---
schema_version: "1"
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title: Einstein Recipes
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.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 4ae9b7735bd47ce9d23b2d26e6b30838f7098b8d402a856854a42276a5f55332
description: Einstein Recipes are Personalization's machine learning algorithms. With Einstein Recipes, you can create configurable algorithmic strategies to present each customer with customized product and content recommendations throughout your various channels. You can use Einstein Recipes to support specific scenarios, such as cross-sells, content promotions, and trending products.
products:
  - Marketing
  - Salesforce Personalization
release: "264"
---
# Einstein Recipes

Einstein Recipes are Personalization's machine learning algorithms. With Einstein Recipes, you can create configurable algorithmic strategies to present each customer with customized product and content recommendations throughout your various channels. You can use Einstein Recipes to support specific scenarios, such as cross-sells, content promotions, and trending products.

- **[About Einstein Recipes](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_about.htm&release=264.0.0&type=5)**  
    Learn more about Einstein Recipes.
- **[Create an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_create.htm&release=264.0.0&type=5)**  
    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.
- **[Use a Static Relationship in an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_static_relationship.htm&release=264.0.0&type=5)**  
    After you associate products with each other in a static relationship, you can use it as an ingredient in Einstein Recipes to define which products to recommend with other products. When making recommendations, Personalization considers any static relationships you’ve configured.
- **[Use a SmartBundle Relationship in an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_smartbundle_relationship.htm&release=264.0.0&type=5)**  
    After you associate categories with each other in a SmartBundle relationship, you can use the SmartBundle ingredient in Einstein Recipes to define which items to recommend with other items. When making recommendations, Personalization considers items from SmartBundle-related categories that customers bought together in the same cart.
- **[Use a Static List in an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_static_list.htm&release=264.0.0&type=5)**  
    Use static lists that you create in Einstein Recipes as exclusions, inclusions, or boosters.
- **[Test an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_test.htm&release=264.0.0&type=5)**  
    After creating and training an Einstein recipe, make sure to test it before you publish it. Using test groups can simulate the recommendations that Personalization presents to a group of customers. Testing your recipe with groups that have varying behaviors and affinities helps ensure optimal customer experiences.
- **[Troubleshoot an Einstein Recipe](https://help.salesforce.com/s/articleView?id=mktg.mc_pers_einstein_recipe_troubleshoot.htm&release=264.0.0&type=5)**  
    Examine Einstein recipes and unified customer profiles if you run into unexpected recommendations. Einstein Recipes can consist of multiple components with a variety of parameters. The algorithms are complex, and some recipe options can conflict with one another. Any initial recommendations you receive can require some fine-tuning to meet your expectations.

#### See Also

- [_Video_: How to Test an Einstein Recipe in Recipe Simulation](https://youtu.be/QUCCbvLvv6s)