YouTube video thumbnail of conversation SSP Partner Marc Fleischer about hotel sustainability and how hard ti is to implement

We Talk About Hotel Sustainability But Real Change Is Not Easy

Marc is perfectly placed to talk about the focus on sustainability, it’s impact on hotel engineering teams and their value to implementing effective practices

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Simple Ways to Enhance Guest Experiences

By focusing on pre-arrival engagement, personalization, empathy, and exceptional service, you’re elevating guest experiences and building loyal customers

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Spa Revenue Management: The Art of Pricing Optimization

There are a number of pricing levers including dynamic, real time, advance, and last-minute pricing strategies that can be used to build your spa revenue

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How to Set Seasonal Pricing to Maximize Hotel Revenue

It’s about familiarity with occupancy and its relationship with revenue. If you find that sweet spot, you can maximize revenue and stay profitable

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4 forms of light reflecting evolution in the same way revenue management has evolved from purely to intuition to data driven decision making

Revenue Management Evolution: From Intuition to Data Driven Decisions

Clever hoteliers invest in technology whilst mentoring their valuable team members to allow them to grow and expand their revenue knowledge

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10 Activities for Planning Forward Your Hotel Autumn Campaign

By starting your Autumn Campaign plans now, you’ll be well ahead come 1st August, when your full focus can turn to your Winter Campaigns

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Mastering Hotel OTAs: 8 Ways to Overcome Pain Points

While some unique properties can thrive by cutting out third parties and going direct, most hotels rely on OTAs, especially during the low season

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Revenue Managers are Superheroes

The primary role of every revenue manager is to perform analyses, provide recommendations, develop strategies, or respond to ad-hoc requests

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man standing in front of calculations and algorithms reflecting the need to unlock efficiency and revenue utilising deep q learning with batch constraints

Unlocking Efficiency and Revenue: Deep Q-Learning

In revenue management, the search for optimal pricing strategies is perpetual. Traditional supervised learning models have limitations, especially when historical data is sparse

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city skyline with offices and multiple hotels reflecting the need for hotel owner operators to get to grips with revenue management

Revenue Management From The Hotel Owner/Operator Perspective

There are many benefits of implementing a data-based revenue management practice at a property, especially for the owners/operators

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