SlideShare a Scribd company logo
WHITE PAPER
8 Steps to Improving Hotel
Demand Forecasts
An Accurate Forecast Is the
First Step to Better Pricing and
More Profitability
2
8 Steps to Improving Hotel Demand Forecasts
8 Steps to Improving
Hotel Demand Forecasts
An Accurate Forecast Is the First Step
to Better Pricing and More Profitability
Summary
Because hotel rooms are perishable goods with a shelf life of one day, it’s important for hoteliers
to maximize their value. The clearer the picture you have of upcoming demand, the better you
can prepare accordingly in many phases of operation, from staffing to marketing to pricing.
Forecasting upcoming demand allows you to identify needs and build a strategy based on
projected occupancy. Forecasting is a complex discipline and can be overwhelming at first, but it
can be broken down into simple steps.
However, it’s critical for hotel management to have a good understanding of their performance
goals in terms of occupancy, rate and ultimately revenue. For example, if a popular event in the
area brings a number of new guests to the door, forecasting helps hoteliers understand how
to price to maximize revenue. In addition, it’s the first step to understanding when it may be
necessary to lower rates to boost occupancy on days with lower demand.
Simply put: A forecast is a basic tool used to run a hotel more effectively and profitably.
Hoteliers can begin building daily forecasts by segment rather easily. The following are eight
tips for improving demand forecasts:
3
8 Steps to Improving Hotel Demand Forecasts
1. Use the right data
A basic forecast can be as simple as some notes on pen and paper, and as complex as computing
algorithms that produce precise and accurate projections. But a forecast is only as good as the
numbers that go into building it.
Some hoteliers often make the mistake of
biting off more than they can chew.
Some hoteliers often make the mistake of biting off more than they can chew. While the amount
of data available can be exciting, it’s important to include only what is going to truly make a
forecast more accurate.
Beginners start by exporting Excel spreadsheets from their property management system.
The first step is to look at historical data from a hotel’s own system that shows occupancy, rate
and revenue figures from prior years. The further back a hotel has data, the more accurate a
forecast will be. A hotel that has been open just one week will not have as good a base for a
forecast as a hotel that has been open for a decade. Three years of historical data provides
a great look at business and helps project a more accurate forecast, but even a year or two’s
worth of data is helpful.
The most important data to include is booking date, rate code, arrival date, departure date and
revenue by day. Once historical data is present in Excel, hoteliers can add, tweak or manipulate
the data to make forecasts more accurate. The first numbers to incorporate are upcoming
reservations that are already on the books. The more business on the books, the more accurate
a demand forecast will be.
Market-level data, such as future flight demand, weather reports and geographical data, such as
where guests are coming from, is yet another important source for more complex forecasts.
4
8 Steps to Improving Hotel Demand Forecasts
2. Segment your forecasts
When forecasting, it’s important to segment different parts of your business from the get go.
Historical data should be extracted for both group and transient separately, as well as any
business that is currently on the books for each. Build a forecast for both group and transient
business and analyze them separately before overlapping them further down the line.
Identify group business on the books first
because that tends to be booked earlier, takes
up large chunks of rooms and is often times
more dependable.
In forecasting both group and transient business, looking at prior-year booking pace can give
you a good idea of what to expect and how much anticipated demand will actually materialize.
New calendar events like conventions may lead a hotel to expect added group demand over
prior years.
You can improve the accuracy of forecasts by taking length-of-stay into account. It’s important
to measure demand by both arrival day and length-of-stay. Sophisticated managers will prepare
multiple forecasts per reservation day based on predicting whether guests will be arriving for
one or multiple nights.
If you can further segment your business into clearly defined groups that share booking
behaviors, your forecasts will be more accurate and actionable. When possible, break down the
transient segment into further subsets of customers and channels with similar behaviors. Do
customers pay a similar price when booking through a collection of channels? Do they tend to
book at around the same time in a booking window?
For example, customers shopping opaque online travel agencies may shop well in advance and
be more price conscious than those booking directly. Forecasting them separately is the first
step to yielding them independently of each other.
5
8 Steps to Improving Hotel Demand Forecasts
3. Monitor your hotel website
There are many more complex factors that can determine the accuracy of a forecast. One
simplified way of determining the popularity of your hotel on a certain day is by monitoring your
hotel’s website traffic.
Tracking web-shopping behavior can get
highly complex, but it can provide valuable
insight on current and even future demand.
Tracking web-shopping behavior can get highly complex, but it can provide valuable insight on
current and even future demand. It can shed light on how many people are visiting the website,
which can help gauge the frequency of last-minute arrivals.
If you can track how many people are visiting the site versus how many are booking for future
dates, you can see a much clearer picture of true demand. If you can see at what prices those
customers are booking, and more importantly, when they are abandoning the site, you can gain
incredible insight into the price sensitivity of those customers.
Getting an idea of how many potential guests are looking at your website is another dataset
that can be worked into the forecast.
4. Monitor upcoming events calendar
The next influencer to take into consideration when forecasting is upcoming events near the
hotel. The obvious events that will boost demand at your property are holidays, such as New
Year’s Eve and Thanksgiving weekend. Map out the days of major sporting events in your
