This weekend, I bought a new laptop. I went for a sleek Lenovo IdeaPad 710s Plus with a 256 GB SSD harddrive, lots of memory and a dedicated graphics card. But getting a new computer made me realize just how much software I’m actually using. As an ecommerce consultant, the entire software stack of the digital marketer is actually quite comprehensive. I even had a hard time remembering what to install. Not because of a lack of frequency of using different software, but simply because there’s so much! So I want to share my software stack – also as a checklist for myself for next time I’m getting a new laptop. Continue reading
Implementation and auditing of Google Analytics and Google Tag Manager is essential when working with web analytics. After all, what good are reporting and analytics if you can’t trust your data? Usually, when setting up GTM and Analytics on a website, you’ll find yourself checking source code for the correct dataLayer or using real-time reports to see if data comes in. But Chrome Extensions for Google Analytics and Tag Manager makes it much easier.
The thing is, the whole implementation and debugging part is a cumbersome process. So is it possible to optimize that process? Well, yes – say hello to Chrome Extensions. Chrome Extensions are small plugins for the Google Chrome browser. And some of them are specifically for debugging the setup of Google Tag Manager and Google Analytics. So in this post, I’ll introduce you to my list of the most essential and, IMHO, the best extensions for Google Analytics and Google Tag Manager. Continue reading
So lately, I’ve been learning to use R with Google Analytics using R Studio. I’m just a couple of weeks in, but so far it has proven just amazing. By combining R with the Google Analytics Core Reporting API, it’s possible to do analysis, calculations and statistics much faster and deeper than using the Google Analytics interface or even add-ons to import Google Analytics data into Excel. Since R is script based, all analyses are automatically documented – and they’re easily reusable. Throw in the built-in plot functions (or the ggplot2 package) to build a wide range of visual representations of data, and you got an extremely powerful data analysis tool. However, what I’ve found is that – compared to Google Analytics – it’s more difficult to find good information, tips and learning material online. So I thought I’d share some of the articles I have come across. Continue reading
This is the first post in a series of Reading List posts. Part of working with web analytics and conversion optimisation is to keep learning. There are a lot of ways to learn; conferences, books, networking and so on. And then there are people you don’t know. I use Twitter, LinkedIn and even Google+ to follow people that do great stuff within Analytics. And very often, I’ll come across interesting posts or articles with great solutions for different analytical problems. With this series, I want to share what I believe to be some of the best recent articles. And please do send me a suggestion if you think I should read something. Continue reading