Tedious and unsexy, but extremely useful: Getting campaign cost data into your Web Analytics tool allows you to evaluate the performance of your online marketing end-to-end without having to resort to unsexy workarounds. At siroop.ch, we tested funnel.io, a Swedish tool that promises to import all your campaign cost data automatically into Google Analytics.
If your online shop analytics stops with the order, it is stopping short. Some product groups like Fashion tend to have high return rates, so looking at refunds can give you a different view of your shop and marketing performance. At siroop.ch, a new Swiss online marketplace, we tried to look at what happens after the order in both Google and Adobe Analytics. While Google’s imports may require a bit less setup time, they have major limitations. Adobe Analytics’ Transaction ID Data Sources gave us the full picture from Campaign to Cancellation.
Google Analytics contains dozens of features and hundreds of reports. What if you could discover a basic set of features that are useful for every website?
I have actively worked with Google Analytics for almost 10 years now and there a couple of features I see coming back every time that I work with Google Analytics.
No matter which online business I am involved with. In this blogpost I will shortly touch upon each of features and why they are a must to use. Further I will provide you with useful additional resources.
For most Google Analytics users, including web analysts, regular expressions can be daunting. However, even a basic understanding can greatly help you on your path to master Google Analytics.
In this blogpost I will share why you want to know more about regular expressions and where to apply them in your Google Analytics account.
For a Category Manager of an online shop with hundreds or thousands of products, it can get difficult to find those products that are performing poorly AND are worth optimizing.
You cannot simply work on all products that did not sell well last week, there are just too many. Focusing on only those products with high margins is not going to help much either.
Here are some helpful performance metrics you can create in Adobe Analytics (formerly SiteCatalyst) – and partially also in Google Analytics.