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Looking to boost your restaurant’s visibility and attract more guests? You’ve in the right place.
Below you’ll find comprehensive guides for launching effective marketing campaigns tailored specifically for you. These step-by-step instructions will help you create those compelling automated campaigns that resonate with your best guests.
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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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