Laurence
Laurence provides an automated Amazon PPC platform that uses advanced mathematics and real‑time statistical modeling to calculate profit‑maximizing bids for tens of thousands of keywords.
- Advertising Technology
- Artificial Intelligence
- Data & Analytics
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Amazon sellers often struggle with manually managing large-scale PPC campaigns, relying on simplistic rules or guesswork that lead to suboptimal bids, wasted spend, and missed profit opportunities.
Solution
Laurence offers an automated Amazon PPC platform that continuously applies advanced mathematical and statistical models to calculate profit‑maximizing bids for tens of thousands of keywords and product targets. The system updates bids hourly, adapting to real‑time performance data, seasonal trends, and marketplace changes without human intervention. An AI‑driven “Ask Laurence” reporting agent provides a complete, auditable log of every decision, delivering transparent, on‑demand insights. By optimizing bids to the cent and aligning them with true net margins rather than target ACOS, the platform improves ad spend efficiency and overall profitability for Amazon brands.
Target Audience
Laurence serves Amazon brand owners and agencies that manage medium to large catalogs and spend $20K + per month on Amazon advertising, seeking hands‑off, profit‑focused campaign management.
Features
- Real‑time, hourly bid optimization across Sponsored Products, Brands, and Display for 100K+ keywords
- Profit‑centric bidding calculations using hard math and statistical modeling, optimized to the cent
- Continuous conversion‑rate estimation and seasonal trend adaptation
- Full audit trail with explainable AI reporting agent (“Ask Laurence”) for on‑demand decision insights
- Automated keyword and product‑target discovery, creation, and management
- Dashboard with real‑time performance analytics and diagnostics