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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Real-Time Customer Journey Mapping: Combining AI and Big Data for Precision Marketing

Authors: Shafeeq Ur Rahaman;

Real-Time Customer Journey Mapping: Combining AI and Big Data for Precision Marketing

Abstract

The AI and big data have really transformed the way businesses understand and improve customer journeys. This article looks at how AI algorithms and big data analytics are integrated to map real-time customer journeys across touch points like online platforms, retail interactions, and social media engagements. This will enable businesses to draw actionable insights into customer behaviors, preferences, and pain points by applying machine learning models and predictive analytics. These insights provide the possibility of personalized, timely, and impactful interventions to improve customer satisfaction and drive conversions. Practical applications within industries ranging from retail to banking to e-commerce showcase how precision marketing strategies optimize customer engagement. Besides these, this all-encompassing roadmap toward implementing AI-driven customer journey mapping shows how data privacy, ethical considerations, and the complexity of multi-channel data integration form part of the challenges.

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    popularity
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    influence
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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