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DEVELOPING NEW KPIS FOR 
TRAVEL 
Proprietary & Confidential. Copyright © 2014. 
Q4 2014 
1
01 THE CURRENT LANDSCAPE 
Proprietary & 2 Confidential. Copyright © 2014.
DMO CHALLENGES 
Destination Marketing Organizations face several challenges when advertising online: 
Proprietary & Confidential. Copyright © 2014. 
3 
• Lack of Strong KPIs 
With no eCommerce action or “true” conversion in place to associate with the campaign, DMO 
advertisers lack a concrete way to measure whether the consumers exposed to tourism ads are 
actually traveling to their destinations, and at what rate. 
• Poor Proxy Metrics 
Additionally, proxy metrics for these—typically clicks, ad interactions, or survey-based 
measurement—do not show a strong relationship with travel.
POSSIBLE APPROACHES 
We considered several methods to solve this problem. 
GEODATA 
Identify whether consumers exposed to 
DMO ads for a specific area eventually 
“show up” in that area later on. 
PROs: Shows actual travel to destination 
Cons: Difficult to measure; long time 
between exposure and conversion—no 
“real time” optimization possible 
Proprietary & Confidential. Copyright © 2014. 
4 
OTA/HOTEL/AIRLINE DATA 
Look at how consumers exposed to DMO 
ads respond to OTA, Hotel, or Airline 
campaigns, see if they book travel to the 
target destination. 
PROs: Shows actual travel to destination, 
easy to measure 
Cons: Not “fool-proof,” difficult to separate 
business and vacation travelers
02 MEASURING SUCCESS 
Proprietary & 5 Confidential. Copyright © 2014.
THE MEASUREMENT PLAN 
By tracking bookings with OTA and hotel advertisers partnering with Rocket Fuel, we 
can identify whether consumers exposed to DMO advertising later booked travel to the 
target destination through either source. 
DMO Travelhaus 
1. Identify consumers served 
DMO advertising 
Proprietary & Confidential. Copyright © 2014. 
6 
2. See if they booked travel to 
the destination being 
advertised on a hotel, OTA, or 
airline partner site 
3. Measure effectiveness and 
set up automated 
optimization toward 
generating conversions
DEFINING NEW KPIs FOR TRAVEL 
By tracking bookings with OTA and hotel advertisers partnering with Rocket Fuel, we 
can identify whether consumers exposed to DMO advertising later booked travel to the 
target destination through either source. 
Destination OTA Site Bookings Hotel Site Bookings TOTAL 
California (state park) 22 0 22 
Florida (city) 36 610 646 
Florida (attraction) 292 3,905 4,197 
USA (from Japan) 0 1,765 1,765 
Proprietary & Confidential. Copyright © 2014. 
7
CASE 1: FLORIDA TOURISM 
We looked at 2 tourism campaigns in Florida in our sample, one 
of which was focused on a city and the other for a major tourist 
attraction near that city. The campaign for the attraction 
actually did have a conversion pixel associated with sales, which 
accounted for 20,135 conversions during our observed time 
frame. 
In this case, the 4,197 additional bookings we were able to 
measure for the attraction showed consumers who wanted to 
book separate accommodations after exposure to ads. For a 
single hotel, this meant 20% more measurable conversions for 
the campaign post-exposure! 
Proprietary & Confidential. Copyright © 2014. 
8
CASE 2: US TOURISM (f/JAPAN) 
One of the clients examined for this study had 
several initiatives focused on driving tourism to 
the United States from other countries, including 
Japan. The campaign we examined delivered 
interactive banners to Japanese consumers, using 
ad interactions as the key measure for success. 
Surveys were also placed in field, though at this 
time adequate data for consumers responding to 
the survey and also booking travel was 
unavailable. 
Proprietary & Confidential. Copyright © 2014. 
9
DETERMINING LIFT 
If we then look at the rate of “conversion” for consumers in the target audience 
exposed to ads (and those not exposed), we can generate a lift metric that shows the 
effect of advertising to a particular population. 
US Hotel Bookings among Japanese Consumers, June 2014 – July 2014 
# US Tourism Ads seen # Consumers US Bookings Conversion Rate 
124,902,137 15,074,264 1,765 0.0117% 
0 85,610,210 6,448 0.0075% 
LIFT +55.5% 
*Estimated based on % of Japanese citizens with a passport 
Proprietary & Confidential. Copyright © 2014. 