area, as well as any local community events that will attract a crowd. Take note of the nearby
6
8 Steps to Improving Hotel Demand Forecasts
convention calendar and inquire about events that may draw a big business attendance.
Concerts and nightclub activities may have certain nights that will attract more people than
others.
The key here is to best understand how these events will affect your market and assign a
number value to them. Use historical data to get a clearer picture of annual events; new events
may be harder to predict. When looking at past events, pay attention to booking pace, or how
far in advance guests typically booked their rooms, and chart the booking patterns. This will give
you a more accurate picture of when to expect a surge in demand.
5. Get to know your competitors
Along with collecting and analyzing your hotel’s internal data, key insight for an accurate
forecast can be gleaned from keeping a close eye on the competition.
Build a competitive set by identifying hotels
nearby that are of similar size, operate in
an equivalent segment and are
priced comparably.
Build a competitive set by identifying hotels nearby that are of similar size, operate in an
equivalent segment and are priced comparably. Much can be gleaned about competitors’
demand by their pricing. There are many third parties that provide tools to analyze the room
rates of a competitive set, but remember, it’s a street-corner business.
Looking deeper at competitors’ pricing across various channels, such as brand.com websites,
OTAs and the global distribution systems, can give you a better picture of what kind of demand
the competition is expecting.
7
8 Steps to Improving Hotel Demand Forecasts
While the Internet makes competitive analysis easier, building relationships with nearby
hoteliers can also be extremely beneficial. Talk to the neighbors about demand patterns, but
avoid discussions about pricing and rate strategy.
6. Partner with sales and marketing
Many hotels will have a marketing department or marketing manager to assist in promoting the
hotel and advertising in the right places to boost demand. Although pricing responsibilities may
fall in another department, it’s imperative the two work hand-in-hand.
When sales and marketing departments work
in tandem with those pricing the hotel, the
two departments can share data and other
insights into future demand that can lead to a
more accurate forecast.
Sales, marketing and revenue management functions in hotels should integrate all of their
customer acquisition strategies. When sales and marketing departments work in tandem with
those pricing the hotel, the two departments can share data and other insights into future
demand that can lead to a more accurate forecast.
And those forecasts can give visibility to marketers on periods of high demand versus low
demand, and on what segments are coming each day, so promotions and specials can be used
more tactically.
7. Understand the Impact of Discounting
Before acting on your forecast, it’s important to understand that it’s not going to be
100-percent accurate. Predicting the future is not that easy. So, in advance, you’ve got to
prepare for events or shifts that may alter your forecast, whether slightly or by a wide margin.
8
8 Steps to Improving Hotel Demand Forecasts
One thing that might alter your forecast is
a discount strategy, either by you or your
competitors.
One thing that might alter your forecast is a discount strategy, either by you or your
competitors. For example, if your forecast shows an upcoming day with limited demand, a
targeted promotion might boost business. But remember that rate will suffer. Work with the
sales and marketing team to ensure promotions aren’t being run on high-demand days and help
the team target days when there is little to no demand.
Short-term sales, such as a 24- or 48-hour sale, will often generate a good deal of business in
a very short window. Use your forecast to determine if and when they are needed, and then
adjust the forecast accordingly. Once the promotion is run, you might find you increased your
base business to a level that allows you to increase rates.
8. Check Your Forecast After the Fact
There are many more numbers and data sets that can help with the accuracy of a hotel’s
forecast. Some may become available as the day or week in question gets closer. Therefore, you
need to continue to monitor and adjust your forecasts accordingly and in real time.
Testing is the only way to know the accuracy
of your forecast and consistent errors must
be addressed and can often be corrected.
Just as important as the actual forecasting is the evaluation of it after the fact. Testing is the
only way to know the accuracy of your forecast and consistent errors must be addressed and
9
8 Steps to Improving Hotel Demand Forecasts
can often be corrected.
Most hotels do not calculate forecast error and many that do are calculating their forecast error
by averaging the daily margin of error. For example, a hotel may forecast 100 rooms one day and
end up with 80 filled, hence a negative (-) 20 margin of error. The next day the forecast may be
for 100 again, and the result is 120, for a plus (+) 20 margin. If you average the two, the net error
is zero, but the reality is both days are 20% off.
The further out you’re forecasting, the harder it gets. A margin of error that high for dates
six months out wouldn’t necessarily be unexpected. There’s no right answer to what margin
of error is acceptable. It all depends on the amount and quality of data available and most
importantly the volatility of the data. The closer in dates obviously should and will have less
margin of error than those six, eight and 10 months out.
There is another factor that confounds a forecast that is often overlooked. Even if the demand
data is stable and robust, and the math is perfect, a forecast can be invalidated by changes
in strategy by the management team or changes in the market that deviate from historical
patterns.
For all these reasons, it’s is critical to continually check your forecasts so you can improve their
accuracy. If forecasts aren’t as accurate as expected, there are a number of ways to go about
fixing and retesting. Double-check the math, verify the data is correct and look for outliers that
may be skewing the forecast.
Conclusion
Revenue management is evolving into a critical tool that no hotel can ignore. With the addition
of multiple OTAs with various pricing and commission models, as well as a shrinking booking
window, having an accurate demand forecast is the first step to better pricing and more profits.

