Automated Subscription Revenue Optimization with Predictive Retention

Overview

This workflow automates daily subscription revenue analysis and customer retention for businesses using Stripe. By integrating with Postgres, Gmail, and predictive analytics, it streamlines the identification and engagement of high-risk and upsell-ready customers.

Key Features

• Daily Revenue Analysis: Scheduled triggers initiate daily data pulls from Stripe and Postgres.
• Predictive Retention: Custom code and analytics nodes assess customer churn risk and upsell opportunities.
• Automated Campaigns: High-risk customers receive targeted retention emails via Gmail, while upsell candidates are sent personalized offers.
• Dynamic Filtering: Conditional logic ensures only relevant customers are contacted, optimizing campaign effectiveness.

Benefits

• Increased Retention: Proactively addresses churn, improving customer lifetime value.
• Revenue Growth: Identifies and acts on upsell opportunities automatically.
• Time Savings: Eliminates manual data analysis and campaign management.
• Seamless Integration: Connects Stripe, Postgres, and Gmail for a unified workflow.

Use Cases

• SaaS businesses aiming to reduce churn and boost recurring revenue.
• Subscription services seeking automated, data-driven retention and upsell strategies.
• Teams looking to streamline revenue analytics and customer engagement.