🛎️ Catch Issues Before They Tank Your Sales

🧠 Your New AI Assistant for Performance Monitoring

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Hey there!

If a product starts underperforming on Amazon, the signs usually show up before your revenue drops.

It might be a small dip in click-through rate (CTR).

A sudden uptick in returns.

Or a few three-star reviews with subtle complaints.

But most sellers miss these early warning signs—because they’re buried in scattered reports.

That’s where ChatGPT becomes your second pair of eyes.

With the right prompts, it can help you scan your product performance data, detect trends, and suggest corrective action before things spiral.

Let’s break it down:

STEP 1: Pull Your Product Data Regularly

Start by exporting your product performance data from Seller Central or your analytics tool—weekly or bi-weekly.

You’ll want these metrics:

• Sessions

• Conversion rate

• CTR

• Sales

• Refund rate

• Buy box %

• Review trends

• Star rating average

💡 Tip: Save this data in a simple spreadsheet and update it consistently. Patterns are easier to catch with historical context.

STEP 2: Ask ChatGPT to Spot Drops and Spikes

Once your data is ready, paste it into ChatGPT and prompt:

Prompt:

“Here’s my product performance data for the last 6 weeks. Highlight any significant drops or spikes in CTR, conversion rate, or sales. Tell me what might be causing them.”

ChatGPT will help surface:

✅ A 10% drop in CTR (possible image/title issue?)

✅ A conversion dip (could be due to pricing or negative reviews)

✅ Refund rate increase (maybe a product defect?)

You’ll get instant feedback instead of sifting through rows manually.

STEP 3: Dig Into Customer Feedback

Even before metrics fall, reviews and Q&A often hold the first clues.

Prompt:

“Analyze the last 25 reviews and Q&A for my [product name]. Identify any recurring complaints, concerns, or confusion that could impact future performance.”

You might uncover:

• Complaints about sizing or misleading photos

• Questions that hint at poor instructions

• Mentions of alternatives customers prefer

🧠 Extra tip: Ask, “What improvements should I consider based on this feedback?”

STEP 4: Compare Against Benchmarks

To figure out if a drop is your problem—or an industry-wide one—ask ChatGPT to compare your performance to averages.

Prompt:

“Based on Amazon FBA benchmarks for [your category], how do these metrics compare: CTR, conversion rate, refund rate?”

This gives you context. 

If your conversion dropped from 22% to 19%, but the category average is 14%, you’re still in a strong position.

STEP 5: Identify Root Causes and Suggest Fixes

Now that you’ve spotted what’s off, use ChatGPT to troubleshoot and generate next steps.

Prompt:

“My CTR dropped 15% over 3 weeks. My main image, title, and price haven’t changed. What else could cause this, and how should I test improvements?”

Or:

“Refunds are increasing. Reviews mention packaging damage. Suggest alternative packaging types or improvements that could fix this.”

You’re not just reacting—you’re diagnosing like a pro. 

STEP 6: Build a Performance Monitoring Routine

Finally, turn this into a system. 

Prompt:

“Help me build a weekly product performance review checklist that includes reviewing data, analyzing feedback, and identifying risks.”

This way, every week you know what to check—and how to take action fast.

🧠 RECAP:

✔ Use ChatGPT to analyze trends in your product performance

✔ Catch dips in CTR, conversions, reviews, and refund rates

✔ Read between the lines of reviews and Q&A

✔ Compare your metrics to category benchmarks

✔ Build a repeatable weekly monitoring system

Most sellers only notice a problem after the damage is done.

But you? You’ll see it coming. All it takes is a few minutes and the right ChatGPT prompts.

💬 Quick Question Before You Go:

What’s the first sign you look for when a product starts underperforming?

Hit reply and let me know.

💡 Never miss out on important updates from the AI world:

1. Google Photos merges classic search with AI to speed up results (source)

The AI feature, first introduced at Google’s I/O developer conference last year, allows users to search across their collection of digital photos using natural language queries. 

Leveraging Google’s Gemini, Ask Photos taps into the AI’s ability to understand a photo’s content and its other metadata when responding to input.

2. YouTube adds an AI Overviews-like search results carousel (source)

YouTube is rolling out new AI-powered features to help users find content and information more easily, the company announced on Thursday. 

The platform is launching an AI-powered search results carousel similar to Google’s AI Overviews and is also testing conversational AI with more users.

The new AI-powered search results carousel, available only to YouTube Premium users in the United States, will suggest videos and display brief AI-generated topic descriptions to help users find what they’re looking for faster.

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The Motivational Corner

👍️ "Opportunities don’t happen. You create them." – Chris Grosser