The Content Strategy Knowledge Base aims to support practitioners, students and teachers of content strategy.
Great campaigns don’t invent new stories. They borrow one of seven. Attention is getting harder to earn. People scroll, skip and move on. And yet, some stories still cut through. Most stories that grab people are built on a small number of patterns that go back thousands of years.
Web analytics is often treated as a single activity, but it is really a progression. This article climbs the ladder through its three stages: descriptive (what happened?), predictive (what will happen?) and prescriptive (what should we do?), plus the short causal step that turns reporting into insight. Each is grounded in a concrete GA4 feature.
Content teams are under pressure to publish more and faster, but volume alone doesn't equate to impact. This article makes the case for establishing clear communication foundations before optimizing production, and explains why effectiveness must always come before efficiency.
This is a review of the book “The New Writing Environment: Writers at Work in a World of Technology” (1996), edited by Mike Sharples and Thea van der Geest. The review makes the argument that this book’s old age is exactly what makes it valuable. Reading this article, you will find how The New Writing Environment plays the role of a mirror of our present human condition in the age of hypertext.
Brands that treat every piece of content as part of one ongoing story outperform those still relying on one-off campaigns. This review breaks down Carlijn Postma's Binge Marketing framework and shows why thinking like a showrunner matters for content strategists today.
Data-driven storytelling combines research, audience insights, and creativity to create content that feels authentic and relevant. By using data as a creative tool rather than a limitation, content strategists can develop meaningful campaigns, validate bold ideas, and stand out in a world increasingly flooded with generic AI-generated content.
AI is reshaping content production at unprecedented speed, but speed alone does not equal quality. This article examines where AI genuinely strengthens content strategy, where it falls short on depth and trust, and why the human-in-the-loop is non-negotiable for any team that wants to lead - not just react to - the AI revolution.
This lecture report examines the importance of data security through real-world examples of cyberattacks, data breaches, and historical misuse of personal data. It reflects on how these lessons apply to content strategy and why digital professionals must consider data protection when designing content systems and user experiences.
Modern customer journeys rarely follow a straight line. As people move fluidly across channels and revisit information, traditional funnel models like AIDA show their limits. This article explores why intent‑based frameworks such as See‑Think‑Do‑Care offer a more accurate way to understand and guide contemporary consumer behaviour.
This article explores the extent to which content strategy maturity models can serve as strategic steering tools and under what conditions they reach their conceptual and organizational limits.
The digital landscape is shifting from a "search engine" model based on clicking blue links to an "answer engine" economy where AI provides direct, synthesized information. To thrive, businesses must pivot from traditional SEO to Generative Engine Optimization (GEO), prioritizing expert authority and citable data to ensure their brand is referenced by AI assistants.
While a content strategy project typically starts with a content inventory to answer the question of what content already exists, that’s rarely enough to understand the complexity of an organization's content creation. This is where content ecosystem maps can help.
