HOTEL PREDICTIVE ANALYTICS
FORECASTS UNITED STATES HOTELS
INTERNATIONAL HOTEL FORECASTS
List of Top 25 US Hotel Markets & Las Vegas Predictive Analytics HIP & HIL
List of Top 25 US Hotel Market & Las Vegas Forecasts
UNITED STATES NATIONAL HOTEL PREDICTIVE ANALYTICS
|For the United States' hotel industry, the predictive intelligence report consists of countrywide monthly predictive analytics featuring:
What Questions Can be Answered by United States' Hotel Predictive Analytics
- Hotel Industry Pulse (HIP)
- Hotel Industry Leading (HIL)
- Hotel Recession Risk (Probabilities for an Upcoming Decline in RevPAR)
Business Intelligence for United States' Hotels
Q: What's happening now in United States' hotels?
A: Visualize United States' Hotel Industry Pulse (HIP)
- How is the United States' hotel industry performing now?
- When did this begin? What's its depth?
- Has this happened before? When? How many times?
- United States' HIP, a composite analytic of supply and
demand hotel indicators, tracks monthly overall business activity for the
country’s hotels, like GDP for the economy. HIP's higher order analytics, such
as growth rates and ratios, measure the speed of change and the depth of a
business upswing or downswing. HIP also defines hotel industry recessions in
the United States' hotel market by providing the chronology of the country's
hotel business cycle - from booms to busts.
- The HIP's turning points
define the chronology of the industry's business cycle, which can be compared
to the overall business cycle. The analytic helps to historically assess
whether United States' hotels enter (or exit from) a recession before, after or
at the same time with the overall economy.
Visualize (charts and/or tables) an anatomy of the business cycle for a hotel market in Box 1.
- Hotel performance statistics behave in line with the business cycle. Revenue
per available room (RevPAR) for United States' hotels dips when United States' HIP
declines; RevPAR begins to recover when HIP signals an end to recession.
Visualize (charts and/or tables) an anatomy of RevPAR during an industry recession for a hotel market in Box 2.
Predictive Intelligence for United States' Hotels
Q: What's next for United States' Hotels?
A: Visualize Two Predictive Analytics for United States' Hotels
United States' Hotel Industry Leading (HIL) is a single
predictive analytic that sheds lght on the future performance of the country's
hotels. United States' HIL is a composite of leading indicators related to the
domestic and international future business climate, which drive visitors to the
country's hotels. HIL historically and consistently changes direction before
HIP. Thus, United States' HIL is a forward looking composite that leads hotel
performance statistics like RevPAR.
United States' Hotel Industry Leading (HIL)
- Hotel Recession Risk - Probabilities for an Upcoming Decline in United States' RevPAR
Visualize (charts and/or tables) an anatomy of HIL foretelling future movements in RevPAR for a hotel market in Box 3.
United States' HIL is generated monthly using factual forward looking composite analytics such as:
Hotel Recession Risk
- probabilities for an upcoming decline in United
States' RevPAR - is calculated by applying probabilistic
econometric models, which relate historically the
recession (expansion) dates derived from United States'
Hotel Industry Pulse (HIP) index to the forward-looking
United States' Hotel Industry Leading (HIL). This
process generates forecasts of probabilities of an
upcoming recession (expansion)and captures future
business activity for United States' and thus its key
performance measure, Revenue Per Available Room (RevPAR).
Tightness in Labor Markets
- Hotel Profitability
- Foreign Demand
- Financial Conditions
- Intentions to Buy Big Ticket Items
- Energy Costs
- Business Activity in Housing Markets
Visualize (charts and/or tables) tracking the risk of an upcoming recession for a hotel market in Box 4.
The Bottom Line
analytics improve decision-making, yet there is
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complexity to create them. For the United States' Hotel
Predictive Analytics, our team has done the hard work
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hotel insights and operationalize predictive analytics
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