Understanding and catering to account holders’ unique needs is crucial as expectations continue to rise for banks and credit unions to individualize touchpoints and offer tailored products and services. With the help of data analytics in banking, financial institutions can gain a comprehensive view of their account holders’ finances, including those held outside their primary banking system. This insight is made possible through tools like Alkami’s Aggregated Account Key Lifestyle Indicators (KLIs)*, which are transforming financial services marketing by providing a detailed blueprint into users’ financial behaviors.
A KLI, or Key Lifestyle Indicator, is a data tag derived from transaction data, capturing essential aspects of account holders’ financial behaviors. These indicators are vital for financial institutions aiming to refine their marketing campaigns and product strategies. By integrating these KLIs, financial institutions can personalize services and sharpen their competitive edge, ultimately enhancing user engagement and satisfaction.
KLIs offer several strategic benefits:
Aggregated Account Provider KLIs reveal which external financial institutions your account holders are engaging with so you can gather a complete understanding of their finances. These KLIs provide intel into which specific institutions your account holders have deposit, investment, loan, mortgage, or credit card balances. This insight allows your institution to leverage data analytics in banking to:
Understanding the diversity and extent of your account holders’ financial relationships across various accounts is vital. The number of aggregated account KLI allows you to understand account holder deposit, loan, mortgage, credit card, and investment accounts. With this data, financial institutions can:
This set of KLIs provides insights into the total balances that account holders have in external aggregated accounts for mortgages, loans, deposit accounts, investments, and credit cards. Effective strategies include:
Identify account holders with a change in their account or loan balances over the last thirty days. Target account holders by selecting from among multiple bands based on the percent change in the account or loan balances.
By monitoring changes in account and loan balances, financial institutions can:
Integrating various KLIs allows financial institutions to target account holders more effectively by understanding their full financial picture. This approach not only aids in recapturing funds but also enhances retention through personalized and strategic financial services marketing.
In conclusion, data analytics in banking is more than just a technological advantage—it’s a pivotal part of understanding and responding to the complex financial needs of today’s consumers. By effectively using these tools, financial institutions can not only improve their operational efficiencies but also provide superior service that meets the evolving demands of their account holders.