---
title: "How to mine Amazon reviews for ad angles"
description: "Competitor reviews are a free focus group. How to mine Amazon reviews for the desires, objections, and verbatim phrases that become high-converting ad angles."
canonical: https://tryadlicio.com/scrapers/guides/mine-amazon-reviews-for-ad-angles
---

# How to mine Amazon reviews for ad angles

By Daniel, founder of Adlicio

Competitor reviews are a free focus group. How to mine Amazon reviews for the desires, objections, and verbatim phrases that become high-converting ad angles.

An Amazon review is a customer explaining, unprompted and in their own words, why they bought, what almost stopped them, and what the product actually did for them. Multiply that by a few hundred reviews and you have a **focus group that already ran**, for free, on your competitor's listing.

Mining it means going from 'I read some reviews' to a **ranked list of angles with proof**. Here is the method.

## Read the star ratings as layers, not scores

**Each rating band** answers a different research question. Five-star reviews tell you the outcome that delighted people and the words they reach for when recommending. One-star reviews tell you the failure modes and the fears a new buyer brings. Three-star reviews are the honest middle: 'good but', which is where positioning against a competitor usually starts.

- **Five-star**: desire language and the moment of payoff. Your outcome hooks.
- **One-star**: objections, broken promises, disappointments. Your proof hooks and your 'unlike the one that broke' angles.
- **Three-star**: trade-offs and comparisons. Your differentiation copy.

## What counts as an angle

An angle is a reason to buy, stated as the customer feels it, not a feature. 'Stainless steel construction' is a feature. 'The third one I bought this year because the cheap ones keep snapping' is an angle: **durability framed as money already wasted**. When a phrasing pattern shows up across dozens of reviews, you have found a reason to buy that the market has already validated.

## Let the clustering do the counting

Tallying themes across **400 reviews** by hand is an afternoon of spreadsheet work per product. Adlicio does it in about 60 seconds: paste the product URL and the reviews come back clustered into ranked angles, each with a hook line and the verbatim quotes that back it.

Run it on your own product and your competitor's. The **gap between the two clusters** is your positioning: the pain their buyers report that your buyers do not is the strongest ad you can write.

## How to do it with Adlicio

1. **Scrape your product and 2-3 competitors** - Paste each Amazon URL into Adlicio. Around 60 seconds per product, and every scrape stays in your history.
2. **Compare the top clusters across products** - Look for objections your competitors' buyers raise that yours do not, and desires everyone shares. Both are angles.
3. **Write ads from the verbatim quotes** - Lead with the customer's phrasing, not your rewrite of it. The review language is what makes the ad feel true.

## FAQ

### Should I mine my own reviews or competitors'?

Both, and compare them. Your reviews tell you what to promise; competitor reviews tell you what doubts to answer and which failures to position against.

### How many reviews do I need for reliable angles?

Patterns stabilize around a couple hundred reviews. Below that, treat the clusters as hypotheses and validate with a second product or a Reddit thread in the same category.

### Can I do this for products outside my niche?

Yes, and it is a common agency workflow: mine the category leader's reviews before a client pitch so the angles arrive already backed by customer quotes.

## Links

- This guide: https://tryadlicio.com/scrapers/guides/mine-amazon-reviews-for-ad-angles
- Scraper: https://tryadlicio.com/scrapers/amazon-review-scraper
- Pricing: https://tryadlicio.com/pricing
- Start free: https://tryadlicio.com/signup