More Related Content

What's hot

Chapter 03 Managing Front Office Operations HOT 333
Chapter 03 Managing Front Office Operations HOT 333Chapter 03 Managing Front Office Operations HOT 333
Chapter 03 Managing Front Office Operations HOT 333
Syed Qasim Anwar
 
Reservations Importance
Reservations ImportanceReservations Importance
Reservations Importance
Arpendra Chauhan
 
Hubbart's Formula: Tariff fixation methods in Hotels
Hubbart's Formula: Tariff fixation methods in HotelsHubbart's Formula: Tariff fixation methods in Hotels
Hubbart's Formula: Tariff fixation methods in Hotels
Institute of Hotel Management, Hajipur, Patna, Bihar.
 
Hilton OnQ system
Hilton OnQ system Hilton OnQ system
Hilton OnQ system
vibhav khandelwal
 
Pullman & Novotel Customer relationship management
Pullman & Novotel Customer relationship management Pullman & Novotel Customer relationship management
Pullman & Novotel Customer relationship management
Vishal Jamwal
 
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
RateGain®
 
Hotel sales strategy
Hotel sales strategyHotel sales strategy
Hotel sales strategy
Naresh Kumar
 
The marketing plan of Hilton Worldwide
The marketing plan of Hilton Worldwide The marketing plan of Hilton Worldwide
The marketing plan of Hilton Worldwide
Gabriella (Xin) Xie
 
Basic Revenue Management Training
Basic Revenue Management TrainingBasic Revenue Management Training
Basic Revenue Management Training
Singgih Heri Purwisatoto
 
Hilton ( service industry)
Hilton ( service industry) Hilton ( service industry)
Hilton ( service industry)
Permyot Vipoosanapat
 
Hotel revenue management [autosaved]
Hotel revenue management [autosaved]Hotel revenue management [autosaved]
Hotel revenue management [autosaved]
Ako Ko
 
Sustainability in the Hospitality Industry
Sustainability in the Hospitality IndustrySustainability in the Hospitality Industry
Sustainability in the Hospitality Industry
EcoGreenHotel
 
Hospitality Revenue Management Guide
Hospitality Revenue Management GuideHospitality Revenue Management Guide
Hospitality Revenue Management Guide
RateGain®
 
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learningCredit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
Sandeep Garg
 
Analysis of negative hotel reviews | Hilton hotel
Analysis of negative hotel reviews | Hilton hotelAnalysis of negative hotel reviews | Hilton hotel
Analysis of negative hotel reviews | Hilton hotel
George Skiadopoulos
 
Yield management - Front office
Yield management - Front office Yield management - Front office
Yield management - Front office
Amit Vohra
 
Hotel Industry
Hotel IndustryHotel Industry
Hotel Industryjaijai
 
Hotel's Room Rate structure #2 by Dino Leonandri
Hotel's Room Rate structure #2 by Dino LeonandriHotel's Room Rate structure #2 by Dino Leonandri
Hotel's Room Rate structure #2 by Dino Leonandri
DINOLEONANDRI
 
Introduction of Booking.com
Introduction of Booking.comIntroduction of Booking.com
Introduction of Booking.com
Reflex Online B.V.
 

What's hot (20)

Chapter 03 Managing Front Office Operations HOT 333
Chapter 03 Managing Front Office Operations HOT 333Chapter 03 Managing Front Office Operations HOT 333
Chapter 03 Managing Front Office Operations HOT 333
 
Reservations Importance
Reservations ImportanceReservations Importance
Reservations Importance
 
Hubbart's Formula: Tariff fixation methods in Hotels
Hubbart's Formula: Tariff fixation methods in HotelsHubbart's Formula: Tariff fixation methods in Hotels
Hubbart's Formula: Tariff fixation methods in Hotels
 
Hilton OnQ system
Hilton OnQ system Hilton OnQ system
Hilton OnQ system
 
Pullman & Novotel Customer relationship management
Pullman & Novotel Customer relationship management Pullman & Novotel Customer relationship management
Pullman & Novotel Customer relationship management
 
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
COVID-19 Impact on Hospitality Industry And How to Recover From this Pandemic?
 
Hotel sales strategy
Hotel sales strategyHotel sales strategy
Hotel sales strategy
 
The marketing plan of Hilton Worldwide
The marketing plan of Hilton Worldwide The marketing plan of Hilton Worldwide
The marketing plan of Hilton Worldwide
 
Basic Revenue Management Training
Basic Revenue Management TrainingBasic Revenue Management Training
Basic Revenue Management Training
 
Hilton ( service industry)
Hilton ( service industry) Hilton ( service industry)
Hilton ( service industry)
 
Hotel revenue management [autosaved]
Hotel revenue management [autosaved]Hotel revenue management [autosaved]
Hotel revenue management [autosaved]
 
Sustainability in the Hospitality Industry
Sustainability in the Hospitality IndustrySustainability in the Hospitality Industry
Sustainability in the Hospitality Industry
 
Hospitality Revenue Management Guide
Hospitality Revenue Management GuideHospitality Revenue Management Guide
Hospitality Revenue Management Guide
 
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learningCredit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
 
Analysis of negative hotel reviews | Hilton hotel
Analysis of negative hotel reviews | Hilton hotelAnalysis of negative hotel reviews | Hilton hotel
Analysis of negative hotel reviews | Hilton hotel
 
Yield management - Front office
Yield management - Front office Yield management - Front office
Yield management - Front office
 
Hotel Industry
Hotel IndustryHotel Industry
Hotel Industry
 
Hotel's Room Rate structure #2 by Dino Leonandri
Hotel's Room Rate structure #2 by Dino LeonandriHotel's Room Rate structure #2 by Dino Leonandri
Hotel's Room Rate structure #2 by Dino Leonandri
 
Reservations
ReservationsReservations
Reservations
 
Introduction of Booking.com
Introduction of Booking.comIntroduction of Booking.com
Introduction of Booking.com
 

Viewers also liked

Webinar - The Secrets to Hotel Demand Forecasting
Webinar - The Secrets to Hotel Demand ForecastingWebinar - The Secrets to Hotel Demand Forecasting
Webinar - The Secrets to Hotel Demand Forecasting
Duetto
 
Demand Forcasting
Demand ForcastingDemand Forcasting
Demand Forcasting
itsvineeth209
 
Presentación adriana +topía
Presentación adriana +topíaPresentación adriana +topía
Presentación adriana +topía
Adriana Robisco
 
