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Driving Retention & Growth with Customer Health Score Analytics

Impact Delivered

  • Improved retention
  • Higher CLV & upsell
  • Early churn intervention
  • Predictive insights
  • The Challenge

    The Challenge

    3D-Priniting-Challenges-Img.jpg

    Teams without a unified, KPI-driven view of customer health needed to evolve from reactive management to a standardized, predictive model that consolidates data sources, delivers actionable insights, and enables proactive engagement. This required them to:

    • Consistently identify churn-risk customers across all segments
    • Establish a KPI-driven, pillar-based evaluation framework
    • Make insights interpretable and usable for multiple stakeholders
    • Predict future behavior to time interventions and optimize engagement
  • The Solution

    The Solution

    the-solution-img_nextiva.jpg

    A weighted Customer Health Score (CHS) with dashboards and CRM integration:

    • 6-pillar CHS framework: Robust health definition across six key pillars.
    • Pillar-wise KPIs & scores: Detailed metrics and scores by pillar.
    • Weighted overall score: Single composite CHS for a unified view.
    • Segmentation: Red/Orange/Green tiers to prioritize actions and resources.
    • Insightful Tableau dashboards: Context on dynamics, sentiment, market activity, and support levels.
    • CRM integration: Centralized data and embedded workflows for action.
    • Delivered assets (from source): 25 KPIs; 50 Tableau dashboards; 15 data pipelines; 50 dbt models; ~10,000 LOC; 5 production releases; advanced analytics & ML models.
  • Solution Components

    Solution Components

    Tableau; dbt; CRM integration; Data pipelines; Advanced analytics/ML

  • The Results

    The Results

    The CHS program standardized visibility and enabled proactive management:

    • Proactive risk management: Earlier detection and intervention improved retention.
    • Deeper customer understanding: Clear read on satisfaction and relationship health.
    • Predictive behavior: Forward-looking guidance for timely engagement.
    • Revenue impact: Higher CLV through targeted upsell/cross-sell opportunities.
    • Data-driven decisions: Consistent, actionable insights across sales, success, support, and leadership.

Impact Delivered

  • Improved retention
  • Higher CLV & upsell
  • Early churn intervention
  • Predictive insights

The Challenge

3D-Priniting-Challenges-Img.jpg

Teams without a unified, KPI-driven view of customer health needed to evolve from reactive management to a standardized, predictive model that consolidates data sources, delivers actionable insights, and enables proactive engagement. This required them to:

  • Consistently identify churn-risk customers across all segments
  • Establish a KPI-driven, pillar-based evaluation framework
  • Make insights interpretable and usable for multiple stakeholders
  • Predict future behavior to time interventions and optimize engagement

The Solution

the-solution-img_nextiva.jpg

A weighted Customer Health Score (CHS) with dashboards and CRM integration:

  • 6-pillar CHS framework: Robust health definition across six key pillars.
  • Pillar-wise KPIs & scores: Detailed metrics and scores by pillar.
  • Weighted overall score: Single composite CHS for a unified view.
  • Segmentation: Red/Orange/Green tiers to prioritize actions and resources.
  • Insightful Tableau dashboards: Context on dynamics, sentiment, market activity, and support levels.
  • CRM integration: Centralized data and embedded workflows for action.
  • Delivered assets (from source): 25 KPIs; 50 Tableau dashboards; 15 data pipelines; 50 dbt models; ~10,000 LOC; 5 production releases; advanced analytics & ML models.

Solution Components

Tableau; dbt; CRM integration; Data pipelines; Advanced analytics/ML

The Results

The CHS program standardized visibility and enabled proactive management:

  • Proactive risk management: Earlier detection and intervention improved retention.
  • Deeper customer understanding: Clear read on satisfaction and relationship health.
  • Predictive behavior: Forward-looking guidance for timely engagement.
  • Revenue impact: Higher CLV through targeted upsell/cross-sell opportunities.
  • Data-driven decisions: Consistent, actionable insights across sales, success, support, and leadership.
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