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How can we use AI to perform predictive analytics in customer success using past data? Additionally, which models are most effective for churn prediction and tracking usage trends?

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  1. Meenal Shukla
    Meenal Shukla

    Zoom Head of Scaled Customer Success, Onboarding, Learning and Adoption • 8mo

    I may not be the right person to talk about AI models but here is what we have done: Health Score Modeling & Risk Prediction We've deployed machine learning models that analyze usage patterns, support ticket frequency, login cadence, and feature adoption rates to generate dynamic health scores. Our models flag accounts showing early warning signs 60-90 days before typical churn indicators appear - things like declining DAU/MAU ratios or reduced engagement with core features. Behavioral Cohor ...Read More

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