In Series #7 of AI Marketing Blueprints, we discuss AI adoption through three stages—assisted exploration, integrated automation, and autonomous innovation—each requiring aligned tech and organizational shifts to power business-first, AI-enabled growth.

In Series #6 of AI Marketing Blueprints, we provides a framework to categorize use cases, measure their impact, and prioritize them using an impact-feasibility matrix—ensuring both immediate wins and long-term scalability.

In Series #5 of AI Marketing Blueprints, we introduce a framework for contextualizing analytics and business steering, using a real-life example. We break down the key building blocks needed to enable it, providing a clear, actionable approach.

At know.haus, we put AI into action. Our mission is to create a series of AI Marketing Blueprints based on real-world implementations. These blueprints are levers and enablers designed to boost growth and productivity.

In series #2 of the AI Marketing Blueprints, we explore essential prompting patterns for marketing tasks and evaluate the performance of leading LLM models through qualitative human preference testing.

We talk about MarTech in series #3 of the AI marketing blueprints. I've come to believe that it’s not build vs. buy — it’s about build AND buy. In this post, we will discuss current status quo, common challenges, resolutions and recommendations, and Future trends with AI. We aim to provide pragmatic advices to manage build and buy strategies.

The product detail page (PDP) is the backbone of eCommerce success. In the blueprint series #4, we’ll explore why PDPs matter, the key components of high-performing pages, best practices from top marketplaces, and a 12-step AI-driven workflow to generate them effectively.