Server-side tracking and tag management provide a solid technical foundation for analytics, but they are not a silver bullet.
Tag: Business & analytics
Tag management is about building a system that works. It should be simple enough to understand, strong enough to trust, scalable enough to grow, and maintainable enough to change.
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.
Data minimisation is a core principle in privacy regulations, such as the GDPR. But it’s also just common sense.
Good documentation doesn’t slow things down. It keeps everything working. This post is for marketing and IT decision-makers, analytics product owners, and anyone responsible for making sure analytics delivers value.