
Seller Labs
Amazon seller software for review requests, PPC optimization, and profit analytics
About Seller Labs
Seller Labs is an Amazon seller software suite with three products: Feedback Genius for automated review and feedback requests, Ad Genius for Amazon PPC management, and Profit Genius for profitability, inventory, and data warehousing. It also offers an Amazon MCP server that lets Claude and ChatGPT query reconciled Seller Central and Ads data. Pricing scales with your monthly Amazon revenue, and sellers under $2K/month use it free.
Pros & Cons
Pros
- Free for sellers under $2K/month in revenue and for the first $30,000 in sales
- Revenue-based pricing keeps the entry cost low for small sellers ($19.99/month for review automation)
- Covers reviews, PPC, and profit analytics from one account, with a discounted bundle
- Data Hub pipes Amazon data into Sheets, Tableau, Power BI, and Looker Studio
- Amazon MCP server gives Claude or ChatGPT reconciled, SKU-level profit and ad data
- Long track record: Feedback Genius has run since 2013
Cons
- Amazon only; no Walmart, Shopify, or other marketplace support
- Costs rise steeply with revenue (the bundle reaches $999.99/month at $2.5M-$10M)
- Few recent independent user reviews on G2 or Capterra
- No published self-serve pricing for sellers above $10M in monthly revenue
- Older tools such as Scope keyword research are no longer part of the lineup
Key Features
Feedback Genius
Automated, Amazon-compliant buyer-seller messaging and review requests, with customizable templates, scheduling, and negative feedback monitoring.
Ad Genius
Amazon PPC software with campaign management, keyword filters, ACoS/TACoS tracking, scored ad recommendations, and an ad-scheduling heatmap. No ad spend limit.
Profit Genius
SKU-level profitability, inventory insights, and product and brand performance views without downloading Amazon reports.
Data Hub
A dedicated database of your Amazon sales, inventory, profit, and ad data that connects to Google Sheets, Tableau, Power BI, and Looker Studio.
Amazon MCP server
Connects Claude or ChatGPT to reconciled Seller Central and Ads data so you can ask questions in natural language and make campaign changes through AI.
AI Query Builder
Builds custom data queries over your Amazon data without writing SQL.
Two years of stored history
Stores up to two years of Amazon data from the day you connect, beyond Amazon's own report windows, with gaps and schema changes reconciled.
Free audits
Free advertising and inventory audits to find wasted ad spend and stock issues.
Pricing
- For sellers with $0-$2K monthly Amazon revenue
- Feedback Genius, Ad Genius, Profit Genius, or the Genius Bundle
- Free for your first $30,000 in Amazon sales while using Seller Labs
- $19.99/mo at $2K-$5K monthly revenue, up to $149.99/mo at $2.5M-$10M
- Automated review requests
- Product-specific review management
- Automated seller feedback
- 20% off with annual billing
- $29.99/mo at $2K-$5K monthly revenue, up to $549.99/mo at $2.5M-$10M
- Campaign management
- Ad suggestions ranked by importance and relevance
- Ad-scheduling heatmap
- No ad spend limit
- $39.99/mo at $2K-$5K monthly revenue, up to $699.99/mo at $2.5M-$10M
- Data Hub with Amazon data
- Profitability, inventory, and ad data
- Connect data to third-party apps
- $49.99/mo at $2K-$5K monthly revenue, up to $999.99/mo at $2.5M-$10M
- Feedback Genius, Ad Genius, and Profit Genius
- Amazon MCP included
- Save up to 44% versus buying separately
- 20% off with annual billing
Best For
Automating Amazon review requests
Small and mid-size sellers send compliant review and feedback requests on a schedule and watch for negative feedback.
Managing Amazon PPC
Brands use Ad Genius recommendations, keyword filters, and ACoS/TACoS tracking to cut wasted ad spend.
SKU-level profitability tracking
Sellers see real profit per SKU after fees, returns, and ad spend, and spot products that lose money.
AI analysis of Amazon data
Teams and agencies connect Claude or ChatGPT through the Amazon MCP server to ask questions about sales, ads, and inventory.
Feeding BI dashboards
Analysts pull Amazon data from Data Hub into Tableau, Power BI, Looker Studio, or Google Sheets.
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