How to predict customer churn and save money

Showroomprive Success Story

Cover

Acquiring new customers is more expensive and time consuming than retaining your current ones—but how do you keep your customers from moving on?

A good data science tool partnered with predictive churn prevention tactics can help.

Read this case study to learn how Showroomprive.com—one of Europe’s leading e-commerce players—developed a strategy that was able to predict customer churn with 77% accuracy.

Vendor:
Dataiku
Posted:
16 May 2019
Published:
31 Dec 2018
Format:
PDF
Type:
Case Study
Language:
English
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