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Reporting coverage

Amazon Vendor Central metrics & breakdowns

Keep marketplaces separate when comparing revenue. Customer returns counts returned units, not refund amounts. The sales report uses Amazon’s Manufacturing view for the Retail selling program.

Explore the metrics and breakdowns available through Adzviser's Amazon Vendor Central connector. Start with these examples or search the complete catalog.

Metrics

Ordered revenueOrdered unitsFeatured offer page viewsShipped COGSShipped revenueShipped units
Browse all 7 metrics
  • Ordered revenue
  • Ordered units
  • Shipped revenue
  • Shipped COGS
  • Shipped units
  • Customer returns
  • Featured offer page views

Breakdowns

Product titleMarketplace IDRelease dateASINMarketplace nameBrand code
Browse all 20 breakdowns
  • Marketplace ID
  • Marketplace name
  • ASIN
  • Product title
  • Brand code
  • Brand
  • Category
  • Subcategory
  • Parent ASIN
  • UPC
  • EAN
  • ISBN
  • Model number
  • Manufacturer code
  • Colour
  • Release date
  • Release datetime
  • Replenishment code
  • Seller ID
  • Account name
Amazon Vendor Central field reference

Setup

Connect Amazon Vendor Central MCP in three steps

1

Connect Amazon Vendor Central to Adzviser

Create a workspace. Select your Amazon Vendor Central marketplace and authorize Adzviser to access your vendor reports.

2

Connect Adzviser to your AI assistant

For Claude, choose Adzviser in the connector directory. For ChatGPT, add the Adzviser plugin. For another supported AI tool, use https://mcp.adzviser.com/http.

3

Ask your first question

Open Adzviser in your AI assistant and ask what you want to know about Amazon Vendor Central.

This connection is read-only. Your AI assistant can retrieve reports, but cannot make changes to the connected source account.

Quick connection check

List my connected Amazon Vendor Central marketplaces and show the Adzviser workspace for each. After I choose one, return "Ordered revenue" for the last 7 complete days.

Try a deeper analysis
Prioritize Product Page Reviews

Use Amazon Vendor Central data in the workspace I choose for the last 30 complete days to prioritize five product-page reviews. Consider featured-offer page views, ordered units, ordered revenue, and changes from the previous equal-length period. For each ASIN, explain why it deserves attention and what the team should inspect on the product page.

Prompt ideas

Amazon Vendor Central prompts to try

Browse all Amazon Vendor Central prompts →
01Reporting

Vendor Sales Summary

Summarize ordered and shipped sales by marketplace.

02Optimization

Prioritize Product Page Reviews

Use traffic and sales changes to focus merchandising work.

03Analysis

Find the Products Behind Revenue Changes

Identify which ASINs contributed most to a sales increase or decline.

Use Amazon Vendor Central with your AI tools

Choose a supported client or connect through Adzviser's hosted MCP endpoint.

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ChatGPT

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Claude

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Gemini CLI

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n8n

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Manus

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OpenClaw

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Perplexity

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Muse

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Trusted by Agencies, Freelancers, and Founders

See how teams use Adzviser to work with their marketing and sales data.

Ryan Whiteside

Adzviser is the Supermetrics replacement we've been looking for. Adzviser delivers the same essential functionality at a much better price point, with far superior customer support. The added bonus of a ChatGPT connector allows for seamless data analysis in a way that enhances workflow efficiency.

Digital Marketing DirectorTwo Wheels Marketing
Jared Laidlaw

I appreciate Adzviser's per-client workspace setup, which simplifies organizing data sources compared to setting them up via channels. The customer support is excellent and responsive, addressing my issues swiftly. The pricing is competitive and scales nicely with business growth, which is crucial for me.

Managing DirectorOrchard Financial Marketing
Adam Orris

It is so simple to create your integration with all the supplied connectors. I also love the ability to send data to Gsheets and Looker for automation. The best part is being able to chat with your data inside of ChatGPT's. Adzviser really helps you along the way as well. The customer support is superb.

Director of Data and AnalyticsDisruptive Advertising
Saar Bell

Adzviser completely transformed the way I handle marketing data! Connecting all my sources to Google Sheets, Looker, and ChatGPT was unbelievably simple — no endless setup or technical headaches. Everything runs fast, accurate, and at a fraction of the cost compared to other tools I’ve tried. The customer support is extremely personal and responsive.

Company OwnerBellaPOINT

Adzviser's Amazon Vendor Central MCP FAQs

No. Adzviser hosts and maintains the remote MCP server. You connect Amazon Vendor Central to an Adzviser workspace, then authorize Adzviser in a compatible AI client. View all MCP data sources →

Yes. You can connect supported AI clients to Adzviser's remote MCP server. Each client completes its own MCP connection flow, while your Amazon Vendor Central credential remains managed in Adzviser. View supported AI tools →

Adzviser offers a $0.99 14-day trial. All plans include unlimited account connections, unlimited MCP queries, and access to all AI destinations. View pricing details →

Yes! Adzviser offers a library of ready-to-use AI prompts specifically designed for Amazon Vendor Central. These prompts cover reporting, optimization, analysis, and auditing — customize them with your account name and date range, then paste into MCP. Browse Amazon Vendor Central AI prompts →

The current Vendor Central connector covers retail sales, returns and traffic. Inventory and purchase-order reports are not included.

Yes. Adzviser has a separate Amazon Ads connector for ad spend, sales, and campaign reporting. Connect your Amazon Ads account to explore that data with your AI assistant. Explore Amazon Ads MCP →

Yes. Adzviser has a separate Amazon Seller Central connector for seller sales and order reporting. Connect your Amazon Seller Central account to explore that data with your AI assistant. Explore Amazon Seller Central MCP →

You can track revenue and units for ordered and shipped products, customer returns, and featured-offer page views. Break the results down by product or marketplace.

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