Market-level data is where most Airbnb investment decisions start. A good analytics tool can help you compare markets, read seasonal patterns, and set realistic revenue expectations before you underwrite a single property. The catch is that different platforms report noticeably different numbers for the same city, and knowing why is half the battle.
That gap is exactly what this comparison measures. In July 2026 we pulled the same market, Fort Lauderdale, Florida, from five analytics platforms and put their published numbers side by side. We scored every tool across five categories:
- Data Coverage & Sources
- Market-Level Metrics
- ZIP & Neighborhood Analysis
- Data Freshness
- Pricing & Free Access
Here is the at-a-glance view, followed by detailed sections on each tool and a full breakdown of why their numbers disagree.
Summary Comparison Table
| Tool | Data Coverage & Sources | ZIP / Neighborhood Analysis | Data Freshness | Pricing | Fort Lauderdale Revenue (per own report) |
|---|---|---|---|---|---|
| Chalet | US, 500+ markets, Airbnb, full-time operator focus | Yes, free | Monthly refresh | Free | $51,140 (active full-time avg) |
| AirDNA | Global, 10M+ listings, Airbnb + Vrbo + Booking | Paid (submarkets) | Varies by metric, daily to monthly | Free tier; paid from $99/mo | $33,000 |
| Airbtics | Global, 5M+ listings, Airbnb only | Paid | Daily claim; public pages lag | Free tier; paid $29 to $109/mo | $49,551 (median, older window) |
| Rabbu | US, own STR database | Yes, free ZIP pages | Weekly refresh | Free | $47,773 (seasonalized) |
| AirROI | Global, 20M+ properties claimed | No ZIP grouping | Ongoing, 2026 dataset | Free | $46,076 |
How We Compared Each Tool
Every platform in this review was checked against the same benchmark market, Fort Lauderdale, Florida, using each tool’s publicly accessible data as of July 2026. Where a tool’s public page reflects an older data window, we say so, because comparing a mid-2025 snapshot to a mid-2026 one is itself a source of disagreement.
Fort Lauderdale makes a good test case. It is a large, seasonal, competitive market with a wide mix of full-time and part-time listings, which stresses exactly the methodology choices that separate these tools. For reference, Chalet’s Fort Lauderdale dashboard tracks 3,576 listings and reports a $51,140 average annual revenue for active full-time operators at 59% occupancy and a $236 ADR. Chalet’s revenue figure is ADR multiplied by occupancy across the trailing twelve months, and the full approach is documented on the methodology page.
One market is one data point, and no single pull settles which platform is most accurate. What it does reveal, clearly, is how each tool defines its inventory, its averages, and its time windows. Those definitions matter more than most investors realize.
Chalet
Pricing: Free
Chalet’s Airbnb analytics covers more than 500 US markets and takes a deliberately narrow view of inventory. Rather than blending every listing into one average, it separates active full-time operators from part-time and dormant listings, then reports both. The reasoning is simple. If you plan to run a property full time, the earnings of other full-time operators are your realistic benchmark, and a blended average understates them.
The Fort Lauderdale numbers show how wide that gap gets:
- Listings tracked: 3,576, of which 1,196 are active full-time
- Average annual revenue: $51,140 for active full-time operators, $39,157 across all listings
- Top-quartile operators: $92,443
- Occupancy: 59%
- Average daily rate: $236
Beyond the headline metrics, each free market dashboard includes ZIP-level and neighborhood analytics, revenue by bedroom count, monthly seasonality curves, guest origin data, Zillow home values with gross yield, and a regulation summary for the market. The data refreshes monthly, and the analytics connect directly to Chalet’s revenue calculator and its agent and lender matching, so market research can flow into underwriting a specific deal without switching platforms.
The tradeoff is scope. Chalet covers US markets only and tracks Airbnb rather than Vrbo, so investors researching international markets or multi-channel inventory will need a second source. For US-focused market research at the ZIP level, it is difficult to beat free.
AirDNA
Pricing: Free account for headline metrics; paid plans from $99/mo
AirDNA remains the biggest name in STR data, tracking more than 10 million listings across Airbnb, Vrbo, and Booking.com in 120,000+ markets worldwide. Its data comes from large-scale scraping supplemented by property manager partnerships, and its proprietary Market Score distills each market into a 0-to-100 investability grade.
