More and more credit unions are utilizing “Household” level
information for member service initiatives ranging from marketing to risk.
However there is a lack of standard and cost-effective mechanism to perform this
Performing householding on membership has been a challenge
for the credit unions given the non-standard recording of the addresses.
Generally, a MCIF system/vendor can help
build the member level household list but this is an expensive proposition.
There is a realized need to have this information sorted to manage various
initiatives at household level.
As an alternative CU Rise has developed a ‘Householding’
algorithm. which groups the members into their respective households. This uses
data like last name, address, city, zip and home phone. It does not require any
CU Rise Householding application is a subscription-based service. It is
developed as a windows-based application with an extremely user friendly
interface. New features are continuously being added to the Householding Application to improve the accuracy and utility of the results derived
Create marketing efficiencies at household level
Implement risk mitigation strategies at household
Enhance cross-selling effort
Quick and easy to use
Doesn’t require any additional external input
Pick your own level of matching using ‘fuzzy’
Store and track multiple versions of matching
Contact us to implement this at your credit union. If you
are an OnApproach client, click here to visit the CU App Store to subscribe to
Thank you for contacting us. We will share the peer benchamrk report of your CU.