• Restaurant Marketing

Quantitative vs. Qualitative A.I. in Restaurant Marketing

by: Allen Graves
4 min read

In the world of restaurant marketing, businesses often rely on both qualitative and quantitative data to make informed decisions.

Qualitative data is subjective and focuses on understanding guest experiences and opinions, while quantitative data is objective and focuses on numerical analysis of guest behavior.

With the advent of artificial intelligence (AI), restaurants now have access to powerful tools that can analyze both types of data at scale.

Quantitative AI involves using machine learning algorithms to process and analyze large amounts of numerical data, while qualitative AI involves natural language processing to analyze and understand text-based data such as reviews and feedback.

By combining quantitative and qualitative AI, restaurants can gain a more comprehensive understanding of their guests, enabling them to make better-informed decisions about their marketing and operations strategies.

quantitative and qualitative AI

Quantitative AI in Restaurant Marketing

Quantitative AI in restaurant marketing refers to the use of machine learning algorithms to analyze large amounts of numerical data. This can include data such as sales figures, website analytics, guest behavior, and customer demographics.

By analyzing this data, restaurants can gain insights into their guests’ behavior and preferences, allowing them to make data-driven decisions about their restaurant marketing strategies.

One example of quantitative AI in restaurant marketing is predictive analytics. By using machine learning algorithms to analyze historical sales data, restaurants can predict guest visit patterns and understand when a guest may be churning, or at risk of not returning.

Then, using an automated marketing platform, messages can be sent to those guests luring them into coming back to your location, or ordering online, to re-establish their visit pattern.

Another example of quantitative AI in restaurant marketing is customer segmentation.

By using clustering algorithms to group customers based on similar characteristics such as age, location, and spending habits, restaurants can create targeted marketing campaigns for each segment.

This allows them to deliver more personalized marketing messages that are more likely to engage the guests and get them to return.

Overall, the use of quantitative AI in restaurant marketing has the potential to improve operational efficiency and profitability while also enhancing the guest experience by delivering more personalized marketing messages.

As AI technology continues to evolve and become more sophisticated, its role in restaurant marketing is likely to expand even further.

quantitative AI Data

Qualitative AI in Restaurant Marketing

Qualitative AI in restaurant marketing refers to the use of natural language processing (NLP) algorithms to analyze and understand text-based data such as guest reviews, feedback, and first-party surveys.

By analyzing this data, restaurants can gain insights into guest sentiment, opinions, and preferences, allowing them to make data-driven decisions about their marketing and operations strategies.

One example of qualitative AI in restaurant marketing is customer sentiment analysis. By using NLP algorithms to analyze customer reviews and survey responses, restaurants can determine the overall sentiment toward their brand.

This allows them to not only identify areas for improvement but to reinforce what is already working well. This can help restaurants to make changes to their operations and marketing strategies in order to improve overall guest satisfaction and loyalty.

Another example of qualitative AI in restaurant marketing is something known as “topic modeling.” By using NLP algorithms to identify recurring topics and themes in guest feedback, restaurants can gain insights into the most important issues affecting their guests.

This can help them to prioritize their efforts and make changes that are most likely to have a positive impact on the guest experience.

Overall, the use of qualitative AI in restaurant marketing has the potential to improve the guest experience by helping restaurants to better understand their patrons’ needs and preferences.

As AI technology continues to evolve and become more sophisticated, its role in restaurant marketing is likely to expand even further, enabling restaurants to deliver even more personalized and effective marketing messages.

qualitative AI Data

In Conclusion

Artificial intelligence (AI) is revolutionizing the way restaurants approach marketing. With the advent of AI, restaurants can now analyze guest data to gain insights into their preferences and behaviors.

This allows for the creation of more targeted and personalized marketing campaigns that are more likely to resonate with guests.

Additionally, AI can help restaurants optimize their operations by predicting demand and optimizing pricing, resulting in improved profitability.

As AI technology continues to evolve and become more accessible, restaurants are expected to increasingly adopt AI-powered marketing techniques to remain competitive in an ever-changing industry.

Discover Bloom Intelligence

Keeping a focus on guest satisfaction, customer sentiment, and online ratings and reviews using AI-driven tools can boost the visibility and reputation of your restaurant, helping you drive new guests into your restaurant – all while saving time and lowering marketing costs.

Call us or schedule a free demo online and Bloom will show you how our restaurant marketing and customer data platform can help you save time and increase your customer lifetime values by automatically building first-party customer databases, unlocking important guest insights to trigger marketing at the right time and place, discover true guest sentiment, save at-risk guests, increase your current guests’ frequency, and find new guests.

Click Here to Schedule a Free Online Demo or call Click To Call 727-877-8181 to see how we can help you save time and drive tangible results for your restaurants

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Restaurant Marketing FAQs

What is 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.

Learn More About Restaurant Marketing Here

What is WiFi Marketing?

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.

Learn More About WiFi Marketing Here

What is Restaurant Reputation Management?

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.

Learn More About Restaurant Reputation Management Here

How Does Bloom Identify and Bring Back Lost Customers?

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.

Learn More About Saving At-Risk Customers Here

SAVE TIME, INCREASE CUSTOMER LIFETIME VALUES, CREATE NEW CUSTOMERS

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Austin Eggleston
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“I highly recommend restaurants, dental/medical offices, and other businesses look into Bloom Intelligence as 1) their marketing technology is very powerful and 2) their team is AWESOME. As a marketing agency, Bloom has helped several of our clients grow their businesses via building their database and re-targeting them at the right time. Thanks Again!”

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“We’re extremely pleased with the wealth of customer data that we’re able to gather, at a very attractive price.  In addition, we’re able to communicate our new product promotions by using  the landing page as a digital billboard.  A “no-brainer” for anyone working with limited Marketing $$.”

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Atlanta Bread Company

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They go above and beyond to make sure our team and customers stay connected while helping us with our marketing efforts.”

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