Tuesday
Jul132010

LikeCube's keynote at HEDNA conference: Getting Personal, The Power of User Activity

At the end of June, Eleanor Ford, LikeCube's co-founder, delivered the HEDNA spring meeting keynote in front of a large audience of senior executives from the leading online travel players, including Orbitz, Tripadvisor, HRS, Hilton, Pegasus, and Amadeus. She discussed the impact of personalisation on the web travel landscape, through the development of LikeCube's cutting edge recommendation technology for locations.

The keynote was followed by many questions, a confirmation of the interest of Online Travel Agents in personalization.

Quoted by HEDNA, Ford told attendees: “We are experiencing exponential growth in data that can be used for purposes that we have never thought of before”.
"Qype is a service that is putting user data to new uses. Its aim is to match a place you like, say a coffee shop, with other coffee shop reviewed by people that are very much like you. Qype epitomizes the trend of narrowcast rather than broadcast. Narrowcast focuses on explicit data geared toward the users’ preference".
"Hyper-targeting in advertising is an emerging trend, allowing for customized delivery of messages to customers", noted Ford. "And we’ve only begun to tap into the many ways we can utilize mobile to deliver relative consumer information".

So if you are an OTA (online travel agent) or TPI (travel partner intermediary), remember that the era of machine learning in travel and leisure has started - and LikeCube is there to get you through the journey.

For more, check out the keynote slides here.

 

Friday
Jun182010

Where next for location marketing?

The interesting thing about the geolocation space right now is that everybody senses the huge opportunity for location based marketing.

This week at TWTRCONF, the subject was debated by: Foursquare Dennis Crowley, Gowalla Josh Williams and SimpleGeo Matt Galligan. Yet no clear outcome as "Galligan admitted that the industry was going through a  'Wild West' period, and that it would be some time before the sector’s conceptual foundations and technical know-how shake down into an equilibrium" (kudos to Jesse Stanchak at SmartBlogs for capturing this).

We're not there yet, but part of the solution lies in the ability to improve the signal over noise ratio. Push marketing has been mentioned a lot as a monetization channel since the availability of geolocation became mainstream with smart phone. But it can't just be turned on because users would be bombarded by ads from every single shop they walk nearby.  And asking users to manually follow specific brands as a way to filter push marketing simply isn't a scalable solution. When you walk in a high street or city centre with 100 shops, you might be likely to shop at any given time in only 10% of them. And on a specific day and specific time, maybe 1 or 2 of them.

Behavioural understanding of places people might like is a way to deal with improving the signal over noise ratio. And information like checkins is one possible source of data for this.

Having the ability to predict places one might like is a marketer's dream. Geolocation alone isn't enough, but geolocation + personalization might well be the answer, because your chances of conversion are of a different order all together. One might say that if done really well (predicting the right places), you might even start considering push mktg as a feasible option (as signal/noise ratio will be good enough).

Cloud based recommendation engine for locations is what we do at www.LikeCube.com.

So if you are a web/mobile app capturing user location and want to experience these benefits, give use a call.



Monday
Jun142010

Would you "Like" to outsource your data?

Last month, we attended a great mashup event about privacy and the new Like phenomenom: Like: like me, love my data

Tony Fish introduced the panel, raising the point that in companies quest for our personal data, we, as individual, have to think about where we are on the public-private data sharing continuum.

He brought the idea that there are 2 forms of public data:

  • the paper/radiowave style public (tv, paper press) which has a very short lived footprint
  • the internet style public (social media, youtube, twitter, everything internet based etc) which stays for years to come, with implications that we are still trying to understand and often learning at significant cost (at least in terms of reputation, brand etc).

Tony also raised another point which is that the way we perceive this continuum not only depends on our mood (on those bad days, we don't share as much) but also on the value we feel we get from the service we share data with (or actually give data to is probably a more accurate description in many cases).

The backlash recently experienced by Facebook and Google wasn't surprising. While many argued that too much data considered private was made public without the user's consent, from the end user point of view, there was probably a lack of perceived gained value.

One suggested we should actually own our data and trade it with websites for a cost.

If services would deliver more value, such thoughts wouldn't exist, but there is clearly an issue of lack of value to date.

So if you are a website owner, when you ask your users to give something (eg, I like this), it isn't abnormal that they expect something back in exchange right away, not 12 months down the road. The idea of instant reward is built-in many of the most successful sites, as a way to lower the barrier of engagement.

Qype has enabled such feature using the LikeCube service, with their quick rating game. Any visitor (anonymous new user or registered qyper) can play this game which allow you to rate on the fly places you might like and get instantly rewarded for sharing this info with personalized recommendations. A neat way to engage users to share their data with clear benefits.

So how are you going to entice your users to share their data?