Finding customers based on traditional marketing tactics is now old hat. Now, when it comes to finding customers, machine learning is the main attraction. Old solutions required sales and marketing teams to create generic personas that would then be assigned to customers by focusing on broad similarities. But with the advent of big data mining, this one-size fits all just isn’t cutting it anymore. Customers and clients all want a more personalized experience and businesses are serving just that by switching over to a more customer-focused and personalized offering model.
Today’s organizations and businesses are being driven by customer experience, and those who make it their number one priority are the ones who will really stand out from the competition. Businesses can give more personalized offerings to their customers and ultimately drive higher conversions by building ideal customer profiles. These profiles can answer questions such as “which customers will buy next month?”, “what marketing content is the best for a particular client?”, and “what customers will be our largest spenders?” Answering these kinds of questions will lead businesses to target the right individuals and ideal customers all through the use of big data mining and predictive analytics through machine learning. And …
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