Bounce rates can reveal visitor (dis)satisfaction on a web page. We discuss how hard and soft bounce rates provide greater detail and understanding
How did "Not Provided" actually happen? It's a dreadful fudge, and is full of holes. Here we examine the conversation that led to its implementation.
We discuss how to analyse and visualise searchbots visits, how they can become distracted, and how to help searchbots be more effective.
Digging into 2.5 million search queries to examine how the UK populace search for Nadine Dorries, no doubt soon to be the "jungle queen"
A research project commissioned by the BBC into how people search for news and politics in the UK, including visualisations and recommendations
Exploration of the team gb medals via a pie chart, a bubble chart, and via animations of their growth over time and of which sport won which medal
How much does "(not provided") affect our websites (data from Hitwise UK)? Does it impact Google Analytics Premium (yes)? And what of the future?
Serving content for mobiles can seem a little confusing: feature phones, smartphones, subdomains, etc. Brief introduction to mobile optimisation
A visual analysis of 163 pages of email correspondence that were released to the Leveson inquiry today (24/4/12) as part of James Murdochs testimony
Just after #BrightonSEO I was invited to #ionSearch where I spoke about keyword research and relevance analysis and presented on searchbots
I was lucky enough to speak at #BrightonSEO, talking about visualising searchbots visits, and how we actually know what they request and do
I'm discussing what factual data we have that tells us what searchbots actually do, how we can visualise their visits, and we can help searchbots.
I'll be discussing sources of search data, how to cost-effectively use this data to increase relevance, and non-ranking measures of success
Django - Why Use the Django Framework?