Recommendations

Recommendations

Open the black box and take control of what your customers see

Recommendations built around your merchandising needs

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

Product Recommendation

Fun.com saw 3.6% uplift in conversions with smarter product recommendations
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.
Product Recommendation

Make recommendations throughout the customer journey

Homepage
Take over hero blocks with recommendations based on recent browsing history or your own custom model to boost engagement at vital times.

Product
Deploy our recommendations ‘up high’ or ‘down low’, ensuring that you get the best visibility and cross-sell opportunities.

Cart
Take advantage of that ‘last chance upsell’ by delivering recommendations in the cart, based on what your users have seen.

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

Make recommendations throughout the customer journey

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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