analytics

Hotel Competitive Set Reassessment for a Stronger Recovery

In order to define, or even redefine, your hotel’s competitive set, here are some do’s and don’ts to help ensure a strong, competitive recovery ahead

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Building a Comp Set – Best Practices

Without a comp set, and the marketplace intel that comes along with it, you’re left guessing as to where you can improve the performance of your property

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The 7 Analytics Data Points Hotels Need to Look at Right Now

If you wait until the month ends to review your analytics data, you will be missing out on exactly what consumers are looking for right now

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Adopting a Smart Data Mindset in a World of Big Data

To succeed, companies should have an automation environment with reliable historian data. Then, they need to adapt their big data to a form amenable to AI

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Time to Bring Advanced Analytics Into The Strategy Room – Here’s Why.

From marketing and pricing to customer service, advanced analytics is now central to many corporate functions. However, that cannot be said for strategy

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Five Things to Know about Google Analytics 4

By now, many of you have heard that Google is rolling out a new update for their analytics product, Google Analytics. NB: This is an article from gcommerce Dubbed “GA4”, […]

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Harnessing Data and AI: Five Insights From Leaders at The Frontier

Since the universe of data is so broad, service providers are carving out specialized niches in which they refine a variety of complex and even raw sources

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Top 7 Google Ranking Factors You Need to Know in 2021

Quick trivia question: How many ranking factors does Google take into account when deciding where to position your site’s content in search results?

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The 3 Most Important Google Analytics Goals for Hotel Websites

Goals should not be overlooked as a key part of your Google Analytics data and website analysis. However, don’t fall into the “the more, the merrier” trap

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Measuring Hotel Marketing Success: Where SEO Performance Meets STR

Despite floods of data available to a hotel, the familiarity and clarity of each metric’s value and understanding how to positively impact results is low

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