By my unofficial count, there are approximately a million ways to segment your users within Google Analytics. One of my favorite segments for predicting future success is looking at the demographics reports, because they allow us to look at the age range and gender of our customers to a great level of accuracy. Learn how to make the most out of it.
Jeff Sauer -
This article is a guide to the new Google Analytics Chrome extension: In-Page Analytics. The extension is intended to help its users understand their customers in a better and faster way.
Daniel Waisberg -
Following a recent post at Online Behavior on Visualizing Google Analytics Data With R I thought I would share my own Shiny application (a free package available for R) for visualising visits, bounce rate etc. from websites.
Chris Beeley -
This article shows how to easily rewrite multiple URLs in Google Analytics with the help of Google Tag Manager (GTM). This solution is life changing for websites that do not have friendly URLs, which makes analyzing customer behavior on websites very cumbersome.
Shuki Mann -
Content experiments for mobile apps can be extremely valuable to a business. We are no longer dependent on long development cycles as soon as we want to test something new. And when we do want to test, we can do so faster, more accurately, and with more certainty to avoid costly mistakes based on hunches. Learn how!
Kristoffer Olofsson -
Are you struggling with Google Analytics segments every now and then? Would you like to learn how to use/build them instead of just being overwhelmed with a "best segments" posts? If your answer to these questions is yes, I recommend you read this article very carefully!
Paul Koks -
This article provides important statistical references and actionable tips in order to run A/B Tests in a professional way. The ideas reflected in this article will help you improve your A/B testing techniques for better decision making and conversion rates.
Yaniv Navot -
We've all been there. Everything on surface looks like it's running smoothly. Data is coming in. The 30,000-foot view of your account looks like business as usual. You start upping your analytics game. Maybe you took some training and you're getting your hands dirty asking the tough questions of your data. But how do you know if you can trust your data in the first place?  
Dave Fimek -
If you have a website that is contributing to your business either directly or indirectly, you will probably want to track at least one of these events. Doing so will enable you to make smarter marketing decisions and make a start on a conversion rate optimisation strategy.
Ted Parry -
Before dismissing your great idea for the next campaign, ad, or website landing page, make sure you don't rely solely on qualitative data. By incorporating current neuroscience studies and other qualitative data to form hypotheses, you can begin testing these hypotheses thoroughly and interpreting the results to maximize your conversion optimization and create your next breakthrough campaign.
Chris Goward -