Technology Category
- Cybersecurity & Privacy - Endpoint Security
Applicable Industries
- Aerospace
Use Cases
- Time Sensitive Networking
Services
- System Integration
About The Customer
Ryanair is a major European airline known for its budget-friendly flight options. Despite facing significant criticism for its service offerings, the company has managed to grow into one of the largest airlines in Europe. Ryanair has a reputation for handling the media effectively, often leveraging the charisma of its CEO, Michael O’Leary, to garner free advertising. However, the company faced a significant challenge when it had to cancel around 1,900 flights due to an internal administrative issue. This event triggered a major PR crisis, prompting the need for effective crisis management strategies to mitigate the negative impact on the company's brand image.
The Challenge
Ryanair, one of the largest airlines in Europe, faced a significant PR crisis when they had to abruptly cancel around 1,900 flights due to an internal administrative issue. This situation presented one of the biggest PR challenges the company had ever faced. The challenge was to manage the negative press and social media backlash effectively. The company needed to understand the extent of the negative coverage, the effectiveness of their PR strategies, and the impact of the crisis on their brand image. To answer these questions, they needed to analyze nearly 600 news stories about the cancellations and 30,000 Tweets mentioning Ryanair over the week following the announcement.
The Solution
To handle this PR crisis, Ryanair employed a common PR strategy of announcing the bad news late on a Friday, hoping to minimize negative coverage due to the weekend lull in news reporting. Using APIs for text analysis, the company was able to measure the reaction to the announcement, both in the news and on social media. They tracked the volume of news stories published over the weekend and collected Tweets directed at Ryanair. They also used the Trends endpoint of the News API to gather the 10 most-shared stories about Ryanair on Facebook on Friday, Saturday, and Sunday, and counted how many times they were shared. To understand the sentiment of the coverage, they used the Trends endpoint of the News API to analyze the tone of the stories. To separate affected customers from people jumping on the bandwagon, they used the Text API’s Concept Extraction feature to identify Tweets that mentioned specific flight details.
Operational Impact
Quantitative Benefit
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