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Design and performance of personalized recommendation blocks

In the merciless arena of online commerce, every click counts. Nearly 49% of consumers say they buy products they hadn't anticipated thanks to personalized recommendations (source: Forrester). 80% of consumers are more inclined to finalize an online purchase with brands offering personalized experiences (source: Salesforce), and 85% of them expect a personalized experience, whereas only 10% of companies believe they offer this type of experience (source: CMS Wire).


These figures reveal an undeniable truth: the power of recommendations on your e-commerce site can make or break your success.


In this study, we reveal the performance of personalized recommendation blocks according to their form, display limit and location. It's up to you to choose the most appropriate method for your needs.

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🗝️ Key location(s)

From home pages to shopping carts, category pages and product pages, every touchpoint offers an opportunity to present relevant suggestions. But don't underestimate other strategic locations, such as error pages or unsuccessful search results, which can also be used to hold visitors' attention with personalized recommendations.

After an analysis of our customers :

🤔 Static or dynamic?

When it comes to recommendations, the design of various elements needs to be taken into account: the product card, the buttons... However, a significant difference lies in the way recommendations are presented, and therefore the design of the block. Over 73% of blocks are presented as sliders. But what are the advantages of offering a dynamic version of recommended products

 

First of all, opting for a slider allows you to display a larger number of products. It's also a way of maintaining the same format, whatever the device. The performance of dynamically presented recommendation blocks differs from that of static blocks, as follows: 

These results may be explained by the greater possibility of product display, but to be sure, we have analyzed block performance according to product display limit.

👌 Neither too little nor too little

The number of products displayed is also a major parameter to be taken into account to ensure the performance of the recommendation block. First and foremost, we need to differentiate between the notion of simultaneously displayed products and the product display limit. Simultaneously displayed products are the number of products that appear on the screen at the same time; this number may vary according to screen size. 

 

On the other hand, the product display limit is the total number of products displayed in the block. In the case of a static block on desktop, the number of products displayed simultaneously will therefore be similar to the product display limit.

The number of products displayed simultaneously on mobile varies between 1 and 3, which means that the average display is 2 products.


This number varies from 1 to 6 depending on the shape and position of the block, so the average number of products displayed simultaneously is 4.


In the case of a slider, the product display limit is between 3 and 50, with an average of 9 products.


According to our study, the performance of the recommendation block is influenced by the limit of products set. This is explained by the relevance of the products proposed: the higher the limit, the less the products will correspond to the visitor's needs.


Personalized recommendations are one way to improve the user experienceIn addition to the block format, we also need to consider the question of product cards and their functionalities.

🚀 One click to conversion

The appearance of the products presented in the recommendation block is generally identical to that of the product cards on the category page. However, depending on the placement of the block and the desired goal, the product card can be enhanced withfeatures to boost the potential of these products. The presence of a quick add-to-cart CTA can not only capture the visitor's attention on products, but also maximize the chances of them making a spontaneous purchase. Adding this functionality has a direct impact on the user experience, smoothing the purchasing process without forcing the visitor to go to another page. In specific cases, the addition can be completed by size, color or quantity selectors...

Just over half (64%) of the products featured in recommendation blocks have this feature. The performance of blocks whose products have a quick add-to-cart feature differs from the others:

Mastering recommendations is a major challenge, where every parameter counts. From complex model management to strategic design, recommendations represent a key lever for improving sales performance anduser experience. Since every need, every store and every product is different, the best way to ensure the relevance of the strategy and functionalities deployed is to carry out an AB test.


You can also view detailed performances by location, vertical and discover new comparisons, by download the full infographic from the form below.


Take a look at our article on the best personalization templates, which suggests powerful recommendation strategies.

To download the complete study, please fill in the form below:

Design and performance of personalized recommendation blocks

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