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. This strategy aims to ensure maximum occupancy.

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 Upsell Average Length of Stay 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

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

Hotelogix

MAY 9, 2025

Better Occupancy Control: Maximize sold rooms without overbooking or rate dumping. 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.

Yield Management 40

Yield Management Management Occupancy Forecasting 40