What does Einstein Next Best Action do?

Next Best Action recommends contextually appropriate actions, combining rules-based logic with predictive models.

Where do recommendations appear?

Recommendations are surfaced through a Lightning component, typically placed on record pages where users will act on them.

What's a typical use case?

Common use cases include recommending offers, sales next steps, and cross-sell or upsell actions based on context.

Einstein Next Best Action

AI🟡 Intermediate

Definition

A Salesforce AI tool that uses rules-based and predictive models to recommend offers and actions to users at the point of interaction, displayed through a Lightning component on record pages.

Real-World Example

When an AI specialist at Nexus Innovations needs to streamline operations, they turn to Einstein Next Best Action to bring intelligent automation to a process that previously required significant manual effort. Einstein Next Best Action 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 Next Best Action Matters

Einstein Next Best Action is a Salesforce AI tool that recommends actions or offers to users at the point of interaction. It combines rules-based logic (configured by admins) with predictive models (built in Einstein Discovery or other tools) to determine which action is most appropriate for a given context, then surfaces the recommendation through a Lightning component on a record page or other UI surface.

Next Best Action is most useful when there are multiple valid actions a user could take and the right choice depends on context. A service agent looking at a customer might see a recommended offer, a recommended retention action, or a recommended cross-sell, depending on what the model predicts will work best for that customer. The framework supports both pure rules (like 'if customer has been with us 5+ years, offer loyalty discount') and ML predictions (like 'this customer is most likely to accept this offer'), and the two can be combined for richer logic.

How Organizations Use Einstein Next Best Action

•Vertex Global — Uses Next Best Action in their Service Console to recommend retention offers when an agent is talking to a customer with high churn risk. The recommended offer is tailored to the customer's history and predicted preferences.
•NovaScale — Built Next Best Action recommendations for sales reps showing recommended next steps on opportunities based on stage, deal size, and historical patterns for similar deals.
•Cobalt Ventures — Combines rules-based eligibility (the customer must qualify for the offer) with ML-based ranking (which qualifying offer is most likely to be accepted).