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What is the Recommender A/B testing feature?
Recommender A/B testing is a Luigi’s Box feature that allows you to test our different variations of feature recommendations based on various data gathered by the system. Some customers will be shown the A variant, while others will be shown the B variant. Thanks to the results of this testing, you can determine which recommender variation will perform the best.
How can you use the Recommender A/B testing feature?
Recommender A/B testing is one of the best ways to determine which product recommendations bring the best results. By testing both versions simultaneously, you can save time on testing, and accurately tweak your recommendations to customers.
Continuous testing, and using the results can help you provide better recommendations continuously, and help you increase your sales.
What are the benefits of the Recommender A/B testing feature?
- Continuously improve recommendations
- Select best-performing results
- Increase your sales
Recommender
Increase average order value with AI-powered product recommendations that tailor suggestions to each customer’s unique shopping preferences.
Recommender Personalization
Increase sales by offering personalized product recommendations that align with each customer's interests, behavior, and shopping history.
Placeholders for Luigi’s Box Recommenders
Luigi's Box Recommender can be placed in the e-shop in two ways. Learn more about both solutions in out video.
2.01 Recommender – Analysis
Explore the Recommendations section in Luigi's Box, consisting of the Analysis and Improvement sections.
2.05 Recommendations – Recommendations customization
Discover how to navigate the "Searches Without Results" section of your e-commerce platform's analytics dashboard.
Recommender Clicks
The Recommender clicks feature tracks customer clicks on recommendations, providing insights into engagement and optimizing product suggestions.
2.06 Recommendations – Recommender Back-end integration
Create and edit recommenders directly, choose type and placement, integrate via back-end, use curl to call API after training, and adjust settings as needed.
AI‑Powered Personalized Product Recommendations
Boost your e-shop's conversion rate and average order value with personalized product recommendations powered by AI.
