AeroTime columnist Ann Cederhall, an IATA instructor on Airline Distribution Strategy and Aeroclass expert on Airline Retailing, highlights a critical gap in airline operations: revenue effectiveness. This metric, more impactful than RASK or CASK, measures the gap between forecasted and optimal revenue, potentially leaving $2 billion on the table for airlines predicting $10 billion in revenue.
Cederhall questions the profitability of New Distribution Capability contracts, Special Prorate Agreements, codeshares, and GDS deals, often managed via spreadsheets rather than precise data. She recalls reviewing over 30 codeshare deals at an airline, finding only three profitable, with others deemed ‘strategic’ losses.
Key unmeasured areas include forecasting gaps between network planning, revenue management, and point-of-sale actions; yield dilution from SPAs and codeshares; alliance contributions; unmanaged GDS performance; cargo-passenger-fuel weight tradeoffs; overlapping sales incentives; and inaccurate Customer Lifetime Value modeling for passenger segments.
Historical silos persist, with fragmented data complicating profitability analysis. Cederhall notes QuadOptima’s revenue effectiveness metric, using microsegments to pinpoint incremental revenue at booking level, promising billions for medium and large airlines.
AI now enables holistic views across revenue management, sales, and planning, transcending silos for transparent experiments and optimizations. This unsexy topic underpins sustainable profitability for airlines, TMCs, and OTAs alike.