One thing has changed since our 2025 review. AirDNA’s public market pages have improved. Occupancy, ADR, and revenue for Fort Lauderdale are now visible without a subscription, which was not the case a year ago. Booking lead time, length of stay, submarket detail, and historical trends still require a paid plan.
What its public Fort Lauderdale page reports:
- Listings tracked: 10,693 across Airbnb and Vrbo, including private rooms and part-time inventory
- Average annual revenue: $33,000
- Occupancy: 55%
- Average daily rate: $320
- Market Score: 73 out of 100
That $33,000 figure looks jarring next to the other tools until you check the inventory definition. AirDNA counts nearly three times as many listings as anyone else in this comparison, and only 58% of them are available more than 270 nights a year. Averaging in thousands of part-time and private-room listings pulls the revenue figure down sharply. User sentiment reflects a similar split. AirDNA holds a strong 4.8 Trustpilot rating and hosts widely treat it as the default starting point, with one Reddit host estimating its projections land “within 5-10% difference from actuals,” while the recurring complaints target price and how much sits behind the subscription. AirDNA earns its place for breadth, multi-channel coverage, and international research, with the caveat that its blended averages need interpretation.
Airbtics
Pricing: Free basic tier; paid plans $29 to $109/mo
Airbtics tracks over 5 million Airbnb listings worldwide (Airbnb only, no Vrbo) and positions itself as the affordable alternative for deep-dive market intelligence. Its dashboards emphasize medians rather than averages, offer roughly three years of history at daily granularity, and include regulation scores and submarket grades on paid plans.
What its public Fort Lauderdale page reports, from a September 2024 to August 2025 window:
- Listings tracked: 4,351
- Median annual revenue: $49,551
- Median occupancy: 68%
- Average daily rate: $212
- Typical booked nights: 248 per year
Two methodology choices shape those numbers. Medians soften the influence of outlier listings at both ends, which is why Airbtics consistently shows the highest occupancy of the group. And its public market pages reflect an older data window than the other tools in this comparison, so treat its figures as a stabilized historical view rather than a current-market read. User feedback is largely positive on data depth, with a roughly 4.4 Trustpilot score, though several reviewers describe unclear trial terms and paid tiers that add up. One three-star reviewer reported spending over $500 and still hitting feature walls. Airbtics fits investors who want median-based, long-history analysis or coverage of international markets, and who are comfortable paying for the deeper layers.
Rabbu
Pricing: Free
Rabbu grew out of a property management business into a free, US-only data platform with a distinctive angle. Its market figures are seasonalized projections. Rather than averaging the trailing twelve months, it takes the market’s current real-time pace and shapes it through historical month-by-month seasonal patterns to project a full-year figure. Market pages are public with no account, refresh weekly, and pair with free ZIP-code pages and an Airbnbs-for-sale marketplace.
What its public Fort Lauderdale page reports, as of March 2026:
- Listings tracked: 3,200+
- Seasonalized average annual revenue: $47,773
- Occupancy: 53%
- Average daily rate: $316
- Rabbu ROI score: 57 out of 100
Tracking Rabbu across our reviews has produced one consistent observation. Its figures move more than other platforms’ as its methodology and the market’s current pace shift. Our 2025 pull showed 37% occupancy for this market, while the current page shows 53%. That is partly the seasonalized approach doing its job and partly a reason to re-check the page close to any decision. Public review volume remains thin, and Reddit sentiment is mixed, with some hosts calling it a useful free option and one describing its estimate for their area as roughly 50% understated. Rabbu is a solid free screen for US markets, best cross-checked against a trailing-twelve-month source.
AirROI
Pricing: Free
AirROI is the newest entrant in this group and shares Chalet’s free-access philosophy. It claims the largest dataset of any tool here, over 20 million properties with 15+ years of history, and leans heavily on AI/ML positioning. Its free market reports are genuinely rich, covering amenity revenue-impact rankings, guest origin and demographics, booking lead times, top host leaderboards, and review-score breakdowns, all without an account.
