Magento Product Recommendations: Boost the Accuracy by 86%

Are your customers satisfied with the product recommendations on your eCommerce website that is built in Magento? 

No, not really? We thought so! 

Effective product recommendations are crucial for enhancing the customer experience. 

You must know that a good product recommendation strategy produces these results: 

• Increased customer satisfaction. 
• More sales = more revenue for eStore owners. 

However, when search results fail to match user’s preferences, they feel frustrated and dissatisfied. The Adobe Sensei product recommendations struggle with accuracy, leading to irrelevant suggestions that do not meet user expectations. 

Issues with Magento product discovery and recommendation accuracy can highly affect overall customer satisfaction. 

This blog will discuss the issues with Adobe Commerce product recommendations and its solutions. 

Does Magento Provide Product Recommendation Features?

Yes, the platform offers various product recommendation features, including AI-powered suggestions and automatic related products in Magento 2.

However, Magento’s product recommendation algorithms need more precision, to avoid Magento issues with relevance and user satisfaction.

Entrepreneurs looking to enhance Magento product discovery and improve the customer experience should consider integrating third-party solutions.

These integrations can address the Magento product recommendation challenges and provide hyper-personalization in recommendations, boosting sales and overall satisfaction.

Additionally, the built-in Magento recommendation engine may not always align with the specific needs of your customers.

Investing in third-party tools can enhance Magento product catalog exposure and ultimately drive customer engagement and higher conversions through improved Magento personalization.

Let's dive deeper into what the Magento smart product recommendations are offering today.

What Product Recommendation Features Does Adobe Sensei Offer? 

Below are the Adobe Sensei recommended product widgets: 

• Most viewed: Recommends items most viewed by shoppers in the past seven days.
• Most added to cart: Recommends items frequently added to carts by shoppers in the past seven days.
• Most purchased: Recommends items most purchased by shoppers in the past seven days.
• Viewed this, viewed that: Recommends items commonly viewed by shoppers who viewed the specified item.
• Recommended for you: Recommends items based on each shopper’s current and previous on-site behavior.
• Bought this, bought that: Recommends items frequently purchased by shoppers who purchased the specified item.
• Viewed this, bought that: Recommends items often purchased by shoppers who viewed the specified item.
• Trending: Recommends items based on the recent popularity of the product.
• More like this: Recommends items based on similar content and attributes. 

Now, this gives rise to three questions: 

1. Are these many widgets enough?

No, you need more widgets to beat other eCommerce platforms in the market.

2. Do they all work efficiently?

Not really. Many Magento-based eStore owners have expressed grievances about the quality of these algorithms.

3. And where does Magento fall short of fulfilling user requirements?

Let’s dive into the next section to understand the shortcomings of Magento recommended products.

What Does Magento Lack?

Magento AI recommendations offer various widget features, but they often fall short of meeting user requirements due to their limitations.

These shortcomings can lead to Magento product recommendation issues, impacting user satisfaction and overall store performance.

Entrepreneurs looking to enhance their Magento storefront and improve customer experience may need to consider third-party integrations.

Experro provides advanced profile-based recommendations that can be seamlessly integrated with Magento to address the following Magento recommendation engine problems.

1. Pick-up Where You Left Off

Magento 2 product recommendations don't offer "Pick-up Where You Left Off" suggestions. This feature is crucial for reducing cart abandonment rates and enhancing the shopping experience by allowing customers to resume their browsing seamlessly.

Experro provides this functionality to ensure that your customers can effortlessly continue their shopping journey. This further improves the retention rates.

2. Inspired By Your Browsing History

Magento product recommendation algorithm lacks an "Inspired By Your Browsing History" suggestion. This capability helps in displaying products aligned with the shopper's interests, boosting engagement and increasing the likelihood of conversions.

Experro provides this recommendation to tailor the shopping experience to each customer’s preferences, driving more personalized interactions.

3. Query Based

Neither Magento nor Magento enterprise provide "Query Based" recommendations. These recommendations use specific search queries to deliver highly relevant products, improving customer satisfaction and search efficiency.

Experro's query-based recommendations enhance search results, making it easier for customers to find exactly what they need. 

4. Frequently Bought Together

Magento product recommendations don’t offer "Frequently Bought Together" suggestions. Adding this to their widgets can enhance Magento product catalog visibility and increase sales by offering relevant product combinations that users are more likely to purchase together.

Experro provides this recommendation to help you upsell and cross-sell products effectively, maximizing sales opportunities.

5. Frequently Viewed Together

Magento customer recommendations does not provide "Frequently Viewed Together" suggestions. Highlighting products that are often viewed together encourages shoppers to explore related items, potentially leading to higher sales. 

Experro’s recommendation feature promotes related products, fostering discovery and encouraging additional purchases. 

6. Recently Purchased

Magento eCommerce recommendations lack the "Recently Purchased" algorithm. Displaying recently purchased items can create a sense of urgency and trust, encouraging other shoppers to buy those popular products. 

Experro offers this recommendation to boost user’s confidence in the product and creates urgency for faster purchase. This leads to increased conversions. 

7. Recently Viewed

Magento product discovery doesn't provide "Recently Viewed" recommendations. Integrating third-party solutions can provide users with more relevant ‘Recently Viewed’ suggestions, helping them easily find and reconsider products.

Experro’s feature helps customers quickly navigate back to items of interest, enhancing convenience and boosting sales.

A research report shows can boost revenue by 300%, conversions by 150%, and average order value by 50%.

Experro's advanced recommendation engine enhances Magento product recommendations for your customers by offering more accurate and personalized suggestions.

Therefore, considering Experro integration with your existing Magento site should be the best solution to provide an effective customer experience. 

What Makes Experro the Ultimate Fix for Magento's Product Recommendation Flaws? 

Experro is the ultimate fix for Magento's product recommendation flaws. Headless Magento integration can help entrepreneurs display their customer’s preferences with ease. 

The platform provides 12 unbeatable widgets that can help your customers increase Magento product recommendation accuracy.

With Experro, you can automate product recommendations in Magento 2, ensuring a smooth and efficient user experience. 

Additionally, our eCommerce merchandising and AI-powered product recommendations for Magento offer enhanced product visibility and tailored promotions.

This makes it the perfect solution for entrepreneurs looking to optimize their Magento storefront and boost conversions.

Conclusion 

Although Magento admin panel offers a variety of product recommendation features, it needs to improve in terms of accuracy and efficiency. 

This leads to user dissatisfaction and missed sales opportunities. The limitations of Magento's recommendation engine can impact the overall shopping experience on your Magento storefront. 

However, integrating Experro can effectively address these challenges.  

Experro's advanced AI-powered recommendation engine and comprehensive eCommerce machine learning algorithms provide more accurate, and personalized Magento product suggestions. This enhances user satisfaction and drives sales significantly. 

For online businesses aiming to overcome Magento's product recommendation flaws and boost conversions, Experro is the ultimate solution.