El Poder de las Recomendaciones y el Intelligent Data
TripAdvisor –Inspiration
TripAdvisor en el año 2002
TripAdvisor
*Source: Google Analytics, worldwide data, average monthly views Q4 2014—does not include traffic to daodao.com / TripAdvisor internal data
45 Domains in 28 languages
315Million
over
147,000
destinations
70m
Members
Lider Mundial en el sector Travel
0
50
100
150
200
250
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Crecimiento exponencial – 200 millones de opiniones(millions)
Source: TripAdvisor internal data and Google Analytics, Worldwide data, Feb 2014
125 nuevas
contribuciones por
minuto
0
500.000
1.000.000
1.500.000
2.000.000
2.500.000
3.000.000
3.500.000
4.000.000
4.500.000
5.000.000
2001 2006 2007 2008 2009 2010 2011 2012 2013 Current
Nº de fichas casi
se duplicó desde
2012 hasta
principios de 2014
Crecimiento de fichas(millions)
PLANIFICANDO EL VIAJE
Más de 4,5 millones de empresas turísticas en
más de 147.000 destinos
500,000+
Lugares de interés
915,000+
Hoteles, B&Bs and
alojamientos
especiales
2,4M
Restaurantes
650,000+
alquileres vacacionales
29,000,000+
fotos de viajeros
Foto publicitaria
Lo que encontraron los viajeros
La gran mayoría de las opiniones son positivas
Source: TripAdvisor. Percentage of all ratings, January 2014
48%
30%
12%
5%
5%
Puntuación media:
4.12
Source: PhoCusWright’s “Custom Survey Research Engagement,” prepared for TripAdvisor. December 2013.
Los viajeros españoles generalmente
buscan información acerca de…
82%
59%
46%
Más del 80% siente que
las opiniones en TripAdvisor le ayudan a
tomar decisiones mejor informadas
y disfrutar de un mejor viaje
Source: PhoCusWright’s “Custom Survey Research Engagement,” prepared for TripAdvisor. December 2013.
de usuarios leen contenidos de TripAdvisor en otras
páginas web todos los meses
500 millones
14
15
Travellers Choice Destinations
Houmt Souk
BIG DATA
TripAdvisor Data Collection – Example
Unique live interactions that we can now capture in our DMP
Traveler searched
for Paris Hotels
Traveler is looking to Travel in 3 days
(today is 8/25) for 5 days from
Thursday - Tuesday
Traveler is looking for
a 5 star, good value hotel
with a Restaurant near
the city center
Traveler visited hotel page; read
6 reviews and viewed 7 photos
Traveler clicked to book a
recommended hotel
Designing Your Campaign
Leveraging our insights and tools to maximize your investment
Behavior #3:
Brand
Behavior #2:
Commerce
Click
Behavior #1:
Destination =
ADVERTISER’S DATA
i.e. Marriott Pushes
Loyalty Card Audience to
TripAdvisor
2nd PARTY DATA
AGGREGATOR’S DATA
i.e. Blue Kai’s
Demographic Segments
(18-25, Female, etc.)
3rd PARTY DATA
1ST PARTY DATA
TRIPADVISOR USER DATA
i.e. Users looking for
a Miami Hotel
Robust Data Set Drives Custom Audience
Creation and Intelligent Targeting
1st & 3rd
Party
Data
Calendar
Targeting
Destination Spend LevelsBrand Commerce
Clicks
Trip ThemeTravelers Travel Needs RestaurantAttractions Audience
Demographics
Interest Past
Purchases
In-Market
Advertiser Data + TripAdvisor Data =
Improved Targeting, Messaging and ROI
Advertiser’s Users
on TripAdvisor
ADVERTISER
Advertiser
Opportunity
Example Use & Benefit
Exclude Users
From Media Plan
= Increase Efficiency
Change Creative
Users See
= Increased Impact
El Poder de las Recomendaciones y el Intelligent Data

El Poder de las Recomendaciones y el Intelligent Data

  • 1.
