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Using utm_nooverride in Universal Analytics

Author image Using utm_nooverride in Universal Analytics

Since the upgrade from classic analytics to universal analytics there is one functionality that's been missing; the option to not override the previous source in Google Analytics. For most of the traffic this is ok, but when looking at service emails like password resets, you don't want them to steal conversions away from the original sources. With the utm_nooverride »

The current state of app analytics

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Somehow, analytics and tag management for apps seem to stay behind compared to the options we have for websites. And I haven't really seen this change over the past few years. To give you an example: during the unconference day of Measurecamp 2017 in Amsterdam, zero talks were about apps. This is why I'm focussing on app analytics and tag »

Every tag manager setup needs a general blocking rule

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A tag manager allows you to disconnect your marketing tags from your website. It puts the control of these tags in the hands of the people who use them: marketers. It also disconnects all the tags from your developers. This is good for flexibility, but not quite as good for developers as they lose control of the scripts that run »

The history and future of ad viewability tech

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Viewability and its companion exposure time are becoming more and more default metrics and measurements for online media campaigns. But ever since, I've heard quite some times that the measurement of viewability is a real pain in the ass, and a pain in the ass for multiple reasons. Sometimes it was about the high CPM - 12c CPM is no »

How to optimise for better customer journey data

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When we think about conversion rate optimisation, the goal is often to improve conversion on your website. But what about improving data collection? In the ever growing complexity of data collection in a multi-device world, I think it is time for tests that focus on data collection (and data-first UX). We need it to truly understand the user. Device-first is »

Improving the consistency of your projects with virtual environments in Anaconda

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Virtual environments in python are very useful for managing different projects and especially when multiple people have to work on them. It is also useful for using packages which are not entirely supported on every version of python. Personally I needed a virtual environment when using Tensorflow. Tensorflow was not available on Python version 3.6 and hence I needed »