Boost sales with smart product recommendations
Deliver real-time, personalized suggestions that help customers find what they want, even before they start searching. Positive User’s recommendation engine automates cross-sells, up-sells, and personalized offers across your website, emails, and push notifications. Sales optimization powered by data.

Trusted by +15,000 marketing teams




Show the right product to the right person
Positive User’s Product Recommendations module uses behavioral data and a predictive engine. It suggests the right products at the right moment. Analyze browsing history, purchase patterns, and customer preferences. Boost conversions, increase average order value, and enhance the shopping experience.
Product Recommendations in action
Launch proven workflows in minutes
Trusted by fast-growing teams
Turn every visit into a conversion opportunity
From personalized suggestions to recommendation automation, Positive User helps you build a smarter shopping experience. Combine predictive targeting and data-driven recommendations to convert more visitors automatically. Customer engagement grows with every relevant suggestion.
Frequently Asked Questions
What is Product Recommendations in Positive User?
It’s a recommendation engine that automatically suggests relevant products to each customer. Based on behavior, interests, and past purchases. Smart recommendations powered by predictive algorithms.
How do product recommendations increase sales?
They boost conversion rates and average order value by showing the right recommended products at the right time. Automated up-sell and cross-sell encourages larger carts. Sales optimization backed by data.
Can I customize the look and placement?
Yes. Adjust design, layout, and placement to match your brand and website style. Product personalization that fits your visual identity perfectly.
Do I need developers to set up recommendations?
No. Installation is quick with Google Tag Manager or a lightweight tracking script. No coding required. Marketing automation handles the rest.
Does the module use behavioral data?
Yes. Recommendations are based on browsing behavior, purchase history, and real-time activity. Behavioral recommendations adapt to each visitor session.
Can I use recommendations in emails and push notifications?
Yes. Insert personalized email recommendations into your campaigns or web push notifications. Multichannel suggestions for a consistent experience across every channel.
How does Positive User decide which products to recommend?
The predictive engine learns from visitor interactions. It identifies products most likely to engage or convert each customer. Interaction-based recommendations that improve over time.
Can I segment recommendations by audience type?
Yes. Apply advanced filters and segmentation rules. Show specific targeted products to customer groups or personas. Product analytics track what performs best.
Is the module compatible with my product catalog?
Yes. It integrates directly with your Product Data section in Positive User. Updates automatically as your catalog evolves.
Is Positive User compliant with GDPR?
Yes. All recommendation data is processed securely and in full GDPR compliance. Customer engagement data stays protected.




















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