Customer reviews are the lifeblood of any brand or business.
But manually wading through and organizing this data, or using coarse tools like keyword-based search, don't give large businesses a scalable way to effectively look at and search through all this review data; you risk missing out on crucial issues, opportunities, or angles in your data overlooked by views that traditional tools like spreadsheets and wordclouds give you.
You can get clear views of these crucial issues effortlessly with Nomic Atlas.
Specifically for working with E-Commerce product data, Atlas Data Maps enable you to
• detect and respond to emerging trends and issues
• see at a glance which product decisions worked (and what didn't)
• unearth "hidden joy" drivers that customers rave about—and you should zero in on
Atlas is a smarter, faster way to reveal the themes and semantic patterns in your data. When you look at your review data in an Atlas Data Map, you can make effective decisions with confidence by tying your observations and decisions concretely to your data.
Imagine you’re a growing fashion brand, and you’ve noticed a spike in 1-star and 2-star reviews over the last two weeks. In a short two week period, you normally receive thousands of reviews, far too many to dive into by hand.
Here’s the workflow for using Atlas to see what's going on with those reviews:
1: Open Atlas Dashboard
Go to your Atlas Dashboard to create a new dataset (you'll need an Atlas account which you can create for free).
Then in your dashboard click "Create Dataset"
2: Create a Dataset in Atlas
No complex setup—just drag in your latest reviews as a CSV (and any relevant details like star ratings or SKUs). Atlas will infer which column from your CSV contains your reviews.
Click "Upload Dataset" when you are ready to upload.
3: See Your Reviews Organized By Themes
Within minutes, Atlas groups similar reviews together and produces an interactive map for you to explore it all. You get a bird's-eye view of your entire customer review landscape.
4: Focus on the Problem Areas
Color by rating to show the highest-rated areas of your data in yellow and the lowest-rated areas of your data appear in purple. Notice that there is a large cluster labeled "Washing issues". Filter and zoom in to see a specific root problem: washing causes colors to fade and size to shrink.
5: Pinpoint the Causes, Fast
Highlight a few points and get an AI analysis of your problem: all reviews appear to mention the same two SKUs. Now, filter by those two SKUs and quickly confirm that correlation — the two new SKUs just released have consistently negative reviews. This is a clear action item to address.
In just a few moments, you’ve identified a specific problem and why it's happening, using quantifiable data, without the guesswork or manual slog of reading thousands of reviews. Catching this within days instead of weeks could save thousands in return shipping costs and replacement inventory—plus preserve customer trust and your brand reputation.
Now, you're eager to pinpoint exactly what customers love about your products. Not only can Atlas show that there's "positive sentiment," but highlight why customers are so thrilled.
Here’s how Nomic Atlas provides clarity on what customers rave about — and where you should double down and shine a spotlight:
1: Search Your Data
Ask Atlas to find all reviews where the "customer loves the product" and it'll understand the underlying meaning and surface all the ways that people love your product across the map—not just the word "love".
2: Tag Data To Spotlight
Find these rare gems and your biggest supporters and why they love your product. Collaboratively tag these for future reference within your team—what to focus on as you develop, or what to spotlight in your marketing.
3: Get Your Team In Sync With Your Data
Align your team with data-backed insights provided by the Atlas Data Map and stay on top of your product according to what your customers are saying.
Most existing tools were made for an era of tabular data—spreadsheets of rows and columns that answer basic questions like "sales revenue this month". But today's most valuable insights come from unstructured data—think text, images, and videos from the thousands of customers leaving Amazon reviews or messaging your store on WhatsApp. This data doesn't naturally fit into the structure required by many existing tools - so this data can't always help you answer deep, nuanced questions like:
• How much do specific discount codes and promo campaigns affect user sentiment?
• What are the top drivers for an uptick this month in returns, refunds, and low ratings?
• Which product features or designs spark the most “joy” among loyal customers?
• How many returns could be prevented by quickly spotting potential product defects or mislabeling issues?
Atlas is a useful tool for analyzing all kinds of natural language data, like Gong sales transcripts - not just reviews. It's a multi-purpose tool built to work with all kinds unstructured datasets, helping you discover deeper insights and unexpected correlations that legacy tools would bury.
We've spent years researching and developing our own in-house AI models to address these exact important text analytics needs. Specifically, we train our own state-of-the-art embedding models that transform your raw customer review data into a nuanced explorable semantic space.
These models enable our users to drag-and-drop large datasets—whether it's reviews, feedback, social media chatter, or survey responses—into Atlas, and have Atlas map out emerging themes in no time across the entire dataset.
From pinpointing emerging issues to spotlighting what your customers love most, Nomic Atlas turns raw review data into focused, actionable insights. No more hunting through a sea of reviews, no more guesswork on which features to highlight—just clear, data-driven answers, anytime you need them.
If you’re ready to see how Atlas can transform your customer review data analysis, we invite you to try it for yourself. Sign up for free and explore for yourself what Atlas has to offer—or contact us and let us guide you through a personalized demo to discuss your needs.
