In most businesses insight, analytics and optimisation are separate from technology development or IT. Most commonly, these functions are housed within a marketing team which sits, both physically and organizationally, apart from the development team. Getting anything done by IT is traditionally very hard to do. What I am aiming to show is how the Agile endeavour can itself become truly data-driven, analytical and experimental.
I was driven to write this post after chatting to the online marketing manager of a large international company, who told me that 'dwell-time' was now one of their most important KPIs; and that they had issued instructions to all local marketing teams that the primary focus for the coming year was to 'increase dwell-time', … Continue reading Measuring Engagement & The Dangers of Dwell-Time
I am often asked what an 'average' conversion rate is, especially for e-commerce websites, which people find useful when they want to compare their own sites against others, or as a way to set themselves targets for increasing their own conversion rates. The truth of the matter is that this approach is extremely problematic on … Continue reading The Problem with Average Conversion Rate Benchmarks
Drowning in Data The concept of 'drowning in data' cannot be understated when it comes to digital analytics. Apart from the sheer quantity of information available, the situation is worsened because the tools we use are so terribly fast and effective; it has never been easier to slice, dice and peel your way through such … Continue reading How to Build a Digital Measurement & Optimisation Framework