Will Scully-Power

April 17, 2014, 6:30 am
Filed under: Customer Lifecycle Marketing



Technology Should Not Lead Digital Transformation
April 14, 2014, 1:01 am
Filed under: Customer Lifecycle Marketing, Data

Digital Transformation graphic1 The Elements of Digital Darwinism1


LIVE WEBINAR: Successful campaign strategies for all stages of the customer lifecycle
April 11, 2014, 2:02 am
Filed under: A/B Testing, Customer Lifecycle Marketing


REGISTER: for our LIVE WEBINAR on ‘Successful campaign strategies for all stages of the customer lifecycle’


WINNER: of the International Partner Excellence Award!!!
April 9, 2014, 11:24 pm
Filed under: #mktgcloud, Datarati

Marketing Nation

Datarati is Asia-Pacific’s fastest growing lifecycle marketing automation agency.

Co-founded by a group of marketing automation and CRM entrepreneurs, Datarati has been a Preferred Services Partner since 2009 and has the largest certified team of lifecycle marketing consultants outside of North America.

Datarati’s team works daily with hundreds of digital and data-driven marketers across Australia and New Zealand, helping transform and change the way they think about their lead, customer and member lifecycle strategies.

Datarati provides a full service agency delivering implementation and training of marketing automation technologies, campaign planning and execution, analytics, creative, UX and development capabilities.

Google Analytics For Cross Device Measurement
April 6, 2014, 6:16 am
Filed under: Uncategorized


User behavior is not limited to a single device, and very often people jump between devices expecting a smooth transition. As Michal explains (did you buy her book already?), there is a myriad of techniques to create rich experiences that can satisfy (and hopefully amaze) them. But how can we be sure that those techniques are bringing the desired outcome? Using Analytics. Data is the best way to understand how people behave online, what they like and what they don’t.

As I mentioned in the Web Analytics Process framework, the first (and most important) step when approaching analytics is to define goals and build a set of Key Performance Indicators before you start worrying about data collection. And this is not different when it comes to cross device measurement, maybe even more accentuated as we have multiple sets of goals (one set for each device).

So, before we get into how to collect cross device data and which kind of reports you will have access to, here is a table I believe you should use in order to define some of the goals for each device. As you can see, I divided it into Micro and Macro goals, so that you know which are the most important goals for each device.


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