Sure, I can do that for you. Here are the prioritized list and key attributes for each customer-related analytics:

Customer satisfaction ratings:
Key attributes: Overall satisfaction score, satisfaction score by service areas, satisfaction score by dish or menu items, comparison with industry benchmarks, customer feedback and comments.
Sales by customer:
Key attributes: Total sales by customer, average spend by customer, frequency of visits by customer, customer lifetime value, customer segmentation based on sales data.
Customer behavior:
Key attributes: Average time spent at the restaurant, peak dining hours, popular dishes or menu items, repeat vs. new customers, customer churn rate.
Customer demographics:
Key attributes: Age range of customers, gender distribution, location-based analytics, household income level, education level, occupation.
Social media engagement:
Key attributes: Total mentions, sentiment analysis of mentions, engagement rate by social media channel, comparison with competitors, top influencers or advocates, negative reviews or comments and their resolution.
These key attributes can be used to develop various analytics dashboards or reports to help restaurants better understand their customers and make data-driven decisions to improve their business performance.
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