Since inception, QL2 has been a pioneer in the competitive data market, providing web data extraction and analysis to our customers. Our real-time data capture technology and solutions supply our customers with information to analyze markets and recognize trends and predict risk potential faster and more accurately than other methods. QL2's alternative data assets, correlation analyses, and critical market intelligence comprise over 150 public and 500 private companies in the Airfare, OTA, Car Rental, Hotel, Cruise, Rail, Automotive, Used Car and Retail verticals (Home Goods, Small Appliances, Auto Parts & Tires).
Subscription Details
Annual subscription for purchasing data sets. We offer backtesting for sample data sets for up to 90 days.
Update Granularity
Granularity is down to multiple times per day. Each record is marked with a query timestamp so that you know what date and time it was collected from a website.
Downloadable Assets
None
Price
The annual cost for buying one vertical is $35,000 (includes raw and aggregated data).
All data is collected via web scraping public websites. We do not collect personally identifiable information. We collect, among other things, pricing, quantity, and point of sale data. All data is point in time and time stamped.
Regional Coverage
Global – United States, Europe, China, Latin America, Asia
History
Varies by data set, but most have at least 5 years of historical data.
Cadence
Varies by data set, but most data sets are updated on a daily or weekly basis.
Themes Covered
We scrape OTA’s, direct hotel, car rental and airline sites (among others) in order to collect e-commerce data and pricing quote information for our clients.
Known Biases
All data collections have been informed by our competitive pricing clients, so our data represents what our customers are interested in and have shopped for in the past and on an ongoing basis. Therefore, we could be missing data for certain markets, specific companies, etc. if our customer’s focus has shifted. Additionally, QL2 collects offering data from public websites and this may not necessarily reflect actual transactions.
Granularity of Data
Varies by data set: typically by site or company. Please reach out for more information.
Sectors / Companies
Sector: Consumer Discretionary
QL2 covers most companies in the airfare, car rental and cruise sectors.