The Impacts Of Airline Loyalty Programs On Revenue Management Optimization
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The Impacts Of Airline Loyalty Programs On Revenue Management Optimization
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Author : Juan Pablo García Saavedra
language : en
Publisher:
Release Date : 2017
The Impacts Of Airline Loyalty Programs On Revenue Management Optimization written by Juan Pablo García Saavedra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Loyalty Programs have evolved over years turning into unique business units, responsible for producing an important source of revenue for airlines. However, despite their contribution to the business, the lack of knowledge on the impacts of giving away rewards to loyal customers may lead to suboptimal decisions, harming bottom line results. The main objective of this thesis is to develop a methodology to model and measure the net revenue impacts of award passengers as they integrate to current airline revenue management optimization practices. By modeling an award demand using the Passenger Origin Destination Simulation tool, it was possible to understand the impacts on airlines' main metrics compared to an environment without these passengers, and to define a baseline scenario based on current airline industry data, to analyze the impacts of different RM strategies. A methodology was proposed to identify and quantify three main effects seen when allowing award passengers into the current RM optimization. The Award Revenue accounts for the economic benefit for the airline of each award passenger. Displaced Revenue is the ticket revenue loss due to the displacement of paid passengers. And, the Sell Up effect measures the change in average paid fare as a result of the introduction of this new demand. Differences between the real economic benefit to the airline of award passengers and the value that the RM optimizer uses for assigning their availability were introduced to measure the net award revenue impact. Results showed that at award valuations higher than the lowest fare, airlines are able to increase their total revenues due to higher award revenue and lower displaced ticket revenue. This outcome was consistent for all RM Schemes and demand levels examined.
The Effect Of Dynamic Pricing And Revenue Management On Agent Behavior And Customer Perception
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Author : Xingwei Lü
language : en
Publisher:
Release Date : 2018
The Effect Of Dynamic Pricing And Revenue Management On Agent Behavior And Customer Perception written by Xingwei Lü and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
My dissertation extends the traditional fields of revenue management and dynamic pricing to newer markets. Specifically, my first two chapters explore the revenue management strategies and their impacts in the airline industry in the presence of loyalty programs. The first chapter solves the optimal revenue management algorithms when the firm is rewarding frequent customers with free capacity. Using a game-theoretic Littlewood model, we show that limiting award capacity can increase profits by enhancing loyalty award values; airlines can benefit from transitioning from mileage-based programs to revenue-based programs by simplifying its revenue management algorithm and allowing 100% award availability. The second chapter investigates customers' evaluations of loyalty program points. By fitting a Multinomial Logit model on DB1B data set, we calibrate customers' valuations for loyalty points at the issuance and redemption. We have two main conclusions: consumers are rational about the value of miles at issuance, but underestimate and overspend miles at redemption; higher award availability and more award choices lead to higher values of Loyalty points. Finally, my third chapter examines the impact of dynamic pricing in the ride-sharing economy. By using actual Uber pricing and partner data, the paper shows that ride-sharing platforms can efficiently signal market conditions, stimulate desirable agents' behavior, and reduce marketplace frictions through dynamic pricing.
Strategy In Airline Loyalty
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Author : Evert R. de Boer
language : en
Publisher: Springer
Release Date : 2017-10-09
Strategy In Airline Loyalty written by Evert R. de Boer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-09 with Business & Economics categories.
This book offers the first comprehensive exploration of frequent flyer programs. By combining academic research with extensive insights and examples from the actual business world, it explores the key drivers and strategies of airline loyalty marketing today in an unprecedented manner. Strategy in Airline Loyalty also explores how the programs have evolved over time from marketing programs to financial powerhouses, identifying both the catalysts for change, as well as the strategic options and underlying trade-offs available to airlines. Covering diverse angles ranging from behavioral economics, to accounting, and structural design, the book reviews every core aspect of frequent flyer programs and offers extensive frameworks and definitions. The book provides a useful and complete reference for researchers, and helps those interested in frequent flyer programs to develop a better understanding of their past, present and future.
