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Recent data from CoStar shows Auckland experiencing the highest occupancy levels of the three cities, peaking at 84.1% The second highest occupancy on the books (79.1%, +25.5% With the tour already pushing the market’s daily occupancy over the 80% mark, this will be the first time Auckland will see levels this high since July.”
For example, Cloudbeds Intelligence analyzes billions of future-looking data points, including competitor rates, events, holidays, and search information, combined with a property’s own data to understand how every combination impacts profit. Why it’s important for hotels? Why it’s important for hotels?
It’s not just about how much a guest pays for a room, but also about how their entire stay can be enhanced and monetised. This includes offering tailored packages, suggesting room upgrades, promoting in-house dining experiences, and even curating special entertainment events. Our smart hotel platform helps you do exactly that.
It can help you maximise your revenue and control your occupancy, but it’s a delicate balance that relies on managing supply and demand. Some owners or managers may be also tempted to set a minimum stay for their hotel during low periods but this is risky. Here are six of the best ways to optimise your occupancy and revenue with MLOS.
By analysing past and present data, forecasting enables you to predict future outcomes and gives you the opportunity to correct past mistakes, maximise profit, and be prepared for disruptions or unforeseen events. The outcome of your forecasting should always be the ability to react to market changes, optimise occupancy, and maximise revenue.
By analysing past and present data, hotel forecasting enables you to predict future outcomes and gives you the opportunity to correct past mistakes, maximise profit, and be prepared for disruptions or unforeseen events. Occupancy rate The occupancy rate indicates the percentage of rooms occupied over a specific period.
Once your hotel has an idea of demand, you can make tweaks to your room and service prices that help maximise revenue and occupancy. Outlier factors: How special events and unusual occurrences have historically affected demand (e.g. bad weather, surprise events or event cancellations).
Hotel statistics may include occupancy rates, revenue figures, guest statistics, cancellation rates, booking channel statistics and more. Hotel occupancy will increase 2.5% Hotel average daily rate (ADR) is projected to grow by 4.9% RevPar is also expected to grow, reaching an average of $93. globally next year.
Public holidays and popular local events will also affect how much you can charge per room. These might follow the four seasons of the year, or they could be defined by school holidays, festive seasons or major local events. Market demand Most hotels see a spike in demand on weekends when compared to weekdays.
Many hoteliers question if it’s worthwhile investing in a direct booking strategy or if they can solely rely on online travel agencies (OTAs) like Airbnb, Booking.com, or Trip.com to fill occupancy. Consider offering weeknight rates, promo codes for special events, or loyalty discounts for repeat customers.
This data can then be used to make changes to improve revenue management, occupancy, guest experience, and operational efficiency. Basic KPIs include average daily rate (ADR) , occupancy (OCC), revenue per available room (RevPAR), and averagelength of stay (ALOS). Revenue management KPIs.
When demand is strong in multiple market segments, properties have more opportunities to increase occupancy and room rates. For example, if you receive a lot of group bookings, you may decide to divide them into social (weddings, events, etc.) Market segmentation plays an important role in a property’s revenue management strategy.
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