Michel Lieben 🧠 Details Claude Code’s Impact on Ad Spend Management

In a recent LinkedIn post, Michel Lieben 🧠 discusses how his team is leveraging Claude Code to manage significant advertising spend, highlighting specific skills that have reportedly doubled their output without compromising quality.

Michel Lieben 🧠’s post details a suite of custom-built tools designed to automate and enhance various aspects of digital advertising campaigns. These tools, developed by Ivan Falco, Head of Growth at Michel Lieben 🧠’s organization, are a result of over 300 hours spent running ad campaigns that have generated a reported 4X ROAS on more than $1 million in ad spend.

“We manage > $300k/mo in ad spend via Claude Code. These Skills 2x’d our output without sacrificing quality.”

The core of the innovation lies in using Claude Code, an AI platform, to execute complex tasks directly from the terminal. This approach, as Michel Lieben 🧠 outlines, enables a range of functionalities that streamline ad management.

Automating Key Advertising Tasks

Michel Lieben 🧠 breaks down the capabilities into platform-specific applications. For Google Ads, the skills include tools for keyword analysis, negative keyword identification, performance auditing, and search term analysis to optimize spend and identify conversion-driving queries.

According to Michel Lieben 🧠, the Meta Ads functionalities are equally robust, featuring an audience builder for CRM list conversion, a creative fatigue analyzer to detect declining click-through rates, an oversaturation monitor, and a spend tracker for budget pacing.

“It’ll read the skills, plug into your ad platform, and execute.”

Further elaborating on LinkedIn Ads, Michel Lieben 🧠 points out the existence of an audience builder for large-scale targeting, a bid optimizer for bulk adjustments, a bulk editor for rapid campaign modifications, and a creative builder for generating ad assets from brand specifications.

The ‘Claude Code for Ads’ Offering

Michel Lieben 🧠 invites interested parties to comment “Claude Code for Ads” on his original post to receive the full skills repository. This suggests a willingness to share the developed automation tools with the wider marketing community.

“These: execute bulk edits across platforms, upload custom audiences, detect creative fatigue, generate reports. – tweak bids – flag issues …all from the terminal.”

The post also mentions a supplementary one-hour video showcasing a complete ad campaign buildout using Claude Code, which Michel Lieben 🧠 is also offering to share. This emphasis on practical demonstration underscores the team’s confidence in the efficacy of their automated approach.

Driving Efficiency and ROAS

The underlying argument presented by Michel Lieben 🧠 is that by automating repetitive and time-consuming tasks, ad campaign managers can significantly increase their output and potentially improve campaign performance. The reported 2X output increase and substantial ROAS figures suggest a tangible benefit to integrating such AI-driven tools into ad management workflows.

“The kind of campaigns that provide > 4X ROAS on > $1M spent”

Michel Lieben 🧠’s detailed breakdown and offer to share resources position this initiative as a practical exploration of how AI can be leveraged to enhance the efficiency and effectiveness of digital advertising operations, particularly for high-volume spenders.