In our last article, we made the strategic case for connecting n8n and BigQuery. We talked about the "why": creating a single source of truth and building a foundation for true marketing intelligence. Now, it's time to build the bridge between them. This tutorial is a
As marketers, we are surrounded by data. It pours in from Google Analytics, our advertising platforms, our CRM, and a dozen other sources. The modern solution is to centralize it all in a data warehouse like Google BigQuery. This gives you a single source of truth, a complete historical record
Generic AI tools like ChatGPT can easily write error-free articles, but they often struggle to create high-quality, engaging content. They miss the necessary context, leaving you with a draft that feels dry, generic, and difficult for your audience to read smoothly. They lack a deep understanding of your existing articles,
In our previous article, we covered the "what" and "why" of Retrieval-Augmented Generation (RAG). Now, it's time to get practical and build one. This is part 1 of our hands-on series, focused on building a knowledge base your AI agents can utilise. The goal
Imagine you've just hired the most brilliant, creative, and experienced marketing strategist. They have an encyclopaedic knowledge of market trends, copywriting techniques, and strategic frameworks. There's just one problem: on their first day, they know absolutely nothing about your business. They haven't read your
If you want to build powerful marketing automations, you need to speak the language of n8n. The vocabulary of that language is built from nodes. Each node is a building block that performs a specific action, and learning to combine them is how you become fluent in automation. N8n has
The term "prompt engineering" gets thrown around a lot, often reduced to simple conversational tricks. But in a professional automation context, it's a serious skill. It is the process of building instructions for a machine by structuring commands, guiding critical context, controlling tool usage, and setting
The real power of marketing automation starts with integration. Still, most marketing stacks operate in silos. This doesn't only slow your team down with repetitive manual work, but also prevents you from connecting the dots to uncover insights that drive growth. Luckily, n8n is built to be the
Let's redefine what an AI Agent means for marketers. We're not building sci-fi assistants; we're engineering practical, automated systems for specific tasks. With n8n, an AI Agent isn't a fantasy; it's a powerful workflow you can build today. It'
The foundational problem for most marketing teams is a disconnected technology stack. Your CRM, analytics, and ad platforms often operate as independent silos, which forces your team to burn hours on manual analysis, reporting and optimization tasks. While ChatGPT can help with individual tasks, it often works without critical context.
This guide is your user manual for the n8n interface so you can start building right away. Learning the basics is the foundation for AI-driven marketing automation. We'll break down the n8n interface into its essential building blocks: workflows, nodes, triggers, and credentials. Mastering these concepts is the
Mondays always used to start painfully. It involved at least three hours of manually pulling performance data from Google Ads, Facebook Ads, and our backend, to write weekly reports to C-level. A very repetitive and draining task. Sound familiar? That all changed when we started using n8n. Now we'