Stay or Go? The science of departures from superannuation funds

Superannuation funds lose thousands of members to competitors and SMSFs every year. Therefore, to win the scale war, funds will need to harness the data they have at hand. Analysis of this kind can assist a fund to understand which members are most likely to depart their fund and thereby develop better member retention strategies.

This paper analyses a sample of 5.6 million unique superannuation accounts from Rice Warner’s Superannuation Insights study. Using this data, we present a framework through which actuarial and machine learning techniques can be applied to help predict which members will exit a fund.

To read the full paper, click on the below link.