Case Study: GetQuanty achieves near real-time predictive lead scoring with Google Cloud

Powering innovative, near real-time B2B predictive scoring

GetQuanty, a Paris-based B2B predictive lead scoring company, needed a scalable, secure platform to analyze large volumes of website and marketing data in near real time. As the business grew, its previous provider could not keep up with performance and capacity demands, and GetQuanty needed to avoid losing valuable data while improving the quality of its lead-scoring insights. Looker is listed as the vendor, and the solution mentioned in the case uses cloud-based data services to support its analytics needs.

Looker helped GetQuanty build a stronger data infrastructure with tools including Cloud SQL, Cloud Storage, App Engine, Cloud Datastore, and BigQuery. The result was faster processing, reduced analysis time from overnight to 2 hours, and support for 10 million to 15 million site visits per month. GetQuanty also enabled near real-time services and helped customers generate measurable ROI, including over 250 qualified leads, 23 quotes averaging $5,000 per lead, and a more than 30% uplift in conversion rates.

GetQuanty

Xavier Paulik

Associate Director