Louvr Performance was built to solve a real problem — too much data, not enough clarity on what to actually do with it. Every recommendation the platform makes is based on how we manage Meta Ads for VALO Gallery and NeoEssentials. If it wouldn't work there, it's not in the product.
Get early access →Louvr Performance started as an internal tool. We were running Meta Ads for VALO Gallery — a print shop selling hand-illustrated F1 posters — and spending too much time each Monday trying to figure out what to change and what to leave alone.
The problem wasn't access to data. Ads Manager has plenty of data. The problem was the gap between data and decision. We had numbers. We didn't have clarity on what those numbers meant we should do.
So we built a system that pulls campaign data automatically, sends it to Claude AI for analysis, and produces a structured report with three concrete actions. Every Monday at 9am, before the week starts.
The system worked well enough that we opened it to other brands. Louvr Performance is that system, productized.
There are enough tools that show you data. We built something that tells you what to do with it. Every output from Louvr Performance is designed to be acted on, not filed.
Nothing goes into the product unless it works on our own campaigns first. We spend real money on Meta Ads. The recommendations are based on what actually moves performance, not theory.
A tool you have to think about how to use is a tool you stop using. Louvr Performance takes under 30 minutes per week. That's by design, not an accident.
No proprietary algorithms. No black boxes. Louvr Performance connects Meta's official API to Claude AI through a Make.com automation layer. Every piece of the stack is transparent, auditable, and built on infrastructure that's been running in production since early 2025.