Advanced Data Science Capabilities
Seer combines automated analysis with domain expertise to deliver actionable insights.
Customer Behavior Analysis
Automatically segments customers based on usage patterns, identifies at-risk cohorts, and predicts lifetime value trajectories.
Churn Pattern Detection
Discovers leading indicators of customer churn through advanced statistical analysis and time-series pattern recognition.
Predictive Feature Engineering
Creates powerful features like engagement decay, support interaction velocity, and feature adoption curves that boost model accuracy.
The Bridge from Data to Prediction
Seer transforms raw customer data into ML-ready features, enabling Tensor to build high-performance churn prediction models.
Beyond Churn Prediction
Seer's analytical capabilities extend across all customer lifecycle stages and business intelligence needs.
Customer Lifetime Value
Predict CLV using purchase history, engagement metrics, and support interactions to optimize acquisition spend.
Product Adoption Analysis
Identify feature usage patterns and predict which customers will upgrade or expand their subscription.
Campaign Effectiveness
Analyze marketing campaign impact on customer behavior and identify the highest-converting segments.
Cohort Analysis
Track customer cohorts over time to understand retention patterns and identify successful onboarding strategies.
Revenue Forecasting
Predict future revenue streams based on customer growth, expansion, and churn patterns.
Risk Assessment
Identify customers at risk of payment issues, contract non-renewal, or service downgrade.