What is a recommendation scenario?

It is a setting that defines which products to recommend, on which page, to which visitor and by which rule, for example same-brand alternatives on the product page.

Is product matching manual?

No. You set the criteria and matching runs dynamically over your catalog; newly added products join the recommendations if they fit the rule.

Can I run several scenarios at once?

Yes. You can set up multiple scenarios for different pages or behaviors and manage them all from the same panel.

How is it different from the ready-made modules?

Modules like Best-Selling, Complementary or Frequently Bought Together run one fixed logic. Recommender Maker lets you design your own recommendation rules.

Do I need technical skills?

No. Scenarios are built in the panel without code, and the CollectAction team supports the setup.

Recommendations & Personalization

Recommender Maker: Build Your Own Recommendation Scenarios Without Code

Create personalized product recommendations from visitor interests and behavior, match products dynamically and manage all recommendation scenarios from a single panel.

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Recommender Maker: Build Your Own Recommendation Scenarios Without Code

Recommender Maker is a CollectAction module that lets you build personalized product recommendations based on your visitors' interests and on-site behavior. It matches products dynamically, lets you manage recommendation scenarios easily from a single panel and gives every visitor an experience that fits their own shopping journey. Instead of using a fixed recommendation block, you decide which logic runs on which page.

Why Recommender Maker?

Every store has a different sales strategy: one wants to push the new season, another to clear excess stock, another to add accessories to the cart. One-size-fits-all algorithms can't tell these goals apart. Recommender Maker lets you shape recommendation logic around your business goals, so your recommendation blocks don't just show "related items" but also serve your commercial priorities.

How does it work?

Behavior and interest signals: The products a visitor views, the categories they browse and their interactions feed the recommendation logic.
Dynamic product matching: Products are matched automatically by criteria such as category, brand, price range or attributes; as your catalog changes, recommendations update too.
Scenario management: In the panel you set up, edit and switch off scenarios like "same-brand alternatives on the product page", "accessories in the cart" or "picks from the visitor's favorite category on the home page".
Placement: Each scenario appears on the relevant page in a recommendation block styled to match your site.

Example scenarios

Fashion: Alternatives in the same style and price range for a visitor viewing a dress.
Electronics: Only cases and chargers compatible with that model on a phone page.
Beauty: Other products from the same skincare line for a visitor interested in it.
Home and living: Home-page picks from a category the visitor has been browsing at length.

How it differs from ready-made modules

Best-Selling Products, Complementary Products, Frequently Bought Together and You May Also Like are ready-made, single-purpose scenarios. Recommender Maker is the flexible tool for designing scenarios like these with your own rules and managing them all from one panel. You can embed what you build on any page with the Product Recommendation Widget.

Which e-commerce platforms does it work with?

With a single-line script it works with every platform, including Ticimax, IdeaSoft, ikas, T-Soft, Faprika, Akinon, Shopify, WooCommerce and custom software. It stays in sync with your product catalog and order data, with no theme or code changes required.