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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.

Non-Contractual Churn Classification
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By: Peak Latest Version: 1

Product Overview

You can’t grow your business effectively if customers are leaving too often, and it’s important to know what can turn a good customer into a great one. However, for non-contractual business models - including most retailers - customer churn can be difficult to define, as customers aren't locked into structured buying schedules, and a customer who has been away for a period of time might potentially return. This product applies survival analysis to determine appropriate churn-point definitions from simple transactional data, and uses the output model to classify the churn status of customers.

Key Data

By Peak
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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Non-Contractual Churn Classification

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