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 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.
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!
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?
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.