Deliver Advanced Customer
Scoring, Forecasts, and Data Products
Predictive Models Without the Manual Lift
Common Challenges for Data Teams
Internal models take months to build, test, and deploy
Developing predictive models in-house is slow and resource-intensive.
No time for ML ops or backtesting
Teams struggle to operationalize and validate models effectively.
Business teams want explainability & actionability
Stakeholders need predictions they can understand and act on.
Hard to connect predictions to revenue outcomes
Linking model outputs to tangible business impact is complex.
How Reef Helps Analytics Teams
Prebuilt, backtested models
Churn, expansion, forecasting models ready out of the box
Explainable outputs
Feature-level insights for each prediction
Live feedback loops
Self-improving models based on GTM activity
Use Data to Create Reliable Predictions
Deploy ready-to-use models, normalize and enrich customer data, and deliver clear, explainable insights that drive revenue growth.
Predictive ML deployment (churn, growth, forecasting)
Deploy ready-to-use models for key retention and growth metrics.
Data normalization and enrichment
Clean and enrich customer data to ensure accurate predictive insights.
Customer scoring APIs for downstream use
Provide easy-to-access scores for use in workflows and systems.
CS/GTM model explainability
Deliver clear reasoning behind predictions so teams can make informed decisions.
Seamless workflow integration
No new UX to learn; recommendations show up where CS teams already operate.
Empower your business with a Predictive Data Foundation
Connect, validate, and activate your data to power AI-driven enterprise agents that predict growth, risk, and renewals.
