Noise or Music? - The Insights Blog

Here I write about Google Analytics setup and usage; Online privacy; Data accuracy; Website usability; Conversion optimisation; and best practices for organisations wishing to achieve success online – the whole raison d’etre for measurement in the first place…!

I love to hear reader’s feedback, so please comment on my posts or share them.

Brian Clifton - Blog

Calculating your REAL ROI for AdWords

Categories: Google Analytics specific, Metrics understanding / Comments: 2

Here’s the problem… The default Return on Investment (ROI) displayed by Google Analytics is misleading for two reasons.

Issue 1: Google Analytics combines revenue form your transactions and goals. That can lead to double counting, if for example, an add-to-cart click is a monetised goal.
Issue 2: Google Analytics has no idea about what profit margins you operate under – how can it? Google therefore has to assume that *ALL* revenue generated by your visitors is 100% profit.

In this post I show you how to avoid these issues and calculate your AdWords REAL ROI. Its purpose is to take you to the next level – allowing you to move beyond adjusting bids simply based on conversions. Instead, you can go after the “highest” value converters.

Figure 2 – How big a difference is the default ROI versus the REAL ROI?
real-roi-chart
As you can see in Figure 2, we are not tweaking the edges here!

Read more

Multi-Channel Attribution Modelling – don’t write off the default models

Categories: Google Analytics specific, Metrics understanding / Comments: 1

 

Avinash Kaushik is a great measurement thought provoker (up there with the likes of Tufte imho), all-round nice guy and friend of mine. I always come away from his posts challenged and simulated – quite a feat to achieve for your peers in a niche industry. The following post from him – Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models – is a great reference read, though I disagree on a couple of items. Once you have digested Avinash’s thoughts, here is my input…

Read more

Why the Guardian is barking up the wrong tree with Prism

Categories: Privacy and Accuracy / Comments: 3

My thoughts on why the Guardian and the Washington Post are barking up the wrong tree with their constant side-stories. It is disappointing to read the story degrading in this way.

“Analysing this type of meta-data is exactly what companies such as Google, Yahoo, Twitter, Facebook etc. openly do.”

Seriously… what is the problem with collecting and analysing meta-data?

Read more

eMetrics London 2012 – Day 1 Thoughts

Categories: Metrics understanding / Comments: 1

I have been to all of the London events (I think) since 2004 so its been interesting to see how things have changed over the years. Here’s my thoughts:

What’s Out
Talking about cookies i.e. deletion rates
Feature wars – tool X has 10,000 “must have” features Beauty Parades – vendors lined up to pitch their products
KPIs – How to select/choose your key performance indicators
Data accuracy questions

What’s In
Big data – we all now have it
Tag Management – the CMS of third-party script placement
Privacy – good/practise, how does Google fit in
Case studies – more examples of what works, what does’t, search marketing and content optimisation

Read more

© Brian Clifton 2015
Best practice privacy statement