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Last week we re-opened the analytically important issue of Hotel Classification. In that article we explained how Chain Scale categories are not specific enough for hotel performance analysis. In this article we share the results of a major analysis and classification of more than 60,000 hotels, and demonstrate how an analytical “Booker’s Eye View” of the market leads to a better understanding of hotel classes, brands and markets.
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A few months ago we published an article about the way that the industry categorizes hotels for the purpose of hotel performance analysis. In it we argued that our industry depends too heavily on “top-down” forms of classification, like chain scale. Specifically, broad categorizations like “Upscale” and “Mid-Market” fail to account for inconsistency within brands; and fail to provide useful insight into the choices that bookers are faced with in a competitive and diverse hotel marketplace.
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It’s always encouraging to find kindred spirits. This is particularly true when industry commentators swim against the tide with controversial opinions that you also hold. Last week we were delighted to read an excellent account of this year’s Lodging Industry Conference, provided by the hotel industry’s “Dr Doom”, Joel Ross, founder of Citadel Realty Advisors.
The article, which can be accessed here, is a must-read for anybody who follows hotel industry performance. It voices a mixture of skepticism and amazement at the forecasts provided by various industry “data people” at the event. The presentations apparently found consensus on the following view: because July has been so wonderful for the industry, the outlook for 2012 looks rosy.
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This month several articles have been published about the quality and relevancy of User-Generated Hotel Reviews. Reviews are a hot industry topic right now, but opinion still seems to be divided on the validity of review data. This point was nicely illustrated by two separate articles published earlier this month that represented opposing views on the matter.
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In our last two blog posts we introduced the idea of analyzing hotel attributes to define comp sets. We suggested that the industry’s exclusive focus on historical performance biases analysis in some unhelpful ways. In particular, it limits our ability to identify true performance opportunities.
Today the industry reports exhaustively on the performance that a property achieved relative to the comp set that it selected for comparison. But to identify true opportunities, we must have a notion of the performance a hotel should expect to get. This is a blind spot in current industry metrics.
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Next week will be an important one for the industry dialogue on competitive set selection. Readers of this blog will know that comp set selection is an issue close to our hearts, so we are looking forward to a session that will reveal some interesting insights into this important subject at a leading Revenue Management conference.
A few weeks ago we published a piece about Online Travel Agents (OTAs), and their search marketing habits. As you can see, it prompted some discussion in these pages. In that article we suggested that while search marketing strategies and their impact receive a lot of commentary, they remain under-researched by the hotel industry. We undertook to publish research based on new industry data, which we will do, starting with this post.
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Competitive Analytics for Chains and Hotel Portfolios
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Competitive Intelligence Reports for Hotel Operators
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Due Diligence Analytics for Development Decisions
Hotel Compete has a new source of data and analytical tools to support hotel development and feasibility decision-making. -
Industry Viewpoint: Hotel Reviews & Performance Analysis
Online guest review scores follow consistent and reliable patterns. Learn how this can be used in performance analysis.
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March 28, 2012 in