10
CLICKS SHOW LITTLE VALUE 
Looking at how the US Tourism click activity affected conversion rates (measured via US 
bookings on the hotel site) showed little correlation between the two. In fact, of the 
1,765 conversions that occurred during our sample time, only 20 happened following a 
click on a US Tourism banner ad. 
Proprietary & Confidential. Copyright © 2014. 
11 
US Tourism 
impressions 
Hotel 
impressions 
US Tourism clicks Hotel clicks Hotel US 
bookings 
29,026 7,327 20 8 1,765 
0 2,481 0 4 107
AD INTERACTIONS 
Ad interactions were a different story, however: 177 Japanese consumers who booked a 
US hotel stay following exposure to the US Tourism campaign also interacted with 
campaign ads, doing so at a rate 16% higher than consumers who just saw ads. On 
average, consumers who interacted with the banner did so 1.76 times. 
US Hotel Bookings based on # of banner interactions 
Proprietary & Confidential. Copyright © 2014. 
12 
# US Tourism ad 
interactions 
# Consumers # of consumers 
booking US rooms 
Conversion Rate 
0 13,753,144 1,588 0.0115% 
2,239,248 1,321,120 177 0.0134% 
LIFT +16%
03 ECOSYSTEM BENEFITS 
Proprietary & 13 Confidential. Copyright © 2014.
THE PATH TO TRAVEL 
Consumers seldom make travel 
decisions on impulse. Prior research 
shows that 90% of consumers planning 
a vacation do so more than a month in 
advance. 
Even when identifying consumers in-market, 
it takes several days to drive a 
AVERAGE TIME BETWEEN FIRST AD EXPOSURE AND 
CONVERSION, BY TRAVEL CAMPAIGN TYPE 
Hotel 
All Travel 
Airline 
consumer from first exposure to final 
purchase, as most vacation travelers 
will research one or more digital 
sources in the week prior to booking. 2.1 
Proprietary & Confidential. Copyright © 2014. 
14 
2.3 
3.1 
4.2 
OTA
THE PATH TO TRAVEL 
Frequency of Hotel bookings by number of days in 
advance of start date, June-July 2014 
5,904 
6,683 
9,421 
11,416 
13,295 
16,144 
More 
91 
84 
77 
70 
63 
56 
49 
42 
35 
28 
21 
14 
7 
1 
Proprietary & Confidential. Copyright © 2014. 
Looking at the time between a 
consumer’s conversion and the 
first day of their stay shows that 
while consumers most 
commonly book a hotel within 
2-7 days of travel, half of 
bookings will occur 3 or more 
weeks (21+days) prior to the 
actual trip. 
15 
26,374 
34,403 
29,265 
118,347 
71,599 
47,172 
33,817 
20,088 
8,010 
49,176 
0
EFFECTS OF DMO EXPOSURE 
When looking at U.S. OTA bookings among anyone exposed to a DMO 
campaign for a US location, we can see the impact of how exposure to both 
improves efficiency for OTA advertisers and any other effects that exposure to 
both ads might have. 
Proprietary & Confidential. Copyright © 2014. 
16 
DMO 
DMO 
DMO 
OTA = +147%
EFFECTS OF DMO EXPOSURE 
Compared to converters who only saw OTA ads, OTA converters exposed to 
both ads took nearly half as many OTA impressions to drive to a conversion. 
Essentially, we can think of DMO ads as a type of ‘added-value’ impression for 
OTA advertisers. 
OTA IMPRESSIONS PER CONVERSION BASED ON AD EXPOSURE 
Proprietary & Confidential. Copyright © 2014. 
17 
OTA Impressions 
DMO 
Impressions 
OTA 
Conversions 
OTA Conv 
Rate 
OTA Ads per 
Conv 
220,286 0 37,188 16.88% 5.92 
251,920 705,815 105,127 41.73% 2.40 
LIFT +147% -41%
EXPOSED CONSUMERS STAY LONGER 
By looking at the bookings, we can see how long travelers plan to stay and how much 
they are spending. Consumers exposed to DMO advertising prior to converting on an 
OTA campaign booked trips 81% longer (+2 days) and spent 50% more on average when 
compared to consumers only exposed to OTA ads. 
OTA TRIP LENGTH AND AVG. SPEND BY AD TYPE EXPOSURE, APRIL 14 – MAY 14 
Proprietary & Confidential. Copyright © 2014. 
