Case Study: Zembl achieves 30% higher customer conversion with Relevance AI

Zembl boosts customer conversion by 30% with Relevance AI

Zembl, an Australian energy consultant, faced challenges with its inbound sales process, including time-consuming lead research, inconsistent data handling, and a significant gap in after-hours customer engagement. These issues were costing the team deals and efficiency. To address this without increasing headcount, Zembl turned to the vendor Relevance AI to build a smarter system using its AI agent workforce.

The solution implemented by Relevance AI involved deploying a team of specialized AI agents, beginning with "Toni" to automate lead research and initial contact. This workforce grew to handle various tasks across sales, marketing, and operations, providing 24/7 coverage. The results for Zembl were a 30% increase in customer conversion, a 60% reduction in average call time, and the complete elimination of the after-hours lead gap, all achieved without adding human staff.

Zembl