Predictive Customer Journeys: Leveraging Data Analytics to Map and Influence Digital Touch points
Authors: Shafeeq Ur Rahaman
DOI: https://doi.org/10.5281/zenodo.14352146
Short DOI: https://doi.org/g8t7mz
Country: India
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Abstract: The Predictive customer journeys map and shape key points in contact throughout the lifecycle of a customer with a brand, using data analytics. These businesses can identify patterns within significant amounts of customer information that reveal what future behaviors will be like and proactively frame marketing strategies based on where and when they are most apt to execute. This not only enhances the personalization of content within the customer experience but also engagement, satisfaction, and loyalty. Predictive analytics tools harness machine learning, artificial intelligence, and big data to model and predict customer behavior so that brands can design highly targeted interventions that truly resonate with their audience. This only means the capability of foreseeing when a customer is most likely to make a purchase or engage with a brand helps marketers maximize their efforts and further their conversion rates by better optimizing resources. Besides this, predictive analytics helps the firm in mapping potentially churn points to devise retention strategies before one goes away. This article covers some methods, technologies, and real-world applications of predictive customer journey mapping and offers an insight into how businesses can leverage data-driven strategies to foster deeper relationships with customers and achieve long-term success.
Keywords: Predictive Analytics, Customer Journey, Data Analytics, Digital Touch points, Customer Engagement, Personalization, Customer Loyalty, Machine Learning, AI, Marketing Strategy, Customer Retention, Big Data, Digital Marketing, Consumer Behavior, Targeted Interventions
Paper Id: 231791
Published On: 2021-10-06
Published In: Volume 9, Issue 5, September-October 2021
Cite This: Predictive Customer Journeys: Leveraging Data Analytics to Map and Influence Digital Touch points - Shafeeq Ur Rahaman - IJIRMPS Volume 9, Issue 5, September-October 2021. DOI 10.5281/zenodo.14352146