---
schema_version: "1"
id: ee645299b3d1f078660d8608d2340583143cbaad09396fe85b9421294fc67275
title: Einstein Report Breakdown
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_pers_einstein_report_about.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_report_about.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 1a2650cd0bb41201f8559f01a7a9dced1b1a24c5b3104ce162e0f89684fbbd06
description: Navigate Einstein reports to gain insights into content zones, summary data, performance over time, training session information, and the selected deployment models.
products:
  - Marketing
  - Salesforce Personalization
release: "264"
---
# Einstein Report Breakdown

Navigate Einstein reports to gain insights into content zones, summary data, performance over time, training session information, and the selected deployment models.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: Premium edition</td></tr></tbody></table>

Each Einstein Report includes the following sections:

## Content Zone Description

Each Einstein Decisions training session is for a single content zone. This section of the report lists the content zone that’s currently being trained, along with its associated promotions that have assets mapped to the content zone.

## Training Data

This section provides a quick summary of the data that Einstein Decisions has collected. This data offers insight into how active Einstein Decisions has been, and how much training data it has to work with.

## Historical Performance

This section describes how well your promotions achieved their purpose, and how effective they are overall. Metrics demonstrate how well Einstein Decisions performed each day in comparison to just showing random promotions.

## Training

During each training session, Einstein Decisions trains several candidate machine learning models from your data. When each model is trained, Personalization evaluates them against each other to determine which model is most likely to provide the best business value as defined by your training target.

## Deployment

After you select a model for the model training step, Personalization deploys the model and makes it live. The selected model appears in this section.