Case Study: LiftIgniter achieves billion-event personalization scale and up to 240% higher CTR with Google Cloud Platform

LiftIgniter Creating more personalized, profitable digital experiences with machine learning

LiftIgniter helps companies deliver real-time, personalized content and recommendations using machine learning, but faced the challenge of running sophisticated personalization at scale while controlling costs and staying focused on product development. The company needed infrastructure that could handle billions of events, autoscale under variable loads, and speed up analytics without growing ops overhead.

By moving to Google Cloud and using managed services (Compute Engine autoscaling, Dataproc, Dataflow, BigQuery and ML APIs) LiftIgniter scaled to process billions of events per month, grew ~400%, and reclaimed engineering capacity. Customers saw up to 240% higher CTR, conversion lifts as high as 105%, ecommerce revenue gains of up to 10% (millions annually), up to tenfold faster time to market for analytics products, and reduced operational costs equivalent to several full‑time employees.

Liftigniter

Adam Spector

Co-founder & Head of Business