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How to apply filters in AirDNA

Bronnen avatar
Written by Bronnen
Updated over a week ago

AirDNA provides extensive data to support you throughout your short-term rental journey. To make the most of these insights, applying filters is key. This ensures the information you see is tailored to your goals and interests.

We provide a wide range of filters that can be applied to both markets and individual listings. When you apply filters, all of the data on the platform will be adjusted to only show the criteria selected.

Click on Find a Market in the left side navigation panel to view all markets in the US. You can change the country you want to view from the globe icon in the top right corner of the platform.

On the Short-term Rental Markets screen, you’ll find filter options at the top of the page. You can also save and name your filters for future use, allowing you to apply them in any market without setting them up again each time. Just click the small bookmark (Save) icon next to the filter tabs to save your filter settings.

The Market Filter lets you select specific markets you want to analyze. If you already have a few markets in mind, you can enter them in the search bar to compare them side by side. You can also adjust the listing count to focus on smaller markets with fewer listings or larger, high-traffic tourist areas—depending on the type of market you're interested in exploring.

The Market Type filter lets you filter and view submarkets based on their characteristics. For example, if you're exploring beach destinations, selecting the Coastal option will show all beachside submarkets in the country you’re analyzing. This filter also lets you refine results by the number of active listings, helping you identify less saturated markets or focus on areas with a higher listing count.

The Market Score Metrics filter lets you narrow your results using the metrics within our Market Score: Investability (US markets only), Revenue Growth, Rental Demand, Seasonality, and Regulation. You can adjust the score ranges to align with your research priorities. For example, if you’re looking for markets with lower seasonality, strong investment potential, or high revenue growth, you can set the range from 75–100 to display only markets that score highly in those metrics.

Demand Drivers help you identify submarkets that attract travelers for specific reasons, such as golf, beaches, ski areas, national parks, universities, or other major attractions. Each submarket can be assigned up to three demand drivers that represent what draws visitors to that area, although some may have fewer or none. Markets are broader geographic areas made up of multiple submarkets, each with its own set of drivers.

When you apply a Demand Driver filter, results are narrowed to submarkets that match any of the drivers you select. The filter uses OR logic—so if you choose both Coastal and Arts, you’ll see submarkets that fall into either category or both. This helps you find areas where visitor demand aligns with the traveler groups you’re interested in, making it easier to compare destinations, understand local dynamics, and identify investment opportunities influenced by specific travel motivations.

The Beds/Baths filter allows you to refine your search based on the number of bedrooms, bathrooms, and guest capacity. This helps ensure the data you’re reviewing is directly relevant to the type of listing you’re researching.

The Property Types filter lets you search for entire units or private and shared rooms. You can also filter by building type, including Apartment, House, B&B, and Unique properties.

What Properties are classed as Unique Stays?

Short-term rentals are often more appealing than standard lodging because of the variety of stays available. Unique stays have become very popular, with more and more people looking for accommodation that offers an experience other than just lodging. To track the performance of these types of listings, you can filter by unique stays, helping you keep track of occupancy, ADR, and revenue for these types of properties.

Below is a list of the types of properties that fall under the category of unique stays:

  • Camper/RV

  • Farm stay

  • Tiny house

  • Campsite

  • Tent

  • Barn

  • Nature lodge

  • Boat

  • Farmhouse

  • Yurt

  • Mobile home

  • Treehouse

  • Dome house

  • Houseboat

  • Earth house

  • Ranch

  • Tipi

  • Castle

  • Bus

  • Hut

  • Shipping container

  • Island

  • Train

  • Tower

  • Other

  • Yacht

  • Lighthouse

  • Cave

  • Caravan

  • Holiday park

  • Shepherd’s hut

  • Igloo

  • Mas

  • Windmill

  • Riad

You can filter for properties that have common amenities such as AC, parking, hot tubs and pools or exclude them to compare the difference in revenue. If the amenities are left unselected, then listings with all the amenities will be displayed.

The additional amenity filters allow you to analyze properties with valuable features such as ocean/lake views, waterfront access, ski-in/ski-out, mountain views, and beach access. These filters let you compare the performance of listings with and without these amenities, helping you understand how specific attributes influence revenue and daily rates across different markets.

For example, in summer destination markets, having beach access can significantly increase your daily rate. In some urban markets, properties with pools can achieve a higher ADR because pools are less common, whereas in coastal or summer vacation markets, pools are more typical and may not offer the same competitive advantage.

What Are Price Tiers and How Do I Use Them?

We use Price Tiers to segment a market into different pricing categories. With these tiers, our markets can be broken down into the most relevant market segments based on your research.

How Do We Define Price Tiers?

Listings are categorized under a Price Tier by the number of bedrooms; Tiers are then defined by the performance of the listings' average daily rate over the last 12 months. The properties are grouped under the Price Tiers based on their performance in the ADR they achieved in that timeframe.

We have five Price Tiers: Budget, Economy, Midscale, Upscale, and Luxury.

Each Price Tier is segmented equally based on the number of listings in the market.

For example, in a market of 100 properties, each tier would be made up of 20 listings, from the lowest performing at 1 to the highest performing at 100.

Using the same example, the 100 listings ADR ranges from $100 to $1,100.

Budget properties: 20 listings with an ADR from $100 to $300

Economy properties: 20 listings with an ADR from $300 to $500

Midscale properties: 20 listings with an ADR from $500 to $700

Upscale properties: 20 listings with an ADR from $700 to $900

Luxury properties: 20 listings with an ADR from $900 to $1,100

As more properties come into the market, they will be allocated a Price Tier depending on the ADR they achieve.

You can filter listings by their star ratings. Filter within a range of 4.0 to 5.0. This is ideal if you’re only looking to analyze established, top-performing listings in the market with high ratings, and you want to remove lower-rated listings.

You can filter listings by whether they are professionally managed or not, depending on what you want to compare. If you manage your own property, you may want to focus on non-professional listings to see how your performance aligns with other self-hosted properties. If your property is managed by a company, filtering for professionally managed listings will give you a more relevant comparison group.

You can also filter by the size of a host’s portfolio—small, moderate, or large—to further refine your analysis based on how many listings a host manages.

Price Variability shows how often a property updates its nightly rates across its future calendar. We analyze all available price points for each listing and measure how many of those prices differ from one another. Listings are grouped into three categories based on how frequently their prices change: High variability indicates frequent rate adjustments, medium variability reflects occasional updates, and low variability represents listings that keep relatively consistent pricing across their calendars.

This metric helps you quickly gauge how dynamic a host’s pricing strategy is. High-variability listings are typically managed more actively and adjust rates based on demand or availability, while low-variability listings tend to maintain stable pricing with fewer changes. This filter allows you to focus on pricing behavior that best aligns with your investment goals, research needs, or competitive analysis.

Listing Channel (available in the Advanced tier and Property Manager Tool) allows you to filter listings by the platform they appear on. You can choose to view listings that are on Airbnb only, Vrbo only, or both. This is particularly useful for comparing channel-specific performance and understanding which platforms have stronger market share in the markets you’re analyzing.

Click All Filters to open the full list of available filters in the right-hand panel, then scroll through the options to find the ones you want to apply.

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