Review & Sentiment Analytics for US Brands and Retailers
Customer reviews hold the truth about a product — scattered across a dozen sites. We collect reviews from Amazon, Google, Yelp and Trustpilot, then analyze sentiment and topics, so US brands turn thousands of opinions into clear, structured insight.
Thousands of reviews, no way to see what they actually say
A product or brand collects reviews across Amazon, Google, Yelp, Trustpilot and app stores — far too many for anyone to read. A drop in rating gives no reason; a recurring complaint stays buried in the text. Without structured review collection and sentiment analysis, a brand reacts to a star number instead of understanding what customers are really telling it.
Review analytics that tell you what to fix
This is decision-ready review intelligence — built so your product, brand and CX teams act on what customers actually say, not just a star rating.
Reviews from every major platform collected into one dataset.
Sentiment tagged by theme — quality, price, shipping, service.
From your products or locations to a validated review analytics pilot.
Every signal inside a customer review
We deliver structured fields engineered for product, brand, CX and insights teams across US review platforms.
Review text
The full review content, cleaned and structured per row.
Star rating
The rating given, alongside the platform's scale.
Sentiment score
Each review classified as positive, neutral or negative.
Topic tags
Themes such as quality, price, shipping, support, packaging.
Review date
When the review was posted, for trend analysis.
Verified & helpful
Verified-purchase status and helpful-vote counts.
Product / location
The exact product or location the review belongs to.
Rating trend
Average rating and review volume over time.
The US review platforms we collect from
Need more US review sources?
We can extend review collection to app stores, retailer product pages and other US review sources in a later phase, all in one consistent schema.
What US brands do with review analytics
One review intelligence feed supports product improvement, brand management and CX strategy.
Product improvement
Find the recurring complaints driving negative reviews.
Rating-drop diagnosis
See exactly which topic caused a rating to fall.
Competitor benchmarking
Compare sentiment against rival products and brands.
CX prioritisation
Rank service issues by how often customers raise them.
Voice-of-customer reporting
Give leadership structured customer-sentiment trends.
Launch monitoring
Track early sentiment on a new product launch.
This is what your team receives
Clean, validated rows with each review classified for sentiment and topic. Fields are customized to your needs — example schema below.
review_sentiment_analytics_sample.csv
● LIVE SCHEMA
| Product / Location | Source | Rating | Sentiment | Topics | Verified | Review Date | Captured (UTC) |
|---|---|---|---|---|---|---|---|
| INT-44120 | Amazon | 2 / 5 | Negative | Quality, Packaging | Yes | 2026-05-16 | 2026-05-19 17:00 |
| INT-44120 | Trustpilot | 5 / 5 | Positive | Service, Shipping | — | 2026-05-17 | 2026-05-19 17:00 |
| Store · Austin | 3 / 5 | Neutral | Wait time, Staff | — | 2026-05-18 | 2026-05-19 17:00 |
From product list to live review analytics
A simple five-step path — and you talk directly to the engineers building your pipeline.
Send your scope
Share your products, locations and target review platforms.
We collect reviews
We set up review collection across each source.
Sentiment analysis
Each review classified for sentiment and tagged by topic.
You receive data
Clean, analyzed review data via CSV, JSON, API or dashboard.
Alerts trigger
Notifications fire on sentiment shifts and rating drops.
A US-focused review & sentiment analytics partner
We focus on US review platforms and US response hours — so your team gets fast pilots and review data that turns scattered opinions into structured insight.
All-source collection
Reviews from major platforms in one consistent dataset.
Topic-level analysis
Sentiment tagged by theme, not just a single score.
Trend-ready
Rating and sentiment over time for clear reporting.
Alert-driven
Your team is told when sentiment shifts.
About review & sentiment analytics
Review and sentiment analytics collects customer reviews from across the web and analyzes them for sentiment, topics and rating trends. It turns scattered review text into structured insight a brand can act on.
We collect reviews from Amazon, Google, Yelp and Trustpilot as standard, and can add app stores, retailer product pages and other US review sources on request.
Each review is classified for overall sentiment and tagged by topic — such as quality, price, shipping or service — so you can see exactly what customers praise and complain about.
Yes. We collect and analyze reviews for competitor products and locations alongside your own, so you can benchmark sentiment and find gaps to act on.
Review data is commonly refreshed daily so new reviews and rating changes are captured quickly. We confirm a realistic cadence per source before the pilot.
We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, plus an optional dashboard showing sentiment and topic trends over time.
Understand what your customers are really saying
Send us your products or locations and we'll return a sample review analytics dataset — with sentiment and topics — within 1 business day.
Often paired with review analytics
Brand Monitoring Intelligence
Track brand mentions and reputation across the US web.
View solution →Digital Shelf Analytics
Search ranking, content and share-of-shelf signals for brands.
View solution →Retail Price Intelligence
Competitor pricing, promotions and stock across US retail.
View solution →