---
schema_version: "1"
id: 56f314a78a1bcbf904e33b1b84ef72bcd55c2898492ab9f281bef105305ab1db
title: Create an Einstein Recipe
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_pers_einstein_recipe_create.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_create.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 3a10d4a101da06590642922b2e5e1206a06c8dce72f51048429ccbe13f62967c
description: Einstein Recipes consist of ingredients, exclusions, inclusions, boosters, and variations. Combine these components to suggest content or products according to an individual customer’s behavior and affinities. Personalization uses your recipes to create algorithms that present each customer with their own personalized recommendations.
products:
  - Marketing
  - Salesforce Personalization
release: "264"
---
# Create an Einstein Recipe

Einstein Recipes consist of ingredients, exclusions, inclusions, boosters, and variations. Combine these components to suggest content or products according to an individual customer’s behavior and affinities. Personalization uses your recipes to create algorithms that present each customer with their own personalized recommendations.

### Required Editions

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            <td data-label="Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d49682e38 ">To create an Einstein Recipe:</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d49682e38 ">A role with Recipes Create/Edit permissions</td>

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After you create an Einstein Recipe, use it in your campaigns to recommend items based on what your customers have previously viewed or purchased. Personalization’s predictive algorithms dynamically adjust to temporary shifts in consumer behavior.

1. In the **Machine Learning** section of the main navigation, click **Einstein Recipes**.
2. Click **New Recipe**.
3. Enter a **Name** for the recipe.
4. Click **Recommendation Type** and select an item type from the dropdown.
5. On the **Ingredients** tab, click **Add ingredient** and select an option from the dropdown.
6. Select parameters for the ingredient.
7. Add additional ingredients as necessary.
8. Click **Additional Options**:
    1. If your recipe includes multiple ingredients and one of the anchor items isn’t present, you can select **Allow missing anchor item for multi-ingredient recipes**. This option presents recommendations from ingredients that either don’t require an anchor item or have fulfilled their anchor item requirements.
    2. To include trending items if the recipe doesn’t return any recommendations, select **Enable trending product fallback**. You can evaluate trending using a maximum setting of **Products from the past** `30` **days**.
9. Click the **Exclusions** tab.
    1. Click **Add exclusion** and select an option from the dropdown.
        
        ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
        
        Note Options for exclusions and inclusions vary according to the Recommendation Type you select. See [Exclusions and Inclusions in Einstein Recipes](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_exclusion_inclusion.htm&release=264.0.0&type=5 "Use exclusions and inclusions to add filtering criteria to your Einstein Recipes to control which items to recommend to your customers. For example, you can add an exclusion to show only items from the same category as the item a customer is viewing. A customer who views a specific hat brand only sees recommendations for other hats, and not items from the same brand.").
    2. To use the selected option as an inclusion, click **Include**.
    3. Select parameters for the exclusion or inclusion.
        
        ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
        
        Note If you select the **Enable trending product fallback** option for an ingredient or for the campaign, Personalization can recommend an exclusion if that excluded item is trending.
    4. Add additional exclusions or inclusions.
10. Click the **Boosters** tab.
    1. Click **Add booster** and select an option from the dropdown.
        
        ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
        
        Note Options for boosters vary according to the Recommendation Type you select. See [Boosters in Einstein Recipes](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_booster.htm&release=264.0.0&type=5 "Include boosters in Einstein recipes to boost items matching a customer’s affinity in any recommendations Personalization presents.").
    2. Select parameters for the booster.
    3. Add additional boosters.
11. Click the **Variations** tab.
    1. Click **Add variation** and select an option from the dropdown.
        
        ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
        
        Note Options for variations vary according to the Recommendation Type you select. See [Variations in Einstein Recipes](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_variation.htm&release=264.0.0&type=5 "Use variations in Einstein Recipes to modify the recommendations that Personalization presents so that your customers see a wider array of items. For example, you can configure a variation to force a recipe to show at most two items from the same category. So if a customer has an affinity for the \"hats\" category, Personalization recommends the two most relevant hats and a variety of other items from different categories.").
    2. Select parameters for the variation.
    3. Add additional variations as necessary.
        
        ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
        
        Note You can add only one dimensional and one randomized variation per recipe.
12. Save your work.
    
    ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_personalization-264-0-0-production-enus/16bf1f60-f44c-4260-a56e-f052cfe515a3/images/icon_note.png)
    
    Note Your recipe must have a unique name and at least one ingredient before you can save it.
13. To compile the algorithms that Personalization uses to present recommendations, click **Train**.
    
    Each night, Personalization automatically retrains live recipes that are actively in use. Active recipes are ones that Personalization has used in the past week. Depending on your dataset and customer base, training can take several hours.
14. When you’re finished creating and training a recipe, be sure to test it before publishing it.