What customers praise and complain about, with the right action already suggested.

Voice of the Customer reads every product's reviews and organizes what shoppers praise and complain about by theme, with each theme's share of mentions — and Vision suggests the top action to fix the listing or the product based on what was said.

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Voice of the Customer · see it in action

Understand praise and complaints to improve the product and the listing.

See the sentiment breakdown, recurring themes and the suggested top action for every product.

Illustrative demo with fictitious data.

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What it is and who it's for

The dashboard shows products analyzed, total reviews collected, how many products have criticism (rating below 4.0) and how many have an improvement suggested by Vision, with search by product, ASIN or SKU, a status filter and a "Most critical" sort.

Each product opens with the sentiment breakdown (positive, pain points, requests), the top praise and top problems by theme with share of mentions, recurring improvement requests and the suggested top action from Vision. It's for anyone who wants to fix the listing and the product based on what customers actually say, instead of just looking at the average rating.

The problem it solves

Reading hundreds of reviews, product by product, to spot complaint patterns and decide what to fix in the listing or the product doesn't scale by hand. The average rating alone doesn't tell you what's behind it — it could be a color mismatch, a wrong size in the description or a real quality issue.

How it works

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Prioritized dashboard

Products with criticism and suggested improvements are highlighted, with a "Most critical" sort so you tackle what needs it most first.

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Praise and problems by theme

Each theme with its share of mentions — not just "low rating," but the specific reason behind it.

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Suggested top action

Vision recommends what to fix — images, listing copy or the product itself — based on the themes it found.

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Confidence by sample size

Products with few reviews are flagged as "Small sample," so you can calibrate how much to trust the analysis.

Example

You open Voice of the Customer sorted by "Most critical" and find a product rated 3.4. The top problems show "Colors don't match the listing — 29%" and "Fewer pieces than advertised — 14%." The suggested top action is to fix the listing images and check the piece count in production — you brief your content team with the problem already identified.

Integrations and data used

Amazon reviews

Reviews collected per product, analyzed to extract praise and complaint themes, without exposing third parties' raw text.

Vision (AI)

The engine that classifies themes, calculates the sentiment breakdown and generates the suggested top action for each product.

Controls and security

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Read-only

Voice of the Customer analyzes and suggests — it doesn't change listings, products or campaigns on its own. You always make the fix.

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Isolated per account

Each tenant only sees the analysis of its own products — no data is accessible to any other EcomVision customer.

Learn more in our Privacy Policy.

Voice of the Customer vs. reading reviews by hand

Reading by hand

Going through every review of every product to try to spot a pattern — impossible with a large catalog.

In Voice of the Customer

Themes already extracted and quantified, with the suggested top action, prioritized by the most critical products.

Frequently asked questions

How does Voice of the Customer organize reviews?

By product, sorting praise and problems into themes with each theme's share of mentions (e.g., "Colors don't match the listing — 29%"), plus recurring improvement requests and the overall sentiment breakdown (positive, pain points, requests).

Does Vision suggest what to do about those complaints?

Yes. Every product has a suggested Top action — for example, fixing the listing images to show the product's real colors, or revising the copy so it represents the size correctly.

How do I know which products need attention first?

The dashboard shows products analyzed, reviews collected, products with criticism (rating below 4.0) and how many have an improvement suggested by Vision, with a status filter and a "Most critical" sort.

Does Voice of the Customer account for review sample size?

Yes. When a product has few reviews, the screen flags "Small sample" next to the sentiment breakdown so you can calibrate how much to trust the analysis.

Official Amazon partner

EcomVision is part of the Amazon Service Provider Network (SPN), takes part in the Amazon Mentor program and is an Amazon Ads Verified Partner. Learn more on About us →

Fix your listing based on what customers actually say

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