Overview

Product research is the foundation of any thriving Amazon store, and a repeatable, data‑driven workflow can turn a vague idea into a profitable launch in days rather than weeks. By focusing on three pillars—buyer demand, competitive pressure, and margin potential—sellers can filter out dead‑end concepts before spending money on inventory or advertising. Mastering this streamlined method is essential for anyone who wants to scale reliably on the platform.

Key Points

• Demand validation — Use keyword research tools to surface search terms that generate at least a few hundred monthly searches, confirming that real shoppers are looking for the product.
• Competitive gap — Target listings that have fewer than 100 reviews and no recognizable brand dominance, which signals an opening for a newcomer to capture market share.
• Margin threshold — Require a minimum 30 % profit after accounting for product cost, Amazon fees, shipping, and a modest ad budget, ensuring each unit contributes to sustainable growth.
• Data‑driven shortlist — Combine demand scores, competition ratings, and margin calculations into a concise list of three to five candidates, allowing focused testing instead of scattering resources.
• Rapid validation — Move the top‑ranked items into a small‑batch test order and a limited‑run listing to confirm real‑world sales velocity before committing to larger inventory.
• Iterative refinement — Re‑run the workflow weekly, swapping out underperforming ideas for fresh candidates, so the pipeline stays fresh and aligned with market shifts.

How the Simple Product Research Strategy Works

1. Create a seed keyword pool — Begin with a broad category such as “kitchen organizers” and run it through a keyword tool to pull related terms that each show at least 300 monthly searches; for example, “spice rack insert” and “drawer dividers” appear alongside the seed phrase.
2. Measure demand consistency — Look at each term’s search volume over the past 12 months, favoring keywords that stay flat or grow slowly rather than those that spike only during holidays; “drawer dividers” maintains a steady 1,200‑search average each month, indicating reliable buyer interest.