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How machine learning enhances customer segmentation

One of the key challenges that marketing teams must solve is allocating their resources in a way that minimizes “cost per acquisition” (CPA) and increases return on investment. This is possible through segmentation, the process of dividing customers into different groups based on their behavior or characteristics. Customer segmentation can help reduce waste in marketing campaigns. If you know which customers are similar to each other, you’ll be better positioned to target your campaigns at the right people. Customer segmentation can also help in other marketing tasks such as product recommendations, pricing, and up-selling strategies. Customer segmentation was previously a… This story continues at The Next Web

What is semi-supervised machine learning?

Machine learning has proven to be very efficient at classifying images and other unstructured data, a task that is very difficult to handle with classic rule-based software. But before machine learning models can perform classification tasks, they need to be trained on a lot of annotated examples. Data annotation is a slow and manual process that requires humans to review training examples one by one and giving them their right labels. In fact, data annotation is such a vital part of machine learning that the growing popularity of the technology has given rise to a huge market for labeled data. From Amazon’s Mechanical Turk… This story continues at The Next Web

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