Description
This study is the culmination of research on distribution practices, the distribution landscape and hotel performance based on channel mix.
AN
A H& L A
an d
S TR
S p e c i al
R e p o rt
Distribution Channel Analysis:
a Guide for Hotels
Cindy Estis Green &
Mark V. LomanNo
Published by the HSMAI Foundation
Executive Summary —
Appendix 1 Channel Analysis
Distribution
The Ten Things You Should Know,
Detailed Findings and Implications
T
his study is the culmination of research on distribution practices,
the distribution landscape and hotel performance based on
channel mix. Distribution costs have been rising steadily. As current and emerging intermediaries take advantage of an active
digital travel market, they will wield substantial influence as gatekeepers,
imposing fees and charges for directing the consumer traffic to the hotel.
Growth in digital travel shopping will expand the transparency of hotel
pricing structures putting additional competitive pressure on rates.
The combination of the higher booking volumes passing through
intermediaries, the costs imposed for intermediation and the pressure
on rates will challenge the hotel owner and manager to maintain profit
levels. This report and analysis is meant to be a starting point for any
member of the hotel community to better understand distribution
dynamics and its impact on hotel profitability.
The focus of the study is primarily on
the U.S. hotel industry, and although
many of those interviewed manage distribution worldwide, and the strategic
issues are global in scope, they may play
out differently in different parts of the
world. It also focuses on the transient
business so although the increased
usage in third party intermediaries
in the group/meetings segments is
recognized as a distribution issue,
it is not addressed in this study.
1
AN AH&LA and STR Special Report
Published by the HSMAI Foundation
1
The Ten Things You
Should Know
1 Hotel demand in the U.S. market is “price inelastic”
on an industrywide basis for all hotel types. That
means lowering prices will not stimulate enough
incremental demand to make up for the rate reductions; there isn’t enough demand in most markets to
compensate—therefore, the net result of lower rates
is lower revenue levels. This is mainly due to limited
demand for lodging services overall in a mature U.S.
hotel market.
2 On a property level, a hotel may be able to lower
prices in certain circumstances to generate enough
demand within a comp set to result in a net positive
revenue outcome. However, because the rates are so
transparent and prominent in current and emerging
digital venues, by the time the competitors match the
lowered rate, the first hotel that lowered its rates loses
any benefit in terms of a demand bump and the entire
competitive set may have a harder time increasing
rates commensurate with the increased cost of doing
business.
3 The U.S. hotel market at the comp set level oper-
ates as a near zero-sum game. The fact that there
has been limited hotel demand growth in the U.S.
market (averaging 1.6% year-over-year for the last
20 years) means that any claim that a channel vendor
will create substantial new industry level demand is
unrealistic. Channel vendors may be very effective in
helping a hotel shift share, from one hotel to another
or one time period to another. Despite the fact that
they might generate some new demand coming from
inbound international markets, they are unlikely to
bring meaningful incremental demand into any U.S.
marketplace in the near term.
4 Hotels rooms are for sale in a dynamic and volatile
distribution landscape that is launching many market
savvy and financially well-endowed “gatekeepers”
who will become a new breed of third party intermediary (e.g., Google, Facebook, Apple); their power will
grow as they gradually become the preferred points
of entry for consumers to do travel shopping and
buying. They will charge fees for referrals to hotels
and, while there is no firm evidence pointing to an
exact number, it is plausible that upwards of half of
the hotel business could ultimately pass through third
parties before being delivered to a hotel or brand;
2
AN AH&LA and STR Special Report
also possible is that costs may run as much as 10%
to 20% of revenue for this emerging new network.
Although they also pose great opportunities, how
the hotel brands manage them in the near future will
be critical to the longer-term outcomes and hoteliers
will have to remain vigilant to ensure that each new
channel has a reasonable return on investment. The
categories to watch are meta-search (e.g., Google,
Hotel Finder, Room Key), social (e.g., Facebook, Trip
Advisor) and mobile (e.g., all OTAs, all hotel brands
and new mobile-only players). New technologies
like voice- and map-activated applications that are
suited to the native mobile environment will become
attractive substitutes for the traditional search engine
browser for consumers to initiate their shopping and
buying. Even when these new third parties send a
hotel its business directly, they will charge referral
or media fees and these bookings will still require a
technology infrastructure to support the inquiries and
transaction delivery, all adding to the cost.
5 For those concerned about intermediary costs such as
the estimated $2.7 billion cost of OTA commissions in
2010 (as calculated and estimated by this study) or the
additional estimated $1.3 billion paid to retail travel
agencies through the GDSs (as calculated and estimated by this study), the prospect of paying double these
costs to a widening array of third party intermediaries
within 3 to 5 years may be shocking, but it is not unrealistic. Using a hypothetical example, a hotel with $3
million in room revenue may have paid $120,000 to
$150,000 in distribution costs in 2010 and may well
be paying close to $200,000 to $250,000 by 2015.
When the U.S. hotel industry ADR in 2010 appears to
be $10 below the inflation-adjusted rate charged in
2000, these added costs aggravate an already challenging profit picture for a hotel owner.
6 The primary source of new incremental demand in
the U.S. market will come internationally. Despite
security restrictions on inbound travel to the U.S., the
growing number of Chinese and Indian travelers will
provide meaningful growth in major markets. Many
large hotel companies are building brand awareness
in China and India through aggressive hotel development efforts, but the third parties with marketing
savvy and substantial budgets also have their eye on
capturing this lucrative inbound demand potential and
are laser-focused on securing adoption and loyalty
as a reservation channel of choice within these new
markets, making them crucial players in the consumer
hotel selection process.
Executive Summary
7 Some third party distribution channels may start to
offer similar services as those provided by current
franchise and branded hotel organizations. They may
develop into a kind of “soft brand” to support client
hotels by (1) maintaining a brand presence, (2) providing substantial reservation contribution, (3) maintaining quality metrics for customer evaluation and (4)
offering the benefits of a frequency/loyalty program.
8 For the hotelier who does not take proper precautions
and execute careful planning and control, “last minute” pricing strategies can (1) make forecasting more
difficult; (2) lower rates overall; (3) reduce the volume
of high rated business booked further out from arrival
(why book early when you can wait and get a better
deal?); (4) cause consumers to believe that there is
little difference between hotel brands (there is a growing commoditization of hotels as a product); and (5)
put into question the issue of who “owns” the guest
by making the reservation portal the “place to go” for
hotel buyers and, in so doing, potentially degrading
the value of the hotel brand.
10 With a highly fragmented distribution network and
limited marketing resources, it is imperative for hotel
marketers to understand which promotional efforts
to credit with their bookings. The Cornell’s Center
for Hospitality Research (CHR) published two studies
concluding that Expedia creates a “billboard effect”
that causes a major lift in a hotel’s website bookings.
The studies documented specific hotels in conditions
that may not mirror a realistic situation for many hotels
and do not address variables that may influence the
findings in a meaningful way. It would be misleading
for a hotel marketer to assume that the study findings
can be projected to his or her own hotel. However, the
study has become part of the industry dialogue that
has lead many hotel companies to develop “attribution models” that systematically help the brands figure
out how much to credit each consumer touch point
with its contribution to bookings. There is no simple
answer to this question and it will become even more
complex as new channels come online making a clear
case for brands and marketing partners of independents to focus on this question in order to most
efficiently deploy marketing resources.
9 The prominence and transparency of rates on the
Internet and emerging mobile applications, and the
concern for “rate parity” to keep the same rates in
all channels, may result in a “one-rate-fits-all” pricing
structure for many hotels. This undermines the power
of marketing which is a discipline built on a foundation
that calls for offering relevant products and services
with corresponding rates by segment in order to best
meet the needs of each customer group. Rates are
often diluted by (1) the pressure to keep prominent
online rates as low as possible, (2) the reality that
many customers have been trained to believe that he
or she will find a lower rate closer to arrival, and (3) a
propensity for hotels to think that the demand generated by lower rates will always compensate for the
rate reduction.
Published by the HSMAI Foundation
3
Detailed Findings
Prices, Price Elasticity and Demand
4 In the mature U.S. lodging market, with demand
growth for hotel rooms over the last 20 years averaging 1.6% per year, and indications that this pattern
is likely to continue for the foreseeable future, the
primary expectation of hotels from their distribution
channel partners will be in shifting demand share,
rather than generating new incremental demand.
4 Aggregate hotel room demand was found to be relatively inelastic. This is true both at the total U.S. level
as well as for each Smith Travel Research (STR) chain
scale category. That means that a reduction in room
rate will yield growth in demand, but not enough to
offset the lower price charged for the room resulting
in a net negative result in room revenue. This generally
applies at the property level as well, but can play out
differently under certain competitive conditions.
4 If increases in hotel room rates are not at or above the
inflation rate, then the price increases year-over-year
are not sufficient to cover the increased cost of doing
business. When ADR growth was examined over time,
the U.S. industrywide ADR in 2010 was approximately
$10 below the inflation-adjusted rate charged in
2000.
Channel Production Profile and
Relationship Between Channels
4 More than eight in ten room nights (81%) in 2010
were booked through direct channels — voice, brand.
com, property direct — as opposed to almost 20%
through third party channels (online travel agency or
OTA, global distribution system or GDS).
4 Greater than one-third (35%) of the hotel room bookings in 2010 came to the hotel digitally (i.e., brand.
com, OTA and GDS), up from 33% in 2009. This
component is expected to continue its upward trend
through 2011.
4 West coast markets tend to have a much higher percentage of their room nights booked through digital
channels than other parts of the country.
4 There appears to be an inverse relationship between
customer usage of brand.com and the OTA channels.
The data showed that when the percentage of bookings through one of these two channels rose there
was a decline in the percentage booked through the
other and vice versa. A more detailed analysis of this
pattern should be undertaken to better understand
the magnitude and nature of the relationship.