Group # Consumers 
18 
Avg. DMO 
ads seen 
Avg. OTA 
ads seen Avg. Spend # Days 
OTA ads only 21,443 0 10.3 $261.88 2.46 
OTA + DMO ads 65,488 24 18 $390.32 4.45 
LIFT +49% +81%
BENEFITS ON BOTH SIDES 
Thus, OTA/Hotel/Airline advertisers benefit from the additional ad 
efficiency when their ads reach consumers already exposed to DMO 
advertising, and they can reap the benefits of additional incremental 
revenue from these exposed consumers even when they aren’t 
advertising. 
On the other side, DMO advertisers benefit from having potential 
concrete measurements of success to point to and optimize toward 
when this data is shared. DMO advertisers can also potentially use 
this data to further optimize to different traveler types, such as 
families vs. business travelers. 
Proprietary & Confidential. Copyright © 2014. 
19 
OTA 
DMO
04 LOOKING AHEAD 
Proprietary & 20 Confidential. Copyright © 2014.
This analysis isn’t definitive! Here are a few ways it might be improved in the future: 
IDENTIFYING TOURISTS 
Another major concern for DMOs is 
reaching tourists and not business 
travelers. By using information about the 
trip itself—such as duration of stay, the day 
of week of the trip (weekdays vs. 
weekends), the number of beds in the 
booking, and the number of travelers—we 
can identify likely business travelers vs. 
tourists, and train an AI to separate them 
accordingly. 
Proprietary & Confidential. Copyright © 2014. 
NEXT STEPS 
21 
PREDICTING SPEND 
By using information about the number of 
travelers, price and location of the booking, 
and profile data about the consumer, we 
can develop a model to predict how much 
they are likely to spend at the target 
destination, and optimize accordingly.
GOING FURTHER 
Better models can be 
developed with the addition of 
actual spend data at the 
location and geodata for 
consumers who see DMO 
advertising and then visit the 
location later. These too can be 
incorporated into ad-serving 
and optimization decisions. 
Proprietary & Confidential. Copyright © 2014. 
22
NEXT: THE FULL ECOSYSTEM 
Finally, better measurement can be developed by folding in additional 
partners, such as other Hotel brands, OTAs, and airlines to create a full picture 
of the ecosystem that allows for optimization along the entire funnel. 
Proprietary & Confidential. Copyright © 2014. 
23 
DMO 
AIR 
HOTEL 
CRUISE
05 PARTNERING WITH THE DMAI 
Proprietary & 24 Confidential. Copyright © 2014.
A TRUSTED PARTNER 
Top DMO’s find success with us: 
~50+ DMO’s & CVB’s active with 
Rocket Fuel at any given time 
COMMON DESTINATION KPIs 
• Completed Video Views 
• Click Thru Rates 
• Key Pages Visited 
EXCITING NEW WAYS TO 
ATTRIBUTE SUCCESS 
• Audience Guarantees 
• Credit Card Spend in market 
• Mobile location 
Proprietary & 25 Confidential. Copyright © 2014.
ROCKET FUEL’S PARTNERSHIP WITH DMAI 
• Rocket Fuel is committed to the destination marketing sub-vertical 
has partnered with the Destination Marketing Association 
International in an effort to share knowledge, data and best 
practices 
• We’ll be co-producing white papers, webinars and coordinating 
round tables 
– On panel @ DMAI CEO Summit 
– Spoke at DMAI 100th Annual Convention 
• Working with DMAI to provide unique offerings to DMO and CVB clients globally: 
• Bundling DMAI membership fees and products with media buys 
• Unique advertising products that will help attribute marketing spend that drives visits and 
Proprietary & Confidential. Copyright © 2014. 
26 
in-destination spend
WHY JOIN DMAI? 
• Connect to a community of 600+ official DMO marketing 
professionals worldwide representing $2B+ in annual budgets 
• DMAI is a passionate advocate and definitive resource for DMOs 
• Powerful research, reporting and benchmarking tools 
• Professional development and education for DMO professionals 
(i.e. CDME and PDM certifications) 
• Be first in line to hear about the exciting projects that Rocket 
Proprietary & Confidential. Copyright © 2014. 
27 
Fuel is working on with DMAI
THANK YOU FOR 
YOUR TIME 
Proprietary & Confidential. Copyright © 2014. 
QUESTIONS? 
28

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Destination-Marketing Webinar Presentation

  • 1. DEVELOPING NEW KPIS FOR TRAVEL Proprietary & Confidential. Copyright © 2014. Q4 2014 1
  • 2. 01 THE CURRENT LANDSCAPE Proprietary & 2 Confidential. Copyright © 2014.
