User Retention is crucial to any digital offering. If you optimize your offering to a point where users come back on their own, you can not only save on marketing cost but also engage your existing users more. This makes retention analysis a prime example for how digital analytics can provide tangible business value. In this post, we are going to take a look at how we can analyze user retention with the most advanced digital analytics tool, Adobe Analytics. We are going to start in this post with the builtin analytics dimensions and metrics, then take a look at cohort tables, and in the next post even build our own Segments and Calculated Metrics to help us understand retention. Let’s get started! Builtin Retention Metrics and Dimension To start things off, we will take a quick look at what Adobe Analytics has to offer out-of-the-box to help us understand […]
Month: August 2020
Call for contributions! Introducing the Open Adobe Analytics Component Repository
Over the last few months I created quite a lot of Calculated Metrics and Segments for this blog. While the feedback has been great, it became more and more difficult, for me and others, to keep up with all the different metrics and where exactly I used them. I’ve been using a privat Github repository to keep track of everything I create which I now make available to the public. I will put all the metrics and segments I have already created on there as I migrate them from my private repo. The same will be true for future posts on my own blog. My hope is that this will help me stay on top of all those components and maybe help somebody else to find them more quickly. But since I host it on Github, why not make this a collaborative effort? Share your work and earn kudos From […]
Time Series Analysis through Moving Averages – Statistics in Adobe Analytics
In what has become one of the most read series on this blog I am showing some examples of what Adobe Analytics has to offer in regards to statistical analysis. In the previous posts we took a look at simple averages and standard deviations, regression analysis and even forecasting. In this post we are going to use a variation of the simple mean called moving average. When dealing with time series data we might encounter what is called “noisy data”. Instead of showing as a steady line our KPIs might go up and down from day to day, making it hard for us to judge where the general trend is headed. One way of solving this is through the regression modeling we did before, which gives us a straight approximation line. But what we can also do is average the data for a defined window along our series, which is […]
Summary Report Suites in Adobe Analytics
Ever since Adobe released Analysis Workspace in 2016, customers were looking for a way to combine data from multiple Report Suites within a single Project in Analysis Workspace. Earlier in 2020 we were finally able to pull data from more than one Report Suite in Workspace, since Report Suites could now be selected on a Panel level instead of for the whole project. While this feature is awesome and a huge improvement, users like myself still wanted to combine multiple Report Suites in only one Freeform Table within the same Panel. Unfortunately, we still have to invest some work to get a view like this, where the right Table combines data from the two Report Suites on the left: The screenshot above was taken from a Report Suite which was created to summarize data from other Report Suites. This can be done without any changes to the implementation or additional […]