The most complete lodging dataset for Enterprise Analytics
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KeyData gives enterprise organizations direct access to verified lodging intelligence across vacation rentals, OTAs, and hotels so teams can forecast demand earlier, improve strategic decision-making, and power internal analytics systems with confidence.
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Enterprise Teams Need More Than Historical Reporting
You Need Forward-Looking Market Intelligence.
Most organizations still rely on fragmented lodging datasets, delayed reporting, or scrape-only market estimates.
Forecast earlier, model smarter and
operate with greater confidence.
Complete Lodging Visibility
Combine vacation rental, OTA, and hotel performance data into one unified lodging intelligence platform.
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Forward-Looking Demand Intelligence
See booking pace, occupancy trends, booking windows, and demand shifts before they impact the market.
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Enterprise-Ready Data Infrastructure
Integrate lodging intelligence directly into internal systems through APIs, flat files, cloud delivery, and custom enterprise feeds.
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Market-Level & Property-Level Insights
Analyze lodging performance across markets, submarkets, custom regions, and individual properties.
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Smarter Forecasting & Modeling
Power investment models, underwriting systems, revenue forecasting, operational planning, and economic analysis with more accurate demand signals.
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Scalable Delivery for Internal Teams
Support analysts, data science teams, forecasting groups, executives, and operational leadership from one centralized dataset.
More than dashboards. A lodging intelligence infrastructure platform built for enterprise analytics.
Verified Direct-Source Accuracy
Many lodging datasets rely heavily on modeled OTA estimates.
KeyData combines responsibly collected OTA data with verified reservation data sourced directly from property management systems to create one of the most accurate lodging datasets available.
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Occupancy trends- ADR performance
- Booking pace
- Booking windows
- Travel demand shifts
- Market-level forecasting
- Same-store performance
- Guest behavior patterns
Forward-looking visibility creates strategic advantage.
Most lodging reporting tells organizations what already happened. KeyData helps teams understand what is happening next.
- Identify demand surges earlier
- Forecast revenue more accurately
- Detect macro tourism trends before traditional reporting surfaces them
- Model future lodging performance
- Improve staffing and operational planning
- Anticipate regional travel shifts
Flexible delivery options
for enterprise analytics teams.
API Access
Combine all your data sources and most important attributes into a single source of truth.
Flat Files
Receive structured CSV or Parquet datasets for modeling, reporting, and large-scale analysis workflows.
Cloud Delivery
Access enterprise datasets through S3 buckets, Snowflake delivery, and cloud-native infrastructure designed for scalable ingestion.
Custom Enterprise Feeds
Work with KeyData to create tailored datasets, comp sets, market definitions, and reporting structures aligned to your business objectives.
Purpose-built solutions
for
organizations using lodging data to drive
strategic decisions.
Real Estate & Investment Firms
- Short-term rental underwriting
- Acquisition model
- Ingrental projections
- Cap rate analysis
- Portfolio benchmarking
- Development feasibility studies
Hotels & Hospitality Organizations
Use vacation rental and hotel demand data as an early signal for pricing, staffing, forecasting, and market strategy.
- Occupancy trends
- Booking pace
- ADR shifts
- Market compression
- Alternative accommodation demand
Investment Funds & Financial Services
- Macro travel forecasting
- Public company analysis
- Investment modeling
- Consumer demand analysis
- Market share tracking
Government & Public Sector
- Tourism forecasting
- Economic impact analysis
- Infrastructure planning
- Destination stewardship
- Workforce planning
- Regional demand forecasting
Custom Enterprise Solutions
Every organization uses lodging data differently.
- Datasets
- Market definitions
- Delivery structures
- Integrations
- Forecasting models
- Reporting environments
The data infrastructure
organizations rely on every day
Direct-Source Reservation Data
Verified lodging performance data sourced directly from property management systems.
OTA Market Intelligence
Large-scale Airbnb and Vrbo listing intelligence calibrated against direct-source data.
Hotel Performance Data
Forward-looking hotel occupancy and ADR visibility for a complete lodging view.
Rental Projections
Address-level revenue forecasting with automated comp sets and market modeling.
Benchmarking & Comp Sets
Compare performance across custom markets, property types, and competitive sets.
Forward-Looking Pacing
Monitor future demand and booking behavior before arrivals occur.
Custom Market Definitions
Create highly localized market views using dynamic polygons and submarkets.
Not Just Dashboards
Scalable, flexible, and designed for internal analytics environments.
KeyData was built for organizations that operationalize data across teams and systems.
- Enterprise-grade data delivery
- Scalable integrations
- Historical and forward-looking visibility
- Customizable market definitions
- Dedicated enterprise support
- Flexible infrastructure options
- Lodging intelligence built for strategic workflows
The KeyData Difference
What makes KeyData different from AirDNA?
KeyData combines verified direct-source reservation data with OTA market intelligence and hotel performance data to create a more complete and accurate lodging dataset.
How is EnterpriseData delivered?
Enterprise customers can receive data through APIs, flat files, S3 buckets, Snowflake delivery, and custom enterprise feeds.
Can we create custom markets and comp sets?
Yes. Enterprise teams can define custom regions, polygons, submarkets, and competitive sets.
Does KeyData provide forward-looking insights?
Yes. KeyData provides pacing, booking windows, booking curves, and future occupancy visibility.
Who uses KeyData EnterpriseData?
Investment firms, hotel organizations, tourism boards, lenders, real estate investors, enterprise analytics teams, government organizations, and forecasting groups globally.