This guide presents six machine learning solutions marketers can use to boost performance. It covers customer segmentation, churn prediction, CX analysis, semantic SEO, market basket analysis, and influencer detection. Techniques like clustering, Random Forest, topic modeling, NLP, and network analysis help reveal insights hidden in complex data. The report promotes low-code tools like KNIME to cut lead times and enable collaboration between marketers and data experts. A case study shows how a retailer used KNIME to personalize 200,000+ product ads, cutting campaign setup time in half.

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