I assume you are referring to the customer-related analytics mentioned in the previous question. Here is a prioritized list of key attributes for each:

Customer behavior:
Frequency of visits
Time spent in the restaurant
Average ticket value per customer
Feedback analysis:
Common customer complaints
Areas for improvement
Customer sentiment
Sales trends:
Total number of customers
Total sales revenue
Average revenue per customer
Customer demographics:
Age
Gender
Location
Loyalty analysis:
Frequency of repeat customers
Average customer lifetime value
Customer loyalty and retention rates
Note that this prioritized list is not definitive, as the specific needs of your users and their businesses will vary. However, in general, analyzing customer behavior, feedback, and sales trends is crucial for understanding and optimizing a restaurant's operations and growth. Demographic data and loyalty analysis can provide additional insights into the target audience and customer base
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