Case Study: Nozzle achieves scalable, cost-effective SEO analytics with Google Cloud Platform

Nozzle Optimizing for better SEO

Nozzle, a Utah-based SEO analytics company, helps digital marketers track search rankings and competitor performance for millions of keywords. As customer data volumes grew into terabytes per month, Nozzle needed a scalable, cost-effective way to handle heavy processing and fast data delivery. It turned to Google Cloud Platform, using services including Google Cloud, BigQuery, Cloud Tasks, Kubernetes Engine, Preemptible VMs, and TensorFlow.

Google Cloud Platform implemented an end-to-end cloud data pipeline for Nozzle, with Cloud Tasks for request processing, BigQuery for secure high-performance warehousing, and Google Kubernetes Engine to run microservices with flexible scaling; Preemptible VMs handled batch workloads efficiently. The results included deployment times cut from 15 minutes to 15 seconds, query times reduced by more than 90%, cost savings from usage-based pricing, and 100x revenue growth in the first 24 months after migration.

Nozzle

Derek Perkins

Founder & CEO