Case Study: Large Matchmaking and Dating Service Company achieves 20% higher first-page match accuracy and sub-100ms search latency with Elastic

The World’s largest matchmaking and dating service harnesses Elasticsearch for an enhanced matchmaking experience, helping millions to find love

A global leader in matchmaking and dating based in India operates a high‑scale matrimonial website and app that has helped millions connect (over 7 million marriages and 50 million contacts). The company faced the challenge of delivering highly relevant, real‑time profile matches while handling peak loads of about 5,000 search requests per second and indexing some 60 million documents, requiring both speed and accuracy to maintain a smooth user experience.

The team deployed Elasticsearch on Elastic Cloud with Kibana, a streaming data pipeline, and A/B testing to tune relevance and analytics, while exploring generative AI for personalization and fraud detection. The solution cut search latency to under 100 ms, improved first‑page profile relevance (about a 20% accuracy boost) and lifted engagement (around a 10% increase), while also enhancing email marketing open and click‑through rates.