Success stories told by the digital leaders. At best you’ll get inspired to do great digital work. At worst you’ll learn about new interesting people from airline, travel, digital and experimentation world. Narrated by Iztok Franko, founder of Diggintravel.com and a digital enthusiast.
Success stories told by the digital leaders. At best you’ll get inspired to do great digital work. At worst you’ll learn about new interesting people from airline, travel, digital and experimentation world. Narrated by Iztok Franko, founder of Diggintravel.com and a digital enthusiast.
Episodes
2 days ago
2 days ago
In the second episode of the How Airlines Become Data Driven series, we move from the big picture to the first practical step of building a more data-driven airline ecommerce and digital marketing team.
In my experience, every airline analytics project starts in the same place: understanding how accurate your digital data really is.
Before optimizing campaigns, running experiments, evaluating the impact of digital spend, or making strategic marketing decisions, you need to know whether you can trust the data you're looking at.
Drawing on five years of hands-on consulting with airline ecommerce and digital marketing teams, I explain why measuring data accuracy and tracking discrepancies between digital analytics platforms and backend systems should become one of the first habits every airline digital team builds.
In this episode, we talk about:
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Why data accuracy is the foundation of every analytics and optimization project
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Why many airline teams don't know how accurate their digital analytics data really is
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How digital measurement has changed with GA4, privacy regulations, consent management, browser restrictions, and server-side tracking
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Why there is no single "correct" analytics architecture for every airline
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Why measuring tracking discrepancy is more important than chasing perfect tracking
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Practical approaches to measuring discrepancies between GA4, server-side tracking, and backend systems
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Why regular discrepancy tracking should become one of the first habits every airline digital team builds
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How to investigate discrepancies by segmenting data across countries, devices, browsers, and customer groups
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A real-world example of identifying a major tracking issue following a GA3 to GA4 migration
Whether you use GA4, Adobe Analytics, server-side tracking, or a custom analytics platform, the principles are the same: understand the limitations of your measurement, validate it against a trusted source of truth, and build confidence in your data before making important business decisions.
RESOURCES:
Full article with practical examples, charts, and key takeaways from this episode:
https://diggintravel.com/why-airline-digital-tracking-is-never-perfect/

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