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REVENUE MANAGEMENT
BEONx HQI™ Empowers Hotelatelier to Outperform Competitors with Targeted Pricing Strategy
BEONx is an intuitive, AI-powered platform that automates and simplifies revenue management for hotels, providing a holistic view of the guest journey with actionable strategies. The platform integrates all relevant data sources into one dashboard, allowing hotel revenue management teams to quickly and easily analyze information through intuitive visualizations. For Hotelatelier, BEONx provided a solution to the challenge of identifying their guests' willingness to pay for their rebranded properties in Madrid and Barcelona. The platform's Hotel Quality Index enabled the revenue management team to quantify both their own and their competitors' quality, combining this data with pricing information to make pricing decisions that aligned with guests' expectations of quality. As a result, Hotelatelier was able to correctly position their properties in the marketplace and establish the new Icon brand long-term.
Identify willingness to pay: To accurately identify guests' willingness to pay for the quality of the newly rebranded properties in Madrid and Barcelona, in order to create a sustainable base of loyal guests.
Pricing positioning: To match guests' expectations of quality with price, by analyzing Hotelatelier's new offer compared to the competition, and position the properties correctly within the marketplace from the outset.
Data-driven decision making: To empower Hotelatelier's revenue management team with deep market insights and data-driven decision-making, by utilizing BEONx's Hotel Quality Index (HQI), which is based on objective factors plus online reputation and competitor pricing.
"Including the HQI™ in the RMS decisions combines demand patterns with quality data, marking a differential value with respect to other systems that do not include this variable in their decisions. For us, it has been key to take quality into account, allowing a better analysis of pricing decisions, and a better positioning within the compset."
Beatriz Crespo
Pricing Operations Manager at Hotelatelier
"Including the HQI™ in the RMS decisions combines demand patterns with quality data, marking a differential value with respect to other systems that do not include this variable in their decisions. For us, it has been key to take quality into account, allowing a better analysis of pricing decisions, and a better positioning within the compset."
Chief Business Growth Officer in Hotelatelier Reyes Mañeru said, about their decision: "Matching guests' expectations of quality with price was perceived to be one of the keys for creating a sustainable base of loyal guests. The Hotel Quality Index, which is based on objective factors plus online reputation, allowed us to quantify not only our own quality, but also our competitors' quality. This deeper insight into the market ensures pricing decisions coincide with guests' expectations of quality. This fair price identity will be one of the cornerstones to successfully establish the ICON brand long-term"
BEONx's Hotel Quality Index (HQI) enabled Hotelatelier's revenue management team to quantify their own quality as well as their competitors' quality and combine it with competitors' pricing. This provided the team with deeper insights into the market, allowing them to correctly identify their target group's willingness to pay for the quality they offer.
By relying on the HQI to identify guests' willingness to pay, Hotelatelier was able to establish a pricing strategy in line with customer expectations. This ensured that guests' expectations of quality matched with the price, which helped to create a sustainable base of loyal guests.
Utilizing the HQI empowered Hotelatelier's revenue management team with deep market insights and data-driven decision-making. The team was able to analyze their new offer compared to the competition, understand exactly what their target group would be willing to pay for the quality they offer, and make more informed pricing decisions that were in line with customer expectations. This increased revenue management efficiency and helped to establish the ICON brand long-term.
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