- Ashwini Shejwal
- Mar 15, 2025
- 2 min read
Introduction
For young professionals aiming to enter hotel revenue management, understanding the datasets and key metrics used daily is essential. Revenue managers rely on structured data to make strategic decisions that maximise profitability, occupancy, and guest satisfaction. But what specific headers and reports do they work with?
In this post, we’ll explore the core datasets and the essential Excel sheets that revenue managers keep at hand to optimise revenue.
Breaking Down Essential Revenue Management Data
Revenue managers deal with multiple datasets, each serving a unique function. Let’s look at the most commonly used headers in their reports and how they help drive revenue optimisation.
1. Booking Trends Report
Purpose: Analysing historical booking patterns to predict future demand.
Key Headers:
Date - Daily tracking of booking activity
Hotel Occupancy (%) - How full the hotel is
Rooms Booked - Total confirmed reservations
Lead Time (Days Before Check-in) - How early guests book
ADR (Average Daily Rate) - Revenue per booked room
Booking Channel - Direct, OTA, Corporate, Walk-in
2. Customer Segmentation Report
Purpose: Identifying guest behaviors and spending patterns to tailor pricing and promotions.
Key Headers:
Guest ID - Unique identifier for tracking repeat guests
Stay Duration (Nights) - How long guests stay
Total Spend - Revenue per guest
Booking Source - Website, OTA, Travel Agent
Room Type - Standard, Deluxe, Suite
Discount Applied (%) - Tracking promotional impact
Purpose of Travel - Business, Leisure, Group
3. Competitive Analysis Report
Purpose: Monitoring competitor pricing and demand trends.
Key Headers:
Hotel Name - Competitor tracking
Date Daily - market comparison
Room Type - Standard, Deluxe, Suite
Competitor ADR - Competitor pricing insights
Market Occupancy (%) - Overall industry demand
Demand Level - (High, Medium, Low) Market conditions
4. Seasonality & Events Report
Purpose: Adjusting pricing based on peak seasons, local events, and holidays.
Key Headers:
Month - Tracking seasonal changes
Major Events/Festivals - High-impact demand drivers
Hotel Occupancy (%) - Effect of seasonality on demand
ADR - Price adjustments during peak times
Demand Index (0-100 Scale) - Measuring demand levels
Competitor Pricing - Seasonal rate comparisons
5. Revenue Forecasting Report
Purpose: Predicting future occupancy and revenue to optimize pricing strategies.
Key Headers:
Date - Forecasting on a daily, weekly, or monthly basis
Projected Occupancy (%) - Predicted room demand
Expected ADR - Anticipated pricing levels
Revenue Per Available Room (RevPAR) - Key revenue metric
Forecasted Demand (%) - Predicted market demand
Adjusted Pricing Strategy - Increase, Decrease, No Change
Additional Excel Sheets Revenue Managers Use
To manage their responsibilities efficiently, revenue managers maintain supplementary reports such as:
Daily Pickup Report – Tracks new bookings and cancellations per day.
Market Segmentation Report – Analyses guest types (business, leisure, group).
Rate Parity Report – Ensures pricing consistency across OTAs.
Discount & Promotion Tracker – Evaluates the impact of special offers.
KPI Dashboard – A summary of RevPAR, ADR, Occupancy, and GOPPAR.
Conclusion
Revenue management is all about making data-driven decisions. For young professionals, understanding these datasets and designing reports with automation is crucial for building a successful career in hotel revenue optimisation.
Stay tuned for our next post in the Crafting Experiences series, where we’ll explore another vital role in the hospitality industry!
🔔 Follow this series to learn more about how data and design shape careers in the travel industry!