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PrzelewBuild smart product recommendations in Magento 2 without being limited to rigid related, upsell and cross-sell relations.
Kowal_RelatedProductsProfiles is a module that lets you design custom recommendation scenarios based on profiles, product attributes, activation conditions, target filters, and flexible embedding within the store layout. As a result, recommendations stop being a static list and become part of your stores sales strategy.
In standard Magento, related products are often too simplistic to support more demanding implementations. A store may need to show different products on the product page, different ones in the cart, and different ones during checkout. Sometimes a list should work only for selected customer groups, only during a seasonal campaign, or only when a product meets specific catalog conditions.
This module was built for exactly these cases.
Instead of manually linking products, you create a recommendation profile. A profile defines:
The module works in the key areas of the store:
Related Products blocks,Upsell Products blocks,Crosssell Products blocks.This means one profile can become part of several different merchandising scenarios, and the implementation team does not need to build separate logic for every storefront location.
The biggest strength of the module is that recommendations can be built not only manually, but also dynamically based on product attributes.
You can create profiles that:
Example?
A customer views a rashguard with artwork HALLOWEEN 25. The profile can automatically find products with the same artwork in other product lines, for example shorts, leggings, or accessories. Another profile can use the same product as context in the cart and propose complementary items from a selected assortment base.
Each profile can have its own:
Activation Conditions,Matching Rules,Target Product Filters,In practice, this provides a huge amount of flexibility.
You can build a profile that triggers only for products with brand = Nike, only in a B2C store, only for retail customers, and only during a specific campaign. You can also build a profile that uses the cart product as a reference point and suggests add-ons based on shared catalog characteristics.
This is no longer a simple product list. It is a rule-based recommendation engine that can be aligned with a real store sales model.
On the product page, the context is the current product. But in the cart and checkout, the answer is not always obvious. That is why the module lets you define a Context Strategy, meaning the method of selecting the contextual product.
You can decide that profiles should be based on:
This flexibility makes a major difference in projects where customers add multiple different products to the cart and recommendations must follow specific business logic.
What works well on the PDP does not always make sense in the cart. The module lets you separate these scenarios without multiplying dedicated extensions.
On the product page you can display products from the same collection or style. In the cart you can promote add-ons that increase order value. In checkout you can prepare a simplified, more conservative list that supports cross-sell.
All of this within one profile system.
Not every store wants to abandon native Magento mechanisms right away. That is why the module supports integration with:
Related Products,Upsell Products,Crosssell Products.Each profile can run in one of two modes:
appendreplaceThis is a very convenient implementation approach. You can start by lightly extending existing Magento lists and later move to full recommendation control from profiles.
A major advantage of the module is the ability to control the rendering location using XML fields assigned to a profile.
Instead of fitting the module into one rigid layout, you can place the list exactly where the project needs it:
This is especially important in stores built on advanced or heavily customized themes. The module does not force a single layout. You decide where and how the profile should be embedded.
The module does not stop at product selection logic. It also lets you tailor how the list is presented to the page type and implementation needs.
Available variants:
Grid,Slider,Compact.This allows you to use the same recommendation engine for an extended section on the product page, a tight list in the cart, or a more compact module during checkout.
It also provides control over view elements:
The module was built so an implementation or agency team can develop additional scenarios without rebuilding the entire solution.
When creating a new profile, you configure:
This means that a new merchandising scenario does not immediately require another custom module. Very often, another profile is enough.
A customer views a product from a specific line. Based on matching rules, the module finds products with the same artwork but from other assortment families. This is an excellent scenario for lifestyle, sports, and fashion brands.
The customer already has a selected product in the cart. The profile uses it as context and selects add-ons that match the purchase but are not manually linked as native cross-sells.
Need recommendations that run only during a specific sales action? Just configure a profile with From Date and To Date without building additional logic.
If standard Magento upsells are too simplified, a profile can take over in replace mode and deliver much more precise product matching.
Thanks to XML fields, the list can be embedded exactly where the projects frontend requires it, without building another dedicated layout extension.
Kowal_RelatedProductsProfiles is especially valuable for:
By purchasing the module, you gain not just another product list, but a tool for designing your own recommendation scenarios in Magento 2.
This solution:
If standard related, upsell and cross-sell are too limited for your project, Kowal_RelatedProductsProfiles adds a control layer that Magento simply does not provide out of the box.
