Brianna White

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Jul 30, 2019
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Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine learning applications as Software-as-a-Service or use them for streamlining internal processes such as data entry operations, sales and marketing. This article will discuss how machine learning has evolved the marketing industry and how companies leverage it for profits and growth.
What Is Machine Learning?
Machine learning is a branch of artificial intelligence that deals with predictive modeling and analysis based on historical data. In simple terms, it uses complex mathematical algorithms to extract useful, encoded information from structured data to make predictions regarding trends and behaviors.
Machine Learning Applications In Marketing
Market leaders have been using data and machine learning to improve their sales for years. This is done by understanding the customer base and making data-driven decisions. Machine learning has several uses in marketing—let’s discuss some of them below.
• Customer Segmentation: Create divisions among customers based on their usage patterns, purchase histories, demographics or all of these. These divisions can be used to create personalized marketing campaigns for increased customer satisfaction and marketing success rate.
• Recommendation Systems: Machine learning-based recommendation systems are designed to keep your customers hooked on new products. These systems use models that contain information about the purchase history of each customer and know what would appeal to them. Such systems help boost sales and increase customer interaction.
Continue reading: https://www.forbes.com/sites/theyec/2022/11/08/introduction-to-machine-learning-for-marketing/?sh=36bbc3a917b0
 

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