How to Build an AI Reporting Workflow with Claude and Coupler.io
Key Takeaway
The value of AI reporting doesn't come from simply giving marketing data to an LLM. The real advantage comes from combining structured, current performance data with the expertise needed to ask the right questions, interpret the results, and turn those insights into action.
Why I Built This AI Reporting Workflow
I've spent about 15 years in performance marketing, working across agencies, in-house teams, and as a consultant. My focus has primarily been B2B performance marketing across Meta, Google, and LinkedIn.
I started experimenting with Claude and other large language models to improve how I analyze marketing data. The goal wasn't just to make reporting faster. I wanted a better way to investigate performance, identify patterns, and use AI as an extension of the expertise I'd already built.
How Coupler.io Connects Marketing Data to Claude
The biggest unlock came when I found Coupler.io . Coupler.io makes it possible to connect marketing data sources into a structured workflow that Claude can work with, creating a much more direct way to analyze performance data with AI.
Instead of only asking an LLM to summarize information I've already reviewed, I can use Claude to dig deeper into the underlying data, investigate performance changes, identify patterns, and help communicate what's actually happening.
Why Performance Marketing Expertise Still Matters With AI
The real advantage isn't the LLM by itself. It's the combination of domain expertise, structured marketing data, and the analytical capabilities of an LLM.
I think of the workflow as a second brain. AI can work through large amounts of data and surface potential insights, while performance marketing experience provides the context needed to know which questions to ask, which signals matter, and what actions should come next.
What You'll Learn in This Course
This course walks through the AI reporting workflow I use, from the overall data architecture to the actual implementation. You'll see how the different pieces connect, how marketing data is structured and moved into the workflow, and how Claude is configured to support reporting and analysis.
The goal is to give you a practical framework you can use to build your own AI-powered marketing reporting workflow rather than simply relying on one-off prompts or manual data exports.
Tools Used in This AI Reporting Workflow
Coupler.io — used to connect and move marketing data into the reporting workflow. View Coupler.io pricing .
Claude — used to analyze the data, investigate performance, identify patterns, and generate reporting outputs.
Disclosure: Some links on this page are affiliate links, which means I may earn a commission if you sign up through them at no additional cost to you.
