# Laurence

> The autonomous growth platform for Amazon brands, engineered to maximize profits after margin and ad spend. Built by engineers, quants, and researchers from Google, Meta, and top quantitative hedge funds. Laurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.

## Product

- [Methodology](https://www.laurence.com/methodology): How Laurence prices every click, conversion rates statistically modeled per search term and placement, grounded in each product's true margins.
- [Autonomously run ads](https://www.laurence.com/ads): Campaigns that run themselves: you provide COGS and goals, Laurence calculates margins, reprices every keyword hourly, and manages budgets, discovery, and brand defense.
- [Brand intelligence](https://www.laurence.com/intelligence): The whole Amazon business explained, questions answered in plain English, campaigns and keywords made legible, consistent reporting.

## Blog

- [Branded vs non-branded on Amazon: what the split actually costs](https://www.laurence.com/blog/branded-vs-non-branded-amazon-ads) (2026-09-04, by Lucas Galioğlu): Branded clicks cost 29% less, convert 1.9x better, and run at a third of the ACoS of non-branded. That gap is why a single blanket ACoS target quietly moves budget onto your own brand name.
- [Laurence raises $5.8 million to automate performance marketing](https://www.laurence.com/blog/laurence-seed-fundraise) (2026-06-03, by Matthew Chen): Seed round led by Susa Ventures and Box Group, with participation from Y Combinator and more.
- [Ask Laurence is now available: schedulable, multiplayer conversations grounded in your Amazon Ads and Seller Central data](https://www.laurence.com/blog/ask-laurence-launch) (2026-04-23, by Justin Xiang): Ask Laurence is now generally available on the Laurence platform. Every answer is grounded in the live Amazon Advertising and Seller Central data Laurence already manages for your account (the same tables that power your daily report and your bidding pipeline) plus multiplayer threads, parallel streams, image uploads, and scheduled Automations.
- [Our knowledge flywheel: how Laurence remembers and learns from every campaign decision](https://www.laurence.com/blog/laurence-knowledge-flywheel) (2026-04-17, by Justin Xiang): An Obsidian wiki, a Claude Code ingest agent, and a daily diagnosis pipeline that reads the wiki every morning. How we built an internal compounding knowledge layer so Laurence gets smarter with every campaign change.
- [Laurence MCP: Amazon Ads data in Claude Code, Cursor, and Codex](https://www.laurence.com/blog/laurence-mcp-launch) (2026-04-16, by Justin Xiang): Bring your Amazon Ads data into Claude Code, Cursor, or Codex. Ask natural-language questions, pull campaigns and metrics, and reason over bids and search terms.

## Team

- [Team](https://www.laurence.com/about): Engineers from Google, Meta, and Jump Trading; founders Matthew Chen (CEO) and Leo Gierhake (CTO).

## Reference

- [Sitemap](https://www.laurence.com/sitemap.xml): Machine-readable URL inventory with per-URL lastmod and priority.