    El Poder delas Recomendaciones y el Intelligent Data
  • 2.
  • 3.
  • 4.
    TripAdvisor *Source: Google Analytics,worldwide data, average monthly views Q4 2014—does not include traffic to daodao.com / TripAdvisor internal data 45 Domains in 28 languages 315Million over 147,000 destinations 70m Members Lider Mundial en el sector Travel
  • 5.
    0 50 100 150 200 250 2003 2004 20052006 2007 2008 2009 2010 2011 2012 2013 2014 Crecimiento exponencial – 200 millones de opiniones(millions) Source: TripAdvisor internal data and Google Analytics, Worldwide data, Feb 2014 125 nuevas contribuciones por minuto
  • 6.
    0 500.000 1.000.000 1.500.000 2.000.000 2.500.000 3.000.000 3.500.000 4.000.000 4.500.000 5.000.000 2001 2006 20072008 2009 2010 2011 2012 2013 Current Nº de fichas casi se duplicó desde 2012 hasta principios de 2014 Crecimiento de fichas(millions)
  • 7.
  • 8.
    Más de 4,5millones de empresas turísticas en más de 147.000 destinos 500,000+ Lugares de interés 915,000+ Hoteles, B&Bs and alojamientos especiales 2,4M Restaurantes 650,000+ alquileres vacacionales 29,000,000+ fotos de viajeros
  • 9.
    Foto publicitaria Lo queencontraron los viajeros
  • 10.
    La gran mayoríade las opiniones son positivas Source: TripAdvisor. Percentage of all ratings, January 2014 48% 30% 12% 5% 5% Puntuación media: 4.12
  • 11.
    Source: PhoCusWright’s “CustomSurvey Research Engagement,” prepared for TripAdvisor. December 2013. Los viajeros españoles generalmente buscan información acerca de… 82% 59% 46%
  • 12.
    Más del 80%siente que las opiniones en TripAdvisor le ayudan a tomar decisiones mejor informadas y disfrutar de un mejor viaje Source: PhoCusWright’s “Custom Survey Research Engagement,” prepared for TripAdvisor. December 2013.
  • 13.
    de usuarios leencontenidos de TripAdvisor en otras páginas web todos los meses 500 millones
  • 14.
  • 15.
  • 16.
  • 17.
    TripAdvisor Data Collection– Example Unique live interactions that we can now capture in our DMP Traveler searched for Paris Hotels Traveler is looking to Travel in 3 days (today is 8/25) for 5 days from Thursday - Tuesday Traveler is looking for a 5 star, good value hotel with a Restaurant near the city center Traveler visited hotel page; read 6 reviews and viewed 7 photos Traveler clicked to book a recommended hotel
  • 18.
    Designing Your Campaign Leveragingour insights and tools to maximize your investment Behavior #3: Brand Behavior #2: Commerce Click Behavior #1: Destination = ADVERTISER’S DATA i.e. Marriott Pushes Loyalty Card Audience to TripAdvisor 2nd PARTY DATA AGGREGATOR’S DATA i.e. Blue Kai’s Demographic Segments (18-25, Female, etc.) 3rd PARTY DATA 1ST PARTY DATA TRIPADVISOR USER DATA i.e. Users looking for a Miami Hotel
  • 19.
    Robust Data SetDrives Custom Audience Creation and Intelligent Targeting 1st & 3rd Party Data Calendar Targeting Destination Spend LevelsBrand Commerce Clicks Trip ThemeTravelers Travel Needs RestaurantAttractions Audience Demographics Interest Past Purchases In-Market
  • 20.
    Advertiser Data +TripAdvisor Data = Improved Targeting, Messaging and ROI Advertiser’s Users on TripAdvisor ADVERTISER Advertiser Opportunity Example Use & Benefit Exclude Users From Media Plan = Increase Efficiency Change Creative Users See = Increased Impact