Top 10 Considerations for Restaurant Content Analytics App

Restaurant Content Analytics App

As data providers look to better understand and research food data trends across regions and sectors, content analytics apps provide an invaluable opportunity to uncover valuable insights. Content analytics apps allow restaurants to equip their sales teams with data-driven insights, and create more targeted marketing campaigns to optimize operations and expand their brand.

But before diving in to make use of the analytics of such an app, there are a number of things to consider to ensure the best results, and maximize one’s return on investment for the app. In this article, we will discuss the top 10 aspects for restaurant technology providers to take into account when considering a content analytics app.

First and foremost, it is important to consider the data sets offered by a content analytics app. Different apps will offer different levels of coverage with regards to menu data and restaurant tech information, so it is important to ensure that the data you are aiming to access will be available. Different apps also provide unique data fields that are specific to the foodservice industry, so it is important to ensure that the app matches the needs of the particular restaurant.

Second, the app should support research and prospecting efforts in the foodservice industry. More comprehensive market insights will enable greater confidence in making decisions, and such access should be included in the basic plan. Additionally, the app should enable the streamlining of production innovation and provide assistance in strategically expanding the brand.

Third, one should consider the capability of the app to provide sales intelligence and competitive intelligence. Sales intelligence should be able to uncover leads with remarkable speed, while competitive intelligence allows restaurants to better understand market trends, and uncover one’s competitors.

Fourth, the app should provide marketing intelligence that can optimize campaigns and target with unattainable market insights. The focus here should especially be on how the app can directly contribute to a restaurant’s success from customer acquisition, engagement and retention.

Fifth, the app should provide sufficient scalability for a restaurant to advance the use of its data, and to discover insights beneficial on a more local level, rather than generalized insights. This includes data that can provide a more in-depth view of one’s local customers and markets.

Sixth, the app should providefor a comprehensive dashboard that can assist in uncovering data insights, while keeping in mind the different stakeholders involved in the restaurant’s operations.

Seventh, the app should enable data-driven decision making capabilities that lead to greater efficiency. This includes the capability to run a variety of data analytics tasks and tests with precise control and reliable monitoring.

Eighth, the app should support the development process for new restaurant products. This includes the ability to test the products’ viability in the market and discover customers’ needs before the products launch.

Ninth, consider how a content analytics app can compare to the existing workflow. For example, how does the app help reduce manual entry or other processes that have been proven to be time consuming?

Lastly, look into the customer service options that the app has to offer. This should cover not only the app’s support services, but also the amount of onboarding and training available.

Understanding the top 10 considerations for a content analytics app is beneficial for any restaurant technology provider looking to get the most out of their investment in this type of app. Such considerations can have a major impact on the ability to uncover meaningful data insights, customer acquisition, and operations.