Product: Aeromexico Website

The Product



Mexico’s flagship airline carrier. Operates a fleet of 133 aircraft, providing transport to 16 million passengers per year

My Role

Managed product development for the airline’s website with 80million annual sessions, present in 17 countries and 4 languages. Specifically in charge of flight search and book, ticket exchange, ancillary products and frequent flyer programs.

The Team

3 product owners
8 back-end software engineers
9 front-end software engineers
8 quality assurance
3 scrum masters
3 product designer

Project 1: Metasearch traffic

The problem - Referral trafic from Google Flights and Kayak wanting to book a flight,landed at the first stage of the booking funnel, resulting in a 2% conversion rate.

of the Convinced Google Flights & meta searchers to update referral booking experience; +200% in meta bookings

The discovery - Creating a new page after flight selection, allowed us to deeplink referral trafic further into the funnel and even created an opportunity to upsell to higher fares.

The result - After urging Google Flights and Kayak to update the referral booking experience, conversion rate on their traffic increased from 2% to 6% and kept ATP at 90% the value versus an organic booking session.

Project 2: Self-serve ticket exchange

The problem - Launch and grow the airline’s first self-serve ticket exchange portal and maintain a positive CSAT score.

The discovery - Word of mouth was the main driver for growth. Prioritizing features that fixed errors experienced by our frequent traveler cohort, created a positive CSAT score and word of mouth recommendations.

The result - In 6 months, our portal transacted 10% of all company ticket exchanges, and improved NPS from 70 to 75%.

Project 3: Flight Combination Algorithm

The problem - Round trip flight itineraries were not always combinable, creating website errors and ultimately a bad user experience.

The discovery - After 2 failed attempts, I convinced members from pricing and inventory planning teams to help me test and de-bug.

The result - We identified and solved 5 scenarios, ultimately reducing website error rate from 8% to 5.6%.