Product recommendations

Take control of what your customers see with our targeted product recommendations engine. Deliver results with recommendations based on visitor understanding, human behavior, and the power or machine learning.

Harnessing human behavior

Cut through the noise
Making decisions when there’s lots of choice is hard. Recommendations help visitors discover more of what they’re looking for from your product catalog.

Personalized product recommendations
Customers increasingly expect to see recommendations—and value them as an integrated part of the customer journey.

Combined experiences
Combine recommendations with other experiences, like abandonment recovery or social proof, to deliver increased value.

Different recommendations strategies on the home, category and basket pages.
Dropdown showing recommendation algorithms in the Qubit platform

Built around your merchandising needs

Combine curation and automation
Use the power of recommendations with marketer controls. Promote, pin, whitelist and blacklist products and categories according to your business goals, add in price controls and guarantee all recommendations are in stock.

Multiple algorithms for sophisticated strategies
Use powerful algorithms like engagement and trending, trained on millions of data points, at different points across your website

Automate product promotions
Use templates and data uploads to align recommendations with campaign strategies ahead of time with templates and data uploads.

Make recommendations throughout the customer journey

High-impact homepage personalizations 
Make a splash with recommendations based on recent browsing history, trending or popularity to grab attention right from the start.

In-context interest on product pages
Deploy our recommendations for inspiration and engagement on product pages. Engagement and re-engagement algorithms ensure that you get the best visibility and cross-sell opportunities.

Add last chance upsells to the cart
Take advantage of impulse purchases or encourage visitors over shipping thresholds by delivering related recommendations in the cart.

Deliver product recommendations beyond the web
Bring recommendations into emails for abandonment recovery, and use the API to deliver them on mobile web and native mobile apps.

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