Which two key attributes can a hotel chain analyze to understand high-value customers after integrating their data?

To understand high-value customers, analyzing Length of Stay and Average Price per Night is particularly insightful. Length of Stay provides valuable information regarding how long customers choose to stay at the hotel, which can correlate with their spending habits and preferences. A longer stay may indicate a higher level of satisfaction or the potential for increased spending on services such as dining and room upgrades.

Average Price per Night gives insight into the level of investment a customer is willing to make for their accommodation. It reflects the customer's budget and purchasing power, as well as their willingness to pay for premium services or amenities. Together, these attributes help the hotel chain identify patterns among their most lucrative guests and tailor marketing efforts or loyalty programs to enhance engagement and increase profitability.

The other options, while relevant to customer analysis, do not provide as clear a direct correlation with high-value customers. For instance, Frequency of Bookings and Number of Guests can indicate loyalty or popularity, but they may not directly reflect the value contributed in a financial sense. Similarly, Customer Feedback Ratings and Loyalty Membership are more focused on customer experience and engagement rather than direct company revenue implications. Booking Source and Payment Method are important for understanding customer behavior, yet they are not as inherently linked to the value the guests bring to the hotel chain.