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00 Wnsdecisionpoint.com
wnsdecisionpoint.com
Maximizing Ancillary Revenue
The Power of Analytics for Airlines
11 Wnsdecisionpoint.com
Airlines’ ancillary revenues grew more than 160% from 2010 to 2015
18.7
21.29
41.06
40.5
46.11
88.94
0 50 100 150
2015
2016P
2020P
Other Airlines 67 Airlines
76%
77%
74%
76%
78%
73%
75%
70% 72% 74% 76% 78% 80%
Wifi Access
In-Flight Entertainment
IN-Flight Snacks or Meals
IN-Flight Duty Free
IN-Flight Shopping
Respondent Average
Alcoholic Beverages
Satisfaction Index
Ancillary Segment Revenue Booster Higher Customer Satisfaction
Current and Predicted Ancillary Revenue
(USD Billion)
Effect of In-flight Ancillary Products on
Overall Passenger Satisfaction
48.4
42.8
5.6
Source: IdeaWorks Company, Travelport, Amadeus, WNS DecisionPoint™ Analysis Source: Airline Passenger Experience Association
22 Wnsdecisionpoint.com
Focus on ancillary revenue varies across the globe and depends on the
business model
Ancillary Revenue Share – Full Service & Regional
4.8% 8.4%
Median Best in Class
Aeroflot
(2.8%)
Aer Lingus
(12.6%)
American
(11.5%)
Alaska Air
(19.5%)
Aeromexico
(4.8%)
Air
Astana,
PIA
(0.8%)
Air Berlin
(3.8%)
Air Canada
(6.2%)
AF/KLM
(7.5%)
Air
Greenland
(4.6%)
ANA All
Nippon,
Emirates
(0.5%)
Avianca
(1.3%)
British
Airways
(3.4%)
China
Eastern
(3.7%)
China
Southern
(0.6%)
Delta
(9.3%)
Ethiopian
(2.7%)
Finnair
(4.5%)
Garuda
(0.3%)
Hawaiian
(9.2%)
Korean Air
(8.7%)
LATAM
(7.7%)
Lufthansa
(5.5%)
Qantas
(12.3%)
Qatar
(6.1%)
Rex
(0.9%)
Royal
Jordanian
(0.7%)
Sun Country
(8.4%)
TAP
Portugal
(7.3%)
Turkish
(2.5%)
United
(16.4%)
Virgin
America
(10.9%)
Virgin
Atlantic
(4.9%)
Virgin
Australia
(5%)
Region Legend:
 Middle East and Africa
 Asia/South Pacific
 Americas
 Europe and Russia
33 Wnsdecisionpoint.com
Airlines need to better package ancillary offerings irrespective of sales
channels
Pre-NDC
Post NDC
 Through GDSs, airlines know very little about the
behaviour of customers (how they shop, what all
products customers view before finalizing one of
choice, what is the length of stay on a page etc.)
 Airlines cannot provide personalized shopping
experience
 Search is primarily focused on price and schedule
 Travel agents can share personal details about traveller
like frequent flyer numbers and corporate identities
with airlines (should customers choose to share)
 Airlines know details about customers like who is
looking for fare differentials implying:
– Scope for personalization
– Shift search focus to value
New Distribution Capability (NDC) program launched by International Air Transport Association (IATA) is a new
XML-based data transmission standard which will enhance communication between airlines, travel agents and
travellers.
NDC will allow airlines to themselves create and personalize the offers themselves, irrespective of direct or indirect
channels.
44 Wnsdecisionpoint.com
Further application of advanced analytics will enable better
personalization
Application Areas Key Objectives Data Sources Analytics Techniques
Predictive analytics
Web analytics, Visual
analytics, Speech
analytics
Campaign management
analytics, Web analytics
Predictive analytics
Social media analytics
Flight booking data, Customer
profile, Payment data, Loyalty
program usage, Ancillary spend
Flight booking data, CRM data
Customer profile (both internal
and external sources), CRM
data
Customer profile (both internal
and external sources), Ancillary
spend, Flight booking data,
Loyalty program
Social media sites (profiles,
comments, likes, shares)
 Cross sell additional ancillaries based on customer history and profile
 Display alternative offers based on preferred destinations and routes
 Figure out preferred channels for branding and promotional
communication
 Improve channel RoI by analyzing channel cost, transaction volume,
average fare, seasonality etc.
 Use internal and external sources of client data for efficient
marketing, sending the right promotion and marketing
communication to the right customer set using the right channel
 Segment demographic data to narrow down on potential high value
segments
 Analyze travel patterns and spending behavior to gauge future
propensity of generating high margin transaction
 Maintain a positive online/social media reputation by constant
monitoring of positive and negative mentions about the brand
 Collect data on customer expectations and customer grievances for
more effective and relevant customer engagement strategies
Ticket & Ancillary
Sales
Channel
Management
Targeted Marketing
Identifying High
Value Passengers
Social Listening
To know more about ancillary revenue maximization trends and strategies,
To download a copy of the report click here
55 Wnsdecisionpoint.com
A credible insights hub for companies looking to
transform their strategies and operations by aligning
with todays realities and tomorrow’s disruptions.
