Product recommendations

Product recommendations

Take control of what your customers see

Recommendations built around your merchandising needs

Smart AI
Use the power of machine learning to train our “viewed together” algorithm for particular visitor segments to increase its impact.

Collaborative filtering
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.

Custom rules
Add in promoted products, cross-sell rules and blacklisting to layer business logic over algorithmic decisions.

Recommendations built around your merchandising needs

Make recommendations throughout the customer journey

Make your homepage high-impact
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.

Auto filters
Increase average order and speed to purchase by showing only products that are currently in stock.

Make recommendations throughout the customer journey

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.

Smarter product recommendations drive a 3.6% uplift in conversions for Fun.com

Experiences in combination

Qubits recommendations work with our other programmatic experiences for sophisticated customer experiences.

Abandonment Recovery<br />
Show recommendations for alternative products if there's exit intent, and in recovery emails.

Abandonment Recovery
Show recommendations for alternative products if there's exit intent, and in recovery emails.

Social Proof<br />
Use social proof to prioritize recommendations by popularity.

Social Proof
Use social proof to prioritize recommendations by popularity.

Visitor Pulse<br />
Only show recommendations that match a visitor's expressed preferences.<br />

Visitor Pulse
Only show recommendations that match a visitor's expressed preferences.

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