4
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4 The flow-through of revenue to gross operating profit
(GOP) or net operating income (NOI) by channel varies
dramatically when the full cost of hotel operations
are applied to a hotel’s base revenue. An examination of some chain scale average rates and expenses
by channel reveal that some hotels do not attain a
high enough average rate in every channel to cover
the hotel operating expenses. An analysis of average distribution costs versus average ADR for 2010
indicated that the average contribution to NOI for the
respective booking channels in the mid-scale limited
service hotels had a range of $29 per room night from
the highest to lowest channel with an average hotel
average daily rate (ADR) of $76.13. The spread for
upscale full service hotels was $75 from highest to
lowest contribution by channel to NOI per room night
with a hotel ADR of $132.46. (Note: the analysis of
marginal costs applied to incremental room revenue is
a different model and both models are included in the
chapter on Distribution Costs and Benefits.)
4 Length of stay and ancillary spend vary widely by
booking channel and can impact revenue and profit
and therefore, have a meaningful effect on channel
mix evaluation.
Individual Channel Profiles
4 Brand.com continues to capture a larger share of
both the absolute number of rooms booked and the
percentage of total rooms booked in year-over-year
comparisons representing (in 2010) 16.4% of the
demand and 18.5% of the revenue.
4 Central Reservation System (CRS)/Voice share of total
rooms booked continued to decline in 2010 as more
consumers shifted to digital channels. However, this
channel still accounts for more than 13% of all rooms
booked and 17% of revenue.
4 Property Direct/Other remains by far the largest booking channel for each chain scale category although
it is a mixture of group/meetings, walk-in, contract
and other local business so cannot be easily compared between hotel segments. However, the erosion
caused by digital channels in both demand and room
revenue share is dramatic and consistent. Nonetheless,
in 2010, it contributed 51.4% of demand and 45.9%
of revenue.
4 GDS bookings, which are dominated by transient business travelers, grew substantially in 2010 as the lodging
demand in this segment rose rapidly. It represented
8.3% of demand and 10.8% of the revenue in 2010.
Executive Summary
Online Travel Agency (OTA) Profile
4 OTA share of room night bookings grew substantially in
2010 over 2009, representing almost 11% of all room
night demand and 7.7% of the revenue.
4 Historically the highest percentage of OTA penetration
had been in the higher end chain scale segments. Beginning in 2010, the economy and mid-scale chain segments
experienced a notable jump in that they captured the
highest percentage of rooms booked through OTAs of all
the chain scale categories.
4 All three of the OTA business models (i.e., merchant, retail
and opaque) experienced growth in both their demand
and room revenue share in 2010 over the prior year. Of
the three, the retail segment was the fastest growing in
2011 largely driven by Booking.com’s entrance and success in the U.S. market.
4 There has been a recent shift in the percentage of total
room revenue booked through the OTAs. Between 2001
and 2009, the OTA share of total room revenue booked
experienced big jumps primarily when the economy
dipped, and leveled off when lodging demand growth
was strong. However, this pattern seems to have changed
in 2011, in a year when the economy was recovering and
lodging demand rebounded strongly; the OTA channel
had a notable rise in revenue likely due to strong growth
in the retail model, higher rates overall, and the rise in use
by the economy and midscale hotel segments.
4 Spending on hotel rooms by the guest was estimated by
this study to be approximately $2.7 billion higher in 2010
than what was reported on hotel profit and loss (P&L)
statements due to the portion of the revenue collected
directly by the OTA (using the merchant and opaque
models) that did not pass through the hotels.
4 When the actual customer spend collected by the OTAs
(using the merchant and opaque models) is factored into
industry room revenues, total overall U.S. average room
rates nationally increased about $2.35 in both 2009 and
2010, to more than $100.
4 The OTA model, supported by healthy profit margins, is
popular in the investment community. For example, in Q3
2011 Priceline’s market capitalization was more than $27
billion, which was almost three times that of any hotel
company. Ironically, this value transfer from hotel companies to their intermediaries is largely fueled by the hotel
fees and commissions making up the majority of the OTA
profits.
Marketing and Distribution Strategy
4 The two largest consumer media budgets applied in the
promotion of hotels in the United States are spent by
OTAs and hotel brands. In 2010, the OTAs outspent the
hotels more than 2-to-1 in TV advertising and almost
4-to-1 in online paid search advertising.
4 Most hotel performance is evaluated on the basis of total
room revenue. Little is known about how each hotel
performs compared to its competitive set in terms of
channel mix and how that mix affects overall relative performance. Lack of data on this subject limits the hotel’s
ability to monitor and manage by channel.
4 The online consumer sales path is complex. Although it
would be helpful for marketing planning purposes, there
has not been an industrywide analysis of online attribution to determine which promotional vehicles should be
credited with triggering hotel website (brand.com) bookings. The only studies published on this topic came from
Cornell’s Center for Hospitality Research in October 2009
and April 2011, both of which referred to a “billboard
effect.” The two CHR “billboard effect” studies document outcomes, but do not prove causation between
a presence on Expedia and production of brand.com
bookings. While helpful to focus industry discussion on
an important topic, neither the April 2011 study nor the
earlier “pseudo-experiment” in October 2009 sufficiently
tested all the variables involved in the complex issue of
identifying and appropriately crediting each of the many
touch points that lead to brand.com bookings.
The first “billboard effect” study in October 2009, called
a “pseudo-experiment,” looked at brand.com production
to see if it increased or not while the four test hotels were
cycled on and off Expedia. It concluded that a presence
on Expedia increased brand.com bookings significantly,
however, it did not consider the fact that other promotional activity was undertaken by those four properties
(or their parent brands), and this activity could also have
a material effect on brand.com bookings. It also did not
test whether ranking the test hotel in a position other
than the top of page 1 would make a difference to the
number of brand.com bookings. The more comprehensive April 2011 study of 1,720 hotel bookings does not
give any credit to the other seven to eight travel websites
visited by consumers in the run-up to each booking, nor
does it evaluate email, offline advertising, banner ads or
any other commonly used promotional vehicles, each
of which may create the effect of an added “billboard”
on a travel shopper’s path. It also does not consider rank
placement on the OTA. Both studies examine Expedia
in isolation, in an environment where many points of
contact play into the outcomes, and neither study factors these other touch points in or out of the consumer
decision process. The industry would benefit from a more
comprehensive examination of this topic.
4 The three greatest emerging forces in online distribution
are: search, social media and mobile. Driven by consumer
behavior and some large influential online companies such
as Google, Facebook and Apple, these three categories are
dynamic and volatile and are likely to dramatically change
the travel shopping/booking paradigm and, with it, the
overall hotel distribution landscape over the next 2-3 years.
Published by the HSMAI Foundation
5
Implications
of the Findings
The online environment imposes constant and
significant changes on lodging distribution. Paradoxically, the more diffused consumer Internet
usage with its many new emerging website types,
the more centralized the players will be that control
it. The power will be in the hands of gatekeepers
who control consumer access, and many are vying
for that position, especially in the travel sector. This
doesn’t bode well for a fragmented industry such as
lodging that largely divides its ownership, management, and branding. There are already powerful
online media interests (e.g., Google, Facebook, and
the OTAs) that are well positioned to control the
traffic leading to the demand for hotel rooms. These
companies have deep pockets, centralized product
and marketing strategies and are rewarded by the
investment community for attaining near-monopoly
positions. This dynamic can push up the costs of
acquiring and retaining demand, and challenge a
hotel’s ability to achieve acceptable profit levels;
conversely, it can create competition between intermediaries that can be leveraged to the hotelier’s
advantage. To compete effectively and retain control
of pricing, inventory, and brand value, the hospitality industry has to make a substantial commitment
to manage a burgeoning array of transactional
and marketing channels and harness its customer
relationships, the asset it can control best, more
effectively than any third party intermediary. Given
the limited demand growth in the mature U.S. lodging market, distribution channel marketing will be
a primary tool used to shift existing share among
hotels. Proactively managing to an optimal channel mix objective will drive resource decisions for a
hotel, and although no one can make a consumer
choose a particular channel, a bias can be created
for direct channels, primarily through improved
content on a hotel’s own website and the application of consumer intelligence in the shopping and
buying processes to favor the use of direct channels.
Closely managing channel costs and choosing the
best mix of channel partners can refine a distribution strategy to deliver optimal results at a brand
and hotel level.
6
AN AH&LA and STR Special Report
1. Price Elasticity at the Competitive Set Level
The fact that year-over-year growth in hotel room
demand is small (1.6% average since 1990) is a factor
at the industry and local market level. Saying that this
demand is “price inelastic” means that room rate reductions on an industrywide level will not generate enough
incremental demand to compensate for the lower room
rates and, therefore, will result in eroded industrywide
room revenue. However, on a property basis, this price
elasticity plays out differently. For example, Hotel A can
lower its rates and as long as no other hotel matches
the lower rate, it is feasible that it can generate enough
incremental demand to come out net positive from a
room revenue standpoint. Unfortunately, Hotels B, C,
D, and E, in the competitive set, are unlikely to stand
by without also lowering their rates to ensure that they
get their fair share of the finite demand coming into
the comp set. Therefore, the result can be that Hotel
A gets some benefit, reduced by the degree to which
the others match the room rate, resulting in all hotels
ending up with lower rates and profits. As this dynamic
continues over time, all hotels in the comp set may well
continue to lower rates to try to be the one hotel in the
comp set that gets the short-term bump in demand,
but since they are all chasing the same limited demand,
it can become a “race to the bottom.” When these
rates get so low that a hotel can no longer sustain employment levels and capital reinvestment, it is not good
for the hotel, the community in which it operates, or its
customers.
2. Its All About Share Shift
As demand growth in the mature U.S. lodging industry
typically only varies in a narrow range from year to
year, incremental demand brought by any channel
partner will be marginal. However, each channel
can be viewed for its potential to “share shift” from
another hotel in its market, which is the primary
method a hotel can use to gain an advantage. OTAs
are particularly adept at helping a hotel shift share
either from one time period to another or from one
hotel to another. This facility appears to be the primary
reason why hotels have been drawn to work so closely
with them. Some mistake the contribution from share
shifting to be creation of incremental new demand,
however, the overall demand patterns recorded for the
last 20 years, and consistent for the last 10 since the
advent of the OTA model, do not support this. Due
to finite and limited demand, especially at the comp
set level, the dynamic usually plays out as a zero sum
game. One hotel wins at the expense of the others
in their immediate comp set or in the nearby market.