Email: perspectives@wnsdecisionpoint.com
Website: wnsdecisionpoint.com
@WNSDecisionPt
WNS DecisionPoint
WNS DecisionPoint

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Maximizing ancillary revenue - The power of analytics for airlines

  • 1. 00 Wnsdecisionpoint.com wnsdecisionpoint.com Maximizing Ancillary Revenue The Power of Analytics for Airlines
  • 2. 11 Wnsdecisionpoint.com Airlines’ ancillary revenues grew more than 160% from 2010 to 2015 18.7 21.29 41.06 40.5 46.11 88.94 0 50 100 150 2015 2016P 2020P Other Airlines 67 Airlines 76% 77% 74% 76% 78% 73% 75% 70% 72% 74% 76% 78% 80% Wifi Access In-Flight Entertainment IN-Flight Snacks or Meals IN-Flight Duty Free IN-Flight Shopping Respondent Average Alcoholic Beverages Satisfaction Index Ancillary Segment Revenue Booster Higher Customer Satisfaction Current and Predicted Ancillary Revenue (USD Billion) Effect of In-flight Ancillary Products on Overall Passenger Satisfaction 48.4 42.8 5.6 Source: IdeaWorks Company, Travelport, Amadeus, WNS DecisionPoint™ Analysis Source: Airline Passenger Experience Association
  • 3. 22 Wnsdecisionpoint.com Focus on ancillary revenue varies across the globe and depends on the business model Ancillary Revenue Share – Full Service & Regional 4.8% 8.4% Median Best in Class Aeroflot (2.8%) Aer Lingus (12.6%) American (11.5%) Alaska Air (19.5%) Aeromexico (4.8%) Air Astana, PIA (0.8%) Air Berlin (3.8%) Air Canada (6.2%) AF/KLM (7.5%) Air Greenland (4.6%) ANA All Nippon, Emirates (0.5%) Avianca (1.3%) British Airways (3.4%) China Eastern (3.7%) China Southern (0.6%) Delta (9.3%) Ethiopian (2.7%) Finnair (4.5%) Garuda (0.3%) Hawaiian (9.2%) Korean Air (8.7%) LATAM (7.7%) Lufthansa (5.5%) Qantas (12.3%) Qatar (6.1%) Rex (0.9%) Royal Jordanian (0.7%) Sun Country (8.4%) TAP Portugal (7.3%) Turkish (2.5%) United (16.4%) Virgin America (10.9%) Virgin Atlantic (4.9%) Virgin Australia (5%) Region Legend:  Middle East and Africa  Asia/South Pacific  Americas  Europe and Russia
  • 4. 33 Wnsdecisionpoint.com Airlines need to better package ancillary offerings irrespective of sales channels Pre-NDC Post NDC  Through GDSs, airlines know very little about the behaviour of customers (how they shop, what all products customers view before finalizing one of choice, what is the length of stay on a page etc.)  Airlines cannot provide personalized shopping experience  Search is primarily focused on price and schedule  Travel agents can share personal details about traveller like frequent flyer numbers and corporate identities with airlines (should customers choose to share)  Airlines know details about customers like who is looking for fare differentials implying: – Scope for personalization – Shift search focus to value New Distribution Capability (NDC) program launched by International Air Transport Association (IATA) is a new XML-based data transmission standard which will enhance communication between airlines, travel agents and travellers. NDC will allow airlines to themselves create and personalize the offers themselves, irrespective of direct or indirect channels.
  • 5. 44 Wnsdecisionpoint.com Further application of advanced analytics will enable better personalization Application Areas Key Objectives Data Sources Analytics Techniques Predictive analytics Web analytics, Visual analytics, Speech analytics Campaign management analytics, Web analytics Predictive analytics Social media analytics Flight booking data, Customer profile, Payment data, Loyalty program usage, Ancillary spend Flight booking data, CRM data Customer profile (both internal and external sources), CRM data Customer profile (both internal and external sources), Ancillary spend, Flight booking data, Loyalty program Social media sites (profiles, comments, likes, shares)  Cross sell additional ancillaries based on customer history and profile  Display alternative offers based on preferred destinations and routes  Figure out preferred channels for branding and promotional communication  Improve channel RoI by analyzing channel cost, transaction volume, average fare, seasonality etc.  Use internal and external sources of client data for efficient marketing, sending the right promotion and marketing communication to the right customer set using the right channel  Segment demographic data to narrow down on potential high value segments  Analyze travel patterns and spending behavior to gauge future propensity of generating high margin transaction  Maintain a positive online/social media reputation by constant monitoring of positive and negative mentions about the brand  Collect data on customer expectations and customer grievances for more effective and relevant customer engagement strategies Ticket & Ancillary Sales Channel Management Targeted Marketing Identifying High Value Passengers Social Listening To know more about ancillary revenue maximization trends and strategies, To download a copy of the report click here
  • 6. 55 Wnsdecisionpoint.com A credible insights hub for companies looking to transform their strategies and operations by aligning with todays realities and tomorrow’s disruptions. Email: perspectives@wnsdecisionpoint.com Website: wnsdecisionpoint.com @WNSDecisionPt WNS DecisionPoint WNS DecisionPoint