In a recent LinkedIn post, Yonathan Cohen explores a novel method for uncovering competitor advertising strategies, leveraging an automated agent to analyze Meta’s Ad Library. Cohen details how this agent functions as a powerful tool for businesses seeking to understand what resonates with audiences and drives profitable ad campaigns.
The core of Cohen’s insight lies in the idea that prolonged ad performance is a strong indicator of financial success. He highlights how an agent can meticulously track competitor advertisements, identifying those that have been consistently running, suggesting they are financially viable. Cohen uses the example of the supplement brand AG1 and its competitors, Seed and Huel, to illustrate this point.
“Nobody pays 8 months for an ad that loses money.”
As Yonathan Cohen explains, the agent’s process begins by reading every active competitor ad. This involves utilizing Meta’s Ad Library, which provides public access to ad copy, formats, landing pages, and the duration each ad has been active. This readily available data, when analyzed systematically, can yield significant competitive intelligence.
The Agent’s Analytical Process
Cohen breaks down the agent’s weekly workflow into several key steps, emphasizing its efficiency compared to manual analysis.
Identifying Proven Winners
The first critical function of the agent is to flag proven winners. Cohen argues that an advertisement running for over 200 days is a strong signal that it is profitable. “an ad running 200+ days is an ad that prints money. No brand keeps paying for a loser,” he states, underscoring the financial validation behind long-running campaigns.
Mapping Competitive Angles
Furthermore, the agent maps the various angles competitors are using to capture attention. This includes analyzing their focus on price, social proof, pain points, or fear of missing out (FOMO). The agent tracks not only which angles are being used but also any shifts or changes in these strategies from week to week. This allows businesses to stay informed about the evolving messaging landscape.
Discovering Blind Spots
A significant benefit of this automated approach, according to Cohen, is its ability to find a business’s blind spots. The agent can identify competitive angles that rivals are successfully exploiting but that the user’s own marketing efforts may be neglecting. This is crucial for identifying untapped opportunities.
“the angles your competitors exploit that you don’t even touch.”
Streamlining Competitive Intelligence Delivery
The culmination of the agent’s work is its delivery of actionable insights. Cohen explains that the agent compiles this information and delivers it via Slack every Monday morning. This includes details on new and discontinued ads, identified winners with their exact copy, and suggested angles for testing in the coming week.
Cohen contrasts this with the manual effort required for a human to achieve similar results. “A human digging through the Ad Library would spend hours on this. The agent does it for you,” he emphasizes, highlighting the time-saving and efficiency gains.
“I built it on Twin. You describe the job, it builds the agent that does it weekly.”
Cohen concludes by introducing Twin, the platform he used to build this agent, positioning it as a solution for creating custom, job-specific agents that operate on a weekly basis. This offers businesses a way to automate complex analytical tasks and gain a consistent edge in their marketing efforts.
📝 About This Content
This article is based on insights shared by Yonathan Cohen on LinkedIn.
📅 Originally posted on July 28, 2026 | View original post on LinkedIn →