Analyze Amazon Ad Performance with AI: Prompts to Diagnose, Improve & Scale

Analyze Amazon Ad Performance with AI: Prompts to Diagnose, Improve & Scale

Amazon advertising doesn’t reward effort — it rewards precision. You can spend thousands on Sponsored Products, Brands, and Display, but if you don’t deeply understand why your ads are working (or not), you’ll waste more than just money. You’ll miss scale.

AI makes it possible to go beyond surface-level metrics like ACoS or CTR. With the right prompts, you can break down patterns, isolate problems, and generate smart fixes — without sifting through pivot tables for hours.

This guide is packed with actionable prompts to help you interpret your Amazon Ads performance clearly and optimize it decisively.

Step 1: Run a Performance Audit

Start by asking the big question: what’s working — and what’s bleeding?

Prompt 1
Here’s last week’s ad report for my top 10 ASINs: [paste data]. Highlight the 3 biggest problems in performance and what might be causing them.

Prompt 2
Analyze this campaign: CTR is high, but conversions are low. What are the most likely issues and what tests should I run?

Prompt 3
Compare these three ad groups. Which one has the best efficiency based on ACoS and CVR? Which one should I pause?

Power Move
Ask AI to spot patterns, not just numbers:
“What performance anomalies can you identify in this dataset?”

Step 2: Connect Metrics to Actionable Problems

Performance metrics are signals — the real value comes from interpreting the signal correctly.

Prompt 4
My TACoS has increased from 9% to 13% in the last 30 days. What might be causing this and how should I respond?

Prompt 5
My ACoS is good, but sales are down. What might this mean in terms of bid strategy, keyword volume, or listing health?

Prompt 6
Which metrics should I look at first when evaluating Sponsored Products campaigns for growth potential vs scaling risk?

Expert Insight
Ask for metric translation:
“Explain what each of these Amazon Ads metrics actually tells me about customer behavior: CTR, CVR, ACoS, TACoS, RoAS.”

Step 3: Improve Poor-Performing Campaigns

When performance lags, you don’t just want to know it’s bad — you want to know exactly how to fix it.

Prompt 7
Here’s a list of underperforming keywords. Suggest fixes grouped by: pause, lower bid, improve listing, or negative match.

Prompt 8
Write a 3-step plan to improve a Sponsored Brand campaign that’s getting impressions but no clicks.

Prompt 9
My click-through rate is below 0.3% for several products. What image, copy, or targeting issues might be causing this?

Pro Framework
Ask for diagnosis trees:
“Create a decision tree for improving ad performance based on whether the issue is CTR, CVR, or high ACoS.”

Step 4: Interpret Keyword & Search Term Reports

Your keyword reports are gold — if you know how to mine them.

Prompt 10
Review this list of high-cost, low-conversion keywords. What themes do you notice and what should I change in targeting?

Prompt 11
Analyze this search term report and tell me which queries are wasting ad spend. Suggest match type adjustments or negatives.

Prompt 12
From this list of top-converting search terms, generate 10 new keywords to target in phrase or exact match.

Smart Move
Let AI segment your terms:
“Group these keywords into branded, competitor, generic, and long-tail — and suggest strategies for each.”

Step 5: Report Performance to Your Team or Client

Don’t just run ads — communicate what’s happening, what’s next, and why it matters.

Prompt 13
Write a weekly Amazon Ads performance summary I can send to my team. Include top insights, wins, losses, and action items.

Prompt 14
Turn this raw ad report into a client-friendly performance overview. Focus on outcomes, not just numbers.

Prompt 15
Build a monthly ad performance report structure with sections for key metrics, trends, breakdown by ASIN, and recommendations.

Power Add-On
These summaries are perfect to plug into Loom videos, dashboards, or project trackers for async updates.

Bonus: Real-Time Ad Performance Assistant

Here’s how to turn your AI tool into a performance coach.

Prompt 16
Act as my Amazon Ads performance analyst. I’ll paste in metrics and reports each week, and you’ll tell me what’s working, what’s failing, and what to change — clearly and concisely.

Final Thoughts

Interpreting Amazon Ads performance doesn’t have to mean staring at endless spreadsheets. With a good prompt stack and a clean dataset, you can act faster, scale smarter, and protect your margins.

AI gives you the edge that lets you compete with brands that have full in-house PPC teams — even if you’re a one-person shop.

Want to go deeper into data analysis, ACoS reduction, or weekly report generation?
Explore the full Ad Performance Prompts for Amazon Sellers and start optimizing with clarity.