Room for Savings: Optimizing Hotel Spend - Carlson
Room for Savings: Optimizing Hotel Spend - Carlson
Room for Savings: Optimizing Hotel Spend - Carlson
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GDS rate squatting. Regular GDS audits can<br />
also help companies manage the problem of<br />
rate squatting, which occurs when GDS<br />
codes intended <strong>for</strong> a company’s preferred<br />
hotels are used by non-preferred properties.<br />
Rate squatting occurs, <strong>for</strong> example, when a<br />
hotel uploads rates after an agreement has<br />
expired or when a chain uses a preferred<br />
provider code <strong>for</strong> individual properties that<br />
are not included in its contract with the<br />
company.<br />
TMCs use robot technology to scan GDSs<br />
and flag squatter rates. In this way, a CWT<br />
study of two global companies’ transactions<br />
made via a GDS showed three squatter<br />
hotels <strong>for</strong> every preferred hotel. Furthermore,<br />
squatter hotels accounted <strong>for</strong> 4-5 percent<br />
of their 9,000 bookings. Further analysis<br />
revealed that a large share of those<br />
transactions involved a small number of<br />
squatters: in one case, nearly half of the<br />
rogue transactions involved 7 out of 50<br />
squatter hotels. In the same example,<br />
squatter rates were on average 21 percent<br />
higher than the average rate paid at preferred<br />
properties in the same city, as shown in<br />
Figure 120. It can pay there<strong>for</strong>e to identify<br />
rate squatters and work with hoteliers to<br />
resolve such problems.<br />
Figure 120: One company paid on average 21% higher rates at squatter hotels vs. the average<br />
rate paid at preferred hotels<br />
Difference between average rates paid at the top 7 squatter hotels and preferred hotels<br />
(Company G - November 2008)<br />
<strong>Hotel</strong><br />
City<br />
City covered<br />
by program<br />
Number of<br />
transactions<br />
ARR paid at<br />
squatter hotels<br />
(US$)<br />
ARR paid at<br />
preferred<br />
hotels (US$)<br />
Price<br />
difference<br />
(%)<br />
A<br />
B<br />
Krakow No 5 182 - -<br />
London Yes<br />
15 342 238 44%<br />
C Milan Yes 9 244 249 -2%<br />
D<br />
E<br />
Milan Yes 6 170 249 -32%<br />
Oslo Yes 14 339 253 34%<br />
F<br />
Rivas-<br />
Vaciamadrid<br />
No 8 104 - -<br />
G<br />
Average room<br />
rate (weighted by<br />
number of<br />
transactions)<br />
Zurich Yes 6 259 214 22%<br />
293 243 21%<br />
* In cities covered by the program<br />
Source: CWT Travel Management Institute