If you’re running an e-commerce store, you’re probably swimming in feedback—product reviews, customer comments, social posts, support emails. But knowing what people are saying isn’t enough. What really moves the needle is understanding the why behind their words. That’s where the Customer Sentiment Analysis report comes in.
This report pulls together all the feedback across your brand and products and uses AI to surface key themes, keywords, and trends in how customers talk about their experience with your store. It’s like having a highlighter for your entire feedback stream—so you don’t miss what really matters.
Customer sentiment isn’t just about how people feel—it’s about how your business performs. By understanding the patterns in what customers are saying, this report helps you:
This isn’t just about saving time—it’s about making smarter, faster decisions that impact revenue, retention, and reputation. Imagine being able to spot why first-time customers aren’t coming back, or seeing how pricing is impacting sentiment in real-time.
According to PwC, 32% of customers will stop doing business with a brand they love after just one bad experience. And McKinsey reports that companies that act on customer feedback in real time grow revenue 2–3 times faster than those that don’t.
Customer sentiment is a leading indicator of success—and yet, many stores only look at it reactively. This report flips that. It gives you a proactive tool to drive change and growth from the inside out.
The Customer Sentiment Analysis report includes two key recipe modules that break things down in an actionable way:
This recipe scans all your customer comments and pulls out the most common keywords—like “order,” “product,” or “price”—then shows whether those mentions were positive, negative, or mixed. It helps you understand the emotional weight behind specific parts of the shopping journey. The keyword distribution receipe is automatic and scans for most 'mentioned' words.
For example, if “website” comes up a lot in negative comments, that’s a signal to investigate UX or performance. If “product” is mostly positive, that’s something to amplify in marketing or social proof.
This topic trend distribution tracks topics you specifically have SET to track. It's not trying to FIND topics, but rather, going through pre-selected themes you may want to know about and looks at the review mentions in them. This takes things a level higher by grouping feedback into broader themes like “Shipping,” “Checkout,” “Service,” or “Experience.” You get a high-level view of how sentiment trends across those areas—and which ones need attention first.
Instead of guessing what’s causing frustration or drop-off, this lets you focus directly on the biggest opportunities for improvement.
At the end of the day, your customers are telling you everything you need to know—you just need a better way to listen. The Customer Sentiment Analysis report helps e-commerce stores turn scattered feedback into a strategic asset. It saves time, uncovers revenue opportunities, and keeps you one step ahead of churn or negative sentiment.
If you’re looking for a smarter way to grow your business, start with what your customers are already telling you. This report just helps you hear them more clearly.
