Case Study: GetQuanty achieves near-real-time B2B predictive scoring and faster data processing with Google Cloud Platform

GetQuanty Powering innovative, near real-time B2B predictive scoring

GetQuanty is a Paris-based B2B predictive lead-scoring platform (launched 2016) that helps roughly 250 French businesses analyze web, social and mobile behavior to target the best leads. Rapid growth and large data volumes exposed limits in its previous provider: capacity, performance and storage constraints forced data deletions and prevented timely analyses, undermining the quality of its predictive models.

GetQuanty migrated to Google Cloud (Cloud SQL, Cloud Storage, App Engine, Cloud Datastore and BigQuery) after a one‑month proof of concept and six‑month migration, enabling near real-time scoring and scalable analytics. The platform now handles 10–15 million visits per month, cut processing from overnight to two hours, supports unique social‑share identification, produced customer outcomes (e.g., identifying 5,000 companies that yielded ~250 qualified leads and 23 quotes averaging $5,000), lifted conversions by over 30%, and runs with high availability and room to expand into ML and IoT.

GetQuanty

Xavier Paulik

Associate Director and Cofounder