Eyefortravel prague LikeCube

The Power of Recommendations Leverage Intelligent Customer Communications Strategies to Boost Loyalty & Conversions

What am I really looking for? • Similar to what I have liked before… • Matched with who I am… • From people like me…

Missed Opportunities

Social Graph

Filtered Search not Share “one of our big focuses is on finding better ways to surface the reviews from travellers “like me”. With some hotels having upwards of 2000 reviews, finding the relevant reviews for a given user is critical. Also, for destination reviews, allowing users to filter and find the activities and/or neighbourhood reviews most relevant to them can be tricky to get right. Expedia’s Jennifer Davies on UGC and booking conversion Feb 2010 - Eyefortravel

Taste Buddies

No. 1 UGC local review site in Europe “When we launched Qype in 2006, we thought that the person who shares her views gets something back. This is now being executed on in a material way”

Some (v common) Challenges • How do we reduce reliance on SEO? • How do we deal most effectively with UGC? • How can we deliver more value to those active contributors? • How can we convert passive visitors into active qypers • How can we grab the attention of first time visitors?

Registered Users

“Incredibly powerful!” “spooky” “not seen anything as good elsewhere” “a reason to get friends and family more interested” “bang on the money!”

Explanations: Taste Buddies • Surface reviews from people like me

What Next?

Non Logged-in Users

Converting Passive Visitors • Quick rating game

Use Implicit & ‘Light’ Data

Mobile: the Next Frontier

Recommendations Calls 500% 400% 300% 200% 100% Jan Feb Mar Apr May Jun Jul Aug Sep

User Reach 500% 400% 300% 200% 100% Mar Apr May Jun Jul Aug Sep

Communication Benefits Narrowcast not Broadcast Frontline Positive and Relevant User Reviews Increase Conversion Hyper-Targeted Advertising Innovative Mobile & Ancillary Opportunities Reduce Reliance on SEO

eleanor.ford@likecube.com +44 7816 005 781

Products meta-data Data from your User Generated or CMS/CRS Inferred Content (Tags, attributes, descriptions, (Ratings, thumbs up, wish lists, categories) searches, usage and click streams) LikeCube Delivered back to your web/mobile/newsletter Personalization Similarities Analytics Products you should like Similar products Predictive analytics Reviews from people like you People like you Targeting opportunities Personalized filter

Eyefortravel prague LikeCube

by LikeCube on Oct 12, 2010

Accessibility

Tags

Upload Details

Usage Rights

Statistics

Eyefortravel prague LikeCube — Presentation Transcript