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Airline Revenue Management
This is the airline's strategy to maximize income from each flight.
Seat Inventory
Pricing
Demand Forecasting
These are the three components of airline revenue management. (3-SPD)
Revenue = Number of Seats Sold × Average Fare
This is the formula for calculating airline revenue.
Load Factor
This is the percentage of available seats occupied by passengers.
Passenger Ticket Sales
Ancillary Services
Cargo Services and Charter Flights
Frequent Flyer Partnerships and Travel Packages
Advertising, Leasing, and Other Airline Services
These are the main sources of airline revenue listed in the module. (5-PAC-FA)
Baggage
Meals
Wi-Fi
Seat Selection
These are examples of ancillary services listed in the module. (4-BM-WS)
Ancillary Revenue
This is revenue earned from optional services beyond the base fare.
Yield Management
This involves selling the same seat at different prices to different passenger segments.
Dynamic Pricing
This refers to changing prices based on demand, booking time, seasonality, competition, and customer behavior.
Demand
Booking Time
Seasonality
Competition
Customer Behavior
These are the factors affecting dynamic pricing. (5-DBS-CC)
Low Fare
Mid Fare
High Fare
These are the three fare levels used in the module. (3-LMH)
Low Fare
This fare level is associated with early bookings and price-sensitive tourists.
Mid Fare
This fare level is associated with standard demand and regular travelers.
High Fare
This fare level is associated with last-minute demand and business or urgent travelers.
Leisure Travelers
Business Travelers
Visiting Friends/Family
These are the three passenger segments listed in the module. (3-LBV)
Book Early
Price-Sensitive
Flexible Dates
These are the characteristics of leisure travelers. (3-EPF)
Book Late
Time-Sensitive
Value Convenience
These are the characteristics of business travelers. (3-LTC)
Seasonal Demand
Promo-Sensitive
Often Domestic Routes
These are the characteristics of passengers visiting friends or family. (3-SPD)
Early-Bird Promo
This strategy is suitable for leisure travelers who book early.
Demand Forecasting
This process estimates future bookings using past data and current signals.
Season
Holidays
Events
Route History
Current Booking Pace
These are the factors considered in demand forecasting. (5-SHE-RB)
Peak Season
This is the period of high travel demand associated with holidays, festivals, school breaks, and major events.
Lean Season
This is a period of lower demand and more promotional fares.
Typhoons
Pandemics
Fuel Shocks
Travel Restrictions
These are examples of disruptions that can change airline demand quickly. (4-TP-FT)
Demand Level
Booking Timing
Passenger Type
Competition
Route Popularity
Fuel Prices
Economic Conditions
Regulation
Global Events
These are the factors affecting airline pricing listed in the module. (9-DBP-CRF-ERG)
Ancillary Revenue
This is revenue earned when a passenger pays for an optional service such as baggage, meals, or seat selection.
Bundling
This involves combining services into a package to compete without reducing the base fare too much.
Baggage
Meals
Seat Selection
Priority Boarding
Insurance
These are examples of ancillary services beyond the base fare. (5-BMS-PI)
Competition and Route Pricing
This occurs when a low-cost competitor pressures a full-service airline to adjust its price or add value.
Limited Promotions
Bundles
Service Differentiation
These are possible responses to a low-cost competitor. (3-LBS)
Capacity
This means the number of available seats on a flight.
Aircraft Size
Flight Frequency
Fare Availability
These are the ways airlines may adjust capacity based on demand. (3-AFF)
Overbooking
This occurs when an airline accepts more bookings than the number of available seats.
To Reduce Empty Seats Caused by No-Shows
This is one reason airlines may overbook flights.
Denied Boarding
Customer Dissatisfaction
These are the risks of overbooking. (2-DC)
Transparency
Passenger Rights
Service Recovery
These are the considerations for fairness and customer trust in revenue management. (3-TPS)
Unclear Fees
Extreme Price Jumps
These are the issues that can damage brand trust. (2-UE)
Maximize Revenue While Maintaining Fairness, Service Value, and Passenger Trust
This is the main goal of airline revenue management.
Demand Forecasting
Passenger Segmentation
Fare Buckets
Dynamic Pricing
These are the four concepts connected in the module's synthesis diagram. (4-DP-FD)
Demand
Timing
Seat Availability
These are the factors that explain why two passengers on the same flight may pay different fares. (3-DTS)
Promotional Pricing
This is the strategy used when an airline offers lower promotional fares during periods of low demand.
Fare Bucket
This refers to the group of seats offered at a specific fare level.
This is the process of deciding how many seats to sell at each fare level.
Capacity Management
Dynamic Pricing
This strategy allows airlines to react quickly to changing market conditions.
Suspend Unsafe Operations and Offer Refunds or Rebooking
This is the approach that balances revenue, safety, and customer trust during a typhoon disruption.
Increase Revenue Beyond Ticket Sales
This is the main purpose of ancillary services and bundling.
Business Travelers
This is the passenger segment most associated with last-minute bookings and time-sensitive travel.
Leisure Travelers
This is the passenger segment most associated with early bookings, price sensitivity, and flexible travel dates.
Promotional Pricing
This is the pricing strategy that offers promotional fares to attract demand during the lean season.
Booking Timing
This is the factor that refers to how close a booking is to the flight's departure date.
Route Popularity
This is the factor that refers to the popularity of the route when determining airline prices.
Fairness and Customer Trust
This is the principle that prevents airline revenue management from focusing only on profit.