Automation of nurturing reduces sales follow-up workload by 50%!
This is a case study of a machinery manufacturer that utilized an AI marketing agent to automate lead nurturing and improve sales efficiency. Challenges: There were many leads acquired through exhibitions and the website, but prioritization for follow-up was not established. Leads that did not progress to negotiations were often neglected, resulting in poor efficiency in lead utilization. Sales teams were unable to grasp the interest level of each lead, frequently missing the timing for negotiations. Measures: Introduction of an AI marketing agent: Analyzes lead behavior data and automatically conducts nurturing based on interests and concerns. Scoring function: The AI evaluates the interest level of leads and automatically notifies sales of leads with a high likelihood of negotiation. Personalized email distribution: Provides optimal content based on the lead's behavior history. Results: The negotiation rate of leads improved by 35%, enhancing the efficiency of sales approaches. Automation of nurturing reduced the follow-up workload for sales by 50%. Sales teams were able to approach leads at the appropriate timing, resulting in a 20% increase in the closing rate.
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Homula Inc. aims to fundamentally transform corporate productivity through the development and provision of the AI agent "Agens," which understands and executes business tasks related to daily business communications such as meetings, emails, and chats. We integrate multimodal information such as voice and text, allowing AI to autonomously process the "ToDos" that arise from daily communication. We provide an environment where the insights and judgments of talented personnel can be converted into knowledge assets and deployed across the organization as reproducible processes. In recent years, we have strengthened our collaboration with the globally recognized no-code automation platform "n8n." By combining the convenience of n8n, which allows for intuitive integration with business systems and SaaS, with Agens's natural language understanding and complex task execution capabilities, we are achieving a hybrid of user-friendly and advanced AI workflows in the field. From in-house business development by non-engineers to enterprise-level security compliance, data integration, and governance design, we support the entire process from Proof of Concept (PoC) starting in as little as two weeks to implementation, establishment, and self-sustainability.