Alkami Launches First Engagement Artificial Intelligence (AI) Predictive Model for Financial Services Industry
Empowers financial institutions to grow relationships with their most engaged account holders
Financial institutions can use an attrition model to identify account holders that have a high risk of leaving, allowing the institution a chance to develop win-back strategies. According to
"When we looked at the full spectrum of attrition scoring, our research showed that attrition is significantly lower among highly engaged account holders, so we developed a model that not only identifies these highly engaged account holders but also layers in Alkami's KLIs—labels describing the type of transaction or behavior a customer or member engages in—to best predict which behaviors drive incremental engagement," said
"The model assesses the entire universe of a financial institution's account holders on a daily basis to identify those account holders exhibiting behaviors that have historically led to deeper engagement," Leher continued. "This allows the financial institution to auto-surface highly relevant campaigns that are more effective at driving growth. Not only does this save on account acquisition costs, but it also empowers the financial institution to engage with those who are more likely to take action on a targeted campaign."
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