Owning or running a restaurant can be a daunting task with a myriad of decisions that require the careful consideration of numerous factors, such as local trends, consumer preferences, and competition. To assist in navigating the foodservice industry, account-based data tools have been developed for delivering up-to-date, comprehensive, and actionable insights. Brizo is one such technology that allows for more targeted research and observation in the foodservice market with menu data, restaurant tech coverage, and data-driven sales and marketing strategies. With these features highlighted, this article thoroughly examines the strengths and limitations of account-based data tools for restaurants and how businesses can best utilize them to maximize their success.
Pros of Account-Based Data Tools for Restaurants
Data-Driven Sales Prospecting: By equipping sales teams with the proper data-driven tools, restaurants can observe trends in consumer buying behaviors for their products and services, making more informed decisions on pricing and expansion opportunities. Such insights will also strengthen customer loyalty and help build relationships with partners in the industry.
Marketing to the Foodservice Market: Collected data and insights can help ensure that promotional messages are read by the right audiences, sent at the right times, and contain just the right content to increase response metrics. This has become even more important with the increasing competition in the foodservice market for consumer attention.
Find Kitchens & Expand Operations: With data-enriched systems, restaurants have access to industry-specific intelligence. This allows them to make decisions about the best brand locations, pipelines of raw materials, and other production efficiencies.
Cons of Account-Based Data Tools for Restaurants
Costly Software: Data tools for restaurants often have a steep upfront cost due to their advanced software and access to comprehensive data sets. Furthermore, not all restaurants will need data tools to the same degree, which means that investments may not be practical for some.
Data Quality & Security: With great power comes great responsibility. Every platform must consider data quality and security when handling datasets. Issues such as data accuracy, an overreliance on algorithms, and malicious actors must all be taken into account.
Time & Resources: Most data tools involve a learning curve of some sort, meaning people will need to be trained in their use. Furthermore, it takes time to analyze and apply the data, making the entire process that much slower.
Lastly
Account-based data tools for restaurants have the potential to significantly increase success, so long as they are implemented carefully and complemented by old-fashioned hard work. From sales and marketing to the expansion of production, restaurants stand to benefit significantly from the latest in data-driven intelligence. However, it is important to be aware of the associated costs and potential pitfalls that any restaurant using account-based data tools may encounter.