But, even so, there is still often “not enough to go
around” to those contending for the limited demand.
Executive Summary
Sometimes, in a high demand market, several hotels
will gain share, but as demand through the OTA channel grows in the comp set, since demand for hotel
rooms is always finite, at some point, it will divert business from other channels. The data in the study from
2009 through June 2011 point to brand.com as the
primary channel that loses as the OTA channel grows;
it also appears that when the brand.com channel
grows, the OTA channel share shrinks. This may occur
because both are “fishing in the same pond” and
tapping many of the same channel-agnostic online
shoppers. Hotels should develop the tools to share
shift the business from all channels, not limit share
shifting just to the OTA channel. Taking business from
a competitor through voice, GDS or brand.com could
incur lower transaction fees and may have less of an
impact on the ADR. Share shifting largely occurs (1)
from one hotel to another in the same or a different
chain scale, (2) from one time period to another and
(3) from one channel to another. In a model where a
marketer allocates resources to acquisition, persuasion, and retention, hotels would benefit by working
harder at converting existing traffic from all channels
at higher rates (persuasion), and on retention, rather
than solely focusing on acquisition which can be most
expensive, especially without a strong conversion and
retention plan.
Intermediary Distribution Costs—
Estimated 2010 and 2015 Scenarios
2010
Intermediaries
a. Industry Level: For anyone concerned about the
almost $4 billion paid to third parties in 2010 (as
estimated in this study), the prospect of paying double
that amount within 3-5 years may be shocking, but
not unrealistic. When the U.S. hotel industry ADR in
2010 appears to be $10 below the inflation-adjusted
rate charged in 2000, these added costs aggravate an
already challenging profit picture for a hotel owner.
On $10 billion in OTA revenue in 2010 (consumer
spending on hotels), the OTA commissions and
transaction fees are estimated in this study to cost the
Estimated
Costs
OTA
$10 billion*
$2.5 billion
GDS
$11 billion
$1.3 billion
TOTAL
$21 billion
$3.8 billion
*estimated consumer spending through OTAs: hotels collected $7.7
2015
Intermediaries
50% of total
revenue: metasearch, mobile,
social, OTA,
travel againcy
Revenue
(Base: $100
billion)
$50 billion
Estimated Costs
(based on 15%
of revenue)
$7.5 billion
industry approximately 25% or $2.5 billion. (Refer
to the Intermediary Distribution Costs chart.) Add to
that the 12% in commission and fees on $11 billion
sold through the GDSs (also estimated in this study),
and the major third party agencies incurred distribution costs of approximately $3.8 billion (3.8% of the
overall industry total of $100 billion in room revenue1).
Projecting the current trend of increased online access
and a spike in mobile usage for hotel buying, the
potential exists for the industry to pay commissions
or transaction fees on as much as half of the business when more is booked online and large media
enterprises control access to that demand. To play out
this scenario, assuming an estimated 15% cost margin
on average charged against 50% of total revenue (using the 2010 baseline of $100 billion), this could cost
the industry close to $7.5 billion or 7.5% of the total
room revenue2.
3. Costs and Benefits of Distribution
Each channel carries distribution costs; the range is
wide and can run from 10% to 50% of revenue.
Hotel owners and managers have not always measured the full cost of distribution consistently and have
not factored these costs into channel decisions. Too
often, when hotels price rooms below marginal and
fixed costs with an eye toward cash flow, they will
withstand long-term negative effects on rate structure
and profit. However, costs in 2010 may look reasonable when compared to where they might be in 2015.
The following is a hypothetical scenario using 2010
business volumes and estimated costs and projecting a
potential outcome in 2015 with many new intermediaries in the hotel sales path.
Revenue
(Base: $100
billion)
b. Property level: Managing costs and channel mix
will become a priority. To illustrate this hypothetical
situation for an individual property, a relatively small
hotel with $3 million in annual room revenue may
be facing distribution costs of $225,000 or more per
year (refer to Hotel Distribution Costs chart), up from
$150,000 in 2010. Due to the prevalence of net rates,
not all costs may be documented on the P&L.
This estimate does not include travel agency business booked
through other sources besides GDS, or traditional wholesaler business that may substantially raise the third party-sourced revenue
and associated costs in many hotels.
2
These numbers are estimates to illustrate a scenario that reflects
an anticipated large increase in third party participation in hotel
shopping.
1
Published by the HSMAI Foundation
7
The wide range of profit contribution by
each channel, and the fact that some
channels in some markets may deliver
rates that drop below the break-even
point, creates urgency for a deeper dive
into a hotel’s channel mix. Knowing the
costs associated with each channel will
be essential for managing a hotel in the
highly fragmented distribution landscape, even when these costs do not appear as line items on the P&L statement.
It is equally crucial to evaluate the full
benefit from a channel including length
of stay, ancillary spend and repeat and
referral potential.
Hotel Distribution Costs
Estimated 2010 and 2015 Scenarios
Hotel
Room
Timeframe Revenue
% through
Average
Dominant
Estimated
third party
cost as
third party
Distribution
intermediaries % revenue intermediaries Costs
2010
$3,000,000
25%
20%
OTA, GDS,
Travel agency
direct
$150,000
2015
$3,000,000
50%
15%
Meta-search,
Mobile, Social/
travel inspiration, OTA, GDS,
Travel agent
direct
$225,000
Some of the costs are easier to identify
such as the portion that is transactionbased, while others may be less visible such as the degree to which rates have to be lowered to accomplish
the goal of shifting share and the impact a channel may
have on a hotel’s ability to engage its customers. Each
channel will vary and, therefore, needs to be carefully
assessed. Shifting share is a good objective to expect
from each channel partner, but it has to be done with a
mix of channels that yields optimal profit. Shifting share
to gain occupancy without regard for the price incurred
is rarely beneficial to a hotel in the short term and never
in the long term.
utilize the travel-specific search tools, which then may
make it more difficult for travel marketers with limited
budgets to use this resource cost effectively; (3) limit
the leverage a hotel or brand has in negotiation over
cost since there is no inventory involved and fees may
be incurred whether there is a booking consummated
or not; and (4) expand its role in travel planning, with
added tools like the travel inspiration tool Schemer to
further cement its already strong position as the point
of entry for a majority of travel buyers.
b. New players, such as Facebook, already in a relationship with Microsoft (active in travel search with
Bing), and Apple, possibly in partnership with Kayak
(or other meta-search sites, like Room Key, with access
to a robust travel inventory), are dabbling in travel and
can gain traction quickly due to deep pockets and
a high level of consumer adoption. Likewise, large
consumer sites like Amazon, eBay or other consumersavvy retailers as well as media companies who need
to expand their traditional reader base like USA Today
or The New York Times may well get in the game. It
is not clear which business models they will offer and
what kind of control a hotel may have to gain visibility
and participate cost effectively. The traditional travel
shopping path of the browser-to-search-engine model
will likely be diversified with new methods including
direct access to travel shopping through mobile devices, social sites and through some new search media
such as voice-activated (e.g., Apple’s Siri, Google’s
Majel, Microsoft’s Tellme) or map-based models,
which lend themselves well to travel planning.
Careful tracking of costs and benefits by channel can
lead a hotel to pursue a channel mix that results in
higher profits. Shifting focus from generating revenue
to generating profit will be a change for many revenue managers, but a useful perspective to apply to
inventory and rate decisions.
4. Threats and Opportunities on the Horizon
There are new threats that are emerging in the
distribution ecosystem; with these threats comes opportunity. Hotels will have to be cautious and monitor
the environment. Some new channels may incur high
costs and provide hotels minimal leverage for negotiating acceptable terms and some may prove to be
highly effective venues to reach a large customer base
at a reasonable price; the outcome will depend on the
manner in which hotel companies engage them early
in their development.
8
a. With a clear domination in general search, if Google
becomes equally successful in travel search it may:
(1) bias the search results to point travelers to the
advertisers most active in using the Google travel
tools; (2) create competition for those wanting a
prominent position in search results thereby pushing
up the cost of acquisition for any hotel that wants to
AN AH&LA and STR Special Report
c. The primary source of potential new incremental
demand for hotel rooms in North America in the
upcoming five-year time horizon (and likely beyond) is
through inbound international travelers from the rapidly growing economies, especially China and India.
Executive Summary
Third party vendors may dominate these markets and
train the consumers to use them before hotel brands
have a chance to gain recognition through their hotel
development efforts in those markets. Whoever gets
the Chinese and Indian consumers in the habit of
using them to book travel to Europe and the United
States may hold onto that position for a long time because early adopted habits may be hard to break. For
the secondary or tertiary U.S. markets that are unlikely
to benefit from the inbound global demand, there will
be some general improvement in demand in all hotel
segments as the economy improves.
d. Some third party distribution channels with strong
marketing positions may choose to offer services similar
to those that current franchise and brand organizations
may provide. This may create a new type of model that
will compete with the legacy franchise and brand operators as a kind of “soft brand” based on the strength
of the third party’s ability to (1) maintain a brand presence (2) provide a meaningful reservation contribution
(3) maintain quality metrics for consumer evaluation
and (4) offer the benefits of frequency/loyalty programs.
5. New Priorities in the Distribution Landscape
Due to the anticipated rapid growth in consumers’ use
of search, mobile and social tools for travel shopping,
planning and booking, a hotel has to become conversant in the multitude of ways these tools may be
utilized. Each hotel and hotel company should have a
plan for how to leverage the opportunities presented.
Given how quickly consumers have adopted mobile
and social media tools, the need is immediate to
develop strategies for each. Taking advantage of the
native mobile environment and building functionality
that is purpose-built for it will be essential to succeed
in this space. Although the current mobile apps focus
on “last minute deals,” as mobile access grows, more
robust capabilities will be demanded by consumers
such as voice-activated or map-based capabilities.
