be conducted. The answer to this depends on what kind of message a guest is being sent. There are primarily two kinds of guest messages that are sent out by hotels: transactional, or marketing oriented.
The takeaway is that a resume link and a discount are not the same category of message, even when sent to the same person. They often follow different guest data privacy laws.
The cheapest abandoned booking is the one that never happens. While it’s worth having a recovery strategy as a hotel, the best case scenario is still reducing the risk of abandonment in the first place. Here’s our simple checklist designed to help your hotel booking engine conversion rate and remove points of friction:
Recovering abandoned hotel reservations is strategy based, but it brings worthy results in return. The best recovery strategy runs on two tracks: prevention and recovery.
Reducing the risk of abandonment in the first place through transparent pricing, short forms, supported payment methods and a simple booking path can do far more to keep guests on the website, reducing the need for recovery tactics in the first place.
In any case, both strategies depend on the same thing, and that is a booking engine that can capture the right data at the right step, then act on it. That’s where Noovy comes in.
Recovering an abandoned booking is a data problem before it is a marketing problem. Noovy's booking engine is entirely built around that consideration:
Curious to know more? Book a free demo and see how Noovy's booking engine captures and recovers the bookings your site is currently losing.