Cart Cross-Sells

With Cart Cross-Sells, you have an opportunity to offer recommended products to the user right before they enter your checkout flow. Using Miso's Product to Products API, you can show personalized suggestions that are related to the items in the user's cart.

Example for Cart Cross-Sells

Introduction

Cart Cross-Sells are the "last chance" to trigger recommendations for the user before they go through the checkout flow. Cross-sells are additional products, bundles, and services that go along with the items in the user's cart. They are typically are displayed directly on the cart page itself, or in a popup right before the user enters the checkout flow. Cross-sells are often accompanied by UX strategies like discounting and urgency.

The Cart Upsells recipe is quite flexible. You can pass in a single product to get a laser-targeted upsell, or generate upsells across the entire cart. You can also narrow down the set of product categories to recommend. As always, upsells are personalized to the individual user and their real-time interactions on your site.

To fully optimize your checkout user journey, you may want to consider using the companion Cart Upsells recipe to generate more recommendations that go along with the items in the cart.

Before You Start

API Call / JSON Response

To fetch You May Also Like recommendations, POST to the Product to Products API with the following parameters:

  • user_id: The user or anonymous visitor to personalize the recommendations for
  • product_ids: The set of products in the cart for which you want to generate cross-sells. (Note that it's also possible to generate an cross-sell for a single product_id )

The API will return a list of recommended products.

Don't forget: there are many parameters you can use to optimize and filter the results that Miso returns, such as fl , fq , boost_fq , and diversification .
Read more in the deep dive

Example API Call

POST /v1/recommendation/product_to_products?api_key=<API_KEY> HTTP/1.1
{
    "user_id": "user-123",
    "product_ids": ["ben-jerry-ice-cream", "digiorno-frozen-pizza"],
    "fl": ["title", "price"]
}

Example JSON Response

{
    "message": "success",
    "data": {
        "took": 71,
        "miso_id": "a4606bf0-ddd3-11eb-ba80-0242ac130004",
        "products": [
            {
                "product_id": "friday-mozzarella-sticks",
                "title": "TGI Fridays Mozzarella Sticks",
                "price": 7.90,
                 ..., // Additional scoring information
            },
            {
                "product_id": "great-value-chicken-nuggets",
                "title": "Great Value Breaded Chicken Nuggets",
                "price": 7.90,
                ..., // Additional scoring information
            },
            ...
        ]
    }
}

Read more about the scoring information that Miso returns in the API response.

Before You Launch

Using this API recipe as a starting point, test API calls to your engine in development
If you haven't already, build pipelines to stream your real-time data updates to Miso via API. Your Miso solutions engineer is here to help with the integration.
Start using this API recipe to power the UX on your site in staging. If you need UX recommendations, ask your Miso solutions engineer about Bento .
Run an A/B test with Miso on simulated website traffic. If desired, your Miso solutions engineer can perform this test and provide a report.
If this is your first time launching with Miso, ask your Miso solutions engineer to unlock your production environment.
Replicate your Data and Engine API calls on production and set up the same engine in your production environment in Dojo.
Review your data and engine performance in Dojo.
Turn on this recipe for a percentage of your users and scale up to a full rollout. Notify your Miso solutions engineer who will monitor the launch metrics.

API Reference

💻

Need more info on the API? Check out our dedicated API page with all the info you could ever want.

Read API Reference
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