Little Hotelier

NOVEMBER 6, 2023

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.

Revenue 59

Revenue Average Length of Stay Average Daily Rate Hotels 59

Little Hotelier

MARCH 25, 2024

Outlier factors: How special events and unusual occurrences have historically affected demand (e.g. bad weather, surprise events or event cancellations). Step 3: Analyse demand Generate booking demand insights around KPIs like ADR , RevPAR , lead time and average length of stay.

Forecasting 52

Forecasting Cancellation Average Length of Stay Revenue 52

SiteMinder

JUNE 12, 2024

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.

Yield Management 98

Yield Management Management Revenue Management Revenue 98

SiteMinder

JUNE 8, 2022

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. Your average daily rate. Average length of stay. Why should your hotel use forecasting?

Forecasting 52

Forecasting Revenue Average Daily Rate Average Length of Stay 52

Cloudbeds

APRIL 8, 2024

Consider offering weeknight rates, promo codes for special events, or loyalty discounts for repeat customers. These reports can shed light on booking trends, average length of stay, and guest preferences to help guide decision-making. Integration with Google Analytics.

OTA 98

OTA Average Length of Stay Upsell Revenue 98

SiteMinder

OCTOBER 10, 2023

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. Staying updated with these factors ensures that your revenue forecast is both comprehensive and accurate. Technology.

Forecasting 52

Forecasting Revenue Average Daily Rate Occupancy 52

SiteMinder

DECEMBER 4, 2023

The average booking lead time for hotels is 29.7 The average length of stay is 1.93 The average cancellation rate is 20%. Online travel agencies make up the top two revenue generating positions in 79% of major destinations. Airbnb is quickly becoming a mainstay for hotels who want to drive additional revenue.

Occupancy 59

Occupancy Hotels Average Length of Stay Revenue 59

SiteMinder

OCTOBER 20, 2022

As recently as 2016 STR measured the impact of Airbnb on hotels by impact on ADR during special events; for example, during the Boston Marathon hotel rates grew 5% year over year when unit supply on Airbnb had grown by 76%.

Average Length of Stay 52

Average Length of Stay Hotels Accommodation Management 52

Travel Media Group

APRIL 12, 2023

So the first thing that we’ve observed was that your average length of stay across the board for business travelers has actually increased, which is, which, which is great for us, you know, I mean, hotels are always striving to have a longer length of stay for, for, for transient guests.

Hospitality 98

Hospitality Travel Business Market 98

Cloudbeds

SEPTEMBER 18, 2024

Basic KPIs include average daily rate (ADR) , occupancy (OCC), revenue per available room (RevPAR), and average length of stay (ALOS). Revenue management KPIs. Examples of advanced KPIs include revenue per available room (TrevPAR) and gross operating profit per available room (GOPPAR).

Operations 40

Operations Revenue Management Occupancy Revenue 40

Cloudbeds

MARCH 20, 2023

For example, if you receive a lot of group bookings, you may decide to divide them into social (weddings, events, etc.) Analyze booking data for each segment to look for patterns such as: City of origin Booking channels Lead times Stay patterns (E.g., and corporate (meetings, conferences, etc.) Don’t overcomplicate things.

Hotel Marketing 52

Hotel Marketing Marketing Market Average Daily Rate 52

Hotelogix

MAY 9, 2025

Step 2: Analyze Guest and Booking Data Look at booking lead times, average length of stay, preferred channels, and cancellation rates to build data-driven pricing models. Demand Forecasting Use past data, seasonality, local events, and booking pace to predict when your property will experience high or low demand.

Yield Management 40

Yield Management Management Occupancy Forecasting 40