Veltora – ML-based churn risk predictor benchmarked to real company data

Summary: Veltora uses a weighted logistic regression model to predict customer churn risk, calibrating scores against data from over 35 companies including Netflix, Salesforce, and AT&T. It provides industry-specific benchmarks across nine sectors to contextualize churn risk scores for 2024–2025.

What it does

Veltora generates calibrated churn risk scores by applying machine learning to user metrics and compares them to real-world benchmarks via a portfolio dashboard segmented by industry and company.

Who it's for

It is designed for professionals in customer success, revenue operations, and industries such as SaaS, Telecom, Fintech, Media, Retail, and Healthcare.

Why it matters

It addresses the lack of context in churn predictions by grounding risk scores in validated benchmarks, enabling better interpretation of churn risk levels.