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Dealbreaker™ Filters - AI-Powered PDP Filters for Shopify
Dealbreaker™ Filters help shoppers refine PDP recommendations by attributes like sleeve, neckline, fit, colour, and fabric.
A closer look
Built for better discovery.
In large catalogues, the lost sale is often one missing non-negotiable. Dealbreaker™ Filters let shoppers refine recommendations by sleeve, neckline, fit, colour, and other product-specific attributes directly on the PDP, while merchandising teams learn which objections matter by category.
Refinement at the moment hesitation appears
A recommendation can be visually close and still fail because of one non-negotiable detail. Dealbreaker™ Filters give shoppers control over those details directly inside the discovery experience rather than forcing them back to a collection page to start again.
Filters can reflect the attributes that actually matter within a category - such as neckline, sleeve, fit, colour, fabric, silhouette or pattern - so refinement follows the way people evaluate the product rather than a generic site-wide taxonomy.
More than a filter UI
Dealbreaker™ Filters work with VisualDNA™ to preserve the parts creating desire while changing the characteristic creating resistance. The result is a narrower set of alternatives that remain relevant to the shopper's original intent.
Every interaction also creates a merchandising signal. Teams can see which attributes shoppers repeatedly change, revealing objections and preferences by product and category.
Turn objections into merchandising intelligence
Dealbreaker™ data can inform assortment decisions, product development and campaign merchandising. For Pretty Lavish, colour emerged as a primary decision driver alongside pattern, silhouette and specific style attributes.
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