As a product manager, when improving the customer module of your restaurant management system, there are several customer-related analytics that users might find useful. Here are a few ideas:
1. Customer demographics: This type of analytics would provide insights on the age, gender, and location of customers, which can help businesses better understand their target audience and tailor their marketing efforts accordingly.
2. Customer satisfaction ratings: It's essential to know whether your customers are happy with your restaurant or not. You can collect this data through surveys, and the results can be used to make necessary improvements to your restaurant's offerings, customer service, and overall experience.
3. Sales by customer: By tracking how much each customer spends at your restaurant, you can determine who your most valuable customers are and what they are interested in. This information can be used to personalize marketing campaigns, loyalty programs, and promotional offers.
4. Customer behavior: Analyzing customer behavior data can help you understand how customers interact with your restaurant, including how frequently they visit, what they order, and what time of day they typically dine in. This information can be used to optimize your menu, staffing, and operations.
5. Social media engagement: Analyzing social media engagement data can provide valuable insights into how customers are talking about your restaurant online. This information can be used to monitor your reputation, identify potential issues, and respond to customer feedback in a timely and effective manner.
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