Case Study: Lexer achieves real-time, scalable social listening and saves hundreds of development hours with Elastic

Lexer Builds Next Gen Social Listening Platform with Elasticsearch

Lexer, an Australian SaaS company, built a next‑generation social listening platform to help enterprises monitor and act on conversations across paid, owned and earned channels. Confronted with unprecedented volume and velocity—over 1 billion documents, 3 TB of data and 400 million public sources—Lexer needed a way to surface context, identify risk and enable timely engagement at scale.

By embedding Elasticsearch for enrichment, querying and aggregations, Lexer fused public data with clients’ CRM and support records to deliver real‑time, bite‑sized insights and alerts (for example, geo‑localized customer complaints). The platform scaled to massive volumes, enabled proactive, personalized responses and predictive analysis, and saved the company hundreds of hours of development time.

Lexer

Aaron Wallis

Founder