get personal sanjay vakil, phd
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Get Personal Sanjay Vakil, PhD. Overview. Intro to TripAdvisor Intro to Instant Personalization The Rollercoaster + Three equations. Online reputation is critical. “. - PowerPoint PPT PresentationTRANSCRIPT
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Get Personal
Sanjay Vakil, PhD
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Overview
• Intro to TripAdvisor• Intro to
Instant Personalization• The Rollercoaster +
Three equations
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Travel review Web sites and hotel reviews on online travel agencies (OTAs) are among the most influential forces most frequently cited by travelers when shopping.-PhoCusWright, Social Media in Travel, June 2010
Online reputation is critical
““
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UGC Fuels and Rules
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• 40MM unique visitors per month
• 20MM highly loyal registered members
• 45MM++ traveler reviews and opinions
• 21 new contributions per minute every day
• 455K hotels, 92K attractions, 564K restaurants in 71K destinations worldwide
• 245,000 registered owners
TripAdvisor Snapshot
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Overview
• Intro to TripAdvisor• Intro to
Instant Personalization• The Rollercoaster +
Three equations
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Instant Personalization
• Invite-only Facebook program
• Opt-Out, not Opt-in– Only on .com for now
• Facebook provides TripAdvisor access to– Visitor’s profile data– List of friends
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The big deal
We can instantly personalize a user that has never been to
TripAdvisor before
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Instant Personalization: Homepage
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Instant Personalization: Homepage
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Instant Personalization: Homepage
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Instant Personalization: Other Pages
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Up and to the right!
•Over 10M/mo
• For those users, we see:–Decrease in bounce– Increase in page views– Increase in commerce
•Minimal negative feedback– < 1% opt-out–Few complaints on forums
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Press
• “People are accustomed to asking friends for travel suggestions and advice, making TripAdvisor a wise choice for the expansion of the Instant Personalization program”– InsideFacebook.com
• “…today's addition of TripAdvisor brings friends' recommendations and opinions to a realm where friends really do matter - travel.”–Read/Write web
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Overview
• Intro to TripAdvisor• Intro to
Instant Personalization• The Rollercoaster +
Three equations
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Initial Thoughts
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Initial Thoughts
• Excitement over being the an IP partner
• We have 40M reviews!
• Build an engaging interface
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Property Reviews
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Reality
•How many reviews can we actually show–Privacy Policy–Are your friends members of TripAdvisor?–How of your friends have written reviews?
• The Internet is a big, lonely place
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Lonely
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Equation #1
Your UsersInternet ≅ 0
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Equation #1
Your ContentInternet ≅ 0
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The Drop
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Hard UGC Numbers
•Of 100 visitors
• 10 will become members
• 1 will generate content
• Facebook users have ~200 friends
• ~2 of your friends have contributed content
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Personalization Pyramid
PropertyReviews
GeoReviews
Reviews
?
Clickstream
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Property Reviews
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Geographic Reviews
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Make Every Review Count
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I feel... thin. Sort of stretched, like... butter scraped over too much bread.- Bilbo Baggins to Gandalf
Stretching Content
““
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CTR still matters
PropertyReviews
GeoReviews
Reviews
Clickstream
10%
5%
1%×
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Equation #2
Engagement ∝
(Content) × (Relevance)
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Personalization Pyramid
PropertyReviews
GeoReviews
Reviews
?
Clickstream
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What Next?
• Get• More• Content
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Cities I’ve Visited
• Facebook application built in 2007 as part of the social app landgrab
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CIV stats
• 25M+ users• ~ 60 pins / user• ~ 1.4B pins• + “profile” pins
•Users were notified that pins would be shown to friends
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Better CIV numbers
•Of 500M Facebook users
• 5% have used CIV
• Facebook users have ~200 friends
• ~ 300 pins in CIV
• + (100 hometown pins)
• + (100 current_city pins)
• ~ 500 pins worth of social footprint
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Cities I’ve Visited
•Minimal content
• Jumping off point for a conversation
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Equation #3
(weak content) ×
(your friends)=
(good content)
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Lessons
• Don’t optimize for the top of the pyramid• Figure out how to stretch
your data• Find an ethical source of
additional data
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Hiring
• Like this stuff?
• Come work with me!
• (please)