Definition
In Salesforce Einstein, a machine learning model trained on historical data to predict future outcomes (like lead conversion probability or opportunity close likelihood), deployable through Prediction Builder or Einstein Discovery.
Real-World Example
When a data scientist at CognitiveTech needs to streamline operations, they turn to Predictive Model to automate a complex decision-making process that used to rely on gut instinct. By deploying Predictive Model, the organization now uses data-driven intelligence to guide actions, resulting in better customer outcomes and more efficient use of team resources.
Why Predictive Model Matters
In Salesforce Einstein, a Predictive Model is a machine learning model trained on historical data to predict future outcomes (like lead conversion probability or opportunity close likelihood), deployable through Prediction Builder or Einstein Discovery. The model learns from patterns in past data: which leads converted, which deals closed, which cases were resolved quickly. It then applies those learned patterns to score new records.
Predictive models are most valuable when they drive concrete actions: prioritization (work the highest-scoring leads first), automation (escalate at-risk cases), or recommendations (suggest the next best step). Salesforce supports predictive models through several products: pre-built features like Einstein Lead Scoring (no setup required), custom models through Einstein Prediction Builder (declarative), and sophisticated models through Einstein Discovery (more advanced). Mature ML programs match the right tool to each use case based on complexity and team expertise.
How Organizations Use Predictive Model
- •TrueNorth Software — Uses Einstein Lead Scoring predictive models to prioritize lead follow-up by conversion likelihood.
- •NovaScale — Built custom predictive models in Einstein Prediction Builder for churn risk identification.
- •Apex Analytics — Uses Einstein Discovery for sophisticated models that go beyond what Prediction Builder supports.