Case Study: Apna achieves billion-dollar growth, 20% more paying employers and 50% higher productivity with Elastic (Elasticsearch)

Apna puts Elasticsearch on Google Cloud at the heart of its billion-dollar growth strategy to drive revenue and improve productivity

Apna, India’s largest jobs and professional networking platform with 50 million users and 600,000 employers, needed to scale rapidly without sacrificing match quality while also monetizing its candidate database and keeping the platform reliable during peak demand. The company’s challenge was to deliver highly relevant search and personalized job recommendations, reduce operational overhead, and create new revenue streams for employers.

Apna deployed Elasticsearch on Elastic Cloud with Google Cloud, using semantic search, custom scoring, personalization, and a follower cluster for campaign loads to improve relevance, scalability, and stability. The solution drove a 15–20% increase in job applications, a 20% rise in employers paying for premium access, an 80% jump in profiles downloaded, a 20% boost in platform-team productivity, and more than a 50% increase in employee productivity.

Apna

Suresh Khemka

Head of Platform Engineering