AI-driven lead generation

The Challenge

Ebba Biotechnology AB, a biotechnology company specializing in commercial applications of optotracer molecules, contacted us to find better ways of efficiently identifying potential customers and scientific collaborators. The company needed to connect with research laboratories, hospitals, and industry partners worldwide. However, the process of reviewing global scientific literature to identify groups performing relevant work in real time was labor-intensive, hindering their growth.

The goal was to implement a solution that could drastically improve lead generation based on scientific article content, enabling Ebba Biotechnology to connect with more interested researchers in less time while carefully understanding research interests using AI, thereby accelerating their growth and research prescence.

“Working with Ebba Biotech has been an especially rewarding project and a true collaboration, which has shaped our article processing strategy and showed us innovative ways to make Terran a better platform.”

Markus Ekvall

The Solution

Ebba Biotech turned to Terran for a solution to enhance their lead prospecting and customer acquisition efforts by using scientific article content more precisely. Terran’s comprehensive database and AI-driven search and analytics identified research groups who had recently published relevant work.

Key Features of Terran’s Solution:

  1. Advanced Data Integration: Terran integrated academic publications and internal researcher databases to identify potential leads.
  2. AI-Driven Lead Identification: Using sophisticated AI algorithms, Terran’s platform analyzed the integrated data to prioritize high-potential scientific leads. This automated process significantly reduced the time and effort required to find relevant prospects.
  3. Real-Time Analytics: Terran provides real-time analytics and reporting, allowing for continuous monitoring of scientific literature developments.

The Results

The implementation of Terran’s lead prospecting platform brought substantial benefits to Ebba Biotech:

  1. Increased Lead Prospects: The AI-driven approach resulted in a 50% increase in scientific lead prospects compared to traditional manual methods. This provided a broader pool of potential customers and collaborators.
  2. Enhanced Scientific Collaborations: By identifying and connecting with potential collaborators, Ebba Biotech could expand their network within the scientific community, facilitating new research partnerships and innovative applications of their optotracers.
  3. Optimized Outreach Campaigns: Effective research prioritization ensured that communications were effective and resonated with the target audience, enhancing outlook for new partnerships and customers.

Conclusion

By leveraging AI-driven insights and real-time research analytics, Ebba Biotech increased their lead prospects by 50%. This case study demonstrates how cutting-edge technology can transform customer engagement strategies in the biotechnology sector, driving growth and innovation.

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