The articles below focus on Web Analytics & Optimization, the art and science of improving websites based on the analysis of visitors' behavior. They focus on analyzing and optimizing marketing efforts, turning new visitors into customers and returning customers into loyal friends. Learn a broad range of techniques (such as social media, segmentation and other website optimization) in order to increase revenue.
Learn how to use Google Analytics to understand how customers move through your website, where they fall off before making a purchase, how they're interacting across devices and more!
Table filters are a very powerful feature in Google Analytics. They allow you to perform deep analysis from within the interface. In this article you will learn best practices when it comes to table filters and a few related topics.
In this article, Google Developer Expert Simo Ahava, walks you through how the Google Tag Manager API works, what you can do with it, and then he wraps things off with a simple example, where he uses Python to list the GTM accounts and containers your Google ID has access to. Fasten your seat belts!
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.
This article provides a step-by-step guide to Tag Manager Injector (TMI), a free Chrome extension designed to make the transition to Google Tag Manager as quick and painless as possible.
Data quality is an issue that affects all companies, independently of their savviness, size or industry. In this post Daniel Waisberg discusses how to navigate the Google Analytics Diagnostics feature, an actionable and timely source of data quality insights.
In this article Nadia Schwartz provides a few tips and tricks to make Google Analytics Goals work better for you and ensure your data is reliable. You are doing yourself a disservice if you haven't set them up.
In this post Santeri Salonen shows a method to measure cross-device behavior using Mailchimp's ID in conjunction with Google Universal Analytics User ID. This will enable website owners to measure cross device usage without requiring users to sign in.
In the presentation below shown in the article Daniel Waisberg summarize the process of going from data to insights with a six step framework he has been using for the last year.
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.