Experimentation Playbook for Airline Revenue Management
Pricing is the most powerful commercial lever in aviation, and even small improvements scale to millions at network level. Knowing whether a change delivered an improvement depends on how the experiment is designed. In airline networks, this requires adapting methods originally developed for digital products. This playbook, written by ADC Lead Decision Scientist, Rutger Lit, sets out a practical framework for experiments that stay valid and deliver answers within commercial timelines.
What you can find inside
Built on ADC's work with airline pricing and revenue management teams, the playbook turns the statistics of experimentation into practical design choices you can apply to your own network. A few of the questions it explores, among many more:
Why A/B tests break: Why standard A/B assumptions rarely hold in airline networks
Containing spillovers: How pods and switchback designs keep treatment and control apart
Shorter runtime: How managing variance gets you answers sooner
Reliable monitoring: How to track results without inflating false positives
Read more about our work at ADC
We help airline revenue management teams make smarter decisions based on evidence.
About the author
Rutger Lit (Lead Decision Scientist)
I specialize in causal inference and experimentation, with a focus on pricing and revenue management. I design experiments in settings where standard A/B testing breaks down because of interference, temporal dependence, noisy outcomes, and commercially meaningful effects that can be small. At ADC, I have led experimentation and impact measurement work in airline pricing and revenue management. My work focuses on turning complex operational settings into experiments that produce credible evidence and clear decisions.
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