  • 3. DMO CHALLENGES Destination Marketing Organizations face several challenges when advertising online: Proprietary & Confidential. Copyright © 2014. 3 • Lack of Strong KPIs With no eCommerce action or “true” conversion in place to associate with the campaign, DMO advertisers lack a concrete way to measure whether the consumers exposed to tourism ads are actually traveling to their destinations, and at what rate. • Poor Proxy Metrics Additionally, proxy metrics for these—typically clicks, ad interactions, or survey-based measurement—do not show a strong relationship with travel.
  • 4. POSSIBLE APPROACHES We considered several methods to solve this problem. GEODATA Identify whether consumers exposed to DMO ads for a specific area eventually “show up” in that area later on. PROs: Shows actual travel to destination Cons: Difficult to measure; long time between exposure and conversion—no “real time” optimization possible Proprietary & Confidential. Copyright © 2014. 4 OTA/HOTEL/AIRLINE DATA Look at how consumers exposed to DMO ads respond to OTA, Hotel, or Airline campaigns, see if they book travel to the target destination. PROs: Shows actual travel to destination, easy to measure Cons: Not “fool-proof,” difficult to separate business and vacation travelers
  • 5. 02 MEASURING SUCCESS Proprietary & 5 Confidential. Copyright © 2014.
  • 6. THE MEASUREMENT PLAN By tracking bookings with OTA and hotel advertisers partnering with Rocket Fuel, we can identify whether consumers exposed to DMO advertising later booked travel to the target destination through either source. DMO Travelhaus 1. Identify consumers served DMO advertising Proprietary & Confidential. Copyright © 2014. 6 2. See if they booked travel to the destination being advertised on a hotel, OTA, or airline partner site 3. Measure effectiveness and set up automated optimization toward generating conversions
  • 7. DEFINING NEW KPIs FOR TRAVEL By tracking bookings with OTA and hotel advertisers partnering with Rocket Fuel, we can identify whether consumers exposed to DMO advertising later booked travel to the target destination through either source. Destination OTA Site Bookings Hotel Site Bookings TOTAL California (state park) 22 0 22 Florida (city) 36 610 646 Florida (attraction) 292 3,905 4,197 USA (from Japan) 0 1,765 1,765 Proprietary & Confidential. Copyright © 2014. 7
  • 8. CASE 1: FLORIDA TOURISM We looked at 2 tourism campaigns in Florida in our sample, one of which was focused on a city and the other for a major tourist attraction near that city. The campaign for the attraction actually did have a conversion pixel associated with sales, which accounted for 20,135 conversions during our observed time frame. In this case, the 4,197 additional bookings we were able to measure for the attraction showed consumers who wanted to book separate accommodations after exposure to ads. For a single hotel, this meant 20% more measurable conversions for the campaign post-exposure! Proprietary & Confidential. Copyright © 2014. 8
  • 9. CASE 2: US TOURISM (f/JAPAN) One of the clients examined for this study had several initiatives focused on driving tourism to the United States from other countries, including Japan. The campaign we examined delivered interactive banners to Japanese consumers, using ad interactions as the key measure for success. Surveys were also placed in field, though at this time adequate data for consumers responding to the survey and also booking travel was unavailable. Proprietary & Confidential. Copyright © 2014. 9
  • 10. DETERMINING LIFT If we then look at the rate of “conversion” for consumers in the target audience exposed to ads (and those not exposed), we can generate a lift metric that shows the effect of advertising to a particular population. US Hotel Bookings among Japanese Consumers, June 2014 – July 2014 # US Tourism Ads seen # Consumers US Bookings Conversion Rate 124,902,137 15,074,264 1,765 0.0117% 0 85,610,210 6,448 0.0075% LIFT +55.5% *Estimated based on % of Japanese citizens with a passport Proprietary & Confidential. Copyright © 2014. 10
  • 11. CLICKS SHOW LITTLE VALUE Looking at how the US Tourism click activity affected conversion rates (measured via US bookings on the hotel site) showed little correlation between the two. In fact, of the 1,765 conversions that occurred during our sample time, only 20 happened following a click on a US Tourism banner ad. Proprietary & Confidential. Copyright © 2014. 11 US Tourism impressions Hotel impressions US Tourism clicks Hotel clicks Hotel US bookings 29,026 7,327 20 8 1,765 0 2,481 0 4 107
  • 12. AD INTERACTIONS Ad interactions were a different story, however: 177 Japanese consumers who booked a US hotel stay following exposure to the US Tourism campaign also interacted with campaign ads, doing so at a rate 16% higher than consumers who just saw ads. On average, consumers who interacted with the banner did so 1.76 times. US Hotel Bookings based on # of banner interactions Proprietary & Confidential. Copyright © 2014. 12 # US Tourism ad interactions # Consumers # of consumers booking US rooms Conversion Rate 0 13,753,144 1,588 0.0115% 2,239,248 1,321,120 177 0.0134% LIFT +16%
  • 13. 03 ECOSYSTEM BENEFITS Proprietary & 13 Confidential. Copyright © 2014.
