Will Scully-Power

Display Ad Optimiser showing 10x Revenue growth
November 23, 2010, 10:30 pm
Filed under: Datarati, Display Media | Tags:

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/


Re-targeting vendor MyThings scores $6 million in funding
November 23, 2010, 10:28 pm
Filed under: #mktgcloud, Behavioural Targeting, Datarati | Tags:

MyThings, which provides personalised retargeting services, this morning announced that it has raised $6 million in their third round of funding. The financing round was led by T-Venture, Deutsche Telekom’s venture capital arm, with participation of previous backers Accel PartnersCarmel VenturesDot Corp and GP Bullhound. MyThings, founded in 2005, claims its technology is capable of increasing return conversion rates of online retailers by more than 500%. Its proprietary optimisation technology is currently being used by leading European retailers such as Price Minister, Republic, PIXMania, Etam and Orange, and its total reach is said to surpass 1 billion monthly impressions these days.


More: http://techcrunch.com/2010/11/23/mythings-scores-6-million-in-funding-for-personalized-retargeting-technology/

Names You Need to Know in 2011: R Data Analysis Software
November 23, 2010, 9:57 pm
Filed under: #mktgcloud, Algorithms, Analytics, Datarati | Tags: ,

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/

Marketing Optimisation In The Presidential Campaign
November 23, 2010, 9:38 am
Filed under: #mktgcloud, Datarati, Optimisation, Video | Tags: ,

In this presentation delivered at Stanford, Dan Siroker, responsible for Analytics & Testing at the Obama Campaign, describes how they used data to win the presidential election.

He shares numbers from the online campaign and insights into how to apply Analytics to drive decision making on developing, designing, and marketing a website.

Watch Now: http://online-behavior.com/analytics/marketing-optimization-presidential-campaign-1136

Data Discovery: Tell Me Something I Don’t Know by Neil Mason – Part I
November 23, 2010, 9:32 am
Filed under: #mktgcloud, Algorithms, Datarati, Predicitive Modelling | Tags: , ,

In this session Neil explores the approach to insight generation through data mining and predictive analytical technologies.

Using real world case studies he covers the ins and outs of data mining analytics on digital data, which types of techniques can be used to solve which kinds of problems and some of the challenges that you will inevitable face along the way. Discover what your data can tell you if you ask it the right questions.

Data Mining Process and Predictive Analytics

In Part I (out of three), Neil discusses the difficulty of extracting signals from all the noise present in the overwhelming quantity of data we deal with nowadays. While we now have tools for free and the cost of collecting data is diminishing, Neil questions: “what do we do with all this data?”

He introduces other tools that can help us to address some of these challenges:

  • Data Mining is about discovering things we don’t already know. It is about uncovering patterns and relationships in data that we may not have already thought about.
  • Predictive Analytics is using that understanding to think about what might happen in the future; it is about applying those historical patterns to predict those future outcomes.

Neil goes over the Data Mining Process and the steps needed in order to implement it and, more importantly, to get insights out of it:

  1. Business Understanding: what problem are we trying to solve? What is the business trying to achieve?
  2. Data Understanding: do we have the data to be able to answer this questions? If not, what is the cost of acquiring that additional information?
  3. Data Preparation: all data is dirty and needs to be cleaned and transformed. This is the heavy lifting stage.
  4. Analysis & Modeling: the tools must be chosen based on what the business is trying to understand and the data available.
  5. Evaluate Outcomes: how well does the model actually works from a statistical point of view (significance) and from a business point of view (actionability)?
  6. Deployment: driving the insight into the business.

Watch Data Discovery: Tell Me Something I Don’t Know by Neil Mason – Part II

Watch Data Discovery: Tell Me Something I Don’t Know by Neil Mason – Part III

Neil Mason

Neil Mason joined Foviance as part of an acquisition of Applied Insights whom he was director and co-founder. With 25 years of in-depth industry experience in marketing analytics and strategy, Neil leads Foviance’s analytical consulting practice.This delivers an enhanced digital marketing analytics capability to both Foviance’s and Applied Insights existing and future clients.

Neil is one of the world’s leading analytics guru’s and he has a big reputation. He holds an MBA from Kingston Business School, a Diploma in Business and Economic Forecasting and currently serves on the Board of Directors of the Web Analytics Association, the global industry body for digital analytics professionals.


Five Predictions For Web Analytics in 2011
November 23, 2010, 9:27 am
Filed under: #mktgcloud, Datarati, Web Analytics | Tags:

Brian Clifton (PhD), is an independent author, consultant and trainer who specialises in performance optimisation using Google Analytics.

He is former Head of Web Analytics for Google EMEA, the author of  the Amazon best seller Advanced Web Metrics with Google Analytics, and a blogger atMeasuring Success.

Top 5 Predictions for Web Analytics in 2011.

1.) Privacy

2.) Optimisation rather than reporting

3.) Predictive Analytics

4.) Accessing the web will be different, so will measurement

5.) Webtrends will no longer exist

Read full story: http://online-behavior.com/analytics/web-analytics-predictions-2011-1145

Data in the Dirt
November 23, 2010, 7:19 am
Filed under: Data, Datarati, Video | Tags: ,

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