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What if you knew how delinquent accountholders would react to treatment?

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Using advanced techniques, you can anticipate how individuals will react to various treatments, and forecast the impact on your key performance indicators. You can select treatments that influence customer behavior in the right direction. You can auto-assign the most-likely-to-succeed treatment to each and every account in high volumes. This paper discusses using action-effect modeling and optimization to answer the questions: • Would changing treatment influence consumer behavior? • How do we get the biggest gains from the least effort?
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