AirDNA’s Forward Data Feed (FDF) provides property-level short-term rental insights with both static listing attributes and daily forward-looking booking data. This dataset is delivered daily and designed for customers who need high-resolution, up-to-date visibility into future reservation activity, pricing trends, and supply dynamics.
The FDF is ideal for revenue management, portfolio analytics, competitive benchmarking, and investment underwriting.
What’s Included in the Forward Data Feed?
The FDF contains two files delivered together each day:
1. Property File (Static Listing Information)
The Property File includes attributes that do not change frequently. These fields allow you to identify each property and understand its physical characteristics, host details, and listing history.
Key Metrics:
Property ID – AirDNA’s unique identifier for each listing
Host ID – Unique host identifier
Property Type – Entire home, private room, or shared room
Real Estate Type – House, apartment, villa, condo, etc.
Property Manager – Indicates if a professional management company is involved
Host Type – Categorization based on the number of listings a host manages
Listing Creation Date – First publication date on an STR platform
Latitude & Longitude – Property’s geographic coordinates
Bedroom Count, Amenities, and Other Static Attributes (varies by market)
2. Property Daily Forward File (Forward-Looking Data)
This file contains day-by-day, future-facing performance data for each listing as of the delivery date. It captures pricing, availability, and occupancy demand signals—essential for forecasting and revenue optimization.
Key Metrics:
Average Daily Rate (ADR) – Average booked nightly rate including cleaning fees
Price Tier – MarketMinder classification (Budget, Economy, Midscale, Upscale, Luxury)
Occupancy Rate (LTM) – Booked nights ÷ (Booked + Available nights)
Revenue (LTM) – Total revenue over the last twelve months
Revenue Potential – Estimate if the property were available full-time
Number of Bookings (LTM) – Combined Airbnb + Vrbo reservations
Available Days Count – Unbooked days open for reservation
Cleaning Fee – Fee applied per reservation
This file is updated every day to reflect the most recent changes in availability, price, and booking patterns across the market.
How to Use the Forward Data Feed
The Forward Data Feed enables customers to see not just how the market has performed, but how it is expected to perform based on real-time reservation activity.
Common Use Cases:
Investment & Underwriting
Evaluate the income potential of comparable listings to support smarter investment decisions. Model revenue scenarios using both recent performance and forward-looking demand data, and validate assumptions for property acquisitions or new developments.
Competitive Benchmarking
Compare performance across properties by type, size, or host category to understand how your listings stack up in the market. Gain visibility into competitor availability and pricing behavior, and assess your positioning within different price tiers.
Portfolio Performance Tracking
Monitor future occupancy and revenue pipelines across your portfolio to stay ahead of performance trends. Identify underperforming or outperforming units and evaluate the impact of property managers across assets.
Market Research & Supply Analysis
Track new supply entering the market to understand competitive pressure. Measure shifts in ADR tiers and host professionalization, and analyze future travel demand trends to inform long-term strategy.
Benefits of the Forward Data Feed
The Forward Data Feed provides a reliable, forward-looking view of market demand through daily data updates. Its property-level granularity enables in-depth competitive and portfolio analysis, while future pricing and availability data help uncover trends before they appear in historical performance. Standardized metrics across markets make it easy to compare results and build consistent revenue models.
Delivery Frequency
The Forward Data Feed is delivered daily and includes a complete refresh of both the Property File and the Property Daily Forward File. This ensures your models always reflect the latest booking activity and the most up-to-date supply changes.