Capture and retain deposits from your account holders. Focus outreach on highly engaged account holders to drive deposit growth.
AI-driven data tags for deposit growth:
AI High Engagement
AI Medium Engagement
AI CD Cross-Sell
Predict the next-best loan offer for your account holders. Identify account holders who demonstrate behaviors most likely to lead to loan adoption.
AI-driven data tags for loan growth:
AI HELOC Cross-Sell
AI Mortgage Cross-Sell
AI Auto Loan Cross-Sell
AI Personal Loan Cross-Sell
Maintain and grow a stable account holder base. Forecast your account holders’ level of engagement. Personalize messages based on their engagement with your institution.
AI-driven data tags to engage account holders:
AI Attrition Risk Positive
AI Low Engagement
AI High Engagement
Scale smarter with predictive AI
Harness the power of artificial intelligence in banking to create highly personalized marketing campaigns.
Reach millions with tailored messages crafted from individual preferences and behaviors, driving superior engagement, growth, and retention.
Advanced predictive AI models analyze spending and behavioral patterns to anticipate account holders’ financial behaviors and needs, enabling precise targeting that enhances conversion rates and significantly increases ROI (return on investment).
About predictive AI
Drive results with outcome-based artificial intelligence in banking.
Capable
15+ years of data modeling and analysis experience for regional and community banks and credit unions.
Comprehensive
Leverages proprietary Data Insights, built from analysis of billions of transactions. Detects transactions daily.
Compliant
Satisfy regulatory requirements with predictive AI models that are purpose-built for the financial industry.
Catalytic
First-of-its-kind predictive AI model to understand account holder engagement levels and attrition risk.
How we do it
Artificial intelligence in banking is fueled by data. Great data is the key to accurate predictive AI models. Our process takes the high-quality, enriched first-party data we produce for financial institutions as inputs to our machine learning process.
Start with the outcome you want to achieve, such as increasing revenue by cross-selling HELOCs to mortgage account holders.
Analyze account holders who have achieved the outcome. Alkami reviews the behavior of HELOC holders six months before they opened their HELOC.
Identify account holders with similar behavior who have not yet achieved the outcome. Alkami finds account holders without a HELOC who show similar behaviors and tags them as likely candidates for a HELOC.
“The data from the engagement model has been a game-changer for us. We are now empowered to be proactive with these account holders and nurture the relationship to limit churn.”
Cheryl Dutton
SVP & Chief Marketing Officer
|
Altra Federal Credit Union
“The AI cross sell model helps target members we may have missed with the initial list… Without this AI model, we would’ve missed out on those prospects.”