Hotels will benefit from moving away from offering
“cheap deals” and into higher value offers tapping
mobile’s unique functionality that lends itself so well
to travel planning. Mobile users are not likely to use
dozens of travel apps so there will be a shakeout at
some point, and hotels have to be sure they make the
cut. Monitoring and testing the new travel-specific
search models will also be important since they are
likely to become another major set of portals through
which consumers will explore their travel options.
Social sites are quickly evolving into sales channels.
Consumer review sites, Facebook business and fan
pages and travel inspiration/trip planning sites with
heavy social components will all offer opportunities to
travelers to gather information and then refer them
to suppliers. Search, mobile and social media tools
will need to be mastered for their role in merchandising, as information sources, and as commercial
transactional platforms. Costs and benefits have to be
monitored every step along the way.
Shifting focus from generating
revenue to generating profit
will be a change for many
revenue managers, but a
useful perspective to apply to
inventory and rate decisions.
6. Consumer Media and Commoditization
of Hotel Rooms
Knowing that a dominant theme being conveyed to the
consumer in the current marketplace is that last minute
bookings typically result in discounted hotel rooms,
hotels have to be mindful of the implications that
message sends and reinforces with the consumer. It
renders hotel rooms to be a commodity purchase with
the primary distinguishing feature being price, with
secondary consideration for quality level. When hotels
provide “last minute” inventory, they are fueling the
spread of this message. In the short term, it can reduce
rates and profits, but in the long term, it reinforces the
message that it is better to wait until the last minute
to book a room to get the best rate, and that there is
little difference between any hotel at a given quality
level — any hotel will serve the same purpose for the
traveler. For the hotelier, this (1) makes forecasting more
difficult; (2) lowers rates overall; (3) reduces the volume
of high rated business booked further out from arrival;
(4) causes consumers to believe that there is little difference between hotel brands; and (5) puts into question
the issue of who “owns” the guest. Besides causing
some hotels to operate with a disproportionate amount
of marginally profitable business, on an industrywide
level, the brand erosion may be one of the most
damaging outcomes of the situation. With brand erosion comes the associated marginalization of frequent
guest programs that are currently vital to the chains
for sustaining a recurring profit stream from a base of
repeat customers. With third parties pursuing the same
customers as hotels, and even deploying similar tactics
(best rate guarantees and loyalty programs), the question of who controls the guest relationship may strongly
affect the value proposition of a brand.
Published by the HSMAI Foundation
9
8. Billboard Effect and Online
Attribution Models
The number of factors influencing how a hotel booking is consummated is large and untested; there has
not been a conclusive study in the lodging industry to
determine how to independently credit the source(s)
of direct bookings to a hotel or hotel brand. Because
each hotel or hotel brand has its own set of customers, each needs to examine the websites, media, and
other promotional vehicles that are part of the travel
shopper’s sales path (there are many billboards) and
work on testing which one(s) can be credited with
affecting the booking decision. This will likely differ by
many variables including customer group, hotel brand,
hotel type, season, day-of-week and trip purpose.
Before deploying significant marketing resources to
generate online traffic, deepen engagement and trigger bookings, the hotel marketer should decide how
much credit to apply to each element of an online
marketing plan so the resources are most effectively
applied to meet the marketer’s objectives.
10
7. The Transparency of the Internet
9. Optimal Channel Mix
Each hotel has an optimal channel mix; this is the case
whether the hotel is in the U.S. market or anywhere
else globally. It is affected by supply and demand; the
number of rooms booked through the channel, and at
what room rate; the strategy of each competitor; and
the position of each hotel in its marketplace. Most of
the hotel business in North America remains a “street
corner” business. Other than destination hotels and
resorts, which have their own competitive dynamic,
most hotels in highly populated areas compete with
their immediate neighbors. Understanding the hotel’s
potential in its marketplace will drive its tactical actions and refine the decisions of its management in
terms of pricing, marketing and yield management.
Being mindful of the use of discounting to drive
demand and the affect it has on overall ADR is at the
heart of achieving an optimal channel mix. Improving
techniques to systematically evaluate merchandising
through every channel will go a long way to improving
conversion rates on existing traffic even when incremental traffic is not available. If a hotel can accurately
set objectives for its optimal channel mix, it is more
likely to achieve them through better use of marketing
resources and more targeted and decisive actions.
Although the OTA channel may only represent 10%
or less of most major hotel chain demand, due to the
prominence and transparency of rates on the Internet,
along with rate parity guidelines, the rates posted on
these sites affect those sold through the channels that
bring the other 90% of a hotel’s business. The same
is likely to hold true for new media sites and mobile
applications. Meeting planners, corporate travel
managers, citywide attendees, and others will often
check the rates offered online through third parties,
and those rates will influence the negotiation of rates
sold through all other channels. This is a major departure from the “old days” when the rack rate was the
anchor and all other rates keyed off that rate. Now,
hotels set the highly prominent OTA rate and the other
rates are likely to cascade from that. The public nature
of the OTA rate, or for that matter any other rates
offered online, along with rate parity terms, also limit a
hotel from offering a range of customized rates and/or
value packages to sub-segments of its customer base
so it seems that there is often a “one-rate-fits-all” pricing structure. This undermines the power of marketing
which is a discipline built on a foundation that calls
for offering relevant products and services with corresponding rates by segment in order to best meet the
needs of each customer group. Rates are often diluted
by (1) the pressure to keep prominent online rates as
low as possible, (2) the reality that many customers
have been trained to believe that he or she will find
a lower rate closer to arrival, and (3) a propensity for
hotels to think that the demand generated by lower
rates will always compensate for the rate reduction.
AN AH&LA and STR Special Report
10. The Devil We Know, The Devil We Don’t
While it is easy for a hotel to agonize over high-cost
channels or limited demand in a market, knowing the
available demand generators, the costs and benefits of
each, and which ones are a good fit at any given time
is the best defense in times of economic adversity. As
long as a hotel has control of its inventory and pricing,
Executive Summary
one of its most crucial marketing decisions will be
about its channel mix, which reflects the way in which
that inventory is sold. Riskier even than lowering rates,
ceding control of inventory (or access to inventory) —
such as offering last room availability, especially for low
value business — can do great damage to near- and
long-term profits if it is not tightly controlled.
There will be many emerging new distribution opportunities; some will be booking channels, others will
be marketing and referral channels. Learning how to
assess each opportunity is essential given the rapidly
changing nature of the distribution environment.
With eyes wide open, a hotel management team has
to confront its market position, establish its optimal
channel mix and use every tool available to achieve its
objective. The mature nature of hotel demand in the
U.S. market has to be taken into account and hotels
have to realize that with a slow-growing market pie,
they will spend most of their time shifting share from
their competitors, who at the same time will be trying
to do the exact same thing to them. Historically, hotels
have not focused clearly on their channel mix, have
not had the metrics or inclination to manage this way,
and have not systematically worked on merchandising
techniques to improve conversion, retention and ancillary spend in each channel.
Leveraging new distribution opportunities, knowing
they will primarily facilitate share shift, should put a laser
focus on managing demand in lockstep with associated
costs. In the absence of buoyant demand, the share a
hotel gets of that limited demand has to deliver optimal
profit. Placing an emphasis on generating ancillary
revenue will be part of the centerpiece of a successful
hotel’s revenue strategy. Many channel partners will
promise to grow a hotel’s “slice” of the comp set “pie,”
but each also takes a bite in exchange for helping. This
“bite” may also include less visible costs such as the
need to impose deeper discounts on the rate in order to
accomplish the desired shift in market share. The hotel’s
actions determine the size of its slice and how many
bites are left after all channel partners are compensated.
In the interest of a sustainable profit stream to support
a hotel’s employees, its community, and its customers,
how much can a hotel keep for itself?
Leveraging new distribution
opportunities, knowing
they will primarily facilitate
share shift, should put a laser
focus on managing demand in
lockstep with associated costs.
Published by the HSMAI Foundation
11
12
3
4
5
Five Actions a Chain/
Brand Can Take Now
12
3
4
5
Invest in and develop internal and external low-cost
channels with as much control over rates, inventory
and branding as possible. If you can only focus on one
new thing internally, get your mobile strategy right.
Build up programs to expand high margin ancillary
revenue streams through centrally controlled channels
and facilitate the same for hotels to supplement efforts
at the local level.
Hold the line as tightly as possible on costs for existing
and emerging channels keeping in mind that a growing
percentage of the business going forward will pass
through intermediaries prior to arriving at brand-controlled channels.
Audit every channel to ensure it is capturing the most
incremental business possible from all traffic that passes
through it; view all channels through the same multichannel lens the customers use so the management
and development of them is integrated. Investigate and
develop attribution modeling, examining all channels to
understand which touch points are contributing to the
bookings.
Tap the intelligence you have about your customers
and apply it extensively at every touch point possible to
optimize acquisition, persuasion and retention through
customer service and merchandising. This may be the
primary advantage a hotel chain can leverage when
competing with the many new third parties that have
strong adoption in consumer markets but limited
knowledge of hotel customer’s personal preferences
and stay patterns.
12
AN AH&LA and STR Special Report
Five Actions a Hotel
Manager or Owner
Can Take Now
Determine a hotel’s optimal channel mix and manage
to that objective. Determine the potential for the hotel
based on the nature of market demand, competitive
behavior and consumer perception.
?
Monitor the hotel’s ability to manage its channels
relative to its competitors in the marketplace as well
as new channel opportunities that arise in the market.
Compare channels in their ability to shift share and
the cost they each incur including transaction fees,
commissions, impact on rate and impact on customer
engagement.?
Seek out, develop and invest in channels that help
acquire, engage, and retain customers and also create
sustainable profit streams.?
Guard your most valuable assets: a hotel’s pricing
structure, inventory and brand — this applies equally
to national branded hotels and independents. Evaluate
channel opportunities carefully before putting these
assets at risk. Price smart.
Conduct a systematic audit of every channel to ensure
it is functioning at its peak, that the channel and the
processes supporting it are designed for the customers
it is best suited to serve, and that its position in the distribution ecosystem makes it accessible and compelling
in comparison to its competitors.
doc_150861278.pdf
This study is the culmination of research on distribution practices, the distribution landscape and hotel performance based on channel mix.
