--- title: "Amazon Ads Integration for Rig: Query Amazon Ads Data in Plain English" description: "Connect Amazon Ads to Rig and query your Amazon Ads data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse." canonical: "https://rig.so/integrations/amazon-ads" format: markdown --- Browse integrations ![Amazon Ads logo](https://img.logo.dev/advertising.amazon.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true) Advertising Supported # Amazon Ads integration for Rig ## The easiest way to connect Amazon Ads to Claude and other AI tools Amazon Ads is Amazon's advertising platform for Sponsored Products, Sponsored Brands and Sponsored Display campaigns that promote listings across Amazon. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) ## What Rig syncs from Amazon Ads Once connected, Rig models these objects so questions resolve to the right tables and joins: - Sponsored Products campaigns - Sponsored Brands campaigns - Sponsored Display campaigns - Ad groups - Keywords - ACOS - Spend - Sales - Impressions ## How Amazon Ads connects to Rig Rig Ingest syncs your Amazon Ads campaigns, ad groups, keywords and daily performance into your warehouse on a schedule. Rig models spend, sales and ACOS so profitability and keyword questions resolve correctly across campaign types. [Read the step-by-step Amazon Ads setup guide](https://rig.so/guides/connect-amazon-ads) ## Manage ACOS and ad-attributed sales Advertising cost of sales is spend divided by attributed sales, and Rig reads both from Amazon Ads. You can track ACOS by campaign, ad group or keyword and find products where ad spend is eating the margin. Ask Rig - What was ACOS by campaign last month? - Which keywords have ACOS above our target? - Show ad-attributed sales by product over time ## Find wasted spend across keywords and campaigns Rig joins Amazon Ads keyword performance to spend and sales, so you can surface terms spending budget without driving sales. That turns a manual search-term report into a single question. Ask Rig - Which keywords spent the most with no sales? - Show campaigns with rising spend and falling sales - List ad groups with ACOS above 50 percent ## Compare performance across campaign types Rig models Sponsored Products, Brands and Display together, so you can compare spend, sales and ACOS across all three. That shows which campaign type returns the most for each product line. Ask Rig - Compare ACOS across Sponsored Products, Brands and Display - Which campaign type drives the most sales per dollar? - Show spend share by campaign type this quarter ## Track spend pacing against budget Rig reads daily Amazon Ads spend, so you can see how campaigns are pacing and catch ones overspending before the budget runs dry. Sellers keep ad budget aligned with the month. Ask Rig - How much have we spent month to date by campaign? - Which campaigns are pacing over budget? - Show daily spend trend across all campaign types ## Ask your Amazon Ads data in Claude, ChatGPT or Cursor Rig serves your Amazon Ads data to AI assistants over MCP. Once Amazon Ads is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL. - [Claude](https://rig.so/integrations/claude) - [Claude Code](https://rig.so/integrations/claude-code) - [Cursor](https://rig.so/integrations/cursor) - [ChatGPT](https://rig.so/integrations/chatgpt) - [Codex](https://rig.so/integrations/codex) - [Gemini](https://rig.so/integrations/gemini) ## Frequently asked questions What Amazon Ads data does Rig sync? Sponsored Products, Sponsored Brands and Sponsored Display campaigns, ad groups and keywords with daily metrics like spend, sales, ACOS and impressions. Can Rig track ACOS without a dashboard? Yes. Rig models spend and attributed sales, so ACOS and wasted-spend questions are answered in plain English by campaign, ad group or keyword. Can I query Amazon Ads data in Claude or ChatGPT? Yes. Once Amazon Ads is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP. How often does Amazon Ads data refresh? Rig Ingest syncs on a schedule you set and tracks schema changes so new campaigns and fields appear automatically. ## Related integrations [![AppLovin logo](https://img.logo.dev/applovin.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)AppLovinMobile user-acquisition and install analytics from your AppLovin campaigns.](https://rig.so/integrations/applovin)[![Criteo logo](https://img.logo.dev/criteo.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)CriteoRetargeting and performance analytics across your Criteo campaigns.](https://rig.so/integrations/criteo)[![Google Ads logo](https://img.logo.dev/ads.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Google AdsCampaign, keyword and conversion analytics from your Google Ads account.](https://rig.so/integrations/google-ads)[![LinkedIn Ads logo](https://img.logo.dev/linkedin.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)LinkedIn AdsCampaign, creative and lead performance from the LinkedIn Marketing API.](https://rig.so/integrations/linkedin-ads)[![Meta Ads logo](https://img.logo.dev/facebook.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Meta AdsCampaign, ad set and creative ROAS analytics across Facebook and Instagram.](https://rig.so/integrations/meta-ads)[![Microsoft Ads logo](https://img.logo.dev/ads.microsoft.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)Microsoft AdsBing search campaigns, keywords and search terms alongside the rest of your paid spend.](https://rig.so/integrations/microsoft-ads) ## Connect Amazon Ads data to AI tools like Claude Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/integrations/amazon-ads) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)