Third-party data solutions for Travel & Hospitality

Find, subscribe to, and use third-party data sets to help you make smarter decisions on site selection, supply chain planning, and brand recognition.

Easy-to-use third-party data for the Travel & Hospitality industry

Track travel trends, forecast demand, and improve marketing strategies with AWS Data Exchange. With AWS Data Exchange’s catalog of data products, find footfall patterns, image libraries, booking data, and more niche data sets that you can use in a variety of AWS tools to help your organization harness data at scale and unlock new insights.

Third-party data for Travel and Hospitality organizations | (1:07)

Explore Travel & Hospitality use cases with AWS Data Exchange

Improve Site Selection
Improve Site Selection

Understand where local competition exists, define trade areas, and better understand why certain locations outperform others.

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Forecast Regional Demand
Forecast Regional Demand

Predict regional and local traffic to help optimize staffing and supply chain planning decisions.

Learn more 
Enhance Marketing
Enhance Marketing

Determine where your visitors dine, eat, and shop when they visit a property and find local opportunities for co-marketing and sponsorship to expand brand awareness and delight customers.

Learn more 
Search all Travel & Hospitality data sets 

Third-Party Data Workshop

Learn how to effectively build a data pipeline or manage data distribution of third-party data.

Travel & Hospitality data providers

Register to become a data provider with AWS Data Exchange and easily reach millions of customers with your data in the cloud. AWS Data Exchange gives you a secure and efficient distribution channel while eliminating the need to build and maintain infrastructure for data storage, delivery, billing, and entitling.

Become a data provider 

Travel & Hospitality advantages with AWS Data Exchange

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Discover data sets

Accelerate access to external data and more quickly add new data to existing models.

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Gain insights

Gain deeper insights using a wide variety of AWS analytics and machine learning insights so you can accelerate research and deploy predictive models to better anticipate and meet customer needs and preferences.

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Unify ingestion

Unify data ingestion from multiple providers and consolidate invoicing and back-office operations.

Yum! Brands Logo
Yum! Brands uses Foursquare Location Data

"…our teams across the globe are in constant need of hyper local and accurate data to power our site selection and other geospatial use cases. Working with Foursquare and AWS Data Exchange has enabled us to seamlessly procure the exact Point-of-Interest dataset we needed across dozens of markets. And all delivered to us directly in the cloud, alongside our data analytics and tools."

Nikhil Jain

Senior Director of Decision Sciences

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    Site Selection
  • marketing-icon
    Forcast Regional Demand
  • sent-analysis-icon
    Enhance Marketing
  • Inform how and where you make site selection decisions

    Understand where local competition exists, define trade areas, and better understand why certain locations outperform others.

    Travel & Hospitality data sets that others like you are searching for:

    The award-winning FSQ/Places API, now available in AWS Data Exchange, offers real-time access to Foursquare’s Places database of 100M+ POI worldwide with Pay As You Go Billing.

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    Get access to U.S. anonymous visitation data of millions of points of interest across a diverse set of categories and chains for one historical day.

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    Get visitation data to Hilton brand hotels, starting with February 2020. This data set includes Gravy Registration ID (anonymous ID), Object name and ID (POI identifier), POI Metadata, and Visit data.

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    Use these aggregated foot traffic metrics of individual points-of-interest (POI), including visits and unique visitors, median distance from home, median dwell time and more.

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    Neighborhood Patterns contains aggregated foot-traffic data for each census block group (CBG) in the United States and contains data for June 2020. Use this free sample to learn why and how certain areas in the U.S. are busier than others.

    Learn more 

    Gain insights on how spend behavior is changing over time at specific points of interest (POI), including the average transaction size, spend in-person vs. online, spend by customer demographics such as income, and spend by customer loyalty.

    Learn more 
  • Forecast regional demand

    Predict regional and local traffic to help optimize staffing and supply chain planning decisions.

    Travel and Hospitality data sets that others like you are searching for:

    Use PredictHQ’s demand intelligence data to improve demand forecasts, optimize supply chains, dynamically price solutions, and more. The global API provides millions of verified and ranked events, aggregated from hundreds of data sources and is the single, global source of truth for events from sports to festivals to school holidays to severe weather.

    Learn more 

    Total Consumer Insights (TCI) is the most comprehensive collection of U.S. consumer data available. It leverages Infutor’s industry-leading consumer TrueSource™ Identity Graph consisting of demographic and location data and offline contact markers. This API can receive identity markers for name, address, phone and email as inputs.

    Learn more 

    This trial features two distinct datasets: venue data in the US from Foursquare’s Places point-of-interest (POI) database from February 2021, and aggregated US visit data from Foursquare in the same time frame. When combined, these datasets power an understanding of foot traffic patterns in relation to surrounding venues.

