What does Einstein Prediction Builder enable?

Prediction Builder lets admins create custom predictions through a point-and-click interface, without needing to code.

Who is Prediction Builder aimed at?

Prediction Builder is designed for admins who want to build ML predictions without needing a data science background.

What's a common use case?

Common applications include predicting churn, deal outcomes, risk scores, and other likelihood predictions across business objects.

Einstein Prediction Builder

AI🔴 Advanced

Definition

A point-and-click tool that lets admins create custom AI predictions on any Salesforce object without writing code, by selecting a field to predict and the data set to learn from.

Real-World Example

Consider a scenario where an AI specialist at Nexus Innovations is working with Einstein Prediction Builder to bring intelligent automation to a process that previously required significant manual effort. Einstein Prediction Builder 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 Einstein Prediction Builder Matters

Einstein Prediction Builder is a point-and-click tool that lets admins create custom AI predictions on any Salesforce object without writing code. Admins pick a target field they want to predict (like 'will this customer churn?' or 'what will this order amount be?'), select the dataset to train on, and choose which other fields the model should consider as input. Prediction Builder handles the model training and produces predictions that can be displayed on records or used in automation.

Prediction Builder democratizes ML by making custom predictions accessible to admins who don't have data science backgrounds. The trade-off is less flexibility than building custom models in Python or R, but for many business use cases the convenience and speed are worth the trade-off. Common applications include churn prediction, deal scoring, risk scoring, and likelihood predictions on custom objects. The tool handles the underlying ML mechanics (feature selection, model training, validation) so admins focus on the business framing rather than the math.

How Organizations Use Einstein Prediction Builder

•Quantum Labs — Built a custom churn prediction with Prediction Builder. The admin team configured it without needing data science help, and the predictions feed into proactive retention workflows.
•TerraForm Tech — Used Prediction Builder to predict order fulfillment risk based on order attributes. The admin built it in a day; it would have taken weeks to build a custom model.
•CodeBridge — Treats Prediction Builder as the first option for any prediction need; only when its limits are hit do they consider building custom models.