Loyalty Management In The Airline Industry
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Author : Ben Beiske
language : en
Publisher: diplom.de
Release Date : 2002-05-29
Loyalty Management In The Airline Industry written by Ben Beiske and has been published by diplom.de this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-29 with Business & Economics categories.
Inhaltsangabe:Abstract: This report will demonstrate the importance of Loyalty Management in the competitive environment of the airline industry and will show that a successful approach to Loyalty Management consists of three different, interlinked aspects. These three pillars are Customer Service, Frequent Flyer Programs, and Complaint Management; their interdependence will be analysed in depth, with special attention given to the perceived importance of Frequent Flyer Programs. Findings from a detailed literature review and a survey show that customers do indeed perceive these issues as vital with regards to their loyalty towards a particular airline. It was found that Customer Service can be regarded as the foundation for Loyalty Management; it can help an airline to gain competitive advantage by setting it apart from its competitors. Frequent Flyer Programs, if implemented and run properly, can provide the customer with added value. As such, they compliment Customer Service and can help to increase overall loyalty. Additionally, Complaint Management was found to be gaining importance among airlines. The number of complaints was shown to be rising gradually, stressing the growing significance of efficient Complaint Management and its strong after-effect on customer loyalty. Inhaltsverzeichnis:Table of Contents: 1.INTRODUCTION6 1.1AIM AND OBJECTIVES OF THE REPORT7 1.2TERMINOLOGY9 1.3BACKGROUND INFORMATION: LOYALTY MANAGEMENT9 1.3.1DEFINITIONS9 1.3.2TRADITIONAL MARKETING AND LOYALTY MANAGEMENT10 1.3.3IMPORTANCE OF LOYALTY MANAGEMENT12 1.4CHARACTERISTICS OF THE AIRLINE MARKET13 1.4.1AIRLINE INDUSTRY ANALYSIS - STEEPLE13 1.4.1.1Social13 1.4.1.2Technological14 1.4.1.3Economical14 1.4.1.4Environmental14 1.4.1.5Political15 1.4.1.6Legal15 1.4.1.7Ethical15 1.4.2CONSOLIDATION IN PRACTICE: BRITISH AIRWAYS16 1.4.2.1British Airways and KLM16 1.4.2.2British Airways and American Airlines18 1.4.3THE CURRENT AIRLINE SITUATION19 2.LITERATURE REVIEW22 2.1CUSTOMER SERVICE22 2.1.1BACKGROUND INFORMATION23 2.1.1.1Singapore Airlines23 2.1.2REVELATION OF DISSATISFACTION24 2.1.3EMPLOYEES25 2.1.4COMMUNICATION25 2.1.5THE CUSTOMER26 2.1.5.1Customer Requirements26 2.1.6SERVICE QUALITY27 2.1.6.1Quality and Retaining Customers28 2.1.7ORIENTATION OF COMPANY29 2.1.8CONCLUSION CUSTOMER SERVICE29 2.2FREQUENT FLYER PROGRAMS31 2.2.1BACKGROUND INFORMATION31 2.2.1.1Statistics Frequent Flyer Programs32 2.2.2CRITICAL SUCCESS FACTORS [...]
Profit Optimization Using Advanced Analytics In The Airline And Travel Industry
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Author : Gopal Ranganathan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-19
Profit Optimization Using Advanced Analytics In The Airline And Travel Industry written by Gopal Ranganathan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-19 with categories.
The airline industry has come a long way since deregulation in 1978. Yet its ROI to investors is lowest among all industries. This book provides the secrets of how advanced analytics helps profit optimization. It is written with candor to show the limitations of today's most widely used systems and how new futuristic systems are needed for optimized decision making. It describes the systems, process and governance that align the entire management from the CEO down to the managers in making profitable decisions every time. Using numerous cases from the commercial functions of sales, revenue management, marketing and network planning, the book provides an insider look into the sub-optimal decision processes today. It shows how embedding advanced analytics from enterprise perspective optimizes the decisions. It provides a playbook for the CIO and C-Suite to build and ensure governance of the models, data and process for enterprise analytics. Commercial airlines that adopt the advanced analytics paradigm shift will see direct competitive advantage and lasting change in profits. This is the type of change recommended by Gopal Ranganathan, industry consultant and founder of Quad Optima Analytics, a company dedicated to helping airlines have this advantage.
