Build intelligent product recommendations in Magento 2 without being limited to rigid related, upsell, and cross-sell relationships.

Kowal_RelatedProductsProfiles is a module that lets you design your own recommendation scenarios based on profiles, product attributes, activation conditions, target filters, and flexible placement in the store layout. As a result, recommendations stop being a static list and become part of your store sales strategy.

Turn simple product lists into real sales scenarios

In standard Magento, related products are often too basic 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 in checkout. Sometimes a list should work only for selected customer groups, only during a seasonal campaign, or only when the product meets specific catalog conditions.

This module was built exactly for those use cases.

Instead of manually linking products together, you create a recommendation profile. The profile defines:

• where it should work,
• which product should activate it,
• how to select target products,
• how to narrow and sort them,
• how they should look,
• where they should be rendered,
• and whether they should feed native Magento lists.

One tool, many implementation areas

The module works in the most important areas of the store:

• on the product page,
• in the cart,
• in checkout,
• in native Related Products blocks,
• in native Upsell Products blocks,
• in native 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 location in the store.

Profiles that adapt to your catalog

The module greatest strength is that recommendations can be built not only manually, but also dynamically based on product attributes.

You can create profiles that:

• select products from the same collection,
• find products with the same graphic,
• show products from the same category,
• promote another product base related to the viewed product,
• narrow results to specific product types,
• work only for selected store views and customer groups.

Example?

A customer is viewing a rashguard with the HALLOWEEN 25 graphic. The profile can automatically find products with the same graphic in other product lines, such as shorts, leggings, or accessories. Another profile can use the same product as the context in the cart and suggest that the customer add products from a selected assortment base to the order.

Create recommendations based on conditions, not exceptions

Each profile can have its own:

• Activation Conditions,
• Matching Rules,
• Target Product Filters,
• sorting,
• product limits,
• rendering variant,
• activity date range.

In practice, this gives you a great deal of flexibility.

You can build a profile that runs only for products with the brand = Nike attribute, only in the B2C store, only for retail customers, and only during a specific campaign. You can also build a profile that uses a cart product as the reference point and suggests add-ons based on shared catalog attributes.

This is no longer a simple product list. It is a rule-based recommendation engine that can be adapted to the store real sales model.

Choose which product should be the context

On the product page, the context is the current product. But in the cart and checkout, that answer is not always obvious. That is why the module lets you define the Context Strategy, which is the method for selecting the contextual product.

You can decide that profiles should be based on:

• the first product in the cart,
• the most recently added product,
• the product with the highest price.

This flexibility makes a big difference in projects where the customer adds several different products to the cart and recommendations must follow specific business logic.

Separate scenarios for the product page, cart, and checkout

What works well on the PDP does not always make sense in the cart. The module lets you separate these scenarios without adding multiple separate extensions.

On the product page, you can display a list of products from the same collection or the same style. In the cart, you can promote add-ons that increase order value. In checkout, you can prepare a simplified, more cautious list of products supporting cross-sell.

All within a single profile system.

Feed native Magento lists: append or replace

Not every store wants to give up native Magento mechanisms right away. That is why the module supports integration with:

• Related Products,
• Upsell Products,
• Crosssell Products.

Each profile can work in one of two modes:

• append
  keeps native products and adds module results to them,
• replace
  fully replaces the native list with products from the profile.

This is a very convenient implementation approach. You can start by lightly extending current Magento lists and later move to full recommendation control from profiles.

Render exactly where you want

A major advantage of the module is the ability to control the rendering location using XML fields assigned to the profile.

Instead of adapting the module to one rigid layout, you can place the list exactly where the project needs it:

• below the product description,
• below the price,
• below the purchase form,
• in an additional section,
• in a custom theme container,
• in a location required by a custom frontend layout.

This is especially important for stores based on advanced or heavily customized themes. The module does not force you into a single layout. You decide where and how the profile should be embedded.

Three frontend presentation variants

The module does not stop at product selection logic. It also lets you adjust how the list is presented to match the page type and implementation style.

Available variants:

• Grid,
• Slider,
• Compact.

This means you can use the same recommendation engine for both an expanded section on the product page and a compact list in the cart or a more compact module in checkout.

You also get control over view elements:

• product name,
• price,
• regular price,
• short description,
• add to cart button,
• image role.

Creating new profiles is clear and scalable

The module was built so that an implementation or agency team can develop additional scenarios without rebuilding the entire solution.

When creating a new profile, you configure:

• basic administrative information,
• placements and scope of operation,
• store views and customer groups,
• context strategy,
• activity date range,
• activation conditions,
• matching rules,
• target product filters,
• sorting and display method,
• integration with native Magento lists,
• embedding via XML.

This means another merchandising scenario does not immediately require another custom module. Very often, another profile is enough.

Real-world use cases

1. Same graphic, different product base

A customer views a product from a specific line. Based on matching rules, the module finds products with the same graphic but from other assortment families. This is a great scenario for lifestyle, sports, and fashion brands.

2. Cross-sell based on a cart product

The customer already has a selected product in the cart. The profile uses it as context and selects add-ons that fit the purchase but are not manually linked as native cross-sell items.

3. Time-limited campaign

Need recommendations that work only during a specific sales campaign? Simply configure a profile with From Date and To Date, without building additional logic.

4. Replacing native upsells

If standard Magento upsells are too simplistic, a profile can take over this role and work in replace mode, offering much more precise product matching.

5. Integration with a custom theme

Thanks to XML fields, the list can be embedded exactly where the project frontend requires it, without building another dedicated layout extension.

Who this module is for

Kowal_RelatedProductsProfiles will be especially valuable for:

• Magento 2 implementation agencies,
• software houses developing e-commerce stores,
• merchants who want to make recommendation logic independent of manually maintained relationships,
• projects with an extensive catalog and many business attributes,
• stores using custom themes and complex layouts.

What you gain

When you buy the module, you get not just another product list, but a tool for designing your own recommendation scenarios in Magento 2.

It is a solution that:

• increases implementation flexibility,
• organizes merchandising logic,
• reduces the need to write additional code exceptions,
• makes better use of catalog attributes,
• lets you grow the store without rebuilding the entire recommendation mechanism.

If standard related, upsell, and cross-sell are too limited for your project, Kowal_RelatedProductsProfiles gives you a control layer that Magento simply does not provide by default.