pricing

As revenue management technology evolves, machine learning continues but the human element is key. Let us take a look at some of these points

Hotel pricing strategy involves determining the optimal rates for different room types, packages, and ancillary services. It requires careful analysis

The key to revenue management is following data trends and using insights to set the right pricing, AI is perfectly suited to support this hotel function

We demystify the differences between Revenue Management and Price Optimization and provide actionable insider tips to boost hotel earnings

Hotels were able to improve their pricing competencies and guest satisfaction did not decrease after introducing dynamic pricing

Because of the reach of these channels and the influence they have, negative ratings and reviews have a disastrous impact on a hotel’s financials

In this discussion we change tack a little and look at possible medium to long term implications of not addressing your hotel price competitiveness

Discover how to accurately calculate and analyze your hotel’s fixed and variable costs to make informed pricing decisions, and get our free Excel tool to simplify calculations

Hoteliers can strategically use rate types to optimize revenue and occupancy levels, while guests choose the rate type that suits their plans and budget

Hotel operators should diversify their strategies rather than fixating on an elusive and overly simplified metric like price sensitivity