In this post, Pere Rovira discusses COGS (Cost Of Goods Sold) and LTV (Lifetime Value), two fundamental business metrics that can help web analysts be more meaningful and influential with their analysis.
Cart abandonment is often not a final decision. When viewed as part of the buying cycle, like buyers who research competitors, the abandonment issue becomes manageable. Our goal, then, is twofold: lower the initial abandonment rate and raise the reclamation rate on abandoned carts.
In this post Kristoffer Olofsson provides a guide to the new Enhanced Ecommerce methods for product impressions and detailed views, which will give us actionable insights that we can work with to continuously improve the presentation of products and the performance of our ecommerce business.
When you start your Conversion Rate Optimization (CRO) journey you most probably do it chaotically. Unfortunately, the absence of regular processes results in poor results and in longer optimization cycles. In this article you will learn an effective methodology that will lead you to more successes and allow you to do more with less.
Google Analytics Benchmarking is extremely valuable tool in that it provides the necessary context to show you if your increase (or decrease) is not only a result of your actions, but of a larger trend in the industry.
Early this year I published an article with 10 actionable Google Analytics tips. Since then, I wrote a few dozen posts on my weekly tips on the official Google Analytics Google+ page. In this article I share the top 10 tips from January to June.
In this post, Kristoffer Olofsson covers some of the benefits of using Custom Definitions in Universal Analytics, as well as have a look at how they are leveraged in practice by startup 'The Beta Family', a crowdsourcing platform for beta testing apps.
In this post Daniel Waisberg describes a dashboard that can be used to measure your most profitable channels, pages and demographics when it comes to AdSense revenue. He also shares a link to download the dashboard using Google Analytics.
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.