---
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id: 17849d907c438092c955c55c430faea05eff4ce312dacc53ca24347b4c2ee7f5
title: Use Real-Time Predictions to Drive Personalized Recommendations
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_ai_ec_personalized_recommendations.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_ai_ec_personalized_recommendations.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: d9d1012917f491e008d275cea529705e61ee12846dab64d45a8d70ab395e501a
description: Predictive models in AI Models (formerly Einstein Studio) can generate real-time predictions to inform personalized recommendations in Salesforce Personalization. The integration enables the delivery of customized experiences, which can boost engagement. Predict the customer lifetime value annual spend, or likeliood to purchase and use your model's predictions in a Personalization Decision targeting rule to serve up different content recommendation strategies.
products:
  - Data 360
release: "264"
---
# Use Real-Time Predictions to Drive Personalized Recommendations

Predictive models in AI Models (formerly Einstein Studio) can generate real-time predictions to inform personalized recommendations in Salesforce Personalization. The integration enables the delivery of customized experiences, which can boost engagement. Predict the customer lifetime value annual spend, or likeliood to purchase and use your model's predictions in a Personalization Decision targeting rule to serve up different content recommendation strategies.

### 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: <strong>All Editions</strong> supported by Data 360. See <a href="https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&amp;language=en_US" target="_blank">Data 360 edition availability</a>.</td></tr></tbody></table>

For editions and permissions needed to use Salesforce Personalization targeting rules, see [Create a Targeting Rules](https://help.salesforce.com/s/articleView?id=mktg.persnl_personalization_point_targeting_rules_create.htm&type=5&language=en_US)

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
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          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d155437e65">USER PERMISSIONS NEEDED</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="USER PERMISSIONS NEEDED" class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e65 ">Allow users to manage models in AI Models</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e65 ">Enables you to create, update, and delete models in AI Models.</td>

          </tr>
        </tbody>
      </table> <table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
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        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d155437e95">PERMISSION SETS </th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e95 ">Data Cloud Architect</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e95 ">Admin-level access to all AI Models features, including the ability to create, update,
              delete, and activate models.</td>

          </tr>
          <tr class="">
            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e95 ">Data Cloud User</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d155437e95 ">Restricted access to use a model, including getting predictions and improvements
              derived from a model.</td>

          </tr>
        </tbody>
      </table>

When using a predictive model in AI Models in Salesforce Personalization, consider the following:

- Personalization maps are only supported for models created from scratch. Connected models aren’t supported.
- You can map models built from scratch to a real-time profile data graph.
- You can map direct attributes and calculated insights without dimensions to a model created from scratch. Calculated insights must have a number data type.

To set up a model to provide personalized recommendations in Salesforce Personalization, follow these steps.

Before you begin, you must first [create a model from scratch](https://help.salesforce.com/s/articleView?id=data.c360_a_ai_ec_create_model.htm&type=5&language=en_US) in AI Models.

1. In AI Models, from the predictive models tab, click your model. The model must be activated so it can provide predictions.
2. From the model details, click the Integrations tab.
3. To create a new personalization map, click **New**.
    
    ![Integrations tab in the model details where you can manage personalization maps.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/data_cloud/images/c360_a_ai_ec_predictive_create_personalization_map.png)
4. Select a data space and profile data graph.
    
    ![In the Personalization Map Builder, you select a data space, data graph and data to use.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/data_cloud/images/c360_a_ai_ec_predictive_personalization_map_data.png)
5. Identify the fields in the data graph map you want to use to generate the personalized prediction.
6. Click **Next**.
7. Review the mapping.
    
    ![In Personalization Map Builder, review and save your data settings once you're ready to create a map.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/data_cloud/images/c360_a_ai_ec_predictive_personalization_map_review.png)
8. Save your settings.

After linking your model with a real-time profile data graph, you can use the model in Salesforce Personalization targeting rules to get personalized recommendations.

#### See Also

- [_Salesforce Help:_ Einstein Studio Model Predictions for Personalization](https://help.salesforce.com/s/articleView?id=mktg.persnl_esi_realtime_prediction_for_persnl.htm&language=en_US)