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STARWOOD TRANSLATION ROI MODELORA SOLOMON – DIRECTOR, GLOBALIZATION
SPG in 8 additional languagesArabic, Traditional Chinese, Korean, Polish,
Turkish, Dutch, Thai, Bahasa Indonesian
Property contentBased on data driven approach and ROI
11 brands in 8 languagesFrench, German, Spanish, Japanese, Italian,
Simplified Chinese, Russian, Portuguese
APP
3 languages on iOS and AndroidChinese (S), Spanish, Japanese
DIFFERENT COVERAGE BY LANGUAGE
Starwoodhotels.com and Brand.com
available in 8 languages
SPG.com available in 16 languages
COVERAGE FOR PROPERTY CONTENT
26914222731433468237
452
0
500
1,000
1,500
Por
tugu
ese
Sim
. Chi
nese
Japa
nese
ALL
Spa
nish
ALLFr
enchALL
Ger
man
ALL
Properties Translated in 2015
Pol
ish
Turk
ish
Dut
ch
Indo
nesi
an
Thai
Ara
bic
Trad
. Chi
nese
Kor
ean
Italia
n
Rus
sian
Core Secondary Tertiary
DO WE HAVE THE RIGHT COVERAGE?
» How many Japanese travelers visit hotels in Missouri?
» Should we increase coverage for languages like Italian and Dutch?
Are we maximizing the value of our translation spend?
CORE LANGUAGES ARE TRANSLATED WORLDWIDE REGARDLESS OF REVENUE
9
e.g., Aloft Charlotte Uptown in Japanese-- even though all 9 Charlotte properties receive less
than $20K of Japanese revenue annually
e.g., Four Points St. Louis in French-- even though all 6 St. Louis properties combined receive less than $5k of French revenue annually
SECONDARY LANGUAGES ARE SPOTTY EVEN IN MAJOR OUTBOUND MARKETS
10
e.g., many Italians book NYC properties each year
OUR TRANSLATION MODEL NEEDS TO BE SCALABLE
Globalization – Non-English revenue share is growing, and competitors
are investing to win…
Starwood Growth – Virtually all our brands are tasked with tremendous
footprint growth…
THE ACTION
MOVE TO A DATA-DRIVEN APPROACHCREATED MODEL THAT WEIGHS REVENUE VS. FULL ONGOING COST OF TRANSLATION AT THE MARKET LEVEL (E.G., FRENCH IN KANSAS CITY, MO)
ROOTS(Return on Ongoing Translation Spend) =
𝑨𝒏𝒏𝒖𝒂𝒍 𝑹𝒆𝒗𝒆𝒏𝒖𝒆(𝑏𝑟𝑜𝑤𝑠𝑒𝑟 𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒 𝑋 𝑖𝑛𝑚𝑎𝑟𝑘𝑒𝑡 𝑌 )
.¿
− [𝑈𝑝𝑓𝑟𝑜𝑛𝑡 𝑐𝑜𝑠𝑡 ] + ∑𝑖=1
𝑛 [ 𝐴𝑛𝑛𝑢𝑎𝑙𝑈𝑝𝑑𝑎𝑡𝑒𝐶𝑜𝑠𝑡 ](1+𝑟 ) 𝑖
𝑨𝒏𝒏𝒖𝒂𝒍 𝑹𝒆𝒗𝒆𝒏𝒖𝒆(𝑏𝑟𝑜𝑤𝑠𝑒𝑟 𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒 𝑋 𝑖𝑛𝑚𝑎𝑟𝑘𝑒𝑡 𝑌 )
.¿
𝑵𝑷𝑽 𝒐𝒇 𝒐𝒏𝒈𝒐𝒊𝒏𝒈𝒕𝒓𝒂𝒏𝒔𝒍𝒂𝒕𝒊𝒐𝒏𝒆𝒙𝒑𝒆𝒏𝒔𝒆
𝑓𝑜𝑟 𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒 𝑋 𝑖𝑛𝑚𝑎𝑟𝑘𝑒𝑡𝑌 =
EXAMPLES OF MARKETS WITH VARIOUS THRESHOLDS (E.G.: JAPANESE IN US)
e.g., There are 11 Starwood properties in San Francisco area,
with a 42x return … whereas there are 17 Starwood properties in Dallas, but 2x return
Return on spend (Xx) Not shown: long tail of >60 more US markets with <2x
return (>150 properties)
BASED ON DESIRED THRESHOLD, MODEL CALCULATES WHERE TO TRANSLATEOverall Dashboard for Single Language (e.g., Japanese)
20142015
THE SOLUTION
» Stop translating core languages in markets where the data shows that it doesn’t make sense
» By translating just ~600-800 properties each for Japanese, French, German, and Spanish (rather than all 1200+ today) we still cover 97%+ of core language revenue!
OVERVIEW OF DATA-DRIVEN STRATEGY FOR PROPERTY TRANSLATION
Selectively reduce translation
Strategically expand translation
» Invest in languages with substantial upside potential – e.g., Chinese, Italian, Dutch, Portuguese, Russian
Reinvest savings
A PHASED EXECUTION TO LIMIT UP-FRONT INVESTMENT
Former “Core” Languages
Former “Secondary / Tertiary”
Start Phase 1 Phase 2 Phase 3
All properties translated; no threshold
Ad-hoc translation
5x threshold
10x threshold
5x threshold
7x threshold
5x threshold
5x threshold
** illustrative; size of bar not scaled to exact # properties
DECREASE IN CORE TRANSLATION PUTS MINIMAL REVENUE AT RISKAND SAVES MONEY
Starting point Applying Threshold# properties translated
% revenue captured Threshold # properties
translated% revenue captured
Japanese 1226 100% 5X 611 97%
French 1226 100% 5X 797 97%
German 1226 100% 5X 898 97%
Spanish 1226 100% 5X 897 98%
~$300k annual savings
SAVINGS CAN BE REDEPLOYED TO PARTLY OFFSET SECONDARY COVERAGEStarting point Phase 1 Phase 2 Phase 3
# properties translated
% revenue captured
Threshold#
properties translated
Threshold#
properties translated
Threshold#
properties translated
% revenue captured
S. Chinese 452 89% 10X 707 7X 806 5x 849 97%
Russian 68 26% 10X 126 7X 186 5x 216 72%
Italian 34 13% 10X 269 7X 307 5x 359 82%
T. Chinese 31 35% 10X 219 7X 294 5x 411 85%
Dutch 2 6% 10X 127 7X 136 5x 161 62%
Portuguese 237 76% 5X 249 5X 249 5x 249 78%
*Denotes cases where properties are both added and removed; net effect shown