Case Study Predictive Communication Intelligence for Educational Institutions

Claudia Gabler (), Tim Seebacher and Uwe Seebacher ()
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Claudia Gabler: FYNEST International
Tim Seebacher: FYNEST International
Uwe Seebacher: Academic Institute for Qualified Methods and Professional Structures (AQPS)

A chapter in Mastering CommTech, 2025, pp 329-366 from Springer

Abstract: 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.

Keywords: Predictive communication intelligence (PCI); Educational institutions; Stakeholder engagement; Data-driven strategies; Artificial intelligence (AI); Predictive analytics; Institutional visibility; CommTech tools; Academic positioning; Global rankings (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-90302-1_14

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DOI: 10.1007/978-3-031-90302-1_14

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