From the course: Predictive Customer Analytics

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Apply analytics to the customer lifecycle

Apply analytics to the customer lifecycle - Python Tutorial

From the course: Predictive Customer Analytics

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Apply analytics to the customer lifecycle

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- We briefly discussed the customer life cycle earlier. Now you may be wondering where can predictive customer analytics help in that cycle for better outcomes for your business? Well, it starts with customer acquisition. Customer analytics can identify customers who are most likely to buy your products and services through attribute and behavioral analytics. It can identify the right channels like email, phone or social media to contact these prospects. It can also be used to data mine price points and discounts that will most likely attract prospects. The next stage where predictive customer analytics can help is in upselling. When a customer buys a product they most likely want complimentary products. For instance, a laptop buyer would need cases, cables, and warranty. Predictive customer analytics can help identify the products and brands that a buyer of a given product brand would buy and help the business to…

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