  • 14. THE PATH TO TRAVEL Consumers seldom make travel decisions on impulse. Prior research shows that 90% of consumers planning a vacation do so more than a month in advance. Even when identifying consumers in-market, it takes several days to drive a AVERAGE TIME BETWEEN FIRST AD EXPOSURE AND CONVERSION, BY TRAVEL CAMPAIGN TYPE Hotel All Travel Airline consumer from first exposure to final purchase, as most vacation travelers will research one or more digital sources in the week prior to booking. 2.1 Proprietary & Confidential. Copyright © 2014. 14 2.3 3.1 4.2 OTA
  • 15. THE PATH TO TRAVEL Frequency of Hotel bookings by number of days in advance of start date, June-July 2014 5,904 6,683 9,421 11,416 13,295 16,144 More 91 84 77 70 63 56 49 42 35 28 21 14 7 1 Proprietary & Confidential. Copyright © 2014. Looking at the time between a consumer’s conversion and the first day of their stay shows that while consumers most commonly book a hotel within 2-7 days of travel, half of bookings will occur 3 or more weeks (21+days) prior to the actual trip. 15 26,374 34,403 29,265 118,347 71,599 47,172 33,817 20,088 8,010 49,176 0
  • 16. EFFECTS OF DMO EXPOSURE When looking at U.S. OTA bookings among anyone exposed to a DMO campaign for a US location, we can see the impact of how exposure to both improves efficiency for OTA advertisers and any other effects that exposure to both ads might have. Proprietary & Confidential. Copyright © 2014. 16 DMO DMO DMO OTA = +147%
  • 17. EFFECTS OF DMO EXPOSURE Compared to converters who only saw OTA ads, OTA converters exposed to both ads took nearly half as many OTA impressions to drive to a conversion. Essentially, we can think of DMO ads as a type of ‘added-value’ impression for OTA advertisers. OTA IMPRESSIONS PER CONVERSION BASED ON AD EXPOSURE Proprietary & Confidential. Copyright © 2014. 17 OTA Impressions DMO Impressions OTA Conversions OTA Conv Rate OTA Ads per Conv 220,286 0 37,188 16.88% 5.92 251,920 705,815 105,127 41.73% 2.40 LIFT +147% -41%
  • 18. EXPOSED CONSUMERS STAY LONGER By looking at the bookings, we can see how long travelers plan to stay and how much they are spending. Consumers exposed to DMO advertising prior to converting on an OTA campaign booked trips 81% longer (+2 days) and spent 50% more on average when compared to consumers only exposed to OTA ads. OTA TRIP LENGTH AND AVG. SPEND BY AD TYPE EXPOSURE, APRIL 14 – MAY 14 Proprietary & Confidential. Copyright © 2014. Group # Consumers 18 Avg. DMO ads seen Avg. OTA ads seen Avg. Spend # Days OTA ads only 21,443 0 10.3 $261.88 2.46 OTA + DMO ads 65,488 24 18 $390.32 4.45 LIFT +49% +81%
  • 19. BENEFITS ON BOTH SIDES Thus, OTA/Hotel/Airline advertisers benefit from the additional ad efficiency when their ads reach consumers already exposed to DMO advertising, and they can reap the benefits of additional incremental revenue from these exposed consumers even when they aren’t advertising. On the other side, DMO advertisers benefit from having potential concrete measurements of success to point to and optimize toward when this data is shared. DMO advertisers can also potentially use this data to further optimize to different traveler types, such as families vs. business travelers. Proprietary & Confidential. Copyright © 2014. 19 OTA DMO
  • 20. 04 LOOKING AHEAD Proprietary & 20 Confidential. Copyright © 2014.
