Before You Compare, Understand What You’re Comparing

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Most analytical and market comparison tools should allow you to group or select your own listings and then allow you to compare between groups. In the example below, we're comparing last year’s Revenue per Available Night (RevPAN) for a group of listings close to the water versus a group further away, making it very obvious which group has the superior RevPAN in summer.


Source: Beyond Dashboard

The first part in any good external comparison is selecting the right listings to include. At Beyond, we take a painstaking amount of time to personally customize all of our regions and b2b email list neighborhoods that end up determining comp sets. As our pricing algorithm runs off selecting the right comp sets, and not just by the similarity of the listing but its data integrity as well, it's our number one priority to optimize them.

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Furthermore, we don’t solely rely on arbitrary city/state boundaries or irrelevant telephone or zip codes; instead, we rely on machine learning combined with the human element from our team of analysts. Therefore, selecting the best comp set can be as easy as picking the market you want to assess from a drop down.

Now that we have our comp set—lets see the data!