Definition
A Prediction in Salesforce Einstein is a scored output generated by a machine learning model that estimates the likelihood of a future outcome. Einstein Prediction Builder allows administrators to create custom predictions on any standard or custom object by selecting a target field (what they want to predict), defining the dataset (record filters and example fields), and building a model. The resulting prediction appears as a score (0-100%) or a predicted value directly on the record. Salesforce also provides built-in predictions including Einstein Lead Scoring, Einstein Opportunity Scoring, and Einstein Case Classification, each trained on the org's historical data.
Real-World Example
Consider a scenario where an AI specialist at Nexus Innovations is working with Prediction to bring intelligent automation to a process that previously required significant manual effort. Prediction analyzes patterns in the data and surfaces insights that would take a human analyst hours to uncover, enabling the team to act proactively rather than reactively.
Why Prediction Matters
A Prediction in Salesforce Einstein is a scored output generated by a machine learning model that estimates the likelihood of a future outcome. Einstein Prediction Builder allows administrators to create custom predictions on any standard or custom object by selecting a target field (what they want to predict), defining the dataset (record filters and example fields), and building a model. The resulting prediction appears as a score (0-100%) or a predicted value directly on the record.
Salesforce also provides built-in predictions including Einstein Lead Scoring, Einstein Opportunity Scoring, and Einstein Case Classification, each trained on the org's historical data. Predictions are most valuable when they drive concrete actions: scores feed into prioritization, automation, or recommendations rather than just being displayed. Mature ML programs validate predictions against actual outcomes regularly to measure model accuracy and identify when models need retraining.
How Organizations Use Prediction
- •TrueNorth Software — Uses Einstein Lead Scoring predictions to prioritize which leads reps work first.
- •NovaScale — Built custom predictions in Einstein Prediction Builder for churn risk, feeding scores into proactive retention workflows.
- •Apex Analytics — Validates prediction accuracy quarterly against actual outcomes to ensure models stay reliable.