Predictive Scoring

Predict What Matters,
and When

The Problem

There are dozens of applications that score customers for risk and growth opportunities. These solutions typically provide either:

Rules-Based Scoring

You have to choose and weigh input which is not predictive.

Rules-Based Scoring

Shared Algorithm

Shared across customers that does light weight correlation to churn or growth but can’t accurately predict how it will perform.

Shared Algorithm

Reef is Different

Reef is productized Data Science As a Service. Reef provides the same level of focus and optimization on your data and your business outcomes as fully dedicated data scientists from your company building models.

Time-aware predictions

Reef can predict not only who will churn or grow, but when it will happen.

Time-aware predictions

Detailed explanations

Every time Reef generates a score, it will share why each customer scored the way they scored to inform best actions.

Detailed explanations

Fully backtested predictions

Before deploying predictions, Reef will prove the predictive power of every model through full backtesting (not sampling). Every Reef customer knows exactly how a model will perform in advance.

Fully backtested predictions

Better Together

Most Reef customers use Full Churn and Partial Churn models in tandem for complete coverage of risk

Better Together

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.

CTA Background

Reef AI is building the NRR Intelligence Graph, a data foundation for churn and growth prediction that fuels better human decision making, digital experiences, and NRR agents.

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