Best practices for placing AI-driven product recommendations in eCommerce to boost CR, AOV, and CLV

In today's competitive eCommerce market, personalized product recommendations are essential for driving sales and enhancing customer loyalty. Utilizing AI-driven product recommendations can significantly improve key performance metrics, including conversion rates (CR), average order values (AOV), and customer lifetime value (CLV).
Here’s how these recommendations can benefit your eCommerce shop.

Key benefits at a glance

• Boost Conversion Rates (CR) by up to 19%
• Increase Average Order Value (AOV) by up to 16%
• Enhance Customer Lifetime Value (CLV) by up to 20%
• Create a seamless shopping experience

Types of product recommendations

An eCommerce shop can leverage two main types of product recommendations, particularly with the Aqurate Personalize tool:

• Tailored suggestions based on customer behavior, preferences, and past purchases: Recommended for you, Alternative products, You may also like, Frequently bought together, Upsell.

• Suggestions based on each user's recent actions and shop's products: Recently viewed, Recently bought, Popular now, Popular in category, New in category, New in store.

Enhancing Conversion Rates (CR)

Strategic placements:

• Homepage: showcase "Recommended for You" and "Popular Now" sections to attract immediate attention.
• Category Pages: highlight "New in Category" and "Popular in Category" products to encourage further browsing and purchases.
• Product Pages: suggest "Alternative Products" and "You May Also Like" items to increase the likelihood of sales.

Why it works:

By displaying personalized and popular items, you can capture the interest of visitors, making it more likely they’ll make a purchase. Studies show that personalized homepage promotions can increase conversion rates by up to 4.5%.

💥 Aqurate Personalize has proven an increase in conversion rate by up to 19%.

Increasing Average Order Value (AOV)

Strategic placements:

• Product Pages: use "Frequently Bought Together" and "Upsell To" recommendations to encourage bundle purchases and higher-priced alternatives.
• Cart and Pop-Up: provide last-minute suggestions of complementary products right before checkout.

Why it works:

Encouraging customers to add more items or choose higher-priced products boosts the overall value of their orders, directly increasing your revenue. Implementing "Frequently Bought Together" can increase AOV by 10-30%.

💥 Aqurate Personalize has proven an average order value increase of up to 16.

(Check out the Case Study)

Enhancing Customer Lifetime Value (CLV)

Key strategies:

• Email Recommendations: send personalized "Recommended for You" suggestions to keep users engaged and returning for more purchases.
• Homepage suggestions: use “New in Store” and “Recently Bought” to make it easy for users to find products they’ve shown interest in, increasing the likelihood of repeat purchases.

Why it works:

By consistently offering relevant and personalized recommendations, you can build a loyal customer base that continues to return to your site for future purchases. Personalized email recommendations can increase CLV by 20%.

💥 Aqurate Personalize has proven to increase online revenue by up to 23%.

Want to test Aqurate Personalize (free for 30 days)?

Conclusions

Implementing AI-driven product recommendations is crucial for optimizing eCommerce performance. 
By leveraging tools like Aqurate Personalize, eCommerce businesses can tailor their strategies to meet specific goals, ensuring a seamless and engaging shopping experience that drives sales and fosters long-term customer loyalty.