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    SaaS

    How NexDiscovery Identified At-Risk Customers Before Churn

    NexDiscovery connected product, support, CRM, and billing data to surface early churn signals before revenue was lost. Declining usage drove 3x higher churn risk, while 68% of churn stemmed from missing early feature adoption.

    No financial commitment at this stage

    Runs entirely inside your environment. Nothing leaves.

    Results/CCO, CS Ops, RevOps
    3x
    Higher churn risk from declining usage
    68%
    Of churn traced to missing feature adoption
    2.4x
    Higher dissatisfaction from 6+ support tickets
    60 days
    Early intervention window identified

    The problem

    The company was losing customers, but churn signals surfaced too late to act on. Product usage, support, CRM, and billing data were siloed, so at-risk accounts weren't visible until revenue was already lost.

    • Customer risk signals were spread across disconnected systems with no unified view
    • No clear behavioral indicators of churn were visible until it was too late
    • Customer success teams were operating reactively instead of preventing issues
    • Revenue impact of churn was only understood after customers had already left

    How NexDiscovery worked

    1

    Connected product usage, support, CRM and billing

    NexDiscovery securely correlated all customer health signals within the client's environment, creating a real-time view of account risk across every data source simultaneously.

    2

    Identified behavioral patterns that predicted churn

    AI agents discovered that declining API usage drove 3x higher churn risk, and that 68% of churned customers had failed to adopt a key feature within their first 60 days.

    3

    Enabled real-time intervention before revenue was lost

    NexDiscovery surfaced at-risk accounts in real time with specific intervention signals, enabling customer success teams to act during the window when retention was still possible.

    The results

    • 3x higher churn risk identified early from declining API usage patterns
    • 68% of churn traced to lack of key feature adoption within the first 60 days
    • Six or more support tickets shown to signal 2.4x higher dissatisfaction
    • Customer success teams enabled to intervene earlier in the customer lifecycle

    Ongoing impact: The customer success team restructured onboarding around early feature adoption milestones, significantly reducing churn in new customer cohorts within the first two quarters.

    "Churn was not random. It was predictable. NexDiscovery made it visible early enough to act."

    Identified inside the client's environment. Figures are opportunities identified, not guaranteed outcomes. Client anonymized under NDA.

    Ready to stop churn before it happens?

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    No financial commitment at this stage

    Runs entirely inside your environment. Nothing leaves.