ANN Based Model for Churn prediction In short: ANN-based churn prediction helps businesses reduce customer loss, save costs, and grow revenue by identifying at-risk customers early.
Website link is here, https://annbasedchurnprediction-3bsvkxq3bn88zbm7mydnby.streamlit.app/
Why use ANN for churn prediction?
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Can capture complex, non-linear patterns in customer behavior.
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Works well with large datasets containing multiple features.
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Provides higher accuracy compared to simple statistical models.
Who will use it?
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Telecom companies – to predict which customers may leave.
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Banks/FinTech – to identify customers who may close accounts.
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E-commerce & Subscription services – to detect customers likely to cancel.
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Insurance companies – to anticipate policy dropouts.
Benefits:
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Proactive retention: Helps target at-risk customers with offers.
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Cost saving: Retaining existing customers is cheaper than acquiring new ones.
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Personalized marketing: Tailors campaigns to customer needs.
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Business growth: Improves customer lifetime value (CLV).