With privacy protection on the rise, the stability of client-side cookie is in jeopardy. The life-time of Google Analytics‘ client id cookie ranges from a day in the most strict scenario to two full years in the best possible scenario. Because of this, you may want to setup a test where you track users based on a HttpOnly cookie. In »
The user deletion API for Google Analytics allows you to delete user data. In this post, I’ll share a brief introduction on what the API allows you to do and how you can use the API in Python. How it worksThe official documentation describes the API as follows: The Google Analytics User Deletion API allows customers to process deletions »
You might have missed it. You might not have missed it. But Google has shared their plans to unify app and web tracking. It does look like a good new direction for the product. If you like to read more about the details of the new release, I recommend reading Krista Seiden's post. What I would like to focus on »
It is easier than ever to automate your processes. Vendors provide well-documented APIs. Cloud solutions like Amazon Web Services and the Google Cloud Platform make it a breeze to upload a project to the cloud and run it at an interval of choice. But what I have often seen happening with new technologies also applies here: making it work is »
When you have multiple people working on a website, you don’t want their visits polluting your Google Analytics (GA) data. There are many ways to combat this, like IP filters and extension based solutions, but none of them are foolproof. The following solution isn’t the unicorn you’re looking for as well but will work nicely together with »