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Summary articles Airlines and Websites
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Summary of all (weekly) articles that you need to study for the Airlines and Websites (AWS) exam. I have passed this exam with a 9.
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Aggregator Business Model. What Is It And How Does It Operate?
https://www.feedough.com/aggregator-business-model/
The aggregator model has disrupted every industry and usually involves organizing an
unorganized and popular sector (hotels, taxis, etc.) and provide this service under one brand.
Aggregator Business Model
The aggregator business model is a network model where the firm collects the information
about a particular good/service providers, make the providers their partners, and sell their
services under its own brand. These services should have a uniform quality and price. The
providers will stay the owners of the goods/services, but the aggregator helps with marketing.
Characteristics of Aggregators
Customers: Aggregators have a two-fold customers strategy, both the providers and the
consumers of the goods/services are a customer of the aggregator. The platform is built in
such a way that it attracts both parties.
Industry: All the goods/services providers are from the same industry.
Brand: Aggregators spend most of their revenue in building up a brand that provides value.
Quality: Aggregators try to provide a standardized quality to the customers, which means that
goods/services offered via these aggregators have the same level of quality.
Contract: A contract is signed between the aggregator and the goods/services provider, which
provides a win-win situation for both parties. The partner focuses on providing quality goods/
services whilst the aggregator focuses on marketing and generating extra leads. Terms usually
include: branding, quality requirements, commissions, take up rates, etc.
Aggregator Revenue Model
There are two kinds of revenue models for aggregators: the aggregator gets commission for
the customers provided (Uber Business Model) or the aggregator asks an extra amount from
the customer that is their profit (Oyo Business Model). Discounts and dynamic pricing play a
big role in determining an aggregator’s revenue.
• Pricing à Aggregators provide different services for different but standardised prices.
• Competition à Competition is hard to handle because competitors could work with the
same partners/providers as the company does.
How Does Aggregator Business Model Work?
1. Aggregator visits the good/service providers.
2. Aggregator promises them more customers and proposes a partnership plan.
3. Good/service providers are now the partners.
,4. Aggregator builds up his own brand and tries to attract customers through many
marketing strategies.
5. Customers make purchases through the aggregator.
6. Partner gets the customers as promised.
7. Aggregator gets the commission.
What Is a Travel Aggregator and Which Is Best?
https://www.tripsavvy.com/guide-to-travel-aggregators-3149865
An aggregator is a website that searches for deals across multiple websites and shows you the
results in one place. For the customers, it will give them the option to find good and cheap
(e.g.) flights and it saves time as well. The following aggregators are ‘the best’:
• Skyscanner à It almost always gives the cheapest price on flights and it says which date
in a month is the cheapest. It also haves an ‘everywhere’-function.
• Adioso à You can change it to ‘somewhere warm’, ‘budget city’, ‘local festival’, etc.
• Google Flights à Shows map with cheap destinations and sometimes has cheaper flights.
• HotelsCombined à Checks other aggregators such as Expedia, Booking and Agoda.
• Hostelz à Aggregator for hostels and searches sites as Hostelbookers and Hostelworld.
• Booking Buddy à Pulls together 29 aggregators on one page, such as Kayak, Priceline,
Expedia, etc. But you have to check them all individually via the website.
How airlines are using big data
https://www.exastax.com/big-data/how-airlines-are-using-big-data/
Big data technology is reshaping all industries and brings companies a great competitive
advantage. The airline industry is expert in customer experience (e.g. with loyalty programs),
but most of the airlines are not using big data yet. Airlines and their frequent flyer programs
can use information such as: search history, purchase history, checked luggage, departure and
arrival data and time, departure city and destination, in-flight sales and food choices, hotel
and car rental, travel party, credit card points earned, miles used and the influence of the
airline over other people through social media. Airlines can use this big data to:
Personalized Offers
Big data is used for personalization, in order to increase customer satisfaction and loyalty.
Many airlines are already using big data to improve the customer experience and to create a
customer profile based on all the information they have on that customer.
Improving Marketing Efforts
The next step of personalization is to use big data to improve marketing efforts and send
customers special offers, in order to increase the chance of getting a response.
Pricing and Network Strategies
Big data can be used to track travellers’ purchase activity and demand patterns. It can also
help to determine which customer segments are price sensitive, etc. The big data analytics
can help to set the right price that creates demand and profit at the same time. Big data can
also be used in the form of historical information that can predict demands and helps on the
decisions to open new routes, schedule changes, codeshare alliances, etc.
, Smarter Flights
In-flight generated can be used to improve the flight safety.
Increasing Customer Satisfaction
• Real-Time Baggage Status à Apps can be made with which customers can track baggage.
• Wearable Technology & IoT à Big data and the Internet of Things can be used to e.g. use
beacons to navigate the customer through the airport and to save their car park location.
• More Insightful Customer Behaviours à Other data
such as speech or data from social media can be
leveraged and analysed in order to receive more
information on customers.
Big data helps airlines have a better understanding of the
individual passenger, identify patterns in his/her
behaviour, determine preferences and foresee future
requests. By leveraging big data insights, airlines have the
ability to make strategic decisions and differentiate
themselves in the extremely competitive market.
Study guide
Introduction
The number of flights and sold tickets is expected to grow with 6-10% this year. The biggest
changes are: (directly) communicated to the customer, the process and the connection of
various systems. Digitization, data streams and online sales play a crucial role here. 92% of all
tickets is sold directly and many ‘traditional’ retailers or resellers (e.g. travel agents) use the
same systems as the ordinary customers.
5.1 Introduction
Big changes in the economy started with the technical possibilities in the digitalization of
information, which, among other things, lead to the creation of the internet. Social media also
led to new consumer and organizational behaviour, which affects the real life. The line
between online and offline is disappearing, just as the lines between different media. The
impact of the Internet of Things is increasing as increasingly more people have devices.
Internet affects the tourism and aviation branch more than they affect other branches,
because products have a high involvement and are mostly intangible and the distribution of
intangible products can be done easily using digitalization and modern techniques. It also
causes that third parties starting to invest in this industry. In the industry, the airline’s website
is still most important: it is the central point and still leads in online sales. But, companies like
OTAs, affiliates, review sites and verticals (e.g. Kayak) change the industry.
5.2 Aggregators
Fare aggregators (e.g. Kayak) bring different types of fares together, which mostly comes
directly from airlines’ databases. They started as a sort of search engine companies but now
they also offer other services such as price comparison, availability, destination exploring,
price forecasts, etc. Many of these companies are part of a bigger group, that dominate the
airline market.
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