Airbtics Data Accuracy

At Airbtics, we guarantee industry-leading data accuracy for short-term rentals, backed by rigorous data collection and verification.

• Short-Term Rental Performance Data: We provide insights into key metrics, including:
  • Occupancy Rate: The percentage of nights a listing is booked.
  • Daily Rate (ADR): The average nightly rate charged by listings.
  • Revenue: The total earnings generated by listings.
• Primary Platform = Airbnb: Our data primarily covers Airbnb listings, ensuring comprehensive coverage of the short-term rental market.
• Global Coverage: We track over 99% of all active Airbnb listings worldwide (over 12 million listings), making Airbtics one of the most comprehensive short-term rental data sources available.

• Web scraping: We collect short-term rental data through automated web scraping, focusing primarily on Airbnb listings.
• Weekly Updates: Since 2021, we have been tracking Airbnb listings worldwide on a weekly basis, ensuring our data remains up-to-date.
• Let's be more specific.. These are the things we track.
  • Listing Details: Property attributes, descriptions, and pricing information.
  • Calendar Snapshots: We take regular snapshots of listing calendars, capturing which nights are available, booked, or blocked.
  • Example Calendar Snapshot:

• Key Challenge: Accurately distinguishing between blocked (unavailable) nights and genuinely booked nights is crucial for delivering reliable data.
• Advanced AI-Powered Classifier: Our proprietary AI classifier analyzes multiple factors to determine whether a night is booked or simply blocked by the host:
  • Booking Length: Typical stay duration for similar listings.
  • Number of Reviews: Higher review count indicates higher booking probability.
  • Daily Rate: Pricing patterns during blocked periods.
  • Booking Lead Time: How far in advance the night was marked as unavailable.
  • And many more…
• Continuous Improvement: We leverage actual booking data to continuously train and enhance our classifier, ensuring our accuracy remains industry-leading.

• Weekly Data Collection: Our system captures listing calendars every Thursday morning, ensuring we record the most up-to-date availability for the upcoming weekend (Friday and Saturday nights).
• Last-Minute Booking Limitations: Despite this, some last-minute bookings may be missed, especially those made between our snapshot and the actual booking date.
• 20% Uncertainty Factor: Based on our analysis, we estimate that around 20% of last-minute bookings may not be captured, which is reflected as a slight margin of uncertainty in our occupancy calculations.

• Industry-Leading Accuracy: Our data maintains a 96%+ accuracy rate, verified through rigorous testing and comparison with official data sources.
• Real-World Validation:
  • Platform-Wide Data Comparison: We aggregate bookings data across all Airbnb listings on a monthly basis and compare it with Airbnb's official reports, ensuring our metrics align closely with actual performance.
  • We predicted Airbnb’s Gross Booking Value (GBV) prior to its IPO in December 2020 and provided this prediction to a few financial institutions in 2020. The correlation score between our prediction and Airbnb’s actual revenue was 97%.

• Although we achieve platform-wide accuracy, our data may not always be 96% accurate at the listing level.


• In most cases (over 95%), occupancy rates and daily rates fall within a 20% range of actual values.

• You may have noticed: the more you aggregate the data, the closer it gets to the actual values. For example, when we aggregate at the platform level, our data is 96% accurate.
• When analyzing neighborhoods or market-level data, accuracy is higher because it is based on the aggregated performance of 20+ listings.
• Note that we primarily display “median (50%)” values for market and neighborhood data, rather than averages.
• When you view submarket or filtered data, pay attention to the types of listings used in the calculations. You can see these listings directly on the map.

• Better Decision-Making: By making slightly better decisions in choosing markets, neighborhoods, and property types, you can achieve a 10% increase in occupancy per year.
• Airbtics Cost: $119 per month.
• Potential Earnings: An extra $7,300/year (based on $200 per night for 36 additional booked nights).

Asking Hosts Around? It's Biased and Limited.


• If you’re lucky enough to know a few hosts in your target market, you can ask them for insights. However, these data points are often limited and biased, reflecting only their experiences.


• There may be listings that perform significantly better or worse than those hosts.
• What if you want a different property type, different amenities, or a slightly different location? These hosts' experiences may not be relevant.

Checking Calendars on Airbnb? It Lacks Seasonality.


• You can manually check a few Airbnb listings to see their availability and pricing. This can give you a rough idea of their performance.


• However, these snapshots don’t account for seasonality or long-term trends.
• Airbtics provides a complete picture with data collected over multiple years, covering seasonal fluctuations and capturing a wide range of listings.