Analytics and data always look great from the outside. Companies present at big conferences about the huge competitive advantages they have gained because of their data and analytics setup.
So, why is this not working for us? Why is the data we track not fully trustworthy, and no one has a proper idea of how we use it to make faster and better decisions?
In this book, I explain why collecting and tracking event data is complicated and getting insights from the data is even harder. And what you can do to make it easier and faster to use data for better decisions.
When you take the tracking and collection of data seriously, you will need to think about a lot of things. We cover them all.
Data helps us to build better products and services. But it is not easy to get it right.
Most setups with issues have a design issue and this design often includes too many but still not the essential events.
Learn how to analyze feature performance, user journeys, and value moments with the right events.
Interaction events are not important enough for an investor's report, but they are still essential for UX and product decisions.
Everyone server-side? Yes, and no. We cover the different scenarios.
Implementations are not perfect and you need to monitor them to make sure they are working as expected.
Tracking data is an ongoing process and you will need to change your setup over time. We cover the different scenarios.
Not everyone has to think about tracking data (thanks god). But maybe you are one of them.
"Whether you are starting from scratch or working with a 5-year-old tracking system, the course will guide you through a solid framework to approach your tracking design. I feel confident applying these principles in future companies or scenarios to create a business-oriented design with enough flexibility for product analytics."
"Timo ran two event storming and metric tree workshops with NEUGELB to look at our existing tracking structure and give ideas what we could do better. I really enjoyed how he looked at it from a product perspective, showcasing how understanding the product or the feature would actually define the metric and tracking approach. What made the real difference for me was that product managers were part of the workshops, giving us a shared language to speak about metrics and tracking."
Amplitude for E-commerce, Step by Step.
Watch Timo Dechau’s masterclass in setting up digital analytics to understand your customer journey and convert and retain more shoppers.
Over 8 years of data projects, I consistently encountered imperfect event data. Initially, I focused on fixing tracking code issues. However, I realized the root cause was poor design.
About 70% of tracking problems stem from flawed design. The key is to focus on events that truly represent your business and product, rather than collecting excessive, irrelevant data. This approach leads to quicker insights and smarter decision-making.
My old event tracking plans were overly detailed and missed key events. To fix this, I changed my approach:
Started with a broad business focus
Identified key product entities
Defined activities for these entities
This resulted in a streamlined tracking design that answers crucial business and product questions. This book guides you through this process, helping you build an effective tracking setup for meaningful insights.
User interactions in apps are crucial for design analysis. However, they shouldn't complicate the main tracking design. My approach:
Use a general formula like 'Element [action]' (e.g., clicked, viewed) Include context in properties (element type, position, icon, text, target)
The book covers handling interaction events and automating their tracking, enhancing your design analytics process.
A good event data design reduces implementation challenges by:
Minimizing the number of events to track
Offering flexible collection points (backend, databases, webhooks)
This approach decreases implementation issues. The book provides solutions for any remaining problems.
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