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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Cross-Sell - Insurance

By: ElectrifAi LLC Latest Version: 1.0.1

Product Overview

Target customers via 360-degree customer characteristics (such as company relationship, wallet size and product demand) to predict score of cross-sell propensity. Applying to all industries, this trained propensity model selects a sub-set of customers likely to buy another business line. For example, auto insurance to cross-sell life insurance or life insurance to cross-sell personal loans. With 4 times improvement in conversion rate, 83% reduction in modeling and scoring, and a $7 million increase in revenue, this model has been very successful. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact for subscription service pricing. SKU: XSELL-PS-CCC-AWS-001

Key Data

By ElectrifAi LLC
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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