Cross‑sell Magic

Highly relevant product recommendations to increase sales and average order value within minutes.

Your store is different, and your recommendations engine should be too. Maximize revenue and conversion by easily offering related products and cross-sells to your customers.

Tailored Recommendations For Your Store

Our machine learning algorithm selects recommendations for your store by analyzing product, collection, and order data to optimize product recommendations and then learns what's most effective over time with your customers. Recommendations are chosen are a mix of products:

• Purchased together

• Purchased together with items in the customer's cart

• Purchased together with items customer has viewed

• With shared collections

• With shared vendor

• With shared product type

• With shared product tags

• Recommended by the Recommendations API

Set it once and forget it, or choose your own selection criteria easily from these eight metrics.

Mobile Friendly

Recommendations display perfectly on phones, tablets, and all touch devices.

Easy (No Coding) Installation + Incredible Support

Turn on the popup recommendations and they work.Install recommendations on as many themes and templates as you wish with the click of a button. No coding skills necessary. Have trouble with customizing, or anything else? Just ask, we're happy to help!

Complete Functionality

Full product option selection with changing prices and images, personalization based upon customer's cart contents and views, as well as event and conversion tracking viewable in the app dashboard.

Measure Success

The in-app dashboard allows you to easily track progress and growth tracking revenue, average order value, recommendations displayed, product clicks, and products added to cart.

Customizable

Choose number of products, columns, optional view and add-to-cart buttons, callout text, grid or slideshow, color scheme, and more for both the embedded and popup recommendations.

Built To Scale

Optimized store code and processing servers built for highly trafficked stores with large product catalogs and order volume.