By understanding the relationship between advance purchase and acceptance rates, airlines may be able to better target offers, reducing passengers contacted
Volantio has been leveraging machine learning techniques to better understand the primary drivers of passengers’ willingness to change their travel plans. In our April update, we discussed how monetary compensation is NOT always the primary driver. You can read more on that story here.
This month, we highlight how the advance purchase window (defined in days prior to departure) impacts a passenger’s willingness to change their travel plans.
The graph above normalizes acceptance rates to the 0-4 day advance purchase window.
Key insights learned from our analysis:
Finally, it’s important to note that the above results will differ from airline to airline, and will change over time. However, they provide another useful starting point to think about improved passenger interactions.