Calculate Revenue
Research Markets
Find For Sale Properties
Compare My Listing
STR Revenue Calculator
Custom Comp Sets
Submarket Insights
Custom Search Filters
Rate Recommendations
Performance Benchmarking
Competitor Comparison
Property-level performance data
Tourism Insights
Real Estate Investment Analytics
About Us
Sales
Support
PressThe AirDNA Data Model 5.0
Our most accurate model yet
How we collect our data
Analyzed Data
- We analyze 100% of listings on Airbnb, VRBO, and Booking.com every single day, collecting data on daily pricing, calendar availability (including reviews), and host information.
- Our matching sub-model identifies properties listed across multiple platforms, eliminating duplicates and ensuring clean, accurate counts.
- Our reservation algorithm distinguishes guest bookings from host-blocked days, so occupancy reflects what’s actually being booked, not just what’s unavailable.
10+ Years of Data Innovation
2025
Model 5.0
Five distinct sub-models–including new matching and reservation algorithms–deliver stronger anomaly detection and 2x accuracy for mid- and long-term stays
2023
Model 4.0
Price model updated to reflect Airbnb’s shift to require date selection in order to see pricing
2019
Model 3.0
Rebuilt processing logic in response to major Airbnb API changes
2018
Model 2.0
Introduced Vrbo and cross-platform matching
2015
Model 1.0
Launched the industry’s first STR reservation model
The five sub-models behind 5.0
Each sub-model performs a specific task, working together to deliver accurate and agile insights.
Analyzation
Decides the most accurate metrics daily
Matching
Removes duplicate data
Reservation
Detects true bookings vs. blocked days