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
SOASTA
 
Dita Metrics in Production: How, When, Where, and Why (and How Much) Redux
Dita Metrics in Production: How, When, Where, and Why (and How Much) ReduxDita Metrics in Production: How, When, Where, and Why (and How Much) Redux
Dita Metrics in Production: How, When, Where, and Why (and How Much) Redux
Keith Schengili-Roberts
 
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
JDA Software
 
Product Management Metrics | Saeed Khan | ProductTank Toronto
Product Management Metrics | Saeed Khan | ProductTank Toronto Product Management Metrics | Saeed Khan | ProductTank Toronto
Product Management Metrics | Saeed Khan | ProductTank Toronto
Product Tank Toronto
 
Forecasting room demand
Forecasting room demandForecasting room demand
Forecasting room demandUtpal Meena
 
Forecasting Accurately with Salesforce Forecasting
Forecasting Accurately with Salesforce ForecastingForecasting Accurately with Salesforce Forecasting
Forecasting Accurately with Salesforce Forecasting
Dreamforce
 
Using Key Metrics to Supercharge Your Demand Management and S&OP Process
Using Key Metrics to Supercharge Your Demand Management and S&OP ProcessUsing Key Metrics to Supercharge Your Demand Management and S&OP Process
Using Key Metrics to Supercharge Your Demand Management and S&OP Process
Steelwedge
 
Pricing and Revenue Management
Pricing and Revenue Management Pricing and Revenue Management
Pricing and Revenue Management
Mihran Kalaydjian
 
The Four Components of Holistic Marketing
The Four Components of Holistic MarketingThe Four Components of Holistic Marketing
The Four Components of Holistic Marketing
Lori Fisher
 
Revenue Management Concept
Revenue Management ConceptRevenue Management Concept
Revenue Management Concept
smritisgh
 
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
Dan Olsen
 
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
Choudhry Asad
 
Demand Forecasting
Demand ForecastingDemand Forecasting
Demand Forecastingyashpal01
 
Chapter 13: Revenue Management
Chapter 13: Revenue ManagementChapter 13: Revenue Management
Chapter 13: Revenue Management
Nicole Hay-Walters
 

Viewers also liked (20)

Webinar - The Secrets to Hotel Demand Forecasting
Webinar - The Secrets to Hotel Demand ForecastingWebinar - The Secrets to Hotel Demand Forecasting
Webinar - The Secrets to Hotel Demand Forecasting
 
Demand Forcasting
Demand ForcastingDemand Forcasting
Demand Forcasting
 
Presentación adriana +topía
Presentación adriana +topíaPresentación adriana +topía
Presentación adriana +topía
 
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
Actionable Metrics at Production Scale - LSPE Meetup June 27, 2012
 
Dita Metrics in Production: How, When, Where, and Why (and How Much) Redux
Dita Metrics in Production: How, When, Where, and Why (and How Much) ReduxDita Metrics in Production: How, When, Where, and Why (and How Much) Redux
Dita Metrics in Production: How, When, Where, and Why (and How Much) Redux
 
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
Carlson Rezidor Hotel Group and JDA: Creating Next Generation Revenue Optimiz...
 
Product Management Metrics | Saeed Khan | ProductTank Toronto
Product Management Metrics | Saeed Khan | ProductTank Toronto Product Management Metrics | Saeed Khan | ProductTank Toronto
Product Management Metrics | Saeed Khan | ProductTank Toronto
 
Forecasting room demand
Forecasting room demandForecasting room demand
Forecasting room demand
 
Forecasting Accurately with Salesforce Forecasting
Forecasting Accurately with Salesforce ForecastingForecasting Accurately with Salesforce Forecasting
Forecasting Accurately with Salesforce Forecasting
 
Using Key Metrics to Supercharge Your Demand Management and S&OP Process
Using Key Metrics to Supercharge Your Demand Management and S&OP ProcessUsing Key Metrics to Supercharge Your Demand Management and S&OP Process
Using Key Metrics to Supercharge Your Demand Management and S&OP Process
 
Ob mcq
Ob mcqOb mcq
Ob mcq
 
Pricing and Revenue Management
Pricing and Revenue Management Pricing and Revenue Management
Pricing and Revenue Management
 
The Four Components of Holistic Marketing
The Four Components of Holistic MarketingThe Four Components of Holistic Marketing
The Four Components of Holistic Marketing
 
Revenue Management Concept
Revenue Management ConceptRevenue Management Concept
Revenue Management Concept
 
Yield management
Yield managementYield management
Yield management
 
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
Product Management by Numbers: Using Metrics To Optimize Your Product by Dan ...
 
Heizer 04
Heizer 04Heizer 04
Heizer 04
 
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
Developing Marketing Strategies and Plans / Marketing Management By Kotler K...
 
Demand Forecasting
Demand ForecastingDemand Forecasting
Demand Forecasting
 
Chapter 13: Revenue Management
Chapter 13: Revenue ManagementChapter 13: Revenue Management
Chapter 13: Revenue Management
 

Similar to Whitepaper - 8 Steps to Improve Hotel Demand Forecasting

WHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
WHITEPAPER - Fine Tune Your Hotel Forecast with Big DataWHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
WHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
Duetto
 
Lesson 4 forecasting hotel sales
Lesson 4   forecasting hotel salesLesson 4   forecasting hotel sales
Lesson 4 forecasting hotel sales
DENNISDLEMSIC
 
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget PlanningThe Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
Turistenístico
 
Whitepaper - The 7 Most Common Room Pricing Mistakes
Whitepaper - The 7 Most Common Room Pricing MistakesWhitepaper - The 7 Most Common Room Pricing Mistakes
Whitepaper - The 7 Most Common Room Pricing Mistakes
Duetto
 
