The startup offers a data-driven retention management platform that utilizes machine learning to enhance customer lifetime value and optimize upselling strategies. This platform equips customer success managers and sales and marketing teams with tools to systematically improve client retention for B2C and e-commerce businesses.
Funding
$2.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Subscription-based businesses often struggle to proactively identify and address customer churn due to manual processes and fragmented data. This reactive approach leads to missed opportunities for retention and increased costs associated with acquiring new customers. Traditional methods lack the real-time insights and personalized engagement needed to effectively combat churn at scale.
Solution
Churned is an AI-driven customer retention platform that unifies customer data from various sources to predict churn and recommend personalized actions. By integrating CRM, support, usage, financial, and marketing data, Churned provides a comprehensive customer overview. Its predictive AI models identify at-risk segments, while prescriptive AI suggests automated steps to retain, reactivate, and upsell to customers. This enables businesses to engage with customers through the right channel at the right time, reducing churn and maximizing customer lifetime value.
Target Audience
Churned is designed for customer success managers and marketing teams in B2B SaaS, product subscription, publishing, energy, and non-profit organizations seeking to reduce churn and maximize customer lifetime value.
Features
- AI-powered predictive models for identifying customers at risk of churn, ready for upsell, or primed for reactivation
- Prescriptive AI that recommends and automates the next best action for each customer segment
- Unified customer data from CRM, support, usage, financial, and marketing systems
- Real-time insights into customer behavior and churn risks through in-depth analytics
- Automated personalized engagement at scale, delivering targeted messages through the right channel
- Integration capabilities with existing data sources and tools via APIs or data warehouses
- Customer segmentation based on risk levels, behavior patterns, and engagement history