CMO Times’ Post

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I published a customer segmentation and RFM Analysis on medium https://lnkd.in/dKPpQmjG

Customers evolve, so don't get stuck in the past. Customer segmentation facilitates more personalized customer experiences, improved targeted marketing, and better data driven product development decision-making. If you're thinking about customer segmentation, we can help deliver the insights you and your team need to unlock the power of segmentation. #customersegmentation #customerinsights #segmentation

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"Customer Segmentation with K-Means Clustering" K-Means Clustering is a game-changing technique for customer segmentation. By grouping similar customers together based on their characteristics and behavior: - Tailor your marketing strategies to specific segments. - Increase customer engagement and loyalty. - Identify new business opportunities. With K-Means Clustering: - Analyze customer data and identify patterns. - Create targeted campaigns that resonate with each segment. - Measure and optimize your marketing efforts. #CustomerSegmentation #KMeansClustering #MarketingAnalytics #Personalization #CustomerExperience

I have completed my task 2 given by CODTECH IT SOLUTIONS. This task helped me to know more about the ML algorithms and got to know about the customer segmentation analysis. 😊 Customer segmentation through clustering techniques like K-means and DBSCAN allows businesses to identify distinct customer groups based on purchasing behavior. This analysis provides valuable insights that can inform targeted marketing strategies, product development, and customer relationship management.

WordStream by LocaliQ does a good job breaking down nine essential customer segmentation models. These insights are useful for anyone looking to tailor their marketing strategies and improve customer connections. https://lnkd.in/gMrQ4XkN #CustomerSegmentation #MarketingOptimization

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