Using Ngrams to Analyse Keyword Performance

If, like me, you’ve spent a large part of your career analysing search engine traffic, you will be constantly looking for new perspectives on your data which will help you gain more understanding and insight (and therefore improve your strategy and results).

For me, mainly focussing on PPC traffic, the common analysis I’ll perform is to look at keyword ‘segments’ – this is simply finding commonalities within keywords and slicing up the data to pick out trends or opportunities presented by looking at keywords in this format.

[Read more...]

Is Web Analytics Dying?

The market around Web Analytics has existed now for almost 20 years, taking into account the first tools that were able to measure the statistics of a website by log file-overview.

Quite a long time when compared to the existence of the Internet itself. You could say that out of approximately 21 years of Internet, Web Analytics exists for 19 years. So, almost directly after the “invention” of the web, people started wondering who is using it.

Mankind is curious

Not often have those kind of questions risen that quickly. The first car was engineered in 1886, but the first speedometer was developed years later in 1902. [Read more...]

Mobile Analytics: The Key to Understanding User Behavior

Why understanding mobile behavior using mobile analytics is vital for app optimization

The key to understanding behavior in any practice is paramount to refining it. If you are a public speaker and use a coach sometimes to study your delivery, appearance and body language, you are doing so in order to analyze, learn and refine your craft.

When it comes to user behavior in the context of mobile app use, it really is no different. When you release a mobile app, you need to gain an understanding of the why behind every user action. Traditional analytics is great in giving you a lot of the key metrics, such as number of active users, drop-off rates, demographic breakdown, etc.

You want more meat than just numbers – you want the WHY behind the numbers. Visual mobile analytics goes beyond traditional analytics, which is static, by telling you the complete story in realtime. It places its analytical focus on the WHY instead of just the WHAT and the associated key metric numbers. Seeing visually how users use your app will allow you to see the why. This is essential for app optimization. [Read more...]

Best of WAW … so far!

Image of words used in internet marketingIt’s been six months since we took a look back at the most popular posts so we thought it was time to let you read them again and remind you how amazing our bloggers are! 


We have a Plan!

Christmas 2013 we had a plan for Web Analytics World’s future and so we thought we’d show you the changes we’ve made since then with more to come: 

  1. Check out our new Featured Bloggers page with some new faces
  2. Our updated theme is the first step in our improvements plan
  3. The second is our upgraded Mobile look – check it out and let us know what you think in the comments below! 
  4. Remember, if you want to write for us send us an email ( and tell us your ideas.

Now for the Best of 2014 … so far

We’ve looked at our Analytics to see which posts were most viewed, commented on and which ones you shared the most on your social media platforms. Have a favourite that didn’t make the list? Let us know below in the comments and we’ll re-share out over social media your top 5 posts! [Read more...]

Good Thinking on Attribution Models

Three hands stacked together in a classroom indicating agreement

Everyone wins when data models are used to understand how traffic sources work together to lift conversion rates.

The Twitter and LinkedIn algorithms both thought it would be a good idea for me to read Gary Angel’s latest post the other day. I’m glad they recommended it since it digs into some really interesting considerations around attribution models.

Giving Credit Where Credit is Due.

We are always attributing some outcome to some action in our analyses – at the most basic level when we report on how many visits came from each traffic source – we are attributing visits to a traffic source.

Attribution models help us understand how marketing channels work together to produce an engaged audience and impact business outcomes. For instance, I would not have visited Gary’s blog if I didn’t get a notification from my social media services that he had posted something new. [Read more...]