  • 21. This analysis isn’t definitive! Here are a few ways it might be improved in the future: IDENTIFYING TOURISTS Another major concern for DMOs is reaching tourists and not business travelers. By using information about the trip itself—such as duration of stay, the day of week of the trip (weekdays vs. weekends), the number of beds in the booking, and the number of travelers—we can identify likely business travelers vs. tourists, and train an AI to separate them accordingly. Proprietary & Confidential. Copyright © 2014. NEXT STEPS 21 PREDICTING SPEND By using information about the number of travelers, price and location of the booking, and profile data about the consumer, we can develop a model to predict how much they are likely to spend at the target destination, and optimize accordingly.
  • 22. GOING FURTHER Better models can be developed with the addition of actual spend data at the location and geodata for consumers who see DMO advertising and then visit the location later. These too can be incorporated into ad-serving and optimization decisions. Proprietary & Confidential. Copyright © 2014. 22
  • 23. NEXT: THE FULL ECOSYSTEM Finally, better measurement can be developed by folding in additional partners, such as other Hotel brands, OTAs, and airlines to create a full picture of the ecosystem that allows for optimization along the entire funnel. Proprietary & Confidential. Copyright © 2014. 23 DMO AIR HOTEL CRUISE
  • 24. 05 PARTNERING WITH THE DMAI Proprietary & 24 Confidential. Copyright © 2014.
  • 25. A TRUSTED PARTNER Top DMO’s find success with us: ~50+ DMO’s & CVB’s active with Rocket Fuel at any given time COMMON DESTINATION KPIs • Completed Video Views • Click Thru Rates • Key Pages Visited EXCITING NEW WAYS TO ATTRIBUTE SUCCESS • Audience Guarantees • Credit Card Spend in market • Mobile location Proprietary & 25 Confidential. Copyright © 2014.
  • 26. ROCKET FUEL’S PARTNERSHIP WITH DMAI • Rocket Fuel is committed to the destination marketing sub-vertical has partnered with the Destination Marketing Association International in an effort to share knowledge, data and best practices • We’ll be co-producing white papers, webinars and coordinating round tables – On panel @ DMAI CEO Summit – Spoke at DMAI 100th Annual Convention • Working with DMAI to provide unique offerings to DMO and CVB clients globally: • Bundling DMAI membership fees and products with media buys • Unique advertising products that will help attribute marketing spend that drives visits and Proprietary & Confidential. Copyright © 2014. 26 in-destination spend
  • 27. WHY JOIN DMAI? • Connect to a community of 600+ official DMO marketing professionals worldwide representing $2B+ in annual budgets • DMAI is a passionate advocate and definitive resource for DMOs • Powerful research, reporting and benchmarking tools • Professional development and education for DMO professionals (i.e. CDME and PDM certifications) • Be first in line to hear about the exciting projects that Rocket Proprietary & Confidential. Copyright © 2014. 27 Fuel is working on with DMAI
  • 28. THANK YOU FOR YOUR TIME Proprietary & Confidential. Copyright © 2014. QUESTIONS? 28

Notes de l'éditeur

  1. DMO advertiser challenges go here—additional notes?
  2. DMO advertiser challenges go here—additional notes?
  3. Talk about setup—mention the implementation of parameterized pixels
  4. Get additional info for goals here
  5. Get travel-eligible stats for Japanese consumers (passport %, bluekai segment data)
  6. Chris talking about how consumers make decisions to set this up
  7. Chris talking about how consumers make decisions to set this up
  8. This could work both ways! With the proper co-op setup, this could work both ways—driving incremental tourism by putting travel ads in front of the consumer
  9. This could work both ways! With the proper co-op setup, this could work both ways—driving incremental tourism by putting travel ads in front of the consumer
  10. This isn’t a function of better targeting; our model found these people organically without identifying them as ideal for the OTA campaign
  11. This isn’t a function of better targeting; our model found these people organically without identifying them as ideal for the OTA campaign
  12. Note about cruises—partnership with Caribbean tourism boards, using dynamic creative based on researched destination in dynamic cruise ads
  13. Need introduction here: Before we move to questions, we’d like to hand it over to Karen at the DMAI to talk about our new partnership.
  14. Need introduction here: Before we move to questions, we’d like to hand it over to Karen at the DMAI to talk about our new partnership.
  15. Need introduction here: Before we move to questions, we’d like to hand it over to Karen at the DMAI to talk about our new partnership.