Financial Services
Increase Net New Revenue with Right Sized Investments
Improve Customer Retention
With the help of IKASI’s sophisticated algorithms, targeted groups saw an increase of 150% in the expected renewal rate.
What We Do
Integrated Causal AI for Financial Services
IKASI drastically improves approval rates, detects variable pricing to improve loan uptake, and identifies which lost customers can be reactivated and which to upsell.
Improve Credit Risk
IKASI AI runs simultaneous experiments on varying interest rates, fees, and credit limits for high risk customers. It detects opportunities to increase approval rates with marginal user profitability and reduce loss rates through credit limit reduction based on customer credit risk.
Improve Application Response Rates
IKASI AI continuously improves the predictability of individual responsiveness to lower interest rates and rewards for low risk customers.
Increase Loan Uptake and Transaction Volume
IKASI improves the effectiveness of rewards, promotions, and variable pricing on loan uptake and increasing transaction volumes for each individual.
Insurance Company Case Study
Challenge
A large insurance company was looking to tactically apply promotions to improve customer retention across multiple insurance products.
Solution
IKASI causal AI ran concurrent experiments on rejected applications to determine which credit terms should be amended. IKASI was able to differentiate applicant risk and provide risk-based credit terms, offering varying interest rates, fees, and credit limits based on each individual.
Results
A granular analysis and recommendations of approval and loss rates proved to be highly profitable and successful.
Want to see if IKASI can deliver the same results for your company?
See results in days. Exceed revenue goals. Outpace the competition.
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