AN
A H& L A
an d
S TR
S p e c i al
R e p o rt
Distribution Channel Analysis:
a Guide for Hotels
Cindy Estis Green &
Mark V. LomanNo
Published by the HSMAI Foundation
Executive Summary —
Appendix 1 Channel Analysis
Distribution
The Ten Things You Should Know,
Detailed Findings and Implications
T
his study is the culmination of research on distribution practices,
the distribution landscape and hotel performance based on
channel mix. Distribution costs have been rising steadily. As current and emerging intermediaries take advantage of an active
digital travel market, they will wield substantial influence as gatekeepers,
imposing fees and charges for directing the consumer traffic to the hotel.
Growth in digital travel shopping will expand the transparency of hotel
pricing structures putting additional competitive pressure on rates.
The combination of the higher booking volumes passing through
intermediaries, the costs imposed for intermediation and the pressure
on rates will challenge the hotel owner and manager to maintain profit
levels. This report and analysis is meant to be a starting point for any
member of the hotel community to better understand distribution
dynamics and its impact on hotel profitability.
The focus of the study is primarily on
the U.S. hotel industry, and although
many of those interviewed manage distribution worldwide, and the strategic
issues are global in scope, they may play
out differently in different parts of the
world. It also focuses on the transient
business so although the increased
usage in third party intermediaries
in the group/meetings segments is
recognized as a distribution issue,
it is not addressed in this study.
1
AN AH&LA and STR Special Report
Published by the HSMAI Foundation
1
The Ten Things You
Should Know
1 Hotel demand in the U.S. market is “price inelastic”
on an industrywide basis for all hotel types. That
means lowering prices will not stimulate enough
incremental demand to make up for the rate reductions; there isn’t enough demand in most markets to
compensate—therefore, the net result of lower rates
is lower revenue levels. This is mainly due to limited
demand for lodging services overall in a mature U.S.
hotel market.
2 On a property level, a hotel may be able to lower
prices in certain circumstances to generate enough
demand within a comp set to result in a net positive
revenue outcome. However, because the rates are so
transparent and prominent in current and emerging
digital venues, by the time the competitors match the
lowered rate, the first hotel that lowered its rates loses
any benefit in terms of a demand bump and the entire
competitive set may have a harder time increasing
rates commensurate with the increased cost of doing
business.
3 The U.S. hotel market at the comp set level oper-
ates as a near zero-sum game. The fact that there
has been limited hotel demand growth in the U.S.
market (averaging 1.6% year-over-year for the last
20 years) means that any claim that a channel vendor
will create substantial new industry level demand is
unrealistic. Channel vendors may be very effective in
helping a hotel shift share, from one hotel to another
or one time period to another. Despite the fact that
they might generate some new demand coming from
inbound international markets, they are unlikely to
bring meaningful incremental demand into any U.S.
marketplace in the near term.
4 Hotels rooms are for sale in a dynamic and volatile
distribution landscape that is launching many market
savvy and financially well-endowed “gatekeepers”
who will become a new breed of third party intermediary (e.g., Google, Facebook, Apple); their power will
grow as they gradually become the preferred points
of entry for consumers to do travel shopping and
buying. They will charge fees for referrals to hotels
and, while there is no firm evidence pointing to an
exact number, it is plausible that upwards of half of
the hotel business could ultimately pass through third
parties before being delivered to a hotel or brand;
2
AN AH&LA and STR Special Report
also possible is that costs may run as much as 10%
to 20% of revenue for this emerging new network.
Although they also pose great opportunities, how
the hotel brands manage them in the near future will
be critical to the longer-term outcomes and hoteliers
will have to remain vigilant to ensure that each new
channel has a reasonable return on investment. The
categories to watch are meta-search (e.g., Google,
Hotel Finder, Room Key), social (e.g., Facebook, Trip
Advisor) and mobile (e.g., all OTAs, all hotel brands
and new mobile-only players). New technologies
like voice- and map-activated applications that are
suited to the native mobile environment will become
attractive substitutes for the traditional search engine
browser for consumers to initiate their shopping and
buying. Even when these new third parties send a
hotel its business directly, they will charge referral
or media fees and these bookings will still require a
technology infrastructure to support the inquiries and
transaction delivery, all adding to the cost.
5 For those concerned about intermediary costs such as
the estimated $2.7 billion cost of OTA commissions in
2010 (as calculated and estimated by this study) or the
additional estimated $1.3 billion paid to retail travel
agencies through the GDSs (as calculated and estimated by this study), the prospect of paying double these
costs to a widening array of third party intermediaries
within 3 to 5 years may be shocking, but it is not unrealistic. Using a hypothetical example, a hotel with $3
million in room revenue may have paid $120,000 to
$150,000 in distribution costs in 2010 and may well
be paying close to $200,000 to $250,000 by 2015.
When the U.S. hotel industry ADR in 2010 appears to
be $10 below the inflation-adjusted rate charged in
2000, these added costs aggravate an already challenging profit picture for a hotel owner.
6 The primary source of new incremental demand in
the U.S. market will come internationally. Despite
security restrictions on inbound travel to the U.S., the
growing number of Chinese and Indian travelers will
provide meaningful growth in major markets. Many
large hotel companies are building brand awareness
in China and India through aggressive hotel development efforts, but the third parties with marketing
savvy and substantial budgets also have their eye on
capturing this lucrative inbound demand potential and
are laser-focused on securing adoption and loyalty
as a reservation channel of choice within these new
markets, making them crucial players in the consumer
hotel selection process.
Executive Summary
7 Some third party distribution channels may start to
offer similar services as those provided by current
franchise and branded hotel organizations. They may
develop into a kind of “soft brand” to support client
hotels by (1) maintaining a brand presence, (2) providing substantial reservation contribution, (3) maintaining quality metrics for customer evaluation and (4)
offering the benefits of a frequency/loyalty program.
8 For the hotelier who does not take proper precautions
and execute careful planning and control, “last minute” pricing strategies can (1) make forecasting more
difficult; (2) lower rates overall; (3) reduce the volume
of high rated business booked further out from arrival
(why book early when you can wait and get a better
deal?); (4) cause consumers to believe that there is
little difference between hotel brands (there is a growing commoditization of hotels as a product); and (5)
put into question the issue of who “owns” the guest
by making the reservation portal the “place to go” for
hotel buyers and, in so doing, potentially degrading
the value of the hotel brand.
10 With a highly fragmented distribution network and
limited marketing resources, it is imperative for hotel
marketers to understand which promotional efforts
to credit with their bookings. The Cornell’s Center
for Hospitality Research (CHR) published two studies
concluding that Expedia creates a “billboard effect”
that causes a major lift in a hotel’s website bookings.
The studies documented specific hotels in conditions
that may not mirror a realistic situation for many hotels
and do not address variables that may influence the
findings in a meaningful way. It would be misleading
for a hotel marketer to assume that the study findings
can be projected to his or her own hotel. However, the
study has become part of the industry dialogue that
has lead many hotel companies to develop “attribution models” that systematically help the brands figure
out how much to credit each consumer touch point
with its contribution to bookings. There is no simple
answer to this question and it will become even more
complex as new channels come online making a clear
case for brands and marketing partners of independents to focus on this question in order to most
efficiently deploy marketing resources.
9 The prominence and transparency of rates on the
Internet and emerging mobile applications, and the
concern for “rate parity” to keep the same rates in
all channels, may result in a “one-rate-fits-all” pricing
structure for many hotels. This undermines the power
of marketing which is a discipline built on a foundation
that calls for offering relevant products and services
with corresponding rates by segment in order to best
meet the needs of each customer group. Rates are
often diluted by (1) the pressure to keep prominent
online rates as low as possible, (2) the reality that
many customers have been trained to believe that he
or she will find a lower rate closer to arrival, and (3) a
propensity for hotels to think that the demand generated by lower rates will always compensate for the
rate reduction.
Published by the HSMAI Foundation
3
Detailed Findings
Prices, Price Elasticity and Demand
4 In the mature U.S. lodging market, with demand
growth for hotel rooms over the last 20 years averaging 1.6% per year, and indications that this pattern
is likely to continue for the foreseeable future, the
primary expectation of hotels from their distribution
channel partners will be in shifting demand share,
rather than generating new incremental demand.
4 Aggregate hotel room demand was found to be relatively inelastic. This is true both at the total U.S. level
as well as for each Smith Travel Research (STR) chain
scale category. That means that a reduction in room
rate will yield growth in demand, but not enough to
offset the lower price charged for the room resulting
in a net negative result in room revenue. This generally
applies at the property level as well, but can play out
differently under certain competitive conditions.
4 If increases in hotel room rates are not at or above the
inflation rate, then the price increases year-over-year
are not sufficient to cover the increased cost of doing
business. When ADR growth was examined over time,
the U.S. industrywide ADR in 2010 was approximately
$10 below the inflation-adjusted rate charged in
2000.
Channel Production Profile and
Relationship Between Channels
4 More than eight in ten room nights (81%) in 2010
were booked through direct channels — voice, brand.
com, property direct — as opposed to almost 20%
through third party channels (online travel agency or
OTA, global distribution system or GDS).
4 Greater than one-third (35%) of the hotel room bookings in 2010 came to the hotel digitally (i.e., brand.
com, OTA and GDS), up from 33% in 2009. This
component is expected to continue its upward trend
through 2011.
4 West coast markets tend to have a much higher percentage of their room nights booked through digital
channels than other parts of the country.
4 There appears to be an inverse relationship between
customer usage of brand.com and the OTA channels.
The data showed that when the percentage of bookings through one of these two channels rose there
was a decline in the percentage booked through the
other and vice versa. A more detailed analysis of this
pattern should be undertaken to better understand
the magnitude and nature of the relationship.
