The meeting provided a comprehensive, step-by-step tutorial on Seller Amp, including initial setup, best practices for configuration, and an in-depth walkthrough of the tool’s features and analysis capabilities.
Key focus areas included maximizing deal analysis accuracy, exporting data to Google Sheets, reading relevant product and competition metrics, and understanding how to leverage historical charts for better sourcing decisions.
Seller Amp’s integration and configuration were explained to support Amazon sellers seeking to streamline and optimize their product sourcing and profitability assessments.
The presenter also promoted a 50% discount for first-time users and directed attendees to further training resources.
Action Items
(as needed – All users): Confirm correct setup of Seller Amp, including home marketplace and cost/ROI preferences.
(as needed – All users): Configure Google Sheets integration for deal exports and test with sample headers.
(optional – All users): Review and refine field mappings in Google Sheets export to match business tracking needs.
(as needed – All users): Practice reading and interpreting Keeper price/rank charts for better historical product analysis.
(as needed – All users): Consider watching recommended Keeper training videos for expert-level chart reading.
Seller Amp Initial Setup and Configuration
Select your home marketplace (e.g., Amazon.com or applicable region).
Input accurate shipping costs per pound based on warehouse/provider advice.
Use Amazon-optimized splits for shipping, and set FBA as the default selling method unless otherwise needed.
If applicable, configure VAT settings (default to “not registered” unless VAT applies).
Set target ranges for BSR (e.g., top 2%), minimum profit (e.g., $2), and ROI (e.g., 25%) to enable visual deal assessment via color coding.
Input accurate prep fees and any additional costs specific to your operations.
Create and activate user-specific profiles if managing multiple team members.
Google Sheets Integration and Export Settings
Enable the Google Sheets panel within Seller Amp settings to automate data entry for deals analyzed.
Connect to a new or existing Google Sheet, specifying sheet ID and tab preferences.
Map required fields for export (suggested: export date, product name/ASIN/category, cost price, sale price, source URL, ROI, break-even, sales rank, prep/inbound fees, barcode, Amazon URL, and profit).
Test export and header writing feature to ensure the sheet is ready for deal tracking.
Use export feature after analyzing a product so data is automatically saved and accessible for purchasing and review.
Key Seller Amp Features and Deal Analysis Process
Use the main Seller Amp window overlay to view product data, ratings, eligibility, and quick navigation tabs.
Verify eligibility to sell, check for alerts (hazmat, dangerous goods, private label, etc.), and ensure no critical red flags.
Assess estimated monthly sales, profit, ROI, and “max cost” for target margin at a glance.
Use in-tool calculator for discounts, price adjustments, and “what-if” scenarios.
Review competitor offers, stock levels, and fulfillment methods to assess listing competitiveness.
Use historical price/sales charts (Keeper integration) for insight into price stability, sales velocity, and seller count trends.
Reference the “ranks and prices” breakout table to quickly apply average or historical buy box prices to profit analysis.
Drill down into profit breakdown, including all fees and cost factors for accurate margin assessment.
Export results and log notes/URLs for sourcing history, including discount codes, supplier links, and relevant comments.
Step-by-Step Analysis Flow Example
Begin with a blank cost price, confirm eligibility and alert status.
Check the max cost versus sourcing price—adjust for discounts if available.
Enter the actual cost, validate profit/ROI, and compare sale price to both current and historical averages.
Review the number and quality of other sellers, Amazon presence, and their stock/review level.
Assess historical minimum pricing to simulate “worst-case” profitability.
If satisfied, document the supplier/source URL, save notes, and export to Google Sheets for tracking.
Decisions
Prioritize analysis using max cost and estimated sales/ROI before drilling into deeper metrics — Ensures efficient product sourcing and reduces time spent on non-viable listings.
Avoid listings where Amazon is a seller or sole/private label seller dominates — Decreases risk of low buy box share and uncompetitive sales velocity.
Open Questions / Follow-Ups
Are there additional recommended field mappings or custom columns for specific business models not covered in this session?
Should new Seller Amp users be assigned a checklist for initial setup and quality control to minimize errors?
Is there a preferred process for updating user profiles or sharing best practices among new team members?