What makes a good report for you clients? Here's what to include and what to exclude.

Small agencies often face a chaotic and overwhelming surge of client demands at the start of each month, as producing recurring Google Analytics reports becomes increasingly manual and error-prone with a growing client list.

Tracking traffic from Large Language Models (LLMs) like ChatGPT, Google Gemini, and others has become increasingly important for webmasters and digital marketers

Model Context Processors (MCP) streamline AI workflows by efficiently managing data integration. Using FastMCP with Google Analytics simplifies API interactions, enhances automation, and improves maintainability. The provided Python example demonstrates how MCP extracts traffic data, optimizing AI-driven insights. MCP ensures structured, scalable, and reusable analytics solutions for businesses.

AI-native companies aren’t just using AI—they’re built on it. With LLMs and autonomous agents driving automation, they’re disrupting traditional SaaS and redefining business. But with great power comes risk. Will AI-native firms dominate the future, or are they heading for unseen challenges?

Dashboards have long been the go-to tool for data visualization, but in the era of AI, they are outdated.