4
AN AH&LA and STR Special Report
4 The flow-through of revenue to gross operating profit
(GOP) or net operating income (NOI) by channel varies
dramatically when the full cost of hotel operations
are applied to a hotel’s base revenue. An examination of some chain scale average rates and expenses
by channel reveal that some hotels do not attain a
high enough average rate in every channel to cover
the hotel operating expenses. An analysis of average distribution costs versus average ADR for 2010
indicated that the average contribution to NOI for the
respective booking channels in the mid-scale limited
service hotels had a range of $29 per room night from
the highest to lowest channel with an average hotel
average daily rate (ADR) of $76.13. The spread for
upscale full service hotels was $75 from highest to
lowest contribution by channel to NOI per room night
with a hotel ADR of $132.46. (Note: the analysis of
marginal costs applied to incremental room revenue is
a different model and both models are included in the
chapter on Distribution Costs and Benefits.)
4 Length of stay and ancillary spend vary widely by
booking channel and can impact revenue and profit
and therefore, have a meaningful effect on channel
mix evaluation.
Individual Channel Profiles
4 Brand.com continues to capture a larger share of
both the absolute number of rooms booked and the
percentage of total rooms booked in year-over-year
comparisons representing (in 2010) 16.4% of the
demand and 18.5% of the revenue.
4 Central Reservation System (CRS)/Voice share of total
rooms booked continued to decline in 2010 as more
consumers shifted to digital channels. However, this
channel still accounts for more than 13% of all rooms
booked and 17% of revenue.
4 Property Direct/Other remains by far the largest booking channel for each chain scale category although
it is a mixture of group/meetings, walk-in, contract
and other local business so cannot be easily compared between hotel segments. However, the erosion
caused by digital channels in both demand and room
revenue share is dramatic and consistent. Nonetheless,
in 2010, it contributed 51.4% of demand and 45.9%
of revenue.
4 GDS bookings, which are dominated by transient business travelers, grew substantially in 2010 as the lodging
demand in this segment rose rapidly. It represented
8.3% of demand and 10.8% of the revenue in 2010.
Executive Summary
Online Travel Agency (OTA) Profile
4 OTA share of room night bookings grew substantially in
2010 over 2009, representing almost 11% of all room
night demand and 7.7% of the revenue.
4 Historically the highest percentage of OTA penetration
had been in the higher end chain scale segments. Beginning in 2010, the economy and mid-scale chain segments
experienced a notable jump in that they captured the
highest percentage of rooms booked through OTAs of all
the chain scale categories.
4 All three of the OTA business models (i.e., merchant, retail
and opaque) experienced growth in both their demand
and room revenue share in 2010 over the prior year. Of
the three, the retail segment was the fastest growing in
2011 largely driven by Booking.com’s entrance and success in the U.S. market.
4 There has been a recent shift in the percentage of total
room revenue booked through the OTAs. Between 2001
and 2009, the OTA share of total room revenue booked
experienced big jumps primarily when the economy
dipped, and leveled off when lodging demand growth
was strong. However, this pattern seems to have changed
in 2011, in a year when the economy was recovering and
lodging demand rebounded strongly; the OTA channel
had a notable rise in revenue likely due to strong growth
in the retail model, higher rates overall, and the rise in use
by the economy and midscale hotel segments.
4 Spending on hotel rooms by the guest was estimated by
this study to be approximately $2.7 billion higher in 2010
than what was reported on hotel profit and loss (P&L)
statements due to the portion of the revenue collected
directly by the OTA (using the merchant and opaque
models) that did not pass through the hotels.
4 When the actual customer spend collected by the OTAs
(using the merchant and opaque models) is factored into
industry room revenues, total overall U.S. average room
rates nationally increased about $2.35 in both 2009 and
2010, to more than $100.
4 The OTA model, supported by healthy profit margins, is
popular in the investment community. For example, in Q3
2011 Priceline’s market capitalization was more than $27
billion, which was almost three times that of any hotel
company. Ironically, this value transfer from hotel companies to their intermediaries is largely fueled by the hotel
fees and commissions making up the majority of the OTA
profits.
Marketing and Distribution Strategy
4 The two largest consumer media budgets applied in the
promotion of hotels in the United States are spent by
OTAs and hotel brands. In 2010, the OTAs outspent the
hotels more than 2-to-1 in TV advertising and almost
4-to-1 in online paid search advertising.
4 Most hotel performance is evaluated on the basis of total
room revenue. Little is known about how each hotel
performs compared to its competitive set in terms of
channel mix and how that mix affects overall relative performance. Lack of data on this subject limits the hotel’s
ability to monitor and manage by channel.
4 The online consumer sales path is complex. Although it
would be helpful for marketing planning purposes, there
has not been an industrywide analysis of online attribution to determine which promotional vehicles should be
credited with triggering hotel website (brand.com) bookings. The only studies published on this topic came from
Cornell’s Center for Hospitality Research in October 2009
and April 2011, both of which referred to a “billboard
effect.” The two CHR “billboard effect” studies document outcomes, but do not prove causation between
a presence on Expedia and production of brand.com
bookings. While helpful to focus industry discussion on
an important topic, neither the April 2011 study nor the
earlier “pseudo-experiment” in October 2009 sufficiently
tested all the variables involved in the complex issue of
identifying and appropriately crediting each of the many
touch points that lead to brand.com bookings.
The first “billboard effect” study in October 2009, called
a “pseudo-experiment,” looked at brand.com production
to see if it increased or not while the four test hotels were
cycled on and off Expedia. It concluded that a presence
on Expedia increased brand.com bookings significantly,
however, it did not consider the fact that other promotional activity was undertaken by those four properties
(or their parent brands), and this activity could also have
a material effect on brand.com bookings. It also did not
test whether ranking the test hotel in a position other
than the top of page 1 would make a difference to the
number of brand.com bookings. The more comprehensive April 2011 study of 1,720 hotel bookings does not
give any credit to the other seven to eight travel websites
visited by consumers in the run-up to each booking, nor
does it evaluate email, offline advertising, banner ads or
any other commonly used promotional vehicles, each
of which may create the effect of an added “billboard”
on a travel shopper’s path. It also does not consider rank
placement on the OTA. Both studies examine Expedia
in isolation, in an environment where many points of
contact play into the outcomes, and neither study factors these other touch points in or out of the consumer
decision process. The industry would benefit from a more
comprehensive examination of this topic.
4 The three greatest emerging forces in online distribution
are: search, social media and mobile. Driven by consumer
behavior and some large influential online companies such
as Google, Facebook and Apple, these three categories are
dynamic and volatile and are likely to dramatically change
the travel shopping/booking paradigm and, with it, the
overall hotel distribution landscape over the next 2-3 years.
Published by the HSMAI Foundation
5
Implications
of the Findings
The online environment imposes constant and
significant changes on lodging distribution. Paradoxically, the more diffused consumer Internet
usage with its many new emerging website types,
the more centralized the players will be that control
it. The power will be in the hands of gatekeepers
who control consumer access, and many are vying
for that position, especially in the travel sector. This
doesn’t bode well for a fragmented industry such as
lodging that largely divides its ownership, management, and branding. There are already powerful
online media interests (e.g., Google, Facebook, and
the OTAs) that are well positioned to control the
traffic leading to the demand for hotel rooms. These
companies have deep pockets, centralized product
and marketing strategies and are rewarded by the
investment community for attaining near-monopoly
positions. This dynamic can push up the costs of
acquiring and retaining demand, and challenge a
hotel’s ability to achieve acceptable profit levels;
conversely, it can create competition between intermediaries that can be leveraged to the hotelier’s
advantage. To compete effectively and retain control
of pricing, inventory, and brand value, the hospitality industry has to make a substantial commitment
to manage a burgeoning array of transactional
and marketing channels and harness its customer
relationships, the asset it can control best, more
effectively than any third party intermediary. Given
the limited demand growth in the mature U.S. lodging market, distribution channel marketing will be
a primary tool used to shift existing share among
hotels. Proactively managing to an optimal channel mix objective will drive resource decisions for a
hotel, and although no one can make a consumer
choose a particular channel, a bias can be created
for direct channels, primarily through improved
content on a hotel’s own website and the application of consumer intelligence in the shopping and
buying processes to favor the use of direct channels.
Closely managing channel costs and choosing the
best mix of channel partners can refine a distribution strategy to deliver optimal results at a brand
and hotel level.
6
AN AH&LA and STR Special Report
1. Price Elasticity at the Competitive Set Level
The fact that year-over-year growth in hotel room
demand is small (1.6% average since 1990) is a factor
at the industry and local market level. Saying that this
demand is “price inelastic” means that room rate reductions on an industrywide level will not generate enough
incremental demand to compensate for the lower room
rates and, therefore, will result in eroded industrywide
room revenue. However, on a property basis, this price
elasticity plays out differently. For example, Hotel A can
lower its rates and as long as no other hotel matches
the lower rate, it is feasible that it can generate enough
incremental demand to come out net positive from a
room revenue standpoint. Unfortunately, Hotels B, C,
D, and E, in the competitive set, are unlikely to stand
by without also lowering their rates to ensure that they
get their fair share of the finite demand coming into
the comp set. Therefore, the result can be that Hotel
A gets some benefit, reduced by the degree to which
the others match the room rate, resulting in all hotels
ending up with lower rates and profits. As this dynamic
continues over time, all hotels in the comp set may well
continue to lower rates to try to be the one hotel in the
comp set that gets the short-term bump in demand,
but since they are all chasing the same limited demand,
it can become a “race to the bottom.” When these
rates get so low that a hotel can no longer sustain employment levels and capital reinvestment, it is not good
for the hotel, the community in which it operates, or its
customers.
2. Its All About Share Shift
As demand growth in the mature U.S. lodging industry
typically only varies in a narrow range from year to
year, incremental demand brought by any channel
partner will be marginal. However, each channel
can be viewed for its potential to “share shift” from
another hotel in its market, which is the primary
method a hotel can use to gain an advantage. OTAs
are particularly adept at helping a hotel shift share
either from one time period to another or from one
hotel to another. This facility appears to be the primary
reason why hotels have been drawn to work so closely
with them. Some mistake the contribution from share
shifting to be creation of incremental new demand,
however, the overall demand patterns recorded for the
last 20 years, and consistent for the last 10 since the
advent of the OTA model, do not support this. Due
to finite and limited demand, especially at the comp
set level, the dynamic usually plays out as a zero sum
game. One hotel wins at the expense of the others
in their immediate comp set or in the nearby market.
