Score
Identify and score top prospects using best-in-class AI models
Segment
Segment clients by est. investable assets, income ranges, and more
Close
Help boost close rates
Cross-Sell
How the Catchlight Score helps identify leads for cross-selling
For illustrative purposes only
Brian
VP of Marketing
Large Regional Bank
200k Retail Customers
Problem
Identifying which retail bank clients are the best fit for wealth management and how to engage them
Top goal
Increase the number of wealth clients
It can be challenging to identify which bank customers would be the best prospects for a wealth management relationship.
Brian has been tasked with growing the bank’s wealth management customer base and believes there’s an opportunity to move a significant number of the retail bank customers into a wealth management relationship.
The bank’s data science team has been using customer information stored in its database (such as account balances, estimated annual income and household address) to pinpoint the best wealth management prospects for targeted marketing campaigns and outreach by advisors. However, their conversion rate has been less than 0.5%, which is well below management’s expectations.
Brian has been tasked with growing the bank’s wealth management customer base and believes there’s an opportunity to move a significant number of the retail bank customers into a wealth management relationship.
The bank’s data science team has been using customer information stored in its database (such as account balances, estimated annual income and household address) to pinpoint the best wealth management prospects for targeted marketing campaigns and outreach by advisors. However, their conversion rate has been less than 0.5%, which is well below management’s expectations.
