Nozzle: Optimizing for better SEO
About Nozzle
Nozzle helps digital marketers track their brand presence on the internet by delivering reliable data summarizing changes in search engine results. By helping them gather and analyze ranking data, marketers are able to monitor their website rankings, keep tabs on all of their competition, and evaluate the effectiveness of changes in their marketing strategy over time. Based in Utah, the company was founded in 2014 and counts Fortune 500 companies and marketing agencies among its clients.
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Contact usBusinesses rely on the Nozzle platform to track the top 100 search results for millions of keywords, deliver that data rapidly, and store it forever. But with customers regularly producing terabytes of data per month, Nozzle had sizable processing workloads and needed a solution with scalability and cost-effective performance.
Google Cloud results
- Creates cost savings from usage-based pricing, bypassing the need to commit to inflexible hardware contracts
- Improves developer productivity through platform improvements, reducing deployment times from 15 minutes to 15 seconds
- Reduces data warehouse query times by more than 90% for clients with BigQuery
100x revenue growth over first 24 months after migration
Enabling Change
Solutions: Migration, High Performance Computing
Workloads: VM Migration, High-throughput Batch Computing
Google Cloud manages every step of the data pipeline for Nozzle, providing substantial performance and cost improvements. Cloud Tasks helps manage initial processing for customer requests, while BigQuery provides a more secure and high-performance data warehouse for internal and customer use. All of these platform resources are run as microservices on top of Google Kubernetes Engine for additional performance flexibility.
Facing millions of customer queries per month, scalability was a major question that Google Cloud helped solve for Nozzle. Every part of the platform's Google Cloud data pipeline independently scales, and with usage-based pricing this performance and cost flexibility allows Nozzle to maintain agility and better anticipate workload swings. Using Preemptible VMs for batch workloads makes it possible for Nozzle to provide superior keyword ranking data at competitive prices.
With Nozzle expecting further customer growth, the company has also explored future Google Cloud machine learning integrations. Cloud Machine Learning Engine and TensorFlow will help support models for tasks such as entity extraction and sentiment analysis that could help produce higher-quality data for Nozzle and its customers.
"We've benefited heavily from leveraging the broad portfolio of products and services of Google Cloud," says Derek Perkins, Founder & CEO, Nozzle. "Our backend systems all run phenomenally on top of Google Cloud and its intuitive scalability allows us to remain agile, helping ensure that we remain a leading SEO analytics provider for customers."
"Google Cloud drives our analytics and machine learning needs. With BigQuery and Cloud Machine Learning Engine on Google Kubernetes Engine, we have an insights platform that's customized for our performance, IT, and cost requirements."
—Derek Perkins, Founder & CEO, NozzleTell us your challenge. We're here to help.
Contact us
About Nozzle
Nozzle helps digital marketers track their brand presence on the internet by delivering reliable data summarizing changes in search engine results. By helping them gather and analyze ranking data, marketers are able to monitor their website rankings, keep tabs on all of their competition, and evaluate the effectiveness of changes in their marketing strategy over time. Based in Utah, the company was founded in 2014 and counts Fortune 500 companies and marketing agencies among its clients.