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Matt Clarke
Attends Manchester Metropolitan University
Lived in Gargrave
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Matt Clarke

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Nice summary on Universal Analytics custom dimensions > http://www.knewledge.com/en/blog/2014/02/custom-dimensions-metrics-universal-analytics/
Universal Analytics makes it easy to track custom data using custom dimensions and metrics. Here you find some useful ideas what custom data can be tracked.
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Matt Clarke

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Found an interesting paper while writing up my dissertation (which is on coupon code websites and why they are shite) which examines CLV model performance. Here's my summary and the paper.

Malthouse (2009) has undertaken one of the few empirical studies to compare the performance of the various CLV models in a project in which 24 teams examined the same 15 year data set. Malthouse (2009) found that all CLV models required substantial skill to build and recorded marked difference in their performance, even within the same model family. He concluded that the complications of calculating CLV meant that the success of models was determined more by the modeller than the model family used. Further, the results also call into question whether CLV can be predicted accurately at an individual level at all, something also noted by Blattberg, Malthouse and Neslin (2009), with the best individual-level model off by a factor of 5.4, which implies that firms using CLV to allocate marketing resources will often invest in the wrong customers. 
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Matt Clarke's profile photoYali Sassoon's profile photoTim Leighton-Boyce's profile photoJim Downing's profile photo
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Yes, my supervisor is keen for me to publish. Just need to persuade the boss! 
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Matt Clarke

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This has just come in handy. A very thorough guide to doing more complicated stuff (in relative terms) with robots.txt. 
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Nice post from +Michael Whitaker on my favourite GA feature - event tracking. The error message tracking one is a beauty. 
 
Event tracking love fest!
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Matt Clarke

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Outstanding > 
 
Google Analytics recently launched a set of new additional 'realtime' features.Here are 6 free dashboards to make use of some of these:

http://p.barker.dj/realtimedashboards

They're designed to work on any type of site, and I've tried to keep them functional, rather than packed full of widgets.
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Matt Clarke

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Enhanced iFrame Tracking in analytics.js

Tracking users across iFrames has been difficult until now. We just published a document that describes exactly how easy it is using the new Google Analytics Javascript tracking library (analytics.js).

One of the really cool features is new support for cookieless tracking. Many browsers have issues with setting cookies in iFrames. For iFrames that are tracked with cross domain tracking, you can configure analytics.js only read the cookies passed via the URL and not to use/set cookies in the iFrame; solving browser issues; increasing data accuracy. Awesome!
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Matt Clarke

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R's BTYD model looks just the thing for my MSc project CLV data analysis ...
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Have you tried RStudio, Ian? That makes much of it a lot easier to handle. Rattle is also quite nice for the data mining side of things. The learning curve is a bit on the steep side, though...
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Matt Clarke

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Blimey. That's the second useful thing I've stumbled across. Must be my lucky day...
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Crikey. It's been months since I posted anything here...

Anyway, here's a quick bit of code you can use to track zero result searches in Google Analytics.

Stick this on your "no search results" page and it will grab the contents of your HTTP GET request search parameter (q in this case) and assign it to a Google Analytics event so you can track it. 

<script language="JavaScript" type="text/javascript">
function getSearchTerm(name) {
  return decodeURIComponent((new RegExp('[?|&]' + name + '=' + '([^&;]+?)(&|#|;|$)').exec(location.search)||[,""])[1].replace(/\+/g, '%20'))||null
}
_gaq.push(['_trackEvent','Zero result searches', ''+ getSearchTerm('q').toLowerCase()  ]);

</script>
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Matt Clarke's profile photoCharles Meaden's profile photoJan Erik Gulliksen's profile photo
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Thanks Charles!
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One of two that my five year old son, George, caught today! 
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Wow!
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Just stumbled across Quill, via +Damion Brown. This is a tool which analyses your GA data and produces a text-based narrative, explaining what's happened and what the big drivers or issues were. I've dabbled with creating something similar to this in the past, albeit in a very simple form, but this takes it to the next level. See: http://narrativescience.com/artificial-intelligence-data-engine/
 
Have you checked out Quill? 

It's a platform that plugs into your Google Analytics account and gives you a structured, text-based narrative based on the data it pulls down.

It's a very clever bit of semantic engineering; and the stuff it produces, for free, is more in-depth and relevant than what I've seen agencies charge for!

Here's an example of what it produces, automagically:

New visits fell slightly last week to 32% of total visits. New visitors stayed on the site longer and viewed more pages per visit than average. They also had a lower bounce rate at 17%. Instagram 3.4.2 saw a more than fivefold increase in visits from the previous week's 19. Mobile visits rose moderately to 75,837.

They've had a bundle of new features added today, which I've summarised in the link below. I really recommend Quill -- still in beta, but incredible.

http://goo.gl/5ZvVZ
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Jason Hamblin's profile photoMatt Clarke's profile photoHussain Mehmood's profile photo
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Hi everyone, I am looking into Quill for Google Analytics. Can anyone share their recent experience?
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Have him in circles
371 people
Jean Clarke's profile photo
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Ecommerce director
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Gargrave
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Ecommerce director, analytics implementation geek and former editor-in-chief. Currently on the Econsultancy MSc in Internet Retailing.
Introduction
Ecommerce director, analytics implementation geek and former editor-in-chief. Currently on the Econsultancy MSc in Internet Retailing.
Education
  • Manchester Metropolitan University
    MSc in Internet Retailing, 2011 - present
  • University of Leeds
    MRes in Bioinformatics, 2000 - 2001
  • Imperial College London
    MSc & DIC in Advanced Methods in Taxonomy and Biodiversity, 1997 - 1998
  • Aberystwyth University
    BSc (Hons) in Freshwater and Marine Biology, 1994 - 1997
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