Instantly Understand How Your Property Stacks Up

In the short-term rental market, knowing how you perform relative to your competition is essential. Yet for many hosts and property managers, answering a simple question, “How am I doing compared to nearby listings?” can consume hours of manual research, spreadsheet-wrangling, and second-guessing.

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You scan booking sites, filter by bedrooms, compare photos, try to judge quality, amenities, location nuances, and guest appeal from a handful of data points. Then you repeat the process for every listing you manage, hoping the set you chose actually reflects the properties guests are considering as alternatives.

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Even after all that effort, uncertainty remains. Markets evolve constantly. New listings launch. Others disappear. Reviews change. Renovations shift your positioning. What counted as “similar” last season may already be out of date.

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What if that competitive context were built in automatically and kept current without any manual upkeep?

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That’s the idea behind Similar Listings, an automatically generated, data-driven benchmark that shows how each property compares to truly comparable listings, without manual comp-building or ongoing maintenance.

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The Hidden Cost of Manual Comparisons

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Manual comp-building isn’t just tedious, it also complicates decision-making. When benchmarks are subjective or inconsistent, every insight built on top of them becomes less reliable. Pricing adjustments may target the wrong competitors. Performance metrics lose meaning. Owner reporting becomes harder to defend.

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For operators managing multiple properties, the challenge compounds quickly. Each listing requires research, validation, and ongoing maintenance to ensure the comparison set still reflects the market. But markets move fast. New listings appear, others disappear, amenities change, and guest expectations shift.

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What starts as a simple comparison exercise can quickly turn into hours of maintenance each week, with teams rebuilding comp sets across portfolios just to keep their benchmarks relevant. And even then, the results can still vary from listing to listing, making it difficult to maintain a consistent, defensible view of performance.

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For many holiday rental managers, the biggest benefit of automated benchmarking is time.

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Manual comp-building often becomes an invisible operational task that eats into a business’s week. Researching competitors, maintaining spreadsheets, and validating comp sets across listings adds up quickly, especially as portfolios grow.

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When that work disappears, teams can redirect their attention towards activities that actually drive growth: optimising pricing strategy, improving guest experience, expanding distribution, or strengthening owner relationships.

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Instead of maintaining the data behind decisions, operators can focus on the decisions themselves.

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A System That Already Knows What “Similar” Means

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Instead of asking you to define your competitors, Beyond automatically identifies them using the same kind of structured data and modelling that powers pricing decisions across hundreds of thousands of listings worldwide.

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Each listing receives its own competitive benchmark, not a generic market average, not a static cluster, and not a manually curated list that grows stale.

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Behind the scenes, multiple dimensions are evaluated together, like proximity, size, capacity, property type, amenities, and guest experience signals. The goal isn’t just similarity on paper, it’s similarity in how properties actually compete for bookings.

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This matters because short-term rentals are not interchangeable units like hotel rooms. Every listing has its own booking behaviour, seasonality patterns, and demand profile. Treating them as identical leads to misleading comparisons and poor strategy decisions.

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Beyond was designed from the beginning around this reality: that your listing is not the market average.

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Powered by Years of Market Intelligence

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That philosophy is also reflected in the data behind the system. Since introducing dynamic pricing for short-term rentals in 2013, Beyond has been collecting and analysing performance signals across hundreds of thousands of listings in markets around the world. Over time, that data has helped refine the models used to understand how properties compete, how guests make booking decisions, and how demand evolves across different types of listings.

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This depth of historical and real-time data allows Similar Listings to move beyond surface-level comparisons. Instead of relying on a static set of manually chosen competitors, the system evaluates structured signals that reflect how guests actually shop and compare properties.

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The result is a benchmark grounded in real market behaviour, not assumptions.

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Clarity Without Changing Your Pricing Strategy

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One of the most important things to understand about Similar Listings is what it doesn’t do:

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• It doesn’t automatically match competitor prices.
• It doesn’t override your pricing settings.
• And it doesn’t change your pricing model.

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Your rates continue to be powered by Beyond’s dynamic pricing engine and your existing strategy. Similar Listings simply provides the competitive context behind the insights you see in your dashboard.

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Think of it as the market lens that helps answer questions like:

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• Are we outperforming similar properties?
• Are we priced appropriately relative to our competition?
• Which listings in our portfolio are leading the market, and which need attention?

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Without a clear benchmark, those questions are difficult to answer with confidence.

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A Smarter Way to Measure Performance

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Ultimately, Similar Listings exists to solve a foundational challenge in short-term rental revenue management: understanding performance in the right context.

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Too often, operators are left comparing their listings against broad market averages or manually selected competitors that may or may not reflect how guests actually shop. When the benchmark itself is uncertain, every insight built on top of it becomes harder to trust.

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Similar Listings changes that by automatically defining a competitive set grounded in real market behaviour. Instead of relying on static comp sets that require constant maintenance, the system continuously identifies properties that genuinely compete for the same guest. That consistent context allows operators to evaluate performance more clearly, understand where they stand in their market, and make more confident decisions about pricing and strategy.

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In a fast-moving industry where supply, demand, and guest expectations shift constantly, having the right benchmark matters as much as the data itself. Similar Listings ensures that the comparison behind your insights stays relevant, reliable, and ready to inform the decisions that drive your business forward.

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‍Generate your comps now