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September 10, 2025International Journal of Science and Research Archive

Enhancing customer retention using predictive analytics and personalization in digital marketing campaigns

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Authors

EDEsther Abla DorgbefuCapital Group (United States)

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Overview

This analysis demonstrates how predictive analytics and personalization improve customer retention, suggesting effective digital marketing strategies.

Key Points

  • Predictive analytics improves customer retention by identifying at-risk customers and personalizing interventions.
  • Techniques like churn modeling and lifetime value forecasting significantly enhance engagement and loyalty.
  • Personalization technologies enable brands to deliver tailored messaging across digital platforms, increasing satisfaction.
  • Challenges such as data silos and algorithmic opacity must be addressed for effective predictive modeling.

Cite This Study

Esther Abla Dorgbefu (2021) studied this question.

synapsesocial.com/papers/68c1e30854b1d3bfb6100811https://doi.org/10.30574/ijsra.2021.4.1.0181
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