Take control of what your customers see
Recommendations built around your merchandising needs
Use the power of machine learning to train our “viewed together” algorithm for particular visitor segments to increase its impact.
Apply ‘other people looked at this’ logic to your recommendations and help people explore more of your product portfolio.
Product matching upsell and cross-sell
Add recommendations further down the funnel to help customers find additional products and increase average order values.
Add in promoted products, cross-sell rules and blacklisting to layer business logic over algorithmic decisions.
Make recommendations throughout the customer journey
Make a splash with recommendations based on recent browsing history or your own custom model to grab attention right from the start.
In-context interest on product pages
Deploy our recommendations ‘up high’ or ‘down low’, ensuring 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.
Increase average order and speed to purchase by showing only products that are currently in stock.
Smarter product recommendations drive a 3.6% uplift in conversions for Fun.com
Fun.com, including their brand HalloweenCostumes.com, is one of the world's largest online destinations for costumes and accessories. Often running over 30 onsite experiences during their peak season, they saw a 28% increase in engagement with their product recommendations engine after incorporating Qubit.
Experiences in combination
Qubits recommendations work with our other programmatic experiences for sophisticated customer experiences.
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Defy tomorrow’s expectations today
Start personalizing your experiences with rich customer data today