But, even so, there is still often “not enough to go
around” to those contending for the limited demand.
Executive Summary
Sometimes, in a high demand market, several hotels
will gain share, but as demand through the OTA channel grows in the comp set, since demand for hotel
rooms is always finite, at some point, it will divert business from other channels. The data in the study from
2009 through June 2011 point to brand.com as the
primary channel that loses as the OTA channel grows;
it also appears that when the brand.com channel
grows, the OTA channel share shrinks. This may occur
because both are “fishing in the same pond” and
tapping many of the same channel-agnostic online
shoppers. Hotels should develop the tools to share
shift the business from all channels, not limit share
shifting just to the OTA channel. Taking business from
a competitor through voice, GDS or brand.com could
incur lower transaction fees and may have less of an
impact on the ADR. Share shifting largely occurs (1)
from one hotel to another in the same or a different
chain scale, (2) from one time period to another and
(3) from one channel to another. In a model where a
marketer allocates resources to acquisition, persuasion, and retention, hotels would benefit by working
harder at converting existing traffic from all channels
at higher rates (persuasion), and on retention, rather
than solely focusing on acquisition which can be most
expensive, especially without a strong conversion and
retention plan.
Intermediary Distribution Costs—
Estimated 2010 and 2015 Scenarios
2010
Intermediaries
a. Industry Level: For anyone concerned about the
almost $4 billion paid to third parties in 2010 (as
estimated in this study), the prospect of paying double
that amount within 3-5 years may be shocking, but
not unrealistic. When the U.S. hotel industry ADR in
2010 appears to be $10 below the inflation-adjusted
rate charged in 2000, these added costs aggravate an
already challenging profit picture for a hotel owner.
On $10 billion in OTA revenue in 2010 (consumer
spending on hotels), the OTA commissions and
transaction fees are estimated in this study to cost the
Estimated
Costs
OTA
$10 billion*
$2.5 billion
GDS
$11 billion
$1.3 billion
TOTAL
$21 billion
$3.8 billion
*estimated consumer spending through OTAs: hotels collected $7.7
2015
Intermediaries
50% of total
revenue: metasearch, mobile,
social, OTA,
travel againcy
Revenue
(Base: $100
billion)
$50 billion
Estimated Costs
(based on 15%
of revenue)
$7.5 billion
industry approximately 25% or $2.5 billion. (Refer
to the Intermediary Distribution Costs chart.) Add to
that the 12% in commission and fees on $11 billion
sold through the GDSs (also estimated in this study),
and the major third party agencies incurred distribution costs of approximately $3.8 billion (3.8% of the
overall industry total of $100 billion in room revenue1).
Projecting the current trend of increased online access
and a spike in mobile usage for hotel buying, the
potential exists for the industry to pay commissions
or transaction fees on as much as half of the business when more is booked online and large media
enterprises control access to that demand. To play out
this scenario, assuming an estimated 15% cost margin
on average charged against 50% of total revenue (using the 2010 baseline of $100 billion), this could cost
the industry close to $7.5 billion or 7.5% of the total
room revenue2.
3. Costs and Benefits of Distribution
Each channel carries distribution costs; the range is
wide and can run from 10% to 50% of revenue.
Hotel owners and managers have not always measured the full cost of distribution consistently and have
not factored these costs into channel decisions. Too
often, when hotels price rooms below marginal and
fixed costs with an eye toward cash flow, they will
withstand long-term negative effects on rate structure
and profit. However, costs in 2010 may look reasonable when compared to where they might be in 2015.
The following is a hypothetical scenario using 2010
business volumes and estimated costs and projecting a
potential outcome in 2015 with many new intermediaries in the hotel sales path.
Revenue
(Base: $100
billion)
b. Property level: Managing costs and channel mix
will become a priority. To illustrate this hypothetical
situation for an individual property, a relatively small
hotel with $3 million in annual room revenue may
be facing distribution costs of $225,000 or more per
year (refer to Hotel Distribution Costs chart), up from
$150,000 in 2010. Due to the prevalence of net rates,
not all costs may be documented on the P&L.
This estimate does not include travel agency business booked
through other sources besides GDS, or traditional wholesaler business that may substantially raise the third party-sourced revenue
and associated costs in many hotels.
2
These numbers are estimates to illustrate a scenario that reflects
an anticipated large increase in third party participation in hotel
shopping.
1
Published by the HSMAI Foundation
7
The wide range of profit contribution by
each channel, and the fact that some
channels in some markets may deliver
rates that drop below the break-even
point, creates urgency for a deeper dive
into a hotel’s channel mix. Knowing the
costs associated with each channel will
be essential for managing a hotel in the
highly fragmented distribution landscape, even when these costs do not appear as line items on the P&L statement.
It is equally crucial to evaluate the full
benefit from a channel including length
of stay, ancillary spend and repeat and
referral potential.
Hotel Distribution Costs
Estimated 2010 and 2015 Scenarios
Hotel
Room
Timeframe Revenue
% through
Average
Dominant
Estimated
third party
cost as
third party
Distribution
intermediaries % revenue intermediaries Costs
2010
$3,000,000
25%
20%
OTA, GDS,
Travel agency
direct
$150,000
2015
$3,000,000
50%
15%
Meta-search,
Mobile, Social/
travel inspiration, OTA, GDS,
Travel agent
direct
$225,000
Some of the costs are easier to identify
such as the portion that is transactionbased, while others may be less visible such as the degree to which rates have to be lowered to accomplish
the goal of shifting share and the impact a channel may
have on a hotel’s ability to engage its customers. Each
channel will vary and, therefore, needs to be carefully
assessed. Shifting share is a good objective to expect
from each channel partner, but it has to be done with a
mix of channels that yields optimal profit. Shifting share
to gain occupancy without regard for the price incurred
is rarely beneficial to a hotel in the short term and never
in the long term.
utilize the travel-specific search tools, which then may
make it more difficult for travel marketers with limited
budgets to use this resource cost effectively; (3) limit
the leverage a hotel or brand has in negotiation over
cost since there is no inventory involved and fees may
be incurred whether there is a booking consummated
or not; and (4) expand its role in travel planning, with
added tools like the travel inspiration tool Schemer to
further cement its already strong position as the point
of entry for a majority of travel buyers.
b. New players, such as Facebook, already in a relationship with Microsoft (active in travel search with
Bing), and Apple, possibly in partnership with Kayak
(or other meta-search sites, like Room Key, with access
to a robust travel inventory), are dabbling in travel and
can gain traction quickly due to deep pockets and
a high level of consumer adoption. Likewise, large
consumer sites like Amazon, eBay or other consumersavvy retailers as well as media companies who need
to expand their traditional reader base like USA Today
or The New York Times may well get in the game. It
is not clear which business models they will offer and
what kind of control a hotel may have to gain visibility
and participate cost effectively. The traditional travel
shopping path of the browser-to-search-engine model
will likely be diversified with new methods including
direct access to travel shopping through mobile devices, social sites and through some new search media
such as voice-activated (e.g., Apple’s Siri, Google’s
Majel, Microsoft’s Tellme) or map-based models,
which lend themselves well to travel planning.
Careful tracking of costs and benefits by channel can
lead a hotel to pursue a channel mix that results in
higher profits. Shifting focus from generating revenue
to generating profit will be a change for many revenue managers, but a useful perspective to apply to
inventory and rate decisions.
4. Threats and Opportunities on the Horizon
There are new threats that are emerging in the
distribution ecosystem; with these threats comes opportunity. Hotels will have to be cautious and monitor
the environment. Some new channels may incur high
costs and provide hotels minimal leverage for negotiating acceptable terms and some may prove to be
highly effective venues to reach a large customer base
at a reasonable price; the outcome will depend on the
manner in which hotel companies engage them early
in their development.
8
a. With a clear domination in general search, if Google
becomes equally successful in travel search it may:
(1) bias the search results to point travelers to the
advertisers most active in using the Google travel
tools; (2) create competition for those wanting a
prominent position in search results thereby pushing
up the cost of acquisition for any hotel that wants to
AN AH&LA and STR Special Report
c. The primary source of potential new incremental
demand for hotel rooms in North America in the
upcoming five-year time horizon (and likely beyond) is
through inbound international travelers from the rapidly growing economies, especially China and India.
Executive Summary
Third party vendors may dominate these markets and
train the consumers to use them before hotel brands
have a chance to gain recognition through their hotel
development efforts in those markets. Whoever gets
the Chinese and Indian consumers in the habit of
using them to book travel to Europe and the United
States may hold onto that position for a long time because early adopted habits may be hard to break. For
the secondary or tertiary U.S. markets that are unlikely
to benefit from the inbound global demand, there will
be some general improvement in demand in all hotel
segments as the economy improves.
d. Some third party distribution channels with strong
marketing positions may choose to offer services similar
to those that current franchise and brand organizations
may provide. This may create a new type of model that
will compete with the legacy franchise and brand operators as a kind of “soft brand” based on the strength
of the third party’s ability to (1) maintain a brand presence (2) provide a meaningful reservation contribution
(3) maintain quality metrics for consumer evaluation
and (4) offer the benefits of frequency/loyalty programs.
5. New Priorities in the Distribution Landscape
Due to the anticipated rapid growth in consumers’ use
of search, mobile and social tools for travel shopping,
planning and booking, a hotel has to become conversant in the multitude of ways these tools may be
utilized. Each hotel and hotel company should have a
plan for how to leverage the opportunities presented.
Given how quickly consumers have adopted mobile
and social media tools, the need is immediate to
develop strategies for each. Taking advantage of the
native mobile environment and building functionality
that is purpose-built for it will be essential to succeed
in this space. Although the current mobile apps focus
on “last minute deals,” as mobile access grows, more
robust capabilities will be demanded by consumers
such as voice-activated or map-based capabilities.
