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Case Study Predictive Communication Intelligence for Educational Institutions

In: Mastering CommTech

Author

Listed:
  • Claudia Gabler

    (FYNEST International)

  • Tim Seebacher

    (FYNEST International)

  • Uwe Seebacher

    (Academic Institute for Qualified Methods and Professional Structures (AQPS))

Abstract

This chapter highlights the transformative benefits of Predictive Communication Intelligence (PCI) in educational institutions, focusing on efficiency, stakeholder engagement, and institutional visibility. The article describes a tested process for educational institutions on how to effectively deploy PCI for their sustainable competitive advantage. The research work was made jointly with a team of researchers from a student start-up from the University Munich of Applied Sciences using their Predictive Intelligence (PI) platform called Predictores.ai. PCI enables time savings through automation, enhances data-driven communication, and achieves higher conversion rates in outreach efforts. Key outcomes include a 50% reduction in manual communication processes, a 25% increase in engagement rates, and a 35% improvement in campaign conversions. Additionally, PCI boosts brand visibility, increases journal publications by 15–20%, raises student applications by 30%, and improves global university rankings. By aligning with key performance indicators, PCI establishes a benchmark for innovation and impact in academic communication, redefining success in higher education positioning.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-90302-1_14
DOI: 10.1007/978-3-031-90302-1_14
as

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