When we think of pricing intelligence, we tend to see Amazon as the trail blazers, with algorithms that reportedly change prices millions of times per day depending on demand and competition.

Uber, with its ride hailing service, is also well-known for its dynamic surge pricing. The company increases its basic rates when they know that a large sporting event is taking place, for example, or if there is particularly poor weather.

But what about airline pricing strategies?

At the end of June, Infare attended the IATA Aviation Data Symposium in Athens with our CEO Nils Gelbjerg-Hansen talking to the main stage with his keynote: “Monitoring and comparing retailing offers. With increasing fare families and merchandising, how can airlines get market insights?”
Airline Pricing Strategies Infare at IATA Aviation Data Symposium
Airlines are continually seeking new opportunities to generate extra revenues from secondary sources. This often means ‘unbundling’ their offer; selling first the seat and then adding extras such as baggage, VIP access, fast-track security, extra leg room, etc. The challenge for airlines is to maximise revenues through the right mix of unbundled airfares and bundled fare families in order to develop genuine additional, sustainable revenue streams.
In a tough aviation market of increasing fuel prices, decreasing airline yields and changing customer preferences, airlines are looking to grow ancillary revenues. To do that, specific airfare data and market insights are vital. Collecting and analysing the data from ancillary sales across the airline industry is necessary to enable meaningful competitor price observations and pricing intelligence.
Pricing Strategies Ancillary revenue IATA Aviation Data Symposium 2019
Baggage is by far the most commonly purchased ancillary item across the industry. An Amadeus study revealed that while most European full-service carriers offer checked-in luggage at every point of the passenger journey, almost all low-cost carriers offer checked-in baggage options separately from the base fare. Most low-cost carriers offer an initial low price for the booking but increase the price of the bag as departure date approaches.
At Infare, we understand that fares and fare families are not as simple as they look. We aim to create more meaningful and useful insights for our customers’ comparison models so that they can develop their own airline pricing strategies for baggage and other ancillaries to maximise profitability. Today, we are committed to providing best-in-class pricing intelligence solutions to the aviation industry. Tomorrow, we will continue to grow our investment to serve our customers for the future, and remain in the leader’s seat.

What else happened in Athens, at IATA Aviation Data Symposium 2019?

At IATA Aviation Data Symposium 2019, we were also represented by Vadim Skritskiy, Infare Data Scientist who participated in a lively panel discussion on “Matching supply and demand – data driven network optimisation” where panellists debated how airlines can better react to changes in demand and profitability, airline industry anomalies and airline competition through new techniques and real-time access to data. Joining Vadim on the panel were experts from Skyscanner, Lufthansa Group and Accelya Group Company.
Airline Pricing Strategies Aviation Data Symposium Vadim Skritskiy Data Science
Vadim’s major points centred around the fact that adding a small augment or enriching data foundations with extra data sources would lead to big bonus points for industry projects, the notion of big data not automatically meaning that bigger is better.
Vadim has investigated Infare’s vast foundation of airfare data, analysing and trying to understand what undiscovered value this market pricing information has in store. Some of the undergoing projects reveal new ways for airlines to discover network, market or route opportunities.
The new innovative approach Infare is exploring will provide airlines with deep insights on what they may be missing today in their offer compared to the competition, as well as insights about which competitors are directly eating into their revenue and where their profits are being most impacted. These data insights are vital in ensuring that airlines can effectively stay ahead in the competitive environment that is the airline industry.



Modelling Airline Competition using Machine Learning

Modelling Airline Competition using Machine Learning

Airline competition is a driving force in the airline industry. In fact, it is increasing year on year. Consumers and […]

Read More
Low-Cost airlines pricing strategies

What’s behind the success of Low-Cost Airlines Pricing Strategies?

For many years Low-Cost Airlines have been a disrupting force in the airline industry with their direct distribution model and […]

Read More
Data Svience in the travel industry Vadim Stritskiy Infare

Mastering data science in the travel industry

At Infare we collect 2 billion data points every day, and it’s the job of our data scientists to conduct […]

Read More