The increasing number of events organized by educational institutions necessitates more accurate assessment of their effectiveness and the factors influencing audience participation. In this regard, the aim of the study is to substantiate an approach to improving the efficiency of invitation campaigns based on data analysis and the application of clustering methods. The empirical basis of the study includes data on more than 500 events conducted over a five-year period, with a total audience exceeding 11,000 participants. The analysis is based on statistical methods, cluster analysis, and behavioral parameter analysis, including registration timing and repeat participation. The results demonstrate that parameters related to registration and repeated participation can be effectively used to assess audience activity. These findings have a positive impact on the event preparation process.