hotel booking cancellation. #data set used.
Hotel Booking Cancellation Analysis Executive Summary This report analyzes hotel booking data to identify key trends and factors influencing booking cancellations. The analysis is based on aggregated data from a hotel booking dataset, examining cancellations by guest type, hotel type, room assignment, and month.
Key findings indicate that the cancellation rate is significantly higher for City Hotels compared to Resort Hotels. Additionally, bookings made by couples show the highest cancellation rate among guest types. The data also reveals that the majority of cancellations occur for bookings where the desired room was successfully assigned. From a temporal perspective, the summer months (June, July, August) experience the highest number of bookings, with June showing the highest cancellation rate.
The findings suggest that a focus on strategies to reduce cancellations at City Hotels, particularly for bookings made during peak seasons, could significantly improve overall revenue and resource management.
Detailed Analysis Cancellation by Hotel Type The analysis of cancellations by hotel type reveals a notable difference between City Hotels and Resort Hotels.
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City Hotel:
Total Bookings: 79,330
Cancelled Bookings: 33,102
Cancellation Rate: 41.73%
Resort Hotel:
Total Bookings: 40,060
Cancelled Bookings: 11,122
Cancellation Rate: 27.76%
The data clearly shows that City Hotels have a significantly higher cancellation rate, over 14 percentage points higher than Resort Hotels. This difference could be attributed to factors such as business travel fluidity, last-minute changes in plans, or more competitive pricing in urban areas.
Cancellation by Guest Type Examining guest types provides insight into which customer segments are most likely to cancel their bookings.
Couples:
Total Guests: 81,560
Cancelled Bookings: 32,424
Cancellation Rate: 39.75%
Family:
Total Guests: 15,253
Cancelled Bookings: 5,245
Cancellation Rate: 34.38%
Single:
Total Guests: 22,577
Cancelled Bookings: 6,555
Cancellation Rate: 29.03%
Couples have the highest cancellation rate, while single guests have the lowest. This suggests that marketing and promotional strategies aimed at reducing cancellations should be specifically tailored to the couples segment.
Cancellation by Room Assignment Status The dataset provided also includes information on whether the assigned room type matched the desired room type. Based on the provided data, we can analyze the number of cancellations for each status.
Desired Room Assigned:
Cancelled Bookings: 43,422
This category accounts for the overwhelming majority of all cancellations, suggesting that even when guests receive the room they requested, other factors are driving the cancellation.
Undesired Room Assigned:
Cancelled Bookings: 802
A very small number of cancellations occurred when a guest was assigned an undesired room. This indicates that a room upgrade or a correct room assignment does not necessarily prevent a cancellation, but a mismatched room assignment is not a primary driver of cancellations in this dataset.
Monthly Cancellation Trends Analysis of monthly booking data reveals seasonal patterns in both total bookings and cancellations.
June, July, and August are the peak booking months, with the highest total guest counts.
June has the highest cancellation rate at approximately 41.46%.
January has the lowest cancellation rate at approximately 30.48%.
The higher cancellation rates during the summer months could be linked to increased travel, more flexible plans, or a higher volume of speculative bookings.
Visual Summary of Findings The key findings of this report are visually summarized in the accompanying dashboard. The dashboard features several key charts:
A bar chart showing total and canceled bookings by hotel type, visually confirming that City Hotels have a higher number of cancellations.
A bar chart illustrating total guests and cancellations by guest type, clearly showing that couples are the largest group and have the most cancellations.
A line chart that plots bookings and cancellations over a monthly timeline, highlighting the peak season in the summer and the corresponding high number of cancellations.
These visualizations provide a quick, at-a-glance overview of the data and reinforce the conclusions drawn in the detailed analysis.
Recommendations Based on the analysis, the following recommendations are suggested to help mitigate booking cancellations:
Targeted Campaigns: Develop specific promotional offers or communication campaigns for bookings made at City Hotels, particularly during peak seasons, to incentivize guests to keep their reservations.
Flexible Booking Options: Offer different booking tiers with varying cancellation policies. For example, a non-refundable rate at a lower price could appeal to a more committed guest segment.
Enhanced Guest Engagement: Implement a pre-arrival communication strategy for high-risk bookings (e.g., City Hotels and Couples) to re-confirm details and build rapport.
Leverage Room Assignment Data: While room mismatches are not a primary driver of cancellations, ensuring prompt and accurate room assignments remains crucial for a positive guest experience.
Conclusion Hotel booking cancellations represent a significant challenge for hotel management. The data analysis in this report highlights that cancellations are not uniform across all segments. By focusing on high-risk areas—specifically City Hotels, the couples segment, and the summer months—hotels can develop targeted strategies to reduce cancellations and improve overall occupancy and revenue. The provided data serves as a solid foundation for further, more granular analysis.