Reef builds the NRR Intelligence Graph, a predictive data foundation that connects and validates enterprise customer data. This foundation powers machine learning models to generate accurate, forward-looking signals for churn, expansion, and cross-sell opportunities. The platform delivers trusted, actionable insights directly to Customer Success and Revenue Operations teams, improving Net Revenue Retention and forecasting accuracy.
Funding
$6.7M 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
Customer success, sales, and marketing teams struggle to proactively identify and address revenue-impacting events like potential churn, cross-sell, and upsell opportunities. Traditional customer health scores often lack the granularity and predictive accuracy needed to drive effective engagement strategies. This results in missed opportunities to retain and grow revenue.
Solution
Reef.ai provides an AI-powered platform that transforms customer data into actionable insights, enabling teams to optimize engagement strategies and track the financial impact of their actions. The platform utilizes machine learning to generate Outcome-Based Scoring, providing customer scores tailored to specific revenue outcomes such as churn, upsell, and cross-sell. By connecting to existing customer data sources, Reef.ai builds a comprehensive view of customer behavior and applies advanced ML scoring models to predict revenue opportunities and risks. The platform then delivers precise recommendations to the right teams at the right time, enabling proactive engagement and improved net revenue retention.
Target Audience
Reef.ai targets customer success, sales, and marketing teams within SaaS and subscription-based businesses looking to improve customer retention and drive revenue growth.
Features
- Data connectivity: Seamlessly connects to existing customer data sources to build a comprehensive view of customer behavior.
- Advanced ML scoring: Applies proven machine learning models optimized for specific revenue outcomes.
- Outcome-Based Scoring: Generates customer scores tailored to specific revenue outcomes such as churn, upsell, and cross-sell.
- Notifications & Playbooks: Delivers precise recommendations to the right teams at the right time, enabling proactive engagement.
- ROI Reporting: Calculates the ROI of playbooks initiated by Outcome-Based Scores, demonstrating the impact on revenue retention and growth.
- Transparent Model Performance: Provides model performance analytics to ensure accuracy and effectiveness.
- Scalable across Go-To-Market Functions: Supports use cases across Sales, Customer Success, Renewals, Services, Support, and Marketing.