Airline Revenue Management
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Author : Curt Cramer
language : en
Publisher: Springer Nature
Release Date : 2021-11-10
Airline Revenue Management written by Curt Cramer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Business & Economics categories.
The book provides a comprehensive overview of current practices and future directions in airline revenue management. It explains state-of-the-art revenue management approaches and outlines how these will be augmented and enhanced through modern data science and machine learning methods in the future. Several practical examples and applications will make the reader familiar with the relevance of the corresponding ideas and concepts for an airline commercial organization. The book is ideal for both students in the field of airline and tourism management as well as for practitioners and industry experts seeking to refresh their knowledge about current and future revenue management approaches, as well as to get an introductory understanding of data science and machine learning methods. Each chapter closes with a checkpoint, allowing the reader to deepen the understanding of the contents covered.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Ancillary Services In The Airline Industry
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Author : Adam Bockelie
language : en
Publisher:
Release Date : 2019
Ancillary Services In The Airline Industry written by Adam Bockelie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The recent proliferation of ancillary services means that airline passengers can face substantially different ancillary service prices and offerings based on their itinerary and fare class selection. At the same time, airlines have become interested in accounting for this supplementary revenue stream in their revenue management (RM) systems to maximize total, not just ticket, revenue. This thesis develops models for both of these issues, with a goal of providing a better understanding of how ancillary services affect the airline industry. We develop the Ancillary Choice Model (ACM) to describe how passengers make purchase decisions about ancillary services in conjunction with the selection of a fare class. We model two extremes of passenger knowledge and awareness of ancillary services, which we term simultaneous and sequential. We show that under the simultaneous model, the presence and price of ancillary services can affect the fare class selection of a passenger, even when all fare classes have the same ancillary prices. The second part of this thesis studies total revenue optimization. We provide a detailed assessment of a prior total revenue maximization approach, the Optimizer Increment (01), proving that it can be an optimal revenue management strategy under limited conditions, but also showing through the Passenger Origin-Destination Simulator (PODS) that it decreases revenue in more realistic environments. We then develop a new revenue management optimization model, the Ancillary Choice Dynamic Program (ACDP), which maximizes total revenue by explicitly including the revenue and fare class choice impacts of ancillary services. We describe an Ancillary Marginal Demand (AMD) and Ancillary Marginal Revenue (AMR) transformation that can be used as heuristics to provide the ancillary and choice awareness benefits of ACDP to existing RM optimization models.
Ancillary Revenues In The Airline Industry
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Author : Eric C. Hao
language : en
Publisher:
Release Date : 2014
Ancillary Revenues In The Airline Industry written by Eric C. Hao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Airlines have increasingly depended on ancillary revenue in response to rising fuel costs, de- creased yields, and an increasingly competitive environment. Estimates indicate that U.S. airlines collected over $8 billion in ancillary revenue in 2012. Ancillary revenue poses challenges for airlines, including revenue management (RM) and distribution since total revenue maximization requires consideration of ancillary revenue and ticket revenue. In this thesis, we: (1) describe trends contributing to the movement towards ancillary revenue; (2) present three methods for incorporating ancillary revenue into revenue management and distribution; (3) evaluate the revenue performance of these methods using the Passenger Origin Destination Simulator (PODS), a competitive airline simulator. One method of including ancillary revenue into RM is RM Input Adjustment with Class Level Estimates, which involves modifying input fares to the optimizer. Because fare values to the optimizer are aggregated by market and class, the airline uses class level estimates of ancillary revenue potential to augment fares. Another method involves modifying the fare value at the time of availability control, or Availability Fare Adjustment. In network optimization, the availability fare refers to the fare used to compare an itinerary-class to the control mechanism, like displacement adjusted virtual nesting (DAVN) or additive bid price (ProBP). Availability Fare Adjustment with Class Level Estimates also involves using class level estimates of ancillary revenue. Alternatively, we test scenarios where the airline estimates ancillary revenue for individual passengers in Customized Availability Fare Adjustment with Passenger Specific Estimates. Although this type of estimation is not feasible yet, results from Customized Availability Adjustment give a theoretical bound to revenue gain. We nd that incorporating ancillary revenue opens availability for lower yield passengers. Revenue increases occur from extra bookings in these classes because more bookings are taken. Revenue losses occur from higher class passengers buying down to cheaper seats. Without willingness to pay (WTP) forecasting, net revenue losses of up to {2.6% are observed. In advanced RM systems with WTP forecasting, revenue gains of +0.6% are observed for Class Level RM Input Adjustment, +0.9% for Class Level Availability Fare Adjustment, and +2.6% for Passenger Specific Customized Availability Adjustment.
