Subsets

Subsets is an AI-powered retention platform for subscription media companies. It uses machine learning to predict audiences across the subscriber lifecycle, from acquisition to churn risk, and helps commercial teams run experiments without coding. The platform surfaces behavioral drivers behind churn, allows A/B testing on predictive audiences, and automatically analyzes results for metrics like retention rate and LTV. Successful experiments can be turned into ongoing automations. Subsets integrates with existing subscription, CRM, and product data sources to deliver a unified subscriber view. Its predictive audiences cover the full lifecycle, while explainable AI identifies key behaviors influencing retention. The platform is purpose-built for commercial teams at publishers, streaming services, and e-commerce subscription businesses, enabling them to operate independently of engineering. Key features include AI-predicted audiences, explainable churn insights, no-code A/B testing, automated statistical analysis, and one-click conversion of experiments into automation. Subsets trains a unique ML model on each customer's first-party data, ensuring tailored insights. Backed by Y Combinator and FinTech Collective, the platform has demonstrated results like an 11.7% retention lift with The Daily Mail. Unlike general marketing automation or analytics tools, Subsets specifically targets retention experimentation and automation for subscription media. It focuses on predictive audiences, explainable AI, and an experiment-to-automation workflow, making it a specialized solution for subscription-first businesses compared to broader platforms like Braze or Iterable.