Case Study: Reed.co.uk boosts search relevance and cuts cost-per-hire by 20% with Elastic (Elasticsearch)

Reed.co.uk helps people find the jobs they love and want with Elasticsearch

Reed.co.uk, the UK’s largest online job site with 11 million registered candidates, ~100,000 daily role views and 30,000 recruiting clients, needed to deliver faster, more relevant search results while also increasing revenue from promoted jobs. The core challenge was balancing highly relevant matches for candidates with monetization goals for employers in a competitive recruitment market.

Reed implemented Elastic Search with vector embeddings to capture semantic intent, combining keyword and vector matching, analytics and cross-channel alerts to improve relevance and measure performance. The result: candidate click-through rates rose 20%, cost-per-hire fell 20%, application completion rates jumped 30%, and Reed improved advertiser ROI and client retention while paving the way for further generative AI enhancements.

Reed.co.uk

Krishna Chalasani

Software Development Manager