iCore Business Solutions
BI & AnalyticsFinancial Services

From Churn to Loyalty

Predictive churn modelling to spot at-risk investors early and protect future revenue.

20→45%
Cross-sell rate
15→55%
VAS activation
-50%
Dormancy

The challenge

The company faced rising customer dormancy and needed to retain individual investors, predict churn likelihood and reactivate the 45% of inactive customers before they redeemed.

Our approach

  • Compiled investor data into a data warehouse and analysed it with Tableau.
  • Identified that churning customers typically invested once, in a single fund, and never used value-added services.
  • Shared formal insight reports with stakeholders for timely preventive action.

The results

  • Cross-selling rose from 20% to 45% over a year and value-added-service activation from 15% to 55%.
  • Customers using value-added services showed 50% lower dormancy.
  • Additional 25% of existing investors diversified into other products.