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdfTop 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
RevnomixSolutions
 
ppt Revenue Forecasting.pptx
ppt Revenue Forecasting.pptxppt Revenue Forecasting.pptx
ppt Revenue Forecasting.pptx
rodelmegollas4
 
The 2018 Smart Decision Guide To Hospitality Revenue Management
The 2018 Smart Decision Guide To Hospitality Revenue ManagementThe 2018 Smart Decision Guide To Hospitality Revenue Management
The 2018 Smart Decision Guide To Hospitality Revenue Management
Sandro Christofori
 
Revenue Perspective - by IDEAS
Revenue Perspective - by IDEASRevenue Perspective - by IDEAS
Revenue Perspective - by IDEAS
Tanti Saptarini
 
The 2018 Smart Decision Guide to Hospitality Revenue Management rate gain
The 2018 Smart Decision Guide to Hospitality Revenue Management   rate gainThe 2018 Smart Decision Guide to Hospitality Revenue Management   rate gain
The 2018 Smart Decision Guide to Hospitality Revenue Management rate gain
RateGain®
 
Michael brunner accountability forbes com
Michael brunner accountability forbes comMichael brunner accountability forbes com
Michael brunner accountability forbes comBrunner
 
White paper infor - 2013 - final
White paper   infor - 2013 - finalWhite paper   infor - 2013 - final
White paper infor - 2013 - final
Chafik YAHOU
 
White paper infor - 2013 -
White paper   infor - 2013 - White paper   infor - 2013 -
White paper infor - 2013 - Chafik YAHOU
 
8 hotel distribution metrics you cannot ignore when choosing channels
8 hotel distribution metrics you cannot ignore when choosing channels8 hotel distribution metrics you cannot ignore when choosing channels
8 hotel distribution metrics you cannot ignore when choosing channels
STAAH
 
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
Net Affinity
 
Esri Location Analytics for Retail
Esri Location Analytics for RetailEsri Location Analytics for Retail
Esri Location Analytics for Retail
Esri
 
11 Things to Look For in a Hotel Booking Engine Provider
11 Things to Look For in a Hotel Booking Engine Provider11 Things to Look For in a Hotel Booking Engine Provider
11 Things to Look For in a Hotel Booking Engine Provider
Net Affinity
 
Guest Intel Market Drivers
Guest Intel Market Drivers Guest Intel Market Drivers
Guest Intel Market Drivers
Ottis Bunning
 
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
RevnomixSolutions
 
Revfine-Marketing Strategies.pdf
Revfine-Marketing Strategies.pdfRevfine-Marketing Strategies.pdf
Revfine-Marketing Strategies.pdf
BhishanPalSingh
 
Global hotel-business-index
Global hotel-business-indexGlobal hotel-business-index
Global hotel-business-index
Sarah Gasim
 

Similar to Whitepaper - 8 Steps to Improve Hotel Demand Forecasting (20)

WHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
WHITEPAPER - Fine Tune Your Hotel Forecast with Big DataWHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
WHITEPAPER - Fine Tune Your Hotel Forecast with Big Data
 
Lesson 4 forecasting hotel sales
Lesson 4   forecasting hotel salesLesson 4   forecasting hotel sales
Lesson 4 forecasting hotel sales
 
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget PlanningThe Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
The Smart Hotelier’s Guide to 2017 Digital Marketing Budget Planning
 
Whitepaper - The 7 Most Common Room Pricing Mistakes
Whitepaper - The 7 Most Common Room Pricing MistakesWhitepaper - The 7 Most Common Room Pricing Mistakes
Whitepaper - The 7 Most Common Room Pricing Mistakes
 
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdfTop 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdf
 
ppt Revenue Forecasting.pptx
ppt Revenue Forecasting.pptxppt Revenue Forecasting.pptx
ppt Revenue Forecasting.pptx
 
The 2018 Smart Decision Guide To Hospitality Revenue Management
The 2018 Smart Decision Guide To Hospitality Revenue ManagementThe 2018 Smart Decision Guide To Hospitality Revenue Management
The 2018 Smart Decision Guide To Hospitality Revenue Management
 
Revenue Perspective - by IDEAS
Revenue Perspective - by IDEASRevenue Perspective - by IDEAS
Revenue Perspective - by IDEAS
 
The 2018 Smart Decision Guide to Hospitality Revenue Management rate gain
The 2018 Smart Decision Guide to Hospitality Revenue Management   rate gainThe 2018 Smart Decision Guide to Hospitality Revenue Management   rate gain
The 2018 Smart Decision Guide to Hospitality Revenue Management rate gain
 
Michael brunner accountability forbes com
Michael brunner accountability forbes comMichael brunner accountability forbes com
Michael brunner accountability forbes com
 
White paper infor - 2013 - final
White paper   infor - 2013 - finalWhite paper   infor - 2013 - final
White paper infor - 2013 - final
 
White paper infor - 2013 -
White paper   infor - 2013 - White paper   infor - 2013 -
White paper infor - 2013 -
 
8 hotel distribution metrics you cannot ignore when choosing channels
8 hotel distribution metrics you cannot ignore when choosing channels8 hotel distribution metrics you cannot ignore when choosing channels
8 hotel distribution metrics you cannot ignore when choosing channels
 
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
6 Ways to Use Your Booking Engine Data to Boost Direct Bookings
 
Esri Location Analytics for Retail
Esri Location Analytics for RetailEsri Location Analytics for Retail
Esri Location Analytics for Retail
 
11 Things to Look For in a Hotel Booking Engine Provider
11 Things to Look For in a Hotel Booking Engine Provider11 Things to Look For in a Hotel Booking Engine Provider
11 Things to Look For in a Hotel Booking Engine Provider
 
