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We’ve worked with hundreds of leading retail brands that all struggle with the same issue. They invest a lot of marketing resources in acquiring new customers. But they struggle to find effective ways to get those customers to stick around and make repeat purchases. In this guide we are going to show you a better way to improve retention and reduce customer churn. It is based on the use of predictive analytics and machine learning coupled with continuous market testing to optimize retention while minimizing discounts. We’ll break it down into three phases—crawl, walk and run—that start simple and add complexity as value is delivered.
Read the whitepaper to learn:
1. Why predictive analytics and advanced segmentation are key to reducing customer churn
2. A step-by-step approach to building a predictive churn prevention program
3. A customer-focused way to measure the success of your lifecycle marketing programs
The Adobe 2018 Digital Trends report was recently released and it gave its readers some interesting insights into this year’s top marketing priorities around data, design, and technology. The report, which consisted of close to 13,000 participants from various industries including retail, e-commerce and the marketing agency sector, revealed the trends that distinguished the […]