Financial ServicesBusiness Intelligence & Analytics

From Confusion to Clarity

Using analytics to understand investment withdrawals and redemption behaviour.

Objective

Identify redemption patterns across products and customers to inform marketing, sales, product development and pricing.

The challenge

The firm struggled to retain investments long-term as the average redemption-to-investment ratio climbed. The BI team analysed transactions to explain the increase.

Approach & analysis
  • Analysed AUM movement over four years and within the fiscal year using a data warehouse and Tableau (daily refresh).
  • Split existing vs new customers, then positive vs negative AUM movement, profiling each on personal, account and service attributes.
  • Examined redemption-to-investment ratios by product and by sales-load status.
Key insights
  • AUM rose 65% over four years — attributable 105% to sales growth and −5% to market.
  • Equity-fund AUM fell 32%, driven mostly by negative sales growth.
  • Retail clients had the highest redemption-to-investment ratio at 97% vs a 79% company average.
  • Transactions without a sales load were far more prone to redemption (84% vs 65%).
Solution
  • Engaged an external consultant for in-depth interviews with high-redemption, low-AUM customers.
  • Ran face-to-face and telephone surveys across three major cities and both low/high redemption groups.
  • Used findings to set strategic direction on products, service and pricing.
Results
+65%AUM growth over four years
97%Retail redemption-to-investment ratio surfaced
TargetedRetention focus on at-risk investors