Guest Intel Market Drivers
Guest Intel Market Drivers Guest Intel Market Drivers
Guest Intel Market Drivers
 
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
5 Ways to Boost Hotel Value with Revenue Management Strategies.docx.pdf
 
Revfine-Marketing Strategies.pdf
Revfine-Marketing Strategies.pdfRevfine-Marketing Strategies.pdf
Revfine-Marketing Strategies.pdf
 
Global hotel-business-index
Global hotel-business-indexGlobal hotel-business-index
Global hotel-business-index
 

More from Duetto

WEBINAR - How to Select a Hotel Revenue Management System
WEBINAR - How to Select a Hotel Revenue Management SystemWEBINAR - How to Select a Hotel Revenue Management System
WEBINAR - How to Select a Hotel Revenue Management System
Duetto
 
Webinar - The 7 Layers of Data that Will Improve your Pricing
Webinar - The 7 Layers of Data that Will Improve your PricingWebinar - The 7 Layers of Data that Will Improve your Pricing
Webinar - The 7 Layers of Data that Will Improve your Pricing
Duetto
 
Worldhotels - Use Duetto to Drive RevPAR
Worldhotels - Use Duetto to Drive RevPARWorldhotels - Use Duetto to Drive RevPAR
Worldhotels - Use Duetto to Drive RevPAR
Duetto
 
LIVE DEMO - Use Duetto to Drive RevPAR
LIVE DEMO - Use Duetto to Drive RevPARLIVE DEMO - Use Duetto to Drive RevPAR
LIVE DEMO - Use Duetto to Drive RevPAR
Duetto
 
Use Revenue Management to Boost Profit at your Independent Hotel
Use Revenue Management to Boost Profit at your Independent HotelUse Revenue Management to Boost Profit at your Independent Hotel
Use Revenue Management to Boost Profit at your Independent Hotel
Duetto
 
Webinar - Understanding the Basics of Casino Revenue Management
Webinar - Understanding the Basics of Casino Revenue ManagementWebinar - Understanding the Basics of Casino Revenue Management
Webinar - Understanding the Basics of Casino Revenue Management
Duetto
 
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per GuestWebinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
Duetto
 
Transitioning from Excel to a Revenue Management System
Transitioning from Excel to a Revenue Management SystemTransitioning from Excel to a Revenue Management System
Transitioning from Excel to a Revenue Management System
Duetto
 
Webinar - Advanced Tips from Revenue Management Professonals
Webinar - Advanced Tips from Revenue Management ProfessonalsWebinar - Advanced Tips from Revenue Management Professonals
Webinar - Advanced Tips from Revenue Management Professonals
Duetto
 
Webinar - The Science Behind Hotel Room Pricing
Webinar - The Science Behind Hotel Room PricingWebinar - The Science Behind Hotel Room Pricing
Webinar - The Science Behind Hotel Room Pricing
Duetto
 
Webinar - Rethinking Hotel Segmentation
Webinar - Rethinking Hotel SegmentationWebinar - Rethinking Hotel Segmentation
Webinar - Rethinking Hotel Segmentation
Duetto
 

More from Duetto (11)

WEBINAR - How to Select a Hotel Revenue Management System
WEBINAR - How to Select a Hotel Revenue Management SystemWEBINAR - How to Select a Hotel Revenue Management System
WEBINAR - How to Select a Hotel Revenue Management System
 
Webinar - The 7 Layers of Data that Will Improve your Pricing
Webinar - The 7 Layers of Data that Will Improve your PricingWebinar - The 7 Layers of Data that Will Improve your Pricing
Webinar - The 7 Layers of Data that Will Improve your Pricing
 
Worldhotels - Use Duetto to Drive RevPAR
Worldhotels - Use Duetto to Drive RevPARWorldhotels - Use Duetto to Drive RevPAR
Worldhotels - Use Duetto to Drive RevPAR
 
LIVE DEMO - Use Duetto to Drive RevPAR
LIVE DEMO - Use Duetto to Drive RevPARLIVE DEMO - Use Duetto to Drive RevPAR
LIVE DEMO - Use Duetto to Drive RevPAR
 
Use Revenue Management to Boost Profit at your Independent Hotel
Use Revenue Management to Boost Profit at your Independent HotelUse Revenue Management to Boost Profit at your Independent Hotel
Use Revenue Management to Boost Profit at your Independent Hotel
 
Webinar - Understanding the Basics of Casino Revenue Management
Webinar - Understanding the Basics of Casino Revenue ManagementWebinar - Understanding the Basics of Casino Revenue Management
Webinar - Understanding the Basics of Casino Revenue Management
 
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per GuestWebinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
Webinar - Leverage Integrated Hotel Systems to Boost Revenue Per Guest
 
Transitioning from Excel to a Revenue Management System
Transitioning from Excel to a Revenue Management SystemTransitioning from Excel to a Revenue Management System
Transitioning from Excel to a Revenue Management System
 
Webinar - Advanced Tips from Revenue Management Professonals
Webinar - Advanced Tips from Revenue Management ProfessonalsWebinar - Advanced Tips from Revenue Management Professonals
Webinar - Advanced Tips from Revenue Management Professonals
 
Webinar - The Science Behind Hotel Room Pricing
Webinar - The Science Behind Hotel Room PricingWebinar - The Science Behind Hotel Room Pricing
Webinar - The Science Behind Hotel Room Pricing
 
Webinar - Rethinking Hotel Segmentation
Webinar - Rethinking Hotel SegmentationWebinar - Rethinking Hotel Segmentation
Webinar - Rethinking Hotel Segmentation
 

