How to Connect Amazon Ads to ChatGPT (2 Steps, No Code)

One of the most common problems with Amazon Ads is not that you do not have enough data. It is that you have too much of it.

Buried under layers of Campaign Manager tabs and Bulk Operations files is the secret to your next 20% of growth. But right now that secret is trapped in a spreadsheet you do not have time to open.

Most advertisers spend their weeks playing data janitor. They download, they filter, they pivot. Then they hunt manually for the leaks: the ASINs bleeding budget, the bidding wars they cannot win, and the high-ACOS campaigns quietly eating their profit.

Here’s the fix: connect Amazon Ads to ChatGPT with Windsor.ai, and analyze your entire account with AI.

🚀 Connect Amazon Ads to ChatGPT with Windsor’s native app. Start for free → onboard.windsor.ai/app/amazon_ads.

With Amazon Ads in ChatGPT, you can simply ask:

• Which products have a high click-through rate but a conversion rate below my break-even point?
• Which seasonal campaigns should I pause based on the last 14 days of performance?
• Which auto-campaigns are cannibalizing my organic sales?

Stop digging through spreadsheets and start making winning decisions. Here is how to set it up in under a minute.

Connecting Amazon Ads to ChatGPT with Windsor MCP: 2 steps

Windsor.ai streams your Amazon Advertising data into ChatGPT via a native app. No code, no developer needed.

📖 Full guide: windsor.ai/documentation/windsor-mcp/how-to-integrate-data-into-chatgpt/.

Before you start

• An Amazon Advertising account (Sponsored Products, Brands, or Display)
• A Windsor.ai account (free or paid plan, from $19/month)
• A ChatGPT account

Step 1. Connect Amazon Ads in Windsor

Go to onboard.windsor.ai/app/amazon_ads and select Amazon Ads as your data source. Connect your Amazon Advertising account via the standard OAuth flow, and select the account(s) you want to analyze.

Step 2. Install Windsor’s native app in ChatGPT

Open Windsor’s native ChatGPT app and click Connect. Grant access when prompted. Then run a quick check to confirm your data is flowing:

What Amazon Ads accounts are connected, and what date range of data is available?

Windsor pulls your data on demand, so every answer reflects your current numbers, with no scheduled refresh to manage.

What to ask ChatGPT about your Amazon Ads data: prompt ideas

Copy and paste these directly into ChatGPT to get started. Each uses your live Amazon Ads data.

1. Identify wasted spend

Analyze my Amazon Ads account for wasted spend over the last 30 days. Target ACOS: [YOUR TARGET].

Rank all active campaigns by spend, and for each show spend, sales, ROAS, ACOS, orders, clicks, CTR, CVR, and CPC. Classify each as Efficient (ACOS below target, CVR above 5%), Low engagement (CTR below 0.3%), or Poor conversion (CTR acceptable but CVR below 5%). End with the top 3 budget leaks and what type of fix each needs.

2. Track performance trends over time

Show my Amazon Ads performance week by week over the last 30 days: spend, sales, orders, ROAS, ACOS, CTR, CVR, and CPC per campaign.

Flag campaigns where ROAS dropped more than 15% for two or more consecutive weeks and note whether the cause is rising CPC, falling CVR, or falling CTR. Also flag any week where spend, sales, or orders moved more than 30% versus the prior week.

3. Compare campaign types (SP vs SB vs SD)

Compare performance across Amazon Ads campaign types over the last 30 days: Sponsored Products, Sponsored Brands, and Sponsored Display.

For each type show spend share, revenue share, ROAS, and ACOS versus my target. Classify each as core performer, scale candidate, efficiency problem, or awareness play, and recommend how to rebalance spend.

4. Budget allocation

Audit budget allocation across my campaigns over the last 14 days. Target ACOS: [YOUR TARGET].

Group campaigns into scale opportunities (below target ACOS and budget-capped), budget waste (above target ACOS with high spend), budget-limited but unproven, and efficient and stable. Output a reallocation table showing current spend, recommended spend, and estimated revenue impact.

5. New-to-brand acquisition

Analyze new customer acquisition across my Sponsored Products and Sponsored Brands campaigns over the last 30 days.

Pull new-to-brand orders, new-to-brand sales, and total orders and sales. Calculate new-to-brand order rate, revenue share, and cost per new customer, and flag high-spend campaigns where the new-to-brand rate is below 20%.

6. Executive summary for stakeholders

Create an Amazon Ads performance summary for the last 30 days versus the prior 30 days.

Include an account scorecard (spend, sales, orders, ROAS, ACOS with % change), a campaign-type breakdown, the top 5 campaigns by revenue, the bottom 5 by ROAS with a diagnosis for each, and 3 to 5 prioritized next actions in plain language.

🤖 Browse the full Windsor AI Prompt Library for more ideas: windsor.ai/prompt-library/.

The Amazon Ads fields Windsor sends to ChatGPT

Windsor supports hundreds of attributes, but these core metrics and dimensions drive the majority of high-level strategic audits. Explore the full list at windsor.ai/data-field/amazon_ads/.

• Performance and efficiency: total advertising spend, attributed sales (1, 7, 14, and 30-day windows), ACOS, ROAS, clicks, and impressions.
• Strategic dimensions: ad type (Sponsored Products, Brands, Display), marketplace, campaign name, and campaign status.
• New-to-brand metrics: new-to-brand orders and new-to-brand order rate for Sponsored Brands and Display, to track growth beyond your existing customer base.

Bonus: analyze Amazon Ads alongside your full business data

🔗 Windsor.ai connects Amazon Ads with 350+ platforms, so you can analyze it alongside the rest of your stack in one ChatGPT conversation.

• Amazon Ads + Amazon Seller Central: blend ad data with organic sales to calculate Total ACOS (ad spend divided by total ASIN revenue), a far more accurate profitability measure than standard ACOS.
• Amazon Ads + Shopify: compare paid performance on Amazon against your own store to decide where each product deserves more budget.
• Amazon Ads + Google Ads and Meta Ads: put every paid channel in one view and compare ROAS and cost efficiency side by side.

Conclusion

Amazon Ads rewards precision. At scale, running SP, SB, and SD across hundreds of ASINs, the difference between a 25% ACOS and a 35% ACOS is the quality of your analysis.

Windsor.ai gives ChatGPT a live window into your Amazon Ads account. Not a snapshot, not an export, the actual data, right now. Ask a question, get an answer, ask a follow-up, and keep going until you know exactly where to move the budget and why.

🚀 Connect Amazon Ads to ChatGPT, get started for free → onboard.windsor.ai/app/amazon_ads.