Change in membership: AI as the key to success?

Change in membership: AI as the key to success?

In the Munich district group, the full membership survey from October 2012 causes a sensation and could serve nationwide as a model for personalized membership recruitment. This initiative, which moved more than 30 % of the 1,300 members to feedback, shows how important it is to respond to individual wishes. Nevertheless, some concerns show whether artificial intelligence (AI) is sufficient to effectively gain new members. A strategically thought -out marketing approach is essential to be successful. As from siebenbuerger.de , a KI could be an advantage for evaluating membership surveys, but without a solid database is limited.

The role of artificial intelligence

Barbara Hammer, professor of machine learning at the University of Bielefeld, emphasizes in her research the versatile applicability of machine learning methods. Their expertise extends to the development of algorithms, which are important in technology and in life sciences. This illuminates the exciting possibility of how AI could be used in membership recruitment, for example by analyzing membership data, to develop targeted approaches to address. According to ki2025.gi.de Hammer has significant experiences in the application of AI, which could be the directional for the optimization of membership acquisition.