Product Research at Goodcommerce
Decision-ready market research for private-label launches on Amazon.de.
E-Commerce Product Research Specialist (Freelance) · Goodcommerce GmbH
Client SKUs and deliverables are confidential — this page describes the methodology, not the products.
0+
competitors analyzed
~40%
price undercut identified
0%
margin floor validated
0
artifacts per SKU
The problem
Launching a private-label product on Amazon.de is a capital decision made under uncertainty. Get the demand read wrong, the margin math wrong, or the IP clearance wrong, and the cost lands months later in unsold inventory or a takedown notice. The founder needed decision-ready evidence, not vibes.
The research pipeline
Every SKU moves through the same pipeline and exits as a pursue/pass recommendation with the evidence attached.
What each SKU gets
Market overview
Competitor and demand analysis across 40+ Amazon.de and D2C listings using Helium 10 — pricing gaps, review positioning, demand signals. One analysis identified room to undercut the category leader by ~40%.
Profitability model
Margin modeling that includes VAT (reverse-charge), FBA and referral fees, landed cost, and freight — validated against a 30% margin floor with price-sensitivity scenarios.
IP & design clearance
Patent, registered-design, and trademark sweeps across EU/DE jurisdictions, delivered as written clearance records with design guardrails and a residual-risk assessment.
Supplier spec sheet
Supplier-ready technical specifications — dimensions, materials, finishes, and compliance requirements (REACH/nickel) — from sourcing and evaluating overseas manufacturers.
How it runs
Recommendations go directly to the founder with clear pursue/pass rationale. Handoffs, status, and weekly check-ins run through Asana and Slack; time tracking and monthly invoicing are fully auditable. The quality bar is written into the SOPs: accurate, complete, verifiable.