The implementation of an analytics, testing or targeting tool is a crucial step to a successful website. It allows the analyst to trust the data and take data driven decisions. An accurate Marketing Measurement enables the marketer to allocate budget to the most profitable acquisition channels and to provide the best user experience to both new and returning visitors.
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 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 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.
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.
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.
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.