Before you let AI analyse your marketing data, make sure the data is safe, necessary, and properly governed. Otherwise, you’re playing with fire.
Tag: Business & analytics
Finding fresh ideas for blog posts or content marketing can be a challenge. In this blog post, you’ll learn how to use data for creating new content ideas.
In this article, I consider ways to reduce compliance risks of healthcare digital analytics implementations. These should not be understood as legal advice or as a “what to do” list, rather as an introduction to topics to consider when tracking website visitors.
Server-side tracking and tag management provide a solid technical foundation for analytics, but they are not a silver bullet.
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.