Your star rating tells you how customers feel. Your reviews tell you why — if you can analyze them at scale.
TL;DR: An average star rating can hide what customers are actually saying. To understand what's working and what isn't across hundreds of locations, analyze sentiment by journey stage or topic (staff, wait times, billing), compare results by location, and establish clear response guidelines while giving local teams room to respond. Then address the issues customers raise and track whether sentiment improves.
Consider a review a restaurant group might receive about service on busy Friday night:
"Our server was fantastic. But we waited 35 minutes for a table we'd reserved, and half the menu online wasn't available. Three stars."
That's three pieces of feedback: great service, a frustrating reservation experience, and an outdated menu. The three-star rating captures none of them. Multiply that by thousands of reviews across hundreds of locations, and the details that tell you what to fix get lost in the average.
Those details matter more now than ever. In Yext's 2026 Consumer Search Behaviors Report, star ratings ranked as the top factor customers consider before acting on an AI recommendation. The rating tells you the result. The reviews help you understand how to improve it.
Score sentiment by journey stage, area, and topic, not by review
A single review often covers several parts of the customer experience. Scoring the entire review as positive or negative can hide valuable details. A more useful approach, called aspect-based sentiment analysis, scores each topic a customer mentions.
Sentiment analysis connects the topics customers mention with the words they use to describe them. "Friendly staff" signals positive sentiment about employees, while "broken ATM" signals negative sentiment about ATM availability. Looking at these patterns across reviews helps you understand which parts of the customer experience are working well and which need attention.
You can take this further by organizing feedback around stages of the customer journey, such as booking, the visit, checkout, or billing. This helps you prioritize issues, track how sentiment changes over time, and identify the reviews behind each trend. Instead of simply knowing customers are unhappy, you can pinpoint where problems occur, whether they're getting worse, and what's driving them. Tools like Yext Reviews help brands do this across every location.
Look at sentiment across your brand and individual locations
Brand-wide sentiment gives you a useful view of overall customer satisfaction, but it doesn't tell the whole story. Parking availability might be a common complaint at downtown locations but a strength in the suburbs. Looking at sentiment by location alongside your brand-wide results helps you understand these differences and uncover issues that might otherwise go unnoticed.
Together, these views help you identify patterns across your brand while understanding what's happening at individual locations. You can spot widespread issues that need a coordinated response, pinpoint locations that need extra support, and identify successful approaches worth sharing across your organization.
Ask customers for more specific feedback
A star rating tells you how a customer felt about their overall experience, but it doesn't tell you which parts of that experience influenced their rating. Asking customers to rate specific aspects of their visit, such as service, cleanliness, or wait times, gives you more detailed feedback to work with. This makes it easier to identify what's driving satisfaction and where improvements are needed.
Category-specific ratings can also help future customers. For example, someone choosing a restaurant might care more about service than parking. Displaying feedback by category on your website helps them find reviews relevant to their priorities. Yext Reviews supports this through Category Ratings for Review Generation, which lets customers rate multiple aspects of their experience with one click per category.
Let corporate set the rules and locations do the responding
For many multi-location brands, a hybrid review management model works well. Corporate teams manage sentiment data, response guidelines, and approvals, while local teams provide the context needed to respond to individual reviews.
Approval workflows make this possible. A franchisee or local manager drafts a response, and corporate approves it before publication. AI-assisted drafting also helps teams keep up with incoming reviews. Brands can establish guidelines for tone, length, and handling complaints, while including relevant details for each location.
Consistent responses can make a difference. Yext customers who respond to at least 75% of their reviews see an average half-star increase in their ratings, including when responses are AI-generated.
Fix the problem, then close the loop
Understanding customer sentiment is valuable, but the real opportunity comes from acting on it.
When sentiment around a topic declines, share those insights with the team responsible, whether that's operations, billing, or the front desk. Respond to the customers who raised concerns, address the underlying issues, and monitor whether sentiment improves over time.
It's also important to understand how your locations compare with nearby competitors. Yext Scout compares each location's star rating and review volume against local competitors, helping you identify where your brand may be falling behind.
Turn reviews into your best source of customer feedback
Customers are already telling you what's working and what needs to improve across your locations. The key is turning that feedback into action.
Yext Reviews, part of Yext's Enterprise Agentic Marketing Platform, helps brands analyze customer sentiment, respond to reviews at scale, and track how customer feedback changes over time.
