Customer churn prediction for SaaS companies
machine learning expertise
in data science services
Prevent revenue loss by reducing churn
SaaS companies typically struggle with annual churn rates as high as 36 – 76%1 — and much of it is preventable. Our approach for customer churn prediction combines machine learning and customer experience strategy to help you reverse attrition.
Deep industry expertise
Service Contract Renewals
Technology & IoT
Financial Services & Fintech
Why choose Beyond the Arc?
We help your customer success teams take action
Customized machine learning algorithms, predictive models, and statistical analysis can help to rank at-risk customers based on a combination of likelihood to cancel and monetary value.
We combine data science and CX strategy
Our rigorous business analysis helps identify customer experience triggers, and we map journeys to data sources so predictive churn models accurately reflect how you do business. It enhances customer churn prediction, and helps you develop engagement strategies that preserve relationships, improve touch points, and increase customer lifetime value.
We start delivering value right away
Our years working in the tech industry enable us to ramp up fast to understand your business, and apply a strategic perspective to more quickly target the right data, create the best predictive models, and help you put insights into action.
Ready to reverse attrition?
Let’s collaborate to uncover your root causes of customer dissatisfaction and churn, and help you develop a customer-focused action plan to drive improvements.
Boosting customer retention by just 5% leads to a profit increase of 25% to 95%2
1 SaaS Churn: How to find and benchmark churn rates for SMBs and Enterprises, Kalungi, Dec 2020
2 Customer Churn: What Is It? And How Do You Reduce It?, Proof Technologies