Behavioral Merchandising Feature
Cross-Selling and Up-Selling Solution
Our Recommendation algorithm enables several cross-selling strategies and increases your e-commerce revenue. It analyzes customer behavior to suggest a relevant product or service at every stage of the journey.
This personalization improves the average basket value, builds customer loyalty, and facilitates the implementation of cross-selling and upselling strategies.
This personalization improves the average basket value, builds customer loyalty, and facilitates the implementation of cross-selling and upselling strategies.
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Personalization
Personalization for Every Step of the Journey
Relevance boosts conversion and revenue. The Recommender uses learning algorithms to suggest a personalized product or service to each customer.
Recommendations appear on product pages and in the cart, allowing for cross-selling, upselling, and increasing the average basket value. This personalization makes your e-commerce more efficient and engaging.
Recommendations appear on product pages and in the cart, allowing for cross-selling, upselling, and increasing the average basket value. This personalization makes your e-commerce more efficient and engaging.
Speed and Scale
The Recommender: Real-Time Behavioral Calculation
The Recommender generates personalized recommendations in real time thanks to massive computing power.
It analyzes millions of user interactions every day to ensure that suggestions for complementary and upsell products remain ultra-relevant. This reliability offers a fluid e-commerce experience. It strengthens customer trust and aids your cross-selling strategies over the long term.
It analyzes millions of user interactions every day to ensure that suggestions for complementary and upsell products remain ultra-relevant. This reliability offers a fluid e-commerce experience. It strengthens customer trust and aids your cross-selling strategies over the long term.
Types of Recommendations
Our engine manages three essential block types for cross-selling and upselling on your e-commerce site:
• Cross-sell: complementary products to those the customer is viewing or adding to the cart.
• Up-sell: similar but superior or more expensive products to increase the average basket value.
• Related products: products linked by attributes to encourage catalog discovery.
Each block is optimized by behavioral analysis.
• Cross-sell: complementary products to those the customer is viewing or adding to the cart.
• Up-sell: similar but superior or more expensive products to increase the average basket value.
• Related products: products linked by attributes to encourage catalog discovery.
Each block is optimized by behavioral analysis.
ROI
The Recommender: Your Best Asset for E-commerce ROI
Personalized recommendations are the driver for increasing the average basket value. Behavioral merchandising ensures that every element on your pages contributes to cross-selling and upselling.
Increased Average Basket Value
Cross-sell and up-sell driven by the behavioral engine are the most effective tools for encouraging customers to buy more or better.
Product Discovery
The Recommender highlights products the customer would not have searched for, increasing the visibility of complementary items and improving search efficiency.
Customer Loyalty
Relevant recommendations strengthen the customer experience and the perception of your brand, fostering repeat purchases and long-term satisfaction.
FAQ
FAQ: Better Understanding Cross-Selling via The Recommender
Find answers on implementing the behavioral recommender on your e-commerce site.
Read the User Guide or contact us for assistance.
Read the User Guide or contact us for assistance.