RATINGS AND REVIEWS

Measuring Customer Sentiment to Improve Your Business

AG
Allen Graves
Expert Industry Author, Bloom Intelligence
Sep 27, 2021 3 min read

Successful companies collect and analyze data from customers to identify customer sentiments, which can be used to identify areas of improvement and strengths.

Customer sentiment analysis is a powerful tool that gives insight into the thoughts and feelings of consumers. By understanding how your company is perceived by its customers you can make adjustments to improve it or find out what aspects are most valued by your target audience.

Here we will learn more about the different ways restaurants can use sentiment analysis, such as analyzing online ratings and reviews, to see if they are meeting customers’ needs.

Using Ratings and Reviews to Measure Customer Sentiment

Not only are ratings and reviews good for your bottom line, but they are also great for spotting trends and measuring customer sentiment.

Measuring customer sentiment can give you very deep insight into your customer base. It tells you not only what customers like and dislike, but the reasoning behind the way they feel that way.

This allows for actionable insight to improve the customer experience, manage complaints better, spot trends, spot new opportunities — all of which can increase brand loyalty and repeat customers.

Measuring Customer Experience Using Ratings and Reviews

Examples of Using Customer Sentiment to Improve Business

For example, you may discover consistent negative reviews about a certain menu item being too salty or not large enough in portion size – so you change the recipe and increase portion size. This is a great example of being able to make positive changes based on customer sentiment.

It is valuable unsolicited customer feedback at no cost whatsoever. It tells you what customers like and dislike about your product or service, but it also provides you with extremely valuable information on why they feel that way.

Customer sentiment analysis is the process of obtaining and analyzing this feedback from customers.

To get the most out of your data, you need to be able to focus on the big picture while also looking at specific details. In using sentiment analysis tools, customer feedback becomes clear and useful information that can help you make targeted changes to improve your marketing, operations, and overall customer experience.

Use a Word Cloud to Spot Sentiment More Easily

Bloom Intelligence offers great customer sentiment tools to help you optimize your marketing and operations.

Bloom is integrated with Google and Facebook. Using Google and Facebook ratings and reviews, Bloom allows you to read, manage, and respond to all reviews in one centralized platform.

Moreover, the platform will analyze all of your ratings and provide you with an AI-driven word cloud to show a graphical image of positive, neutral, and negative words and phrases from all of your reviews on Google and Facebook.

Customer Sentiment Word Cloud

In the image above, green is positive, grey is neutral, and red is negative.

You can easily see what your customers like about your place of business, and what could use improvement. For instance, using the example above, you can see that customers enjoy your food, but are frequently upset by your limited parking and long wait times.

Respond To All Reviews

It is also very important that you respond to your reviews to help build positive customer sentiment.

If a review is great, thank the reviewer and tell them you hope to see them again soon. If the review is positive, but not glowing, try to see if you can spot something that would have made their experience better.

Responding to negative reviews is also very important. Your response to a negative review can actually influence and impress potential future customers.

Make sure to respond in a positive tone and provide an effective solution to the issues that caused the negativity.

This shows that you are actively listening to your customers and that you commit yourself and your company to making things better. Make sure and take action to resolve the issue.

These are just a few examples of using customer reviews to make your customer experience and sentiment better – the options are endless.

By monitoring and evaluating customer sentiment, and then taking action based on it, you can keep your restaurant top-of-mind of your local consumers, build that five-star reputation, and watch your business grow.

Improve Customer Sentiment Using Ratings and Reviews

FREQUENTLY ASKED QUESTIONS

Common Questions About Restaurant Marketing

Restaurant marketing is the process of getting people to visit your restaurants. Restaurant marketing creates loyalty, provides data to research, analytics, and allows restaurants to gain a better understanding of their ideal customer profile. It utilizes all customer channels: guest WiFi, website, social, rating sites, mobile apps, email, text, and advertising.

WiFi marketing is a marketing technique that uses guest WiFi to collect & clean customer data such as names, emails, phone numbers, customer behavior, and demographics. This data is used to personalize marketing campaigns to increase customer loyalty, build online reviews, and save at-risk customers. The performance of every campaign can be tracked down to the tangible ROI of a customer walking back in your door.

Restaurant reputation management is the process for restaurants to manage customer feedback and creating systems to improve customer experiences, passively build positive online reviews, and save at-risk customers. It is a very important aspect of running a successful restaurant business.

A restaurant customer data platform (CDP) is a unified software system that collects, consolidates, and activates guest data from multiple sources including WiFi networks, POS systems, online ordering platforms, reservation systems, websites, loyalty platforns, event platforms, and review sites. Unlike generic CDPs built for e-commerce or SaaS companies, restaurant CDPs are purpose-built to handle restaurant-specific data sources and create actionable guest intelligence that drives personalized marketing, operational improvements, and revenue growth automatically.

Bloom Intelligence uses machine learning to identify at-risk customers. When one is recognized, the system will send them a message with an incentive to get them to return and re-establish their visit pattern. Bloom users are seeing up to 37% of churning customers return.

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