Optimizing your LimeSpot recommendation boxes is key to increasing engagement and sales. The Best Practices page in LimeSpot Personalizer provides guidance on where and how to use recommendation boxes for maximum impact.
Why Follow These Best Practices?
By strategically placing product recommendations across your store, you can:
✔ Improve product discovery
✔ Increase average order value (AOV)
✔ Boost customer engagement
✔ Encourage repeat purchases
Suggested Recommendation Boxes
We recommend adding the following recommendation boxes to different pages of your store:
Home Page
Trending – Showcases popular products to attract interest.
You May Like – AI-powered suggestions based on browsing behavior.
Recent Views – Reminds visitors of previously viewed items for easy access.
Product Page
Bought Together – Suggests complementary products frequently purchased together.
Related Products – Shows similar items to keep shoppers engaged.
Recent Views – Enables customers to revisit previously viewed items easily.
Cart Page
Upsell – Encourages customers to upgrade to premium or higher-value products.
Cross-Sell – Suggests complementary products to increase order value.
You May Like – Provides personalized recommendations based on shopping behavior.
Recent Views – Allows customers to quickly add previously viewed products before checkout.
Collections Page
Recent Views – Helps customers quickly return to products they were interested in.
Collections List Page
Most Popular – Highlights best-selling items in each collection.
Recent Views – Displays previously viewed products for quick navigation.
How to Implement These Best Practices
Review Your Current Setup – Check your active recommendation boxes and ensure they align with best practices.
Enable Recommended Boxes – Add missing recommendation boxes for improved personalization.
Customize for Your Brand – Adjust the design and layout to match your store’s theme in Appearance Settings.
Verify Your Changes – Click the Verify button to confirm your settings and ensure they are applied correctly.
Need Help?
If you need assistance optimizing your recommendation boxes, feel free to reach out to our support team for personalized recommendations and best strategies tailored to your store.