Segmint’s AI Modeling - an autoML AI Modeling engine - is specifically designed to use Key Lifestyle Indicators® (KLIs) as model inputs, taking advantage of the full universe of insights assigned to customers. These insights describe product openings, banking behaviors, account activity, held-away payment behavior, and merchant spend patterns.
Segmint’s AI Modeling is designed to analyze each KLI in an unbiased manner and identify the most predictive variables to incorporate into any model.
Often predictive modeling solutions take months to get in market and by that time, the results are stale. Because Segmint leverages transaction and product data observed on a daily basis, we provide an on-demand approach. We quickly identify shifts in spend categories and banking behaviors and use those indicators to predict future customer behaviors. Finally, we make it simple. Integrating with the customer’s data once and continuously flowing data into our prediction models.
Our Attrition Model leverages a 360-degree view of the customer obtained from everyday customer spend data as well as data describing how customers use an FI’s products. We quickly identify shifts in spend categories and banking behaviors, using those indicators to provide on-demand lists of customers likely to attrit.
Cross Sell Models
Segmint’s on demand predictive cross sell models identify your account holders most likely to adopt a new product, increasing your chances of reaching the right audience at the right time with the right offer. Cross sell model results are deployed alongside a full suite of Customer Insights, so you can personalize your cross sell retention engagements, making each interaction relevant to the account holder’s unique financial journey and stage of life.
Integrations with our API
Institutions that utilize Segmint’s AI Modeling to identify account holders predicted to exhibit a behavior will have access to export the audience set via API endpoint (fully anonymized data set without PII).