The comparison between Piwik PRO and Matomo is often framed as a choice between open source and proprietary. That framing is misleading.
Long-form content about digital analytics, tips, tricks & tools from Google Analytics to Piwik PRO.
The comparison between Piwik PRO and Matomo is often framed as a choice between open source and proprietary. That framing is misleading.
GA4 and Matomo are built on different assumptions about what an event is, what it should represent, and how meaning is created in analytics data.
In this post, I explain what you should understand when migrating from GA4 to Matomo Analytics. This question has fundamentally changed over the past few years.
Most organisations do not suffer from a lack of data. They suffer from a lack of shared understanding about what their data actually represents, and how it should be used.
Our real enemy is not the lack of data but the chaos created by poorly structured, poorly governed or poorly interpreted data.
Behind every metric, there are real people. And between people and marketing, there is a structural conflict of interest.
Too many marketing teams spend more time fixing tracking than interpreting results. Insights and actions take a back seat.
CMOs and marketing agencies don’t only fear losing conversions. They fear losing their jobs. That fear shapes how digital marketing is done.
Raw data has become a status symbol in digital analytics circles. But for most teams, chasing raw data creates more complexity than clarity.
You’ve decided to take control of your analytics data—but now you face a critical decision: Cloud or on-premise?