    Learn more 

    This dataset covers locations for major retailers, local businesses, restaurants, hotels, airports, hospitals and more. Dataset contains patterns for more than 4.3MM United States POI across all categories and over 5,500 recognized brands, updated with the latest data on a monthly cadence. The data in this dataset is anonymized and aggregated at the POI level.

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    This dataset contains sales data on over 1.1M products sold on Target.com and in Target stores. Calculated by tracking changes in inventory levels at a high frequency, this product can be used to analyze the realtime performance of over 350 publicly traded companies selling through Target or to gain a better understanding of the retail landscape.

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    The Kochava Collective is the largest, independent mobile data marketplace, with rich geo data spanning billions of devices globally. This premium US Precision Geo feed delivers raw latitude/longitude data with volumes around 94B+ geo transactions per month, 125 million monthly active users, and 35 million daily active users, on average observing more than 90 daily transactions per device.

    Learn more 
  • Enhance Marketing & Sponsorship and Events

    Determine where your visitors dine, eat, and shop when they visit a property and find local opportunities for co-marketing and sponsorship to expand brand awareness and delight customers.

    Travel and Hospitality data sets that others like you are searching for:

    PredictHQ’s easy-to-use global events API gives businesses direct access to a constantly updated and verified event database drawing on billions of data points daily. Events across 19 categories, from expos to concerts to college dates to natural disasters, are aggregated from hundreds of sources then cleansed, filtered, enriched and verified using our proprietary data pipeline.

    Learn more 

    Get a more holistic view of your consumers by understanding where they go in the real world. Visits is a daily feed of footfall to the chains and categories that matter to your business and can be leveraged to enrich your first party data, create custom targeting segments, improve marketing strategies and power your in-house measurement solution.

    Learn more 

    Gain insights on how spend behavior is changing over time at specific points of interest (POI), including the average transaction size, spend in-person vs. online, spend by customer demographics such as income, and spend by customer loyalty.

    Learn more 

    Use anonymous Restaurants visitation data to gain insights into restaurant trends in the United States. Dataset includes Gravy Registration ID (anonymous ID), Object name and ID (POI identifier), POI Metadata, and Visit data.

    Learn more 

    Use anonymous Sports Venue visitation data to gain insights into trends and traffic for sports venues across the United States. Dataset includes Gravy Registration ID (anonymous ID), Object name and ID (POI identifier), POI Metadata, and Visit data.

    Learn more 

    The Kochava Collective is the largest, independent mobile data marketplace, with rich geo data spanning billions of devices globally. This premium US Precision Geo feed delivers raw latitude/longitude data with volumes around 94B+ geo transactions per month, 125 million monthly active users, and 35 million daily active users, on average observing more than 90 daily transactions per device.

    Learn more 
See all Travel & Hospitality data sets 

Let us help you find the data you need

Speak with an AWS Data Exchange expert who can help you find the solutions you need to make smarter decisions.

Learning resources for Travel & Hospitality data professionals

E-BOOK

This innovative resource is designed as a broad compilation of use cases submitted by AWS Marketplace data providers. Each contributor tells a concise but unique story of how they solved a particular business challenge through a reliable third-party data solution.

Download the e-book 
Using External Data to Accelerate Business in a Post-Vaccinated World
ON-DEMAND WEBINAR
How to enhance your customer's mobile experience through third-party data
Learn how to use third-party data for data pipelines, data analysis, and data visualization. Hear about the real-world initiatives and breakthroughs being enabled by third-party data.
Learn more 
How Yum! Brands uses location data from Foursquare to make smarter decisions
ON-DEMAND WEBINAR
How Yum! Brands uses Foursquare to make smarter decisions
Check out how Yum! Brands is leveraging location-based data to boost in-app location accuracy.
Learn more 
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ON-DEMAND WEBINAR
Using external data to accelerate business in a post-vaccinated world
Learn how companies across real estate, retail, and hospitality are using data to prepare for success.
Learn more 
View more resources 

Travel & Hospitality customer success story

logo-yum-150x125
 Our teams across the globe are in constant need of hyper local and accurate data to power our site selection and other geospatial use cases. Working with Foursquare and AWS Data Exchange has enabled us to seamlessly procure the exact Point-of-Interest data we needed across dozens of markets, and all delivered to us directly in the cloud alongside our data analytics tools."
– Nikhil Jain,
Senior Director of Decision Sciences

About Yum! Brands
  • Headquartered in Louisville, Kentucky
  • 50,000 restaurants in more than 150 countries
  • 2,000 franchisees
  • Company’s brands include KFC, Taco Bell, Pizza Hut, and The Habit Burger Grill
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Challenge

Select physical locations for new restaurants using data that shows which geographical locations are of interest and why.

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Solution

Utilize AWS Data Exchange to source Foursquare’s Point-of-Interest data and use it in the company’s cloud-based analytics tools.

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Benefits
  • Improved customer experience with convenient restaurant locations
  • Better decision-making based on data and insights vs. just human experience or instinct

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