The All-New AirDNA Walkthrough (2023)

The all-new AirDNA walkthrough 2023 update represents the biggest overhaul in the platform's history — and for serious short-term rental investors, understanding how to use the new interface can mean the difference between accurate deal analysis and costly guesswork.

AirDNA has long been one of the most critical data tools in an STR investor's arsenal, and the redesigned platform makes it significantly more powerful.

Watch the full video above or keep reading for the complete breakdown.

What Changed in the New AirDNA Interface

The single biggest structural change in the all-new AirDNA walkthrough update is how subscriptions work. Previously, investors had to purchase access to each individual market separately — if you wanted data on Hilton Head, Asheville, and the Smoky Mountains, you were paying for three separate markets.

That model is gone. Now, any AirDNA subscription gives you access to the entire world's data. The different plan tiers determine how deep your access goes — the enterprise tier unlocks the full suite of features — but the days of nickel-and-diming per market are over.

For investors who analyze multiple markets, this alone is a significant cost and workflow improvement.

The visual layout has also been completely overhauled. Everything is more organized, more filterable, and more actionable than the old interface. Some features moved to less obvious locations (more on the percentile data below), but once you know where to look, the new UI is genuinely faster to work with.

Reading the Market Overview Dashboard

When you navigate into a specific market — say, Hilton Head Island — the first thing you see is the market overall performance panel. This gives you high-level stats at a glance: total active listings, average occupancy rate, average daily rate, and estimated revenue ranges.

One useful new addition is the automatic breakdown by sub-markets and zip codes. Hilton Head, for example, splits into two distinct sub-markets. The revenue gap between these zip codes is significant, and the new interface surfaces that immediately rather than requiring you to dig for it.

From the market performance tab, you can also filter by:

• Listing type — house, apartment, B&B, unique stays
• Minimum night stays — filter out properties with restrictive minimums
• Cancellation policies — understand what's standard in the market
• Amenities — see what features the top performers have in common
• Property managers — identify who's operating in the area

The historical data view has been extended as well. You can now chart occupancy, revenue, and daily rates going back five full years. Seeing how a market performed through 2020, recovered in 2021, and has trended since then gives investors crucial context that a single trailing-twelve-months snapshot simply can't provide.

Filtering and Sorting Active Listings

This is arguably the most practically useful new feature in the redesigned platform. In the old AirDNA, finding comparable properties meant hovering over a map, clicking individual pins, and manually building a list. It was tedious and imprecise.

Now, AirDNA gives you a sortable, filterable list of every active listing in a market. Hilton Head, for example, shows over 10,300 active listings. You can scroll through all of them or — more usefully — apply filters and sorts to zero in on exactly what you need.

Sort options include:

• Revenue — find the top earners immediately
• Occupancy rate — identify the most consistently booked properties
• Daily rate — spot premium pricing outliers
• Review count — filter for listings with more track record

The filters are just as powerful. Want to see only three-bedroom properties that sleep eight? Apply that filter and the entire list — including any charts on the market performance tab — updates to reflect only those properties. This means your revenue benchmarks are always apples-to-apples comparisons, not a blend of studios and eight-bedroom estates.

Example: Sort a filtered list of three-bedroom Hilton Head properties by revenue and you'll immediately see that some properties are pulling in $954,000 annually with a revenue potential of $975,000. Others show a potential of $1.3 million. Those outliers deserve investigation — what amenities do they have? What's their review score? How far are they from the water?

This kind of targeted comparable analysis is exactly what investors need when running a cash-on-cash analysis on a short-term rental property. Getting clean, filtered comps in seconds rather than manually hunting the map is a real workflow upgrade.

Finding the Percentile Breakdown Data

Here's one feature that took some hunting to find in the new UI — and one that's too valuable to overlook. The percentile breakdown charts are still in AirDNA, but they're no longer front and center.

According to BNB Mastery's own review of the platform after speaking directly with AirDNA's product team, this feature was almost assumed to be gone. It's not.

To access it, navigate to the revenue or occupancy chart within the market performance tab and look for the percentile toggle. Once enabled, you'll see the market broken into:

• 50th percentile — median performers (the average listing)
• 75th percentile (pink) — top 25% of performers in the market
• 90th percentile — top 10% of performers in the market

Why does this matter so much? Because knowing that the median three-bedroom in a market does $85,000/year in revenue is only half the picture.

If you're planning to invest seriously in your property, optimize your listing, use dynamic pricing, and keep your calendar well-managed, you're not going to perform at the median. You'll likely land somewhere in the 70th-80th percentile range.

Being able to see that the 75th percentile properties in your target market earn $140,000/year — versus the median's $85,000 — gives you a much more honest projection for your investment underwriting. You can also filter this percentile view by bedroom count, which makes the data even more directly comparable to your target property.

You can export all of this data as well, which opens up the ability to track trends over time in a spreadsheet. For investors running detailed models, exporting five years of percentile revenue data and analyzing trend direction is powerful input for a buy decision.

The New Properties for Sale Feature

AirDNA recently launched a properties for sale section directly within the platform. This is a genuinely exciting development for STR investors who are tired of toggling between Zillow, Realtor.com, and their AirDNA tab trying to manually cross-reference listings.

The properties for sale feature lets you view active real estate listings within your target market alongside AirDNA's revenue potential data. At a glance, you can see a property's asking price, bedroom count, and estimated annual STR revenue — all in one place.

You can refine searches by bedrooms, square footage, price range, and other parameters. It's not designed to replace a full investment analysis (more on that below), but it's an excellent first-pass filter. Instead of evaluating 50 properties manually, you can quickly rule out anything that doesn't pencil at even a basic level.

For a deeper look at how to use this specific feature to find deals, AirDNA's properties for sale walkthrough covers the functionality in more detail.

Upcoming Features Worth Watching

The current update is impressive, but some of the most exciting additions are still on the roadmap. Here are three features actively in development:

Filter by Days Available

This is one of the most anticipated improvements for serious analysts. Right now, AirDNA's revenue data can be distorted by listings that are only available part of the year — a homeowner who rents their place for 79 days won't generate the same revenue as someone running a full-time operation, but their listing still influences the market averages.

When filtering by days available launches, investors will be able to exclude part-time listings and focus exclusively on full-time STR operations. This makes revenue projections significantly more accurate. A listing showing $285,000 in revenue potential but only 158 days of availability is speculative at best.

A listing that was available 249 days and actually generated $146,000 is a real data point.

Filter by Host Unit Count

Being able to filter for properties managed by hosts with multiple units versus single-property operators adds another layer of analysis. Professional operators tend to optimize their listings more aggressively, which means filtering for multi-unit hosts gives a better benchmark for what a well-run property can achieve.

The Draw Map Tool

This is the most anticipated feature coming to AirDNA. The draw map tool will allow users to outline a custom geographic area on the map and pull data specifically for that region — regardless of how AirDNA has pre-defined its market boundaries.

Why is this so significant? Many real estate markets don't follow neat geographic lines. Consider a lake that straddles two different AirDNA market definitions — part of the lake falls under