To address the high churn rate, I began by conducting in-depth user research, focusing on the primary demographic of users aged 25-32. By analyzing behavioral data and conducting surveys, I uncovered key pain points, such as cumbersome property search experiences and a lack of transparency in communication with agents. Using these insights, I designed targeted solutions, including a revamped search filter system and improved agent ratings.
To validate these improvements, I implemented rigorous A/B testing with a sample group, iterating on feedback and optimizing features for performance. Additionally, I introduced an in-app analytics dashboard for users to track their property interests and engagements, which significantly enhanced the overall user experience. These efforts collectively reduced churn by 25%, boosting app engagement and retention.