The Compounding Loop — The BFarm Methodology for Amazon Growth
The BFarm methodology is a five-stage process: diagnose the account from authorized source data, prioritize by impact and risk, document an approved change batch, read results using the relevant attribution and measurement window, and scale only when the account evidence supports it.
Summary
BFarm methodology separates diagnosis, prioritization, written recommendations, client approval, execution, and measurement. Work uses seller-authorized Amazon reports or client-provided materials, records source periods and assumptions, keeps each client isolated, and does not rely on external services that sell Amazon-derived data.
This page explains how BFarm reviews account evidence, prioritizes work by stated impact and risk, and measures an approved change before the next decision.
Use it alongside Academy guides, services, portfolio proof, and the audit flow when you need a practical route from diagnosis to execution.
- Review the current evidence
- Prioritize by stated impact, dependency, and risk
- Obtain the required client approval
- Evaluate the documented measurement window