Case Study: Leading Travel Agency boosts revenue and profit with Quicklizard

Developing a Commision Optimization Platform for an Online Travel Agency

Leading Travel Agency, a European-based online travel agency, needed a better way to optimize commissions and pricing across different traffic sources and product types. With 70% of sales coming from meta search engines and the rest from direct channels, its home-grown pricing process relied on manual markup decisions that did not account for competitor pricing, demand signals, or other environmental factors.

Quicklizard implemented a dynamic pricing platform tailored to the agency’s traffic mix, using machine learning, A/B testing, reinforcement learning, and bidder optimization to recommend real-time commission prices and bidding rules. As a result, Leading Travel Agency reported an 18% increase in revenue and a 7% increase in profit after the initial setup period, with Quicklizard now also expanding the approach to hotels, car rentals, and vacation packages.