How does the widget handle personalization if the user is new?

For new visitors, the behavioral engine can switch to recommendations based on the e-commerce best sellers (fall-back), ensuring that the block never remains empty. As soon as the user starts their search, personalization takes over.

How does the widget handle personalization for a new user?

For new visitors, the recommendation engine uses the online store's best sellers as default recommendations. As soon as the user starts browsing, personalization takes over to suggest products adapted to their customer journey and browsing history.

How does the widget maintain continuity during recurring visits?

The Recommender keeps the browsing history, even without an account, via cookies. It recalls previous recommendations, allowing the user to easily resume their purchase journey and improve their user experience on your e-commerce site.

How does the widget avoid recommending unavailable products?

The Recommender engine is connected in real time to the product index. Recommendations automatically exclude out-of-stock items, ensuring reliable search results and a fluid user experience on your online store.

How does the widget contextualize recommendations by category?

The Recommender filters products according to the current category to suggest only relevant items. This logic improves the purchase journey, optimizes data collection, and allows for consistent recommendations for each session.

Does the widget work on a high-traffic e-commerce site or on social media?

Yes. Implementing the Recommender ensures fast calculation of personalized recommendations, whether on the e-commerce site, the online store, or via integrations on social media. Performance remains optimal for every customer journey and every user interaction.

Behavioral Merchandising Feature

“Inspired by your visits” : Personalized Recommendations for every customer

Activate the high-performing “Inspired by your visits” widget for your e-commerce site. This intelligent widget analyzes user behavior and browsing history to offer personalized product recommendations.

It increases the conversion rate, improves the customer experience, and boosts revenue through real-time personalization.

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Features
Personalization
Personalization

Behavioral Reliability

The Recommender: Relying on Active Purchase Intent

The “Inspired by your visits” widget uses “hot” data: the products viewed during the current or recent session. This approach ensures that product recommendations reflect the most active purchase intent, increasing the conversion rate and improving the customer experience on your e-commerce site.

Similarity

Similarity Personalization for Precise Recommendations

The “Inspired by your visits” widget analyzes user behavior to identify products similar to the viewed items. The Recommender engine uses similarity attributes (brand, color, style) to offer recommendations corresponding to the customer’s past tastes and intentions on your e-commerce site.

Conversion

Behavioral Personalization for Immediate Sales

This widget is a direct lever for conversion, leveraging the user’s hot purchase intent.

Reactivation of Purchase Intent

The widget brings the user back to products already viewed, reducing abandonment and maximizing the effectiveness of the initial search.

Increased Engagement

Relevant and personalized recommendations increase the click-through rate on these blocks compared to static suggestions, proving the effectiveness of behavioral merchandising.

Placement Flexibility

The widget can be strategically placed on the homepage or category pages, offering complete personalization of the e-commerce experience.

FAQ

FAQ: Everything You Need to Know About the Behavioral Recommender

Find answers about the implementation of the behavioral recommender “Inspired by your visits”.
Read the User Guide or contact us for assistance.