Remove Average Length of Stay Remove Events Remove Upsell
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How decision intelligence unlocks hotel data for better insights

Cloudbeds

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. DI can also be more proactive and suggest upsells tailored to guest profiles and booking patterns.

Upsell 105
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What is a booking engine? How to increase profitability and direct bookings

Cloudbeds

It can be customized to fit your brand, cater to international audiences with multi-language and currency options, and offer add-ons or upsells to help you increase revenue. Upsells and add-ons. Consider offering weeknight rates, promo codes for special events, or loyalty discounts for repeat customers.

OTA 98
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Hotel revenue optimisation strategies for small hotels

Little Hotelier

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. Upselling and cross-selling Grab upselling and cross-selling opportunities with both hands.

Revenue 59
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What is Yield Management: Guide for Hotels

SiteMinder

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.

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The role of data analytics in optimizing hotel operations

Cloudbeds

Basic KPIs include average daily rate (ADR) , occupancy (OCC), revenue per available room (RevPAR), and average length of stay (ALOS). Managers can analyze revenue data to find ways to increase guest spend through menu engineering, upselling, and promotions. Revenue management KPIs. Food & beverage KPIs.

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Sell Smarter in 2025 with Hotel Yield Management

Hotelogix

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.