Marketing Optimization includes everything that is related to measuring and optimizing the online marketing budget. It includes acquisition techniques such as PPC, SEO, social media advertising and banners. And it also includes retention techniques such improving visitors’ engagement and conversion rates.
This article walks you through GA Effect, a web application that helps you identify whether events happening on your Google Analytics data are statistically significant or just pure chance; in other words, it separates signal from noise. In this article you will learn how to use GA Effect and interpret the results.
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.
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.
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.
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!
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.
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.