كيف تنشئ قسم منتجات مناسبة لك بناءً على البيانات بدون ما يكون مزعج

Sahl Monday,17 Nov 2025

Many online stores in Saudi Arabia are now relying on smart features and personalized recommendations to offer products "suitable for you." However, the problem is that some stores implement this concept in an annoying way that makes customers feel monitored or bombards them with recommendations unrelated to their interests. The idea is that this section, if implemented intelligently, can actually become a powerful tool that boosts sales and makes the customer experience easier without any pressure. In this blog, we'll explain how to build a professional recommendations section, using data in a simple, clear, and customer-friendly way.

⭐ 1 – Collect clear and simple data without exaggeration

The first step to building non-intrusive recommendations is to collect logical data such as products the customer viewed, most visited categories, or items added to their cart. There's no need to collect sensitive or personal information. The more natural and simple the data, the more comfortable the recommendations will be for the customer, and they won't feel like you're tracking their every move.

⭐ 2 – Don't display recommendations immediately after the customer enters the site.

A common mistake is for stores to display "Products suitable for you" as soon as the customer enters the site, even though they haven't given you any indication of their interests. It's better to let the system learn customer behavior within a few seconds or after they've visited two or three pages, and then gradually start displaying recommendations.

⭐ 3 – Display recommendations in natural locations on the site.

The best places for this section are "after the product description," "at the bottom of the homepage," or inside the "shopping cart" as additional suggestions. Placing it in logical locations makes the customer feel that the recommendations are part of the experience, not an annoying advertisement.

⭐ 4 – Use a limited number of products per suggestion.

Don't display 20 products at once! The goal is to avoid overwhelming the customer. It's best to have only 4 to 6 products, all of which should be genuinely suitable based on your data. Too many recommendations will cause the customer to lose focus and find the section annoying instead of helpful.

⭐ 5 – Link recommendations to actual behavior, not unrealistic expectations.

If a customer has viewed electronics products, don't offer clothing recommendations, even if you have prior data about them. The system relies on the current moment because they are in a specific buying mood. This precision is what makes the recommendations truly "suitable" for you, not just theoretically.

⭐ 6 – Don't repeat the same products the customer has seen multiple times.

One of the most annoying things for customers is seeing the same product "repeatedly" everywhere. Ideally, the system should suggest new products similar to those they've already seen, without direct repetition. This gives the impression that the recommendations are intelligent and constantly updated.

⭐ 7 – Use a simple title that conveys the message without being intrusive.

Instead of writing "We know what you like," use gentler phrases like:

"You might also like," "Similar products," "Suggestions based on your browsing."

These phrases don't make the customer feel monitored and make them feel that it's about helping, not tracking.

⭐ 8 – Make recommendations work even for unregistered visitors

Not every visitor logs in. Many people in Saudi Arabia like to browse for a few minutes before creating an account. The smart system needs to provide recommendations even without registration… based solely on the current session. This significantly increases conversions for “quick-checkout” customers.

⭐ 9 – Continuously test the section and ensure it truly helps the customer

Poor recommendations are worse than no recommendations at all. Test which products customers click on, which ones they tap, and whether customers completely ignore the section. All this information helps you refine recommendations and make them more accurate over time.

The “Products That Suit You” section is one of the most powerful tools for enhancing customer experience and increasing sales if it's built intelligently and doesn't rely on intrusive recommendations. The secret lies in simplicity, a well-organized display of the section, and its reliance on clear data. Stores in Saudi Arabia that have implemented this concept correctly have seen a significant increase in cart additions because customers feel understood by the store, without feeling monitored.