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Matt Clarke
Attends Manchester Metropolitan University
Lived in Gargrave
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Matt Clarke

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Useful new feature to allow the creation of custom acquisition channels in GA >
 
Google have silently launched a great update to Acquisition Channels. Haven't found any mention of it online yet....

You can now create additional channel groupings and choose which one to use on the channels report.

Better still - they are retrospective and deletable, so you can now group and analyse your traffic in many different ways historically.

e.g.

- Separate brand terms out into a separate channel, or groups keywords in other ways
- A single Paid traffic channel which combines all advertising together 
- Split different types of social or referral traffic into different channels e.g. forums

There's also a new option to create private channels so you can experiment with your own ideas without it confusing your client.

You can't share private channels. You can copy existing channels but you can't copy public to private or vice versa, making it a bit cumbersome to test modifications to your existing setup.

If you come up with any great uses for this then please post them :)
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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 ...
An introduction to modeling non-contractual customer purchasing with BYTD package in R
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Ian Jindal's profile photoMatt Clarke's profile photoSergey Mastitsky's profile photoRobert Kingston's profile photo
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Dear Matt, is there a second part of this presentation somewhere? Great job in presenting the topic, b.t.w!
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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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Jan Erik Gulliksen's profile photoCharles Meaden's profile photoMatt Clarke'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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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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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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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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Yali Sassoon's profile photoTim Leighton-Boyce's profile photoMatt Clarke'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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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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Very good post covering responsive design resources and tools. Wish this had been written a few weeks earlier! 
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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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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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Hussain Mehmood's profile photoMatt Clarke's profile photoJason Hamblin'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
422 people
Yaa Osei's profile photo
Erno Hannink's profile photo
BluecubeIT Colorodo's profile photo
Павел Леншин's profile photo
Pradeep Tiwari's profile photo
Habetu Gashaw's profile photo
renul nervos's profile photo
kinmaya Tyczynska's profile photo
Olivia Parker's profile photo
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Ecommerce director
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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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