Dataro
91 Case Studies
A Dataro Case Study
Greenpeace Australia Pacific, a global environmental organization, needed to shift from a reactive to a proactive approach to reduce silent attrition among its recurring monthly donors. They partnered with Dataro and used its machine learning-powered churn prediction service to identify at-risk donors before they canceled or lapsed.
Dataro implemented a propensity model that accurately predicted both active and passive churn. This allowed Greenpeace to test targeted interventions, finding that telephone calls were the most effective. As a result, Dataro helped Greenpeace achieve a 15% reduction in churn over six months for donors who received a call, with the model's predictions proving to be within 2% of actual outcomes.