The Evolution Of Yield Management In The Airline Industry
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Author : Ben Vinod
language : en
Publisher: Springer Nature
Release Date : 2021-05-28
The Evolution Of Yield Management In The Airline Industry written by Ben Vinod and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Business & Economics categories.
This book chronicles airline revenue management from its early origins to the last frontier. Since its inception revenue management has now become an integral part of the airline business process for competitive advantage. The field has progressed from inventory control of the base fare, to managing bundles of base fare and air ancillaries, to the precise inventory control at the individual seat level. The author provides an end-to-end view of pricing and revenue management in the airline industry covering airline pricing, advances in revenue management, availability, and air shopping, offer management and product distribution, agency revenue management, impact of revenue management across airline planning and operations, and emerging technologies is travel. The target audience of this book is practitioners who want to understand the basics and have an end-to-end view of revenue management.
Impacts Of Revenue Management On Estimates Of Spilled Passenger Demand
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Author : Michael Abramovich
language : en
Publisher:
Release Date : 2013
Impacts Of Revenue Management On Estimates Of Spilled Passenger Demand written by Michael Abramovich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
In the airline industry, spill refers to passenger demand turned away from a flight because demand has exceeded capacity. The accurate estimation of spill and the lost revenue it implies is an important parameter in airline fleet assignment models, where improved estimates lead to more profitable assignments. Previous models for spill estimation did not take into account the effects of passenger choice and airline revenue management. Since revenue management systems protect seats for later-arriving higher fare passengers, revenue management controls will influence the number of spilled passengers and their value because they will restrict availability to lower fare passengers even if seats on the aircraft are available. This thesis examines the effect of various revenue management systems and fare structures on spill, and, in turn, the marginal value of incremental capacity. The Passenger Origin Destination Simulator is used to simulate realistic passenger booking scenarios and to measure the value of spilled demand. A major finding of the research is that in less restricted fare structures and with traditional revenue management systems, increasing capacity on a flight leads to buy-down which can result in negative marginal revenues and therefore revenue losses. This behavior is contrary to conventional wisdom and is not considered in existing spill models. On the other hand, marginal revenues at low capacities are greater than would be predicted by first-choice-only spill models because some passengers will sell-up to higher fares to avoid spilling out. Additionally, because of passenger recapture between flights, adding capacity to one flight can lead to revenue losses on another. Therefore, the marginal value of incremental capacity is not always positive. Negative marginal revenues and associated revenue losses with increasing capacity can at least be partially mitigated by using more advanced revenue management forecasting and optimization algorithms which take into account passenger willingness to pay. The thesis also develops a heuristic analytical method for estimating spill costs which takes into account the effects of passenger sell-up, where previous models tend to underestimate the spill cost by only modeling passengers' first choices. The heuristic demonstrates improved estimates of passenger spill: in particular, in restricted fare structures and for moderate amounts of spill, the model exhibits approximate relative errors on the order of 5%, a factor of two improvement over previous models.