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Consider booking patterns, cancellation rates, averagelength of stay, guest preferences for room amenities or dietary restrictions, website and app metrics, competitor rates, and market trends—the list goes on.
SiteMinder’s new Hotel Booking Trends report, a hotel commerce data analysis of more than 36,000 hotels and 450+ connected booking integrations, has revealed travelers booked their trips on average eight days earlier, and canceled their bookings 17% less year-on-year in 2022, despite a 24% increase in the average daily hotel room rate.
You’ll discover: The top 12 booking channels for driving revenue Insights, advice and tips from industry experts Key trends on both a global level, and country-by-country An eye-opening analysis of how different markets compare to the global average for Average Booking Lead Time, Cancellation rates, AverageLength of Stay, and Average Daily Rate (..)
Additional data from SiteMinder’s Hotel Booking Trends indicated that the averagelength of stay is also on the rise, with 2022 recording longer stays than previous years. This was particularly true for Spain in summer, which had the longest averagestaylength in August.
SiteMinder’s new Hotel Booking Trends report, the only hotel commerce data analysis of more than 35,000 hotels and 450+ connected booking integrations, has revealed travellers booked their trips on average eight days earlier, and cancelled their bookings 17% less year-on-year in 2022, despite a 24% increase in the average daily hotel room rate.
We help deliver bookings with characteristics close to the benefits of a direct booking such as access to direct guest communications, ability to use your own cancellation policies, being the merchant of record and more while giving you access to millions of new guests. Partnership Briefly describe what your company does.
Cancellation data: How types of guests and times of year affect cancellation and no-show rates. bad weather, surprise events or event cancellations). Work to identify opportunities and understand why issues occur, such as the reason behind cancellations and no-shows.
For example, Little Hotelier lets you generate reports for: Average occupancy rate Averagelength of stayAverage lead time Average revenue per booking Revenue per available room Average daily rate Dollar value of cancelled reservations You can also get a detailed report of your revenue, check-ins, extras, and payments for any date range.
Manage no-shows and cancellations No-shows and late cancellations can be damaging to your revenue optimisation efforts, so you need to craft a fair policy, ensure all guests understand it, then enforce it to the letter. Offer guests a discount if they refer friends and family to your hotel.
Hotel statistics may include occupancy rates, revenue figures, guest statistics, cancellation rates, booking channel statistics and more. The average booking lead time for hotels is 29.7 The averagelength of stay is 1.93 The averagecancellation rate is 20%.
It’s driving a longer averagelength of stay and a higher ADR, driving, on average, $22,000 in revenue,” he said. In instances of misalignment, the tool reconciles those stays so the appropriate commission is charged. Wyndham also debuted its new OTA reconciliation tool.
This can involve overbooking strategies to account for last-minute cancellations or no-shows. Overbooking Strategy : Intentionally accepting more reservations than available rooms, anticipating that a certain percentage of guests will cancel or not show up. This helps in tailoring specific offers or rates to different guest segments.
67% of families say that they now check cancellation policies when making travel arrangements and 47% say they now buy travel insurance. 42% of Thai guests are ‘very supportive’ of their personal data being used to better their stay. Tourists spend an average of 167 USD per day in Thailand. Learn more about the report here.
Due to its longer averagelength of stay and diverse global customer base that is looking for more home-like accommodations, hotels are able to leverage Airbnb for distribution: simply by positioning larger or multi-bedroom room types, perhaps with kitchens or other amenities, to an audience that may previously not have landed on their own website.
Analyze booking data for each segment to look for patterns such as: City of origin Booking channels Lead times Stay patterns (E.g., arrival and departure days, averagelength of stay) Preferred room types Average daily rate and revenue per booking Cancellation rates Identify your most valuable market segments.
Step 2: Analyze Guest and Booking Data Look at booking lead times, averagelength of stay, preferred channels, and cancellation rates to build data-driven pricing models. Offer value-adds or flexible cancellation to boost occupancy without cutting rates. Midweek corporate lull? Festive seasons or long weekends?
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