Retain Capital utilizes a supervised learning logistic regression AI platform to recover declined payment transactions for subscription companies, significantly reducing involuntary churn. By processing failed payments through a proprietary logic tree, the platform achieves a recovery rate of 30% to 50%, thereby increasing customer lifetime value and annual recurring revenue.
Funding
Funding not disclosed
Founders
Product
Problem
Subscription-based companies face significant revenue loss due to involuntary churn caused by declined payment transactions. Manually retrying failed payments is inefficient and often ineffective, leading to customer attrition and reduced annual recurring revenue (ARR).
Solution
Retain Capital offers an AI-powered platform that automatically recovers declined payment transactions for subscription businesses, mitigating involuntary churn. The platform uses a supervised learning logistic regression model to analyze failed payments and determine the optimal retry strategy. By processing failed transactions through a proprietary logic tree, Retain Capital achieves a recovery rate of 30% to 50%, directly increasing customer lifetime value and ARR. The system integrates with existing payment systems via a secure RESTful API, requiring minimal engineering effort from the client.
Target Audience
Retain Capital primarily targets subscription-based companies across various industries seeking to reduce involuntary churn and increase revenue recovery from failed payment transactions.
Features
- Supervised learning logistic regression model for analyzing failed payment transactions
- Proprietary logic tree to determine optimal retry strategy
- Secure RESTful API for seamless integration with existing payment systems
- Automated retry process, minimizing manual intervention
- Real-time dashboards providing insights into recovered transactions and revenue
- Customizable reporting to track key performance indicators (KPIs)
- Trial period to demonstrate platform effectiveness before full engagement