Click Path & Analytics Analysis
Click Path & Analytics Analysis in Detail
Behavioral data instead of gut feeling: I use existing analytics data to cleanly localize abandonment points in the system.
Isolate Real Abandonment Paths
Instead of evaluating the entire website generically, I focus on highly demanded key flows (e.g., the checkout of top sellers or central B2B workflows).
Pragmatic Inventory
In a first joint meeting, we review your existing tracking data. If these are insufficient, no generic analysis is started on a faulty basis.
Lean Tracking via Umami & Pikapod
If necessary, we rely on a lightweight JavaScript snippet via Umami. This ensures maximum performance, GDPR compliance, and zero license costs.
Validation of the Target Group
If analytics data and user feedback drift far apart, recruitment is adjusted to precisely reach the users with the real problems.
FAQ: Click Path & Analytics Analysis
Do we have to collect new data for months before you can start the analysis?
No. In an initial meeting, we review your existing web analytics data together. If these are sufficiently meaningful, we can start immediately. If the data is incomplete or incorrect, I will not conduct an analysis on a false basis.
Does click path analysis work for systems with very little traffic or niche B2B tools?
There is no generic minimum number of users. For highly specialized B2B applications, even small samples (from about 10 active users) are often enough to recognize recurring behavioral patterns and bottlenecks in user flows.
Which tools are used for tracking, and does this incur license costs?
For tracking, I rely on lean, privacy-friendly open-source solutions like Umami (hosted via Pikapod). There are no license fees for you. Pure server costs scale fairly with your actual data volume.
Do our developers have to implement elaborate tracking events or SDKs in the code?
No, the technical effort for your dev team is minimal. For capture, it is sufficient to embed a lightweight JavaScript snippet once. The collection of direct usability data (such as SUS or VisAWI) runs completely independently of your source code.
How do you proceed when analytics data and user statements contradict each other?
If usage data and feedback drift far apart, that is a clear indication that the wrong target group was interviewed. In this case, we adjust the screener profile to specifically reach the users who actually encounter the barriers in everyday life.
Is the analytics analysis GDPR-compliant and usable in protected B2B areas?
Yes, 100%. The tools used work without tracking cookies and do not aggregate any personal data or IP addresses. This allows the analysis to be used effortlessly behind login barriers, paywalls, or corporate firewalls.
Used In
This tool is part of the following consulting offer.