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Subsets

AI-driven lifecycle experimentation and automation for consumer subscriptions

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Subsets is a retention automation platform for consumer subscription businesses. It trains a machine learning model on a company's first-party data to predict audiences across the subscription lifecycle, identify behavioral drivers behind churn, and surface retention, engagement, and upsell opportunities. Commercial teams can run A/B experiments on these audiences through existing channels without coding.

The platform includes predictive audiences, explainable AI for behavioral context, and automated experiment analysis across metrics such as retention rate, lifetime value, sessions, pageviews, and articles read. It detects statistical significance and converts successful experiments into always-on automations. Integrations span CRM, analytics, data warehouse, billing, CDP, and engagement tools, including Braze, Salesforce Marketing Cloud, Snowflake, BigQuery, Stripe, Amplitude, mParticle, and Iterable.

Subsets is designed for commercial teams in publishing, streaming media, and e-commerce. Access is available through a demo request.

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