Hotels will benefit from moving away from offering
“cheap deals” and into higher value offers tapping
mobile’s unique functionality that lends itself so well
to travel planning. Mobile users are not likely to use
dozens of travel apps so there will be a shakeout at
some point, and hotels have to be sure they make the
cut. Monitoring and testing the new travel-specific
search models will also be important since they are
likely to become another major set of portals through
which consumers will explore their travel options.
Social sites are quickly evolving into sales channels.
Consumer review sites, Facebook business and fan
pages and travel inspiration/trip planning sites with
heavy social components will all offer opportunities to
travelers to gather information and then refer them
to suppliers. Search, mobile and social media tools
will need to be mastered for their role in merchandising, as information sources, and as commercial
transactional platforms. Costs and benefits have to be
monitored every step along the way.
Shifting focus from generating
revenue to generating profit
will be a change for many
revenue managers, but a
useful perspective to apply to
inventory and rate decisions.
6. Consumer Media and Commoditization
of Hotel Rooms
Knowing that a dominant theme being conveyed to the
consumer in the current marketplace is that last minute
bookings typically result in discounted hotel rooms,
hotels have to be mindful of the implications that
message sends and reinforces with the consumer. It
renders hotel rooms to be a commodity purchase with
the primary distinguishing feature being price, with
secondary consideration for quality level. When hotels
provide “last minute” inventory, they are fueling the
spread of this message. In the short term, it can reduce
rates and profits, but in the long term, it reinforces the
message that it is better to wait until the last minute
to book a room to get the best rate, and that there is
little difference between any hotel at a given quality
level — any hotel will serve the same purpose for the
traveler. For the hotelier, this (1) makes forecasting more
difficult; (2) lowers rates overall; (3) reduces the volume
of high rated business booked further out from arrival;
(4) causes consumers to believe that there is little difference between hotel brands; and (5) puts into question
the issue of who “owns” the guest. Besides causing
some hotels to operate with a disproportionate amount
of marginally profitable business, on an industrywide
level, the brand erosion may be one of the most
damaging outcomes of the situation. With brand erosion comes the associated marginalization of frequent
guest programs that are currently vital to the chains
for sustaining a recurring profit stream from a base of
repeat customers. With third parties pursuing the same
customers as hotels, and even deploying similar tactics
(best rate guarantees and loyalty programs), the question of who controls the guest relationship may strongly
affect the value proposition of a brand.
Published by the HSMAI Foundation
9
8. Billboard Effect and Online
Attribution Models
The number of factors influencing how a hotel booking is consummated is large and untested; there has
not been a conclusive study in the lodging industry to
determine how to independently credit the source(s)
of direct bookings to a hotel or hotel brand. Because
each hotel or hotel brand has its own set of customers, each needs to examine the websites, media, and
other promotional vehicles that are part of the travel
shopper’s sales path (there are many billboards) and
work on testing which one(s) can be credited with
affecting the booking decision. This will likely differ by
many variables including customer group, hotel brand,
hotel type, season, day-of-week and trip purpose.
Before deploying significant marketing resources to
generate online traffic, deepen engagement and trigger bookings, the hotel marketer should decide how
much credit to apply to each element of an online
marketing plan so the resources are most effectively
applied to meet the marketer’s objectives.
10
7. The Transparency of the Internet
9. Optimal Channel Mix
Each hotel has an optimal channel mix; this is the case
whether the hotel is in the U.S. market or anywhere
else globally. It is affected by supply and demand; the
number of rooms booked through the channel, and at
what room rate; the strategy of each competitor; and
the position of each hotel in its marketplace. Most of
the hotel business in North America remains a “street
corner” business. Other than destination hotels and
resorts, which have their own competitive dynamic,
most hotels in highly populated areas compete with
their immediate neighbors. Understanding the hotel’s
potential in its marketplace will drive its tactical actions and refine the decisions of its management in
terms of pricing, marketing and yield management.
Being mindful of the use of discounting to drive
demand and the affect it has on overall ADR is at the
heart of achieving an optimal channel mix. Improving
techniques to systematically evaluate merchandising
through every channel will go a long way to improving
conversion rates on existing traffic even when incremental traffic is not available. If a hotel can accurately
set objectives for its optimal channel mix, it is more
likely to achieve them through better use of marketing
resources and more targeted and decisive actions.
Although the OTA channel may only represent 10%
or less of most major hotel chain demand, due to the
prominence and transparency of rates on the Internet,
along with rate parity guidelines, the rates posted on
these sites affect those sold through the channels that
bring the other 90% of a hotel’s business. The same
is likely to hold true for new media sites and mobile
applications. Meeting planners, corporate travel
managers, citywide attendees, and others will often
check the rates offered online through third parties,
and those rates will influence the negotiation of rates
sold through all other channels. This is a major departure from the “old days” when the rack rate was the
anchor and all other rates keyed off that rate. Now,
hotels set the highly prominent OTA rate and the other
rates are likely to cascade from that. The public nature
of the OTA rate, or for that matter any other rates
offered online, along with rate parity terms, also limit a
hotel from offering a range of customized rates and/or
value packages to sub-segments of its customer base
so it seems that there is often a “one-rate-fits-all” pricing structure. This undermines the power of marketing
which is a discipline built on a foundation that calls
for offering relevant products and services with corresponding rates by segment in order to best meet the
needs of each customer group. Rates are often diluted
by (1) the pressure to keep prominent online rates as
low as possible, (2) the reality that many customers
have been trained to believe that he or she will find
a lower rate closer to arrival, and (3) a propensity for
hotels to think that the demand generated by lower
rates will always compensate for the rate reduction.
AN AH&LA and STR Special Report
10. The Devil We Know, The Devil We Don’t
While it is easy for a hotel to agonize over high-cost
channels or limited demand in a market, knowing the
available demand generators, the costs and benefits of
each, and which ones are a good fit at any given time
is the best defense in times of economic adversity. As
long as a hotel has control of its inventory and pricing,
Executive Summary
one of its most crucial marketing decisions will be
about its channel mix, which reflects the way in which
that inventory is sold. Riskier even than lowering rates,
ceding control of inventory (or access to inventory) —
such as offering last room availability, especially for low
value business — can do great damage to near- and
long-term profits if it is not tightly controlled.
There will be many emerging new distribution opportunities; some will be booking channels, others will
be marketing and referral channels. Learning how to
assess each opportunity is essential given the rapidly
changing nature of the distribution environment.
With eyes wide open, a hotel management team has
to confront its market position, establish its optimal
channel mix and use every tool available to achieve its
objective. The mature nature of hotel demand in the
U.S. market has to be taken into account and hotels
have to realize that with a slow-growing market pie,
they will spend most of their time shifting share from
their competitors, who at the same time will be trying
to do the exact same thing to them. Historically, hotels
have not focused clearly on their channel mix, have
not had the metrics or inclination to manage this way,
and have not systematically worked on merchandising
techniques to improve conversion, retention and ancillary spend in each channel.
Leveraging new distribution opportunities, knowing
they will primarily facilitate share shift, should put a laser
focus on managing demand in lockstep with associated
costs. In the absence of buoyant demand, the share a
hotel gets of that limited demand has to deliver optimal
profit. Placing an emphasis on generating ancillary
revenue will be part of the centerpiece of a successful
hotel’s revenue strategy. Many channel partners will
promise to grow a hotel’s “slice” of the comp set “pie,”
but each also takes a bite in exchange for helping. This
“bite” may also include less visible costs such as the
need to impose deeper discounts on the rate in order to
accomplish the desired shift in market share. The hotel’s
actions determine the size of its slice and how many
bites are left after all channel partners are compensated.
In the interest of a sustainable profit stream to support
a hotel’s employees, its community, and its customers,
how much can a hotel keep for itself?
Leveraging new distribution
opportunities, knowing
they will primarily facilitate
share shift, should put a laser
focus on managing demand in
lockstep with associated costs.
Published by the HSMAI Foundation
11
12
3
4
5
Five Actions a Chain/
Brand Can Take Now
12
3
4
5
Invest in and develop internal and external low-cost
channels with as much control over rates, inventory
and branding as possible. If you can only focus on one
new thing internally, get your mobile strategy right.
Build up programs to expand high margin ancillary
revenue streams through centrally controlled channels
and facilitate the same for hotels to supplement efforts
at the local level.
Hold the line as tightly as possible on costs for existing
and emerging channels keeping in mind that a growing
percentage of the business going forward will pass
through intermediaries prior to arriving at brand-controlled channels.
Audit every channel to ensure it is capturing the most
incremental business possible from all traffic that passes
through it; view all channels through the same multichannel lens the customers use so the management
and development of them is integrated. Investigate and
develop attribution modeling, examining all channels to
understand which touch points are contributing to the
bookings.
Tap the intelligence you have about your customers
and apply it extensively at every touch point possible to
optimize acquisition, persuasion and retention through
customer service and merchandising. This may be the
primary advantage a hotel chain can leverage when
competing with the many new third parties that have
strong adoption in consumer markets but limited
knowledge of hotel customer’s personal preferences
and stay patterns.
12
AN AH&LA and STR Special Report
Five Actions a Hotel
Manager or Owner
Can Take Now
Determine a hotel’s optimal channel mix and manage
to that objective. Determine the potential for the hotel
based on the nature of market demand, competitive
behavior and consumer perception.
?
Monitor the hotel’s ability to manage its channels
relative to its competitors in the marketplace as well
as new channel opportunities that arise in the market.
Compare channels in their ability to shift share and
the cost they each incur including transaction fees,
commissions, impact on rate and impact on customer
engagement.?
Seek out, develop and invest in channels that help
acquire, engage, and retain customers and also create
sustainable profit streams.?
Guard your most valuable assets: a hotel’s pricing
structure, inventory and brand — this applies equally
to national branded hotels and independents. Evaluate
channel opportunities carefully before putting these
assets at risk. Price smart.
Conduct a systematic audit of every channel to ensure
it is functioning at its peak, that the channel and the
processes supporting it are designed for the customers
it is best suited to serve, and that its position in the distribution ecosystem makes it accessible and compelling
in comparison to its competitors.
doc_150861278.pdf