Recently uploaded

一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
ewymefz
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
TravisMalana
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
John Andrews
 
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
correoyaya
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
ewymefz
 
Empowering Data Analytics Ecosystem.pptx
Empowering Data Analytics Ecosystem.pptxEmpowering Data Analytics Ecosystem.pptx
Empowering Data Analytics Ecosystem.pptx
benishzehra469
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
ocavb
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
Tabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflowsTabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflows
alex933524
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
Oppotus
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Subhajit Sahu
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
Opendatabay
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
ewymefz
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
StarCompliance.io
 
Jpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization SampleJpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization Sample
James Polillo
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
enxupq
 

Recently uploaded (20)

一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
 
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
 
Empowering Data Analytics Ecosystem.pptx
Empowering Data Analytics Ecosystem.pptxEmpowering Data Analytics Ecosystem.pptx
Empowering Data Analytics Ecosystem.pptx
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
Tabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflowsTabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflows
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
 
SOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape ReportSOCRadar Germany 2024 Threat Landscape Report
SOCRadar Germany 2024 Threat Landscape Report
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
 
Jpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization SampleJpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization Sample
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
 

Whitepaper - 8 Steps to Improve Hotel Demand Forecasting

  • 1. WHITE PAPER 8 Steps to Improving Hotel Demand Forecasts An Accurate Forecast Is the First Step to Better Pricing and More Profitability
  • 2. 2 8 Steps to Improving Hotel Demand Forecasts 8 Steps to Improving Hotel Demand Forecasts An Accurate Forecast Is the First Step to Better Pricing and More Profitability Summary Because hotel rooms are perishable goods with a shelf life of one day, it’s important for hoteliers to maximize their value. The clearer the picture you have of upcoming demand, the better you can prepare accordingly in many phases of operation, from staffing to marketing to pricing. Forecasting upcoming demand allows you to identify needs and build a strategy based on projected occupancy. Forecasting is a complex discipline and can be overwhelming at first, but it can be broken down into simple steps. However, it’s critical for hotel management to have a good understanding of their performance goals in terms of occupancy, rate and ultimately revenue. For example, if a popular event in the area brings a number of new guests to the door, forecasting helps hoteliers understand how to price to maximize revenue. In addition, it’s the first step to understanding when it may be necessary to lower rates to boost occupancy on days with lower demand. Simply put: A forecast is a basic tool used to run a hotel more effectively and profitably. Hoteliers can begin building daily forecasts by segment rather easily. The following are eight tips for improving demand forecasts:
  • 3. 3 8 Steps to Improving Hotel Demand Forecasts 1. Use the right data A basic forecast can be as simple as some notes on pen and paper, and as complex as computing algorithms that produce precise and accurate projections. But a forecast is only as good as the numbers that go into building it. Some hoteliers often make the mistake of biting off more than they can chew. Some hoteliers often make the mistake of biting off more than they can chew. While the amount of data available can be exciting, it’s important to include only what is going to truly make a forecast more accurate. Beginners start by exporting Excel spreadsheets from their property management system. The first step is to look at historical data from a hotel’s own system that shows occupancy, rate and revenue figures from prior years. The further back a hotel has data, the more accurate a forecast will be. A hotel that has been open just one week will not have as good a base for a forecast as a hotel that has been open for a decade. Three years of historical data provides a great look at business and helps project a more accurate forecast, but even a year or two’s worth of data is helpful. The most important data to include is booking date, rate code, arrival date, departure date and revenue by day. Once historical data is present in Excel, hoteliers can add, tweak or manipulate the data to make forecasts more accurate. The first numbers to incorporate are upcoming reservations that are already on the books. The more business on the books, the more accurate a demand forecast will be. Market-level data, such as future flight demand, weather reports and geographical data, such as where guests are coming from, is yet another important source for more complex forecasts.
  • 4. 4 8 Steps to Improving Hotel Demand Forecasts 2. Segment your forecasts When forecasting, it’s important to segment different parts of your business from the get go. Historical data should be extracted for both group and transient separately, as well as any business that is currently on the books for each. Build a forecast for both group and transient business and analyze them separately before overlapping them further down the line. Identify group business on the books first because that tends to be booked earlier, takes up large chunks of rooms and is often times more dependable. In forecasting both group and transient business, looking at prior-year booking pace can give you a good idea of what to expect and how much anticipated demand will actually materialize. New calendar events like conventions may lead a hotel to expect added group demand over prior years. You can improve the accuracy of forecasts by taking length-of-stay into account. It’s important to measure demand by both arrival day and length-of-stay. Sophisticated managers will prepare multiple forecasts per reservation day based on predicting whether guests will be arriving for one or multiple nights. If you can further segment your business into clearly defined groups that share booking behaviors, your forecasts will be more accurate and actionable. When possible, break down the transient segment into further subsets of customers and channels with similar behaviors. Do customers pay a similar price when booking through a collection of channels? Do they tend to book at around the same time in a booking window? For example, customers shopping opaque online travel agencies may shop well in advance and be more price conscious than those booking directly. Forecasting them separately is the first step to yielding them independently of each other.