What its public Fort Lauderdale report shows, from its 2026 dataset:
- Listings tracked: 3,441
- Average annual revenue: $46,076
- Occupancy: 44.7%
- Average daily rate: $365
- Revenue per available night: $159
AirROI’s profile is high ADR with low occupancy, a combination that suggests its inventory skews toward premium listings or that its occupancy math treats availability differently than the others. Its reports are city-level only, with no ZIP or neighborhood grouping, which limits its use for pinpointing where in a market to buy. Early user feedback is positive but sparse, consistent with a young product. AirROI works well as a free second opinion with unusually rich contextual data, particularly on amenities and guest profiles.
Fort Lauderdale, Five Ways: The Full Numbers
Here is every platform’s published read on the same market, side by side. Pull dates and windows are noted because they are part of the story.
| Metric | Chalet | AirDNA | Airbtics | Rabbu | AirROI |
|---|---|---|---|---|---|
| Listings tracked | 3,576 (1,196 active full-time) | 10,693 | 4,351 | 3,200+ | 3,441 |
| Annual revenue | $51,140 (active full-time avg) | $33,000 (avg) | $49,551 (median) | $47,773 (seasonalized avg) | $46,076 (avg) |
| Occupancy | 59% | 55% | 68% (median) | 53% | 44.7% |
| ADR | $236 | $320 | $212 | $316 | $365 |
| ZIP/neighborhood data | Yes, free | Paid | Paid | Yes, free | No |
| Data window | Trailing 12 mo (Jul 2026) | Trailing 12 mo | Sep 2024 to Aug 2025 | Seasonalized (Mar 2026) | 2026 dataset |
| Pricing | Free | Free tier; $99+/mo | Free tier; $29 to $109/mo | Free | Free |
Why the Numbers Don’t Match (and What That Tells You)
Five platforms, one city, and annual revenue figures spanning $33,000 to $51,140. None of these tools is lying. They are answering subtly different questions.
Inventory definition explains the biggest gap. AirDNA counts 10,693 listings because it includes Vrbo, private rooms, and thousands of part-time listings, and blending part-timers into an average drags revenue down. Chalet counts 3,576 and then reports its headline figure on the 1,196 active full-time operators, which instead answers what committed operators actually earn. Neither number transfers to the other use case.
Averages versus medians explain the occupancy spread. Airbtics’ 68% median sits far above everyone’s averages because medians mute the many barely-booked listings at the bottom of the distribution.
Time windows and projection methods explain the rest. Rabbu projects forward from current pace through historical seasonality, Airbtics’ public pages summarize an older stabilized window, and Chalet and AirDNA summarize the trailing twelve months. In a market moving as fast as Fort Lauderdale, where Chalet’s data shows revenue per listing up sharply year over year, window choice alone can shift a revenue figure by double digits.
The practical takeaway for investors is to treat any single number as a guide, not a guarantee. Cross-checking two or three platforms reveals both the consensus and the outliers, and understanding each tool’s definitions tells you which figure fits your situation. A full-time operator should benchmark against full-time data. Someone modeling a part-time listing should not.
How to Choose Between These Airbnb Analytics Tools
Match the tool to the question you are asking. For international markets or multi-channel coverage across Airbnb and Vrbo, AirDNA has the deepest footprint, provided the subscription cost pencils for your research volume. For median-based, long-history analysis, Airbtics offers real depth at a lower price point. Rabbu delivers a fast, free, forward-looking screen for US markets, and AirROI provides a rich free second opinion with standout amenity and guest-profile context.
For US market research that goes down to the ZIP code without a paywall, and that separates full-time operator performance from the blended average, Chalet covers the full workflow from market screening through underwriting. And once a market clears your bar, the next step is usually a conversation with someone who knows it street by street. Chalet can match you with a vetted STR agent in any of its 500+ markets at no cost.
Disclaimer: Comparisons reflect each platform’s publicly available data as pulled in July 2026, with older data windows noted where applicable. Figures, features, and pricing may change and may not reflect current offerings. This content is informational only and is not investment, legal, or tax advice.
