Filed under: #mktgcloud, Datarati, Social Media | Tags: Analytics, Data, Social Media
The real money in social media might not reside in the ads that sit on Web sites like Facebook and Twitter, but in the data produced by users’ frantic friending and sharing.
The rationale is simple. Internet users are now spending 22 percent of their time in social media, and Internet activity leaves behind a trail of data: what people like, what they share, and who is connected to whom with similar tastes. For publishers and application makers, licensing all that social data is a no-brainer — found money for what is in essence a waste product of their services.
For advertisers, social data is a potential boon: a way to find likely customers based on their sharing and communication habits.
More:
http://www.adweek.com/aw/content_display/news/agency/e3icb5eee0f228ca2291ecd3dcf09d3a84c
According to an SEC filing, ClickFox has raised roughly $17.9 million in fresh funding. ClickFox started out in 2000 as a Web analytics company, but has matured into a full-fledged multi-channel metrics provider that aims to help its clients get a complete view on customer experience.
Update: a press release confirms the financing round, which was led by Morgan Stanley Alternative Investment Partners. ClickFox says it has achieved profitability and will use the new funds to expand its sales and marketing efforts worldwide.
ClickFox realizes that customers engage with companies through a variety of service channels these days, from visiting a website, voice calling and online chat applications to kiosks, retail stores and mobile apps and websites, and aims to serve its clients with a cross-channel dashboard for keeping tabs on this complex tangle of touchpoints in order to gain insights into how and why customers behave the way they do.
Want to really understand what’s going on at your media agency?
Google is blowing the doors off with its display advertising business, which is doing so well that the company bragged about that it is on a $2.5 billion annualized revenue run-rate just in display.
A big part of that growth is coming from YouTube and Google’s own sites. But another big driver of display advertising growth both for Google and across the industry is coming from a less well-understood source: the big advertising agencies themselves and their so-called trading desks and demand side platforms (DSPs).
By one estimate, these DSPs already account for 10 percent of online ad spending, and could grow to as much as 50 percent over the next few years.
Full Story:
http://techcrunch.com/2010/11/24/oogle-publicis-display-dsp
88 per cent of household internet users have performed one or more e-commerce activity in the last six months, reveals this report on Australian consumer participation in the digital economy.
Banking transactions, purchasing goods or services and paying bills online were the most popular e-commerce activities undertaken by survey respondents.
The report finds that the majority of Australians with a household internet connection are adept at engaging in a range of different e-commerce activities online, with nearly two-thirds (62 per cent) of respondents undertaking at least four different types of e-commerce activities in the last six months.
Filed under: Algorithms, Datarati, Predicitive Modelling | Tags: Kaggle, Predictive Analytics
Kaggle is proud to announce a world first! In-line with the Premier’s State Plan for Open Government, the New South Wales Minister for Roads, David Borger, today announced the first ever predictive modeling competition for government.
The NSW Roads and Traffic Authority (RTA) is offering $10,000 for the algorithm that best predicts travel times on Sydney’s M4 freeway. Two years’ worth of historical data on road use between 2008 and 2010 has been made available for the competition.
The predictive model will be used to enhance the RTA’s recently launched live traffic website that provides information to motorists on incidents and congestion.
More:
http://www.kaggle.com
Facebook is expanding analytics once reserved for Pages with more than ten thousand fans.
All Page admins will now be able to see impressions for each of their posts. They’ll also see the feedback rate, or what percentage of time fans “like” or interact with their posts.
Facebook is also making some changes to how monthly active users or MAUs are counted. Instead of users that actively “like” or comment on content, all unique users that see posts will get counted into a Page’s MAUs, which will drive overall numbers up.
Facebook originally introduced these feedback analytics in January to Pages with more than 10,000 fans; they help Page owners understand how much exposure their content is receiving. Impressions are how often a post is rendered in a news feed; it is not how many unique users have seen a post.
More:
http://www.insidefacebook.com/2010/11/23/facebook-insights
In advertising, if you deliver better results, you will get more advertising dollars thrown your way.
That appears to be what is happening withRocket Fuel, an online ad optimization startup which is showing some promising growth.
The company only launched last year, but its third quarter revenues of $5 million were ten times higher than last year’s, according to CEO George John.
Its annualized revenue run-rate based on the past 30 days is $30 million ($20 million based on the past quarter), and the company is already profitable.
More:
http://techcrunch.com/2010/11/22/rocket-fuel/
Filed under: #mktgcloud, Behavioural Targeting, Datarati | Tags: Re-targeting
Filed under: #mktgcloud, Algorithms, Analytics, Datarati | Tags: R, Statistical Computing
“R is the most powerful statistical computing language on the planet; there is no statistical equation that cannot be calculated in R.”
Beyond “just” a language, R is a toolset, a community, and a lot of free software.
More:
http://www.r-project.org/