  • 5. 5 8 Steps to Improving Hotel Demand Forecasts 3. Monitor your hotel website There are many more complex factors that can determine the accuracy of a forecast. One simplified way of determining the popularity of your hotel on a certain day is by monitoring your hotel’s website traffic. Tracking web-shopping behavior can get highly complex, but it can provide valuable insight on current and even future demand. Tracking web-shopping behavior can get highly complex, but it can provide valuable insight on current and even future demand. It can shed light on how many people are visiting the website, which can help gauge the frequency of last-minute arrivals. If you can track how many people are visiting the site versus how many are booking for future dates, you can see a much clearer picture of true demand. If you can see at what prices those customers are booking, and more importantly, when they are abandoning the site, you can gain incredible insight into the price sensitivity of those customers. Getting an idea of how many potential guests are looking at your website is another dataset that can be worked into the forecast. 4. Monitor upcoming events calendar The next influencer to take into consideration when forecasting is upcoming events near the hotel. The obvious events that will boost demand at your property are holidays, such as New Year’s Eve and Thanksgiving weekend. Map out the days of major sporting events in your area, as well as any local community events that will attract a crowd. Take note of the nearby
  • 6. 6 8 Steps to Improving Hotel Demand Forecasts convention calendar and inquire about events that may draw a big business attendance. Concerts and nightclub activities may have certain nights that will attract more people than others. The key here is to best understand how these events will affect your market and assign a number value to them. Use historical data to get a clearer picture of annual events; new events may be harder to predict. When looking at past events, pay attention to booking pace, or how far in advance guests typically booked their rooms, and chart the booking patterns. This will give you a more accurate picture of when to expect a surge in demand. 5. Get to know your competitors Along with collecting and analyzing your hotel’s internal data, key insight for an accurate forecast can be gleaned from keeping a close eye on the competition. Build a competitive set by identifying hotels nearby that are of similar size, operate in an equivalent segment and are priced comparably. Build a competitive set by identifying hotels nearby that are of similar size, operate in an equivalent segment and are priced comparably. Much can be gleaned about competitors’ demand by their pricing. There are many third parties that provide tools to analyze the room rates of a competitive set, but remember, it’s a street-corner business. Looking deeper at competitors’ pricing across various channels, such as brand.com websites, OTAs and the global distribution systems, can give you a better picture of what kind of demand the competition is expecting.
  • 7. 7 8 Steps to Improving Hotel Demand Forecasts While the Internet makes competitive analysis easier, building relationships with nearby hoteliers can also be extremely beneficial. Talk to the neighbors about demand patterns, but avoid discussions about pricing and rate strategy. 6. Partner with sales and marketing Many hotels will have a marketing department or marketing manager to assist in promoting the hotel and advertising in the right places to boost demand. Although pricing responsibilities may fall in another department, it’s imperative the two work hand-in-hand. When sales and marketing departments work in tandem with those pricing the hotel, the two departments can share data and other insights into future demand that can lead to a more accurate forecast. Sales, marketing and revenue management functions in hotels should integrate all of their customer acquisition strategies. When sales and marketing departments work in tandem with those pricing the hotel, the two departments can share data and other insights into future demand that can lead to a more accurate forecast. And those forecasts can give visibility to marketers on periods of high demand versus low demand, and on what segments are coming each day, so promotions and specials can be used more tactically. 7. Understand the Impact of Discounting Before acting on your forecast, it’s important to understand that it’s not going to be 100-percent accurate. Predicting the future is not that easy. So, in advance, you’ve got to prepare for events or shifts that may alter your forecast, whether slightly or by a wide margin.
  • 8. 8 8 Steps to Improving Hotel Demand Forecasts One thing that might alter your forecast is a discount strategy, either by you or your competitors. One thing that might alter your forecast is a discount strategy, either by you or your competitors. For example, if your forecast shows an upcoming day with limited demand, a targeted promotion might boost business. But remember that rate will suffer. Work with the sales and marketing team to ensure promotions aren’t being run on high-demand days and help the team target days when there is little to no demand. Short-term sales, such as a 24- or 48-hour sale, will often generate a good deal of business in a very short window. Use your forecast to determine if and when they are needed, and then adjust the forecast accordingly. Once the promotion is run, you might find you increased your base business to a level that allows you to increase rates. 8. Check Your Forecast After the Fact There are many more numbers and data sets that can help with the accuracy of a hotel’s forecast. Some may become available as the day or week in question gets closer. Therefore, you need to continue to monitor and adjust your forecasts accordingly and in real time. Testing is the only way to know the accuracy of your forecast and consistent errors must be addressed and can often be corrected. Just as important as the actual forecasting is the evaluation of it after the fact. Testing is the only way to know the accuracy of your forecast and consistent errors must be addressed and
  • 9. 9 8 Steps to Improving Hotel Demand Forecasts can often be corrected. Most hotels do not calculate forecast error and many that do are calculating their forecast error by averaging the daily margin of error. For example, a hotel may forecast 100 rooms one day and end up with 80 filled, hence a negative (-) 20 margin of error. The next day the forecast may be for 100 again, and the result is 120, for a plus (+) 20 margin. If you average the two, the net error is zero, but the reality is both days are 20% off. The further out you’re forecasting, the harder it gets. A margin of error that high for dates six months out wouldn’t necessarily be unexpected. There’s no right answer to what margin of error is acceptable. It all depends on the amount and quality of data available and most importantly the volatility of the data. The closer in dates obviously should and will have less margin of error than those six, eight and 10 months out. There is another factor that confounds a forecast that is often overlooked. Even if the demand data is stable and robust, and the math is perfect, a forecast can be invalidated by changes in strategy by the management team or changes in the market that deviate from historical patterns. For all these reasons, it’s is critical to continually check your forecasts so you can improve their accuracy. If forecasts aren’t as accurate as expected, there are a number of ways to go about fixing and retesting. Double-check the math, verify the data is correct and look for outliers that may be skewing the forecast. Conclusion Revenue management is evolving into a critical tool that no hotel can ignore. With the addition of multiple OTAs with various pricing and commission models, as well as a shrinking booking window, having an accurate demand forecast is the first step to better pricing and more profits.