The Power of Recommendations

Leverage Intelligent Customer Communications

Strategies to Boost Loyalty & Conversions

• Similar to what I have liked before…

• Matched with who I am…

• From people like me…

What am I really looking for?

?

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 conversionFeb 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

Jan Feb Mar Apr May Jun Jul Aug Sep

500%

400%

300%

200%

100%

User Reach

Mar Apr May Jun Jul Aug Sep

500%

400%

300%

200%

100%

Communication Benefits

Narrowcast not BroadcastFrontline Positive and Relevant User Reviews

Increase ConversionHyper-Targeted Advertising

Innovative Mobile & Ancillary Opportunities

Reduce Reliance on SEO

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

Delivered back to your web/mobile/newsletter

Data from your CMS/CRS

SimilaritiesSimilar productsPeople like you

PersonalizationProducts you should like

Reviews from people like youPersonalized filter

AnalyticsPredictive analytics

Targeting opportunities

Products meta-data

(Tags, attributes, descriptions, categories)

User Generated or Inferred Content

(Ratings, thumbs up, wish lists, searches, usage and click streams)

LikeCube