Sarbacane becomes Positive User
Product Recommendations

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.

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Trusted by +15,000 marketing teams

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Logo Respo
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Logo Respo
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4.8 Truspilot Reviews

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.

Increase average order value
Drive conversion
Enhance the user experiencementation
Omnichannel delivery
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Increase average order value

Use automated up-sell and B2B cross-sell recommendations to suggest complementary or higher-value products. Encourage customers to add more to their cart. Recommendation automation runs without manual curation.

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Drive conversions through relevance

Deliver contextual recommendations that appear when customers are most likely to buy. Replace guesswork with data-driven recommendations that improve conversion rates. Conversion optimization starts with relevance.

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Enhance the customer experience

Help visitors discover relevant suggestions faster with behavior-based targeting and dynamic content that adapts in real time. Behavioral recommendations make every browsing session feel personal.

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Omnichannel delivery

Display product recommendations on your website, in email recommendations, and in web push notifications. Multichannel suggestions ensure consistent relevance across every channel. One engine, every touchpoint.

Product Recommendations in action

Young woman typing on laptop with a digital overlay showing recommended abstract products.

Trigger recommendations from pop-up interactions

Show a recommended product block after a visitor interacts with a pop-up. Exit-intent offers, newsletter signups, or promotional messages all create moments to surface targeted products. Interaction-based recommendations that convert attention into revenue.

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Embed product blocks in forms and landing pages

Add personalized product suggestions directly into your landing pages and post-submission confirmation screens. A visitor fills out a preference form, and the page adapts with relevant offers. Website recommendations connected to real contact data.

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Combine recommendations with on-site widgets

Use Custom Widgets to inject personalized product recommendation blocks anywhere on your site. Replace static content with dynamic, behavior-driven suggestions for specific contacts. Product personalization at the page level.

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Collect preferences to refine suggestions

Use form responses and survey data to enrich contact profiles. Better data means better recommendations. Offer personalization improves every time a visitor shares their preferences. Personalized customer journeys start with understanding intent.

Person typing on laptop with promotion popup offering 30% off and special offer message.

Recommend products inside emails and push notifications

Insert personalized email recommendations into your campaigns or web push notifications. Show recommended products based on browsing history, past purchases, or cart content. Multichannel suggestions that follow your customers beyond the website.

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Launch proven workflows in minutes

Reactivate quiet leads

Reactivate quiet leads

Celebrate first purchase anniversaries

Celebrate first purchase anniversaries

Celebrate usage milestones

Celebrate usage milestones

Send birthday discounts

Send birthday discounts

Recover abandoned carts

Recover abandoned carts

Automate repeat purchases

Automate repeat purchases

Build trust with customer reviews

Build trust with customer reviews

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Customer review

Trusted by fast-growing teams

“Thanks to Positive User, we not only significantly expanded our audience base, but also streamlined communication and automated many tasks that previously consumed a lot of time. This tool truly supports our sales and digital strategy.”

Somfy, Equipo de E-commerce de Somfy
Read the full customer story

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.

FAQ

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.