My roundup of recent analytics news and ideas. I mostly work in the Google analytics stack and I’m a little bit obsessed with the intersection of AI and analytics.
A few days ago, I set up the Google Analytics MCP Server on my computer and connected to it in a Claude Project. If you are not familiar with MCP, it is a protocol for connecting a language model to an external system. In addition to enabling the transfer of data or instructions, an MCP server also tells the language model what its capabilities are. So, with Google Analytics MCP server installed, I can converse with Google Analytics via Claude. Holy shit.
I then put together project instructions for Claude, providing a framework for my conversations. I describe the whole process here, but the TL;DR version is that it took me a minute or two to generate a detailed analysis of a Google Analytics property, and there were insights in there that were, in fact, insightful!
My plan is to use this framework to bulk-generate insights, then curate what is most interesting and useful, and work with Claude on further exploration. When budget allows, this will lead to deeper analysis in BigQuery, jupyter, etc., but in many cases we will be able to provide valuable insights at little cost to ourselves and our clients.
I’ve read a lot recently about why the judgement and experience of human analysts is irreplaceable, and I agree, but it’s pretty clear that my little experiment is a harbinger of capabilities that every marketing stakeholder will have at their fingertips a few short months from now.
I include updates here that I deem significant. For a complete list of recent GA and Looker Studio updates, see Google Analytics Release Notes and Looker Studio release notes.
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Nico loves marketing analytics, running, and analytics about running. He's Two Octobers' Head of Analytics, and loves teaching. Learn more about Nico or read more blogs he has written.
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