Portfolio bidding strategies based on historical & forecasted performance
airOptimizer is an automated airline portfolio-bidding strategy algorithm. It uses historical data from SEM performance, and forecasted data from FareNet script searches and price changes to make bidding decisions for every market, route, and device. AirOptimizer calculates bids and adjusts them based on the Cost of Sale target.
Integrates with airline BI Data
airOptimizer can access and integrate supplemental data from the airline as well as Google Ads data to make better bid decisions:
Leverage R Studio to build route based predictive models and to deliver an automated optimization strategy.
Market / Route / Device
Create clusters of Market – Route – Device into different bid classifiers for targeted campaigns.
Google API Connection
Implement bid changes in Google Ads through Google Ads API.