Predictive Analytics: Predicting Responses to Marketing Campaigns
Mohlomi Pholoana
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While growth has become a primary driver of business valuations and key performance indicators for executives, a renewed emphasis on profitability has led to greater attention being placed on cost-effective, tailored strategies for customer acquisition. This makes predicting the likely response of a prospect to a marketing campaign an increasingly important skill.
Discover how to predict the purchase intention of shoppers on e-commerce websites, beginning with cleaning the data and then exploring it for patterns using heatmaps and correlation analysis. Next, perform classification analysis to predict whether a shopper will purchase something. Then, explore different evaluation metrics such as the confusion matrix, recall, precision, and the F1-score.
Finally, you will predict whether a specific user responded to a marketing campaign and use feature selection to optimize the number of explanatory variables used in the process.
Issued on
January 29, 2025
Expires on
Does not expire