Category: Analytics

Retention Analysis in Adobe Analytics – Part 1: Cohort Tables and Builtin Functionality

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 […]

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 […]

Advanced Time Series Analysis through Linear Regression – Statistics in Adobe Analytics

Previously in this little series, we took a look at how we can describe our trended data by using the statistical Mean and Standard Deviation. While this works quite well for data that doesn’t change much over time, it is rather limited in regards to take trends into account. With this post, we are doing […]

Simple Time Series Analysis through Standard Deviation – Statistics in Adobe Analytics

In my last post, we took a look at how Descriptive Statistical Analysis can help us understand our site performance using the simple Mean. I introduced the concept of conditional counters to help us identify our top- and bottom-performing sites. Today we are going to extend our knowledge of descriptive statistical methods by using Standard […]

Simple Mean and Conditional Counters – Statistics in Adobe Analytics

In my last post, we took a look at how we can predict the future through Regression Analysis with Adobe Analytics and visualize it in Analysis Workspace. While that was a quite advanced post, there are a lot of things we can do using basic statistical analysis. This is what we are going to look […]

Predictive Regression Analysis – Statistics in Adobe Analytics

Adobe Analytics is awesome for analyzing historical data. Besides Segments, Drilldowns or Derived Metrics, it also offers some advanced statistical functions like Regression Analysis. Here are some examples for the different regression models that are available today: It would be really cool if we could use this functionality to predict the future with some regressive […]

Supercharge your Adobe Analytics Classifications with Google Sheets and Automation

Classifications are one of the best features of Adobe Analytics. They allow to enrich and translate tracked values by uploading classification files. One of the most common use cases is handling marketing campaign tracking codes, which can be translated from technical ids to understandable details about the campaign. This can be automated to a great […]

Adobe Analytics Introduction: Terms and Concepts

This is one of several post aiming to give an introduction into Adobe Analytics. They are intended as both tutorials and references for future use. While there already are a lot of good sources for this, some are quite dated and miss connections to recently released features and enhancements. In this post, I will explain […]

Integrating Adobe Target and Adobe Analytics into Voice Assistants

With digital experiences on the rise, interactive Voice Assistants like Amazon Alexa, Google Home or Apple’s Siri are still gaining popularity. Companies now need to meet their customers expectations and allow them to interact with their brand however they like. Those new possibilities require a clear strategy to avoid wasting time and resources on products […]

Generating more business value with the Adobe Analytics dashboards App

The Adobe Analytics dashboards App has been out for some days now. It has been one of the most demanded features among Analytics users for years. Personally, I had to disappoint my business users for quite some time whenever they asked for an App. So naturally, I was quite happy when it finally came out. […]

Trying out the new Adobe Analytics App

Adobe Analytics still is the most complete solution for Digital Analytics. But for years, there has been one thing missing: A mature way to use dashboards on the go, without using your computer. While Analytics is usable on mobile browsers on a technical level, it is not the best user experience for both Analysts and […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 7: Analytics Dashboard

This is the seventh part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are building an Analytics Dashboard in Kibana for our data in Elasticsearch. In the previous post we build the connection from Kafka to Elasticsearch and Clickhouse to store the data. If you […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 6: Data Storage

This is the sixth part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are taking a brief look on what we can do with the data we collected and processed with Clickhouse. In the previous post we built a persisted visitor profile for our visitors […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 5: Visitor Profile

This is the fifth part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are going to build a visitor profile to persist some of the data we track with Python and Redis. In the last post we processed the raw data using Python and wrote […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 4: Data Processing

This is the fourth part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are building the processing layer to work with our raw log lines. In the last post we used Nginx and Filebeat to write our tracking events to Kafka. If you are new […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 3: Data Collection

This is the third part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are setting up the tracking backend with Nginx and Filebeat. In the last post we took care of the client side implementation of Snowplow Analytics. If you are new to this series […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 2: Client Tracking

This is the second part of a seven-part-series explaining how to build an Enterprise Grade OpenSource Web Analytics System. In this post we are setting up the Client Tracking using the Javascript tracker from Snowplow Analytics. In the last post we took a look at the system architecture that we are going to build. If […]

Building an Enterprise Grade OpenSource Web Analytics System – Part 1: Architecture

Some time ago I wrote a litte series on how to amp up your log analytics activities. Ever since then I wanted to start another project building a fully fledged Analytics system with client side tracking and unlimited scalability out of OpenSource components. This is what this series is about, since I had some time […]

Creating more Business Value with Product Driven Analytics

When working in Analytics, it’s easy to view all the requests you receive as disconnected, one-off events. This is the traditional approach for Analytics departments, where Requests would be collected, prioritized and answered accordingly. But there are some issues with this way of handling things: It’s hard to see the bigger picture behind those business […]

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