Hotel Chains Dashboard in Excel is a five-page workbook that shows where a group of hotel brands makes its revenue and profit across brands, booking channels, guest segments and regions. The overview of the sample data reports $396.9K total revenue, $139.4K net profit, 1.7K room nights, a $179.98 average daily rate and a 4.1 average guest rating at a 35.1% profit margin. These are fictional sample figures. Replace them with your own bookings, click Refresh All and the whole dashboard updates.
Watch the Hotel Chains Dashboard in Excel walkthrough
Key Features of the Hotel Chains Dashboard in Excel
The workbook is a plain .xlsx file built with pivot tables, pivot charts and slicers. It needs no macros and no add-ins, so it opens in desktop Excel on any computer. Every page carries the same six slicers, which makes it a practical hotel dashboard Excel users can filter without building pivot tables themselves.
- Six headline numbers: Total Revenue, Net Profit, Total Room Nights, Avg. Daily Rate, Avg. Guest Rating and Profit Margin %
- Year, Month, Booking Channel, Hotel Brand, Region and Room Type slicers connected to all five pages
- Profit margin and average daily rate for six example hotel brands
- Revenue, profit, daily rate and loyalty member stays for five booking channels
- Room nights and positive review % by loyalty tier, revenue and rating by guest segment
- Revenue by state, review rate by region and revenue vs operating cost by region
- 500 sample bookings included so every chart works on first open
Dashboard Pages Explained
Overview
The landing page answers the first questions a group manager asks: how much did we earn, how much did we keep, how many room nights did we sell and at what rate. It adds Profit Margin % by State, Total Room Nights by Booking Channel, a Profit Margin % gauge and Total Revenue vs Net Profit by Month.
Brands
Brands shows Profit Margin % by Hotel Brand, Total Room Nights by Room Type, Total Revenue vs Operating Cost by Room Type and Avg. Daily Rate by Hotel Brand. It is the page to open when you want to see which brand charges the highest rate and which one keeps the most of its revenue.
Channels
Compare Total Revenue vs Net Profit by Booking Channel, Avg. Daily Rate by Booking Channel, Loyalty Member Stays by Booking Channel and Total Room Nights by Month. It shows how Online Travel Agency, Direct Website, Corporate Contract, Mobile App and Travel Agent bookings differ in volume and rate.
Guests
This page covers Total Room Nights by Loyalty Tier, Positive Review % by Loyalty Tier, Total Revenue by Guest Segment and Avg. Guest Rating by Guest Segment. It helps a guest experience team see whether Platinum and Gold members really rate their stays higher than non-members.
Regions
Regions tracks Total Revenue by State, Positive Review % by Region, Total Revenue vs Operating Cost by Region and Profit Margin % by Month for the Midwest, Northeast, South and West.
How This Compares With Other Options
| Consideration | This Excel dashboard | PMS or revenue management software | Power BI report |
|---|---|---|---|
| Cost model | One-time template | Usually a subscription | Desktop file plus licensing where needed |
| Best for | Reviewing revenue, profit and reviews from your own data | Reservations and daily operations | Larger connected data models |
| Interactive filters | Six Excel slicers | Vendor-dependent | Report slicers |
| Live PMS connection | Not included | Built in | Needs set-up |
| Reservations and billing | Not included | Included | Not included |
Who Should Use This Hotel Performance Dashboard
Owners and managers of small hotel groups, regional revenue managers, hospitality analysts and consultants who already export bookings from a property management system or channel manager will get the most from this hotel performance dashboard. It is a hotel dashboard template for analysis. It is not a property management system, a booking engine or a billing tool, and it does not connect to a PMS.
How to Use the Dashboard
- Download and unzip the package, then open the workbook in desktop Microsoft Excel.
- Keep an untouched copy of the sample file.
- Paste your own bookings into the Data sheet using the existing columns.
- Click Data, then Refresh All.
- Use the six slicers to filter all five pages, and check totals against your source records.
The workbook is easiest to review once a month. Start on Overview, then move through Brands, Channels, Guests and Regions. Keep brand, channel and region names consistent in the Data sheet so that a brand does not split into several chart entries.
Explore Relevant Templates
For a month-by-month KPI view, see the Hotel Chains KPI Dashboard in Excel. Compare the Hotel Revenue RevPAR Dashboard in Excel, the Hotel and Hospitality Revenue Dashboard in Excel and the Boutique Hotels Dashboard in Excel.
Frequently Asked Questions
Does it need macros or add-ins?
No. It is a standard .xlsx workbook with pivot tables, pivot charts and slicers.
Can I use my own hotel booking data?
Yes. Paste your bookings into the Data sheet using the existing columns and click Refresh All.
Which slicers are included?
Year, Month, Booking Channel, Hotel Brand, Region and Room Type.
Does it take reservations or connect to a PMS?
No. It analyses booking data you add. It does not take reservations and does not connect to a property management system.
Is the sample data real?
No. The bookings, hotel brands and figures are fictional examples.
Where can I get the workbook?
See the product page on NextGenTemplates.
About the Author
Built by PK, Microsoft Certified Professional with 15+ years of Excel, Google Sheets, and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels. Every template is hand-built and tested before release.
Conclusion
The Hotel Chains Dashboard in Excel gives a hotel group a clear, repeatable way to review revenue, profit, brands, channels, guests and regions in five pages. Treat the sample values as illustrative, add your own bookings and reconcile the totals. See the screenshots and download details on NextGenTemplates. For more Excel guidance, follow PK: An Excel Expert on YouTube.
