Discover™

Eliminate Endless Scrolling and Filtering with Dynamic, Personalized Product Listing Pages

Transform static product listings into dynamic, personalized experiences that drive product discovery and conversions.

Our Customers

Leading brands across the globe have grown their revenue with Algonomy’s eCommerce personalization software.

Create a Dynamic Shopping Experience

Re-sort the product display in real time, instantly matching the shoppers’ current and past preferences as they browse, as if you were re-arranging the in-store display for every visit.

Get fine-grained control over your merchandising

Fine-tune your product, browse and catalog rules with controls for merchandising, boosting, blacklisting, exclusions etc.

Easily personalize by attributes

Customize the importance placed on different attributes, including product, price, newness, brand, category affinities, etc.

Increase Browse and Navigation
Click-Through

Lift engagement and get past decision fatigue by surfacing the most relevant products on your category pages – be it on the web or mobile store.

Personalized Sorting

Eliminate the effort for customers to dig deep into product catalogs to locate the products they prefer by presenting the most relevant products upfront.

Dashboard Reports

Get visual insights into key performance metrics and understand the impact of your browse and navigation personalization within minutes.

Test
and Optimize

Rapidly test different configurations with A/B and MVT capabilities to determine the most impactful personalization settings for your shoppers.

Mobile Configurations

Eliminate the effort for customers to dig deep into product catalogs to locate the products they prefer by presenting the most relevant products upfront.

Explore Our Case Studies

Ready to see Algonomy Discover™ in action? Let’s talk.

FAQs

  • Reduced effective acquisition spend: Helps increase conversion per acquisition with dynamic landing and product listing pages that re-organize listings and facets in real time with respect to a shopper’s preference.
  • Increased customer satisfaction: Shows relevant products to individual customers as they shop. Customers don’t have to dig deep into catalogs and shuffle through multiple pages to find the products they prefer.

Our clients have implemented Discover to drive engagement, clickthrough rate, and revenue per visit.

Yes. Discover offers self-service controls:

  • Manual Merchandising: Determine which products always appear at the top of a returned list across the site and specific categories.
  • Blacklist & Restrict: Control which products aren’t displayed in certain contexts: site-wide or by category, strategy, or page.
  • Coat-tail Boosting: Promote and reveal new brands by ranking them to match/coattail similar, established brands.
  • Boosting: Promote products to the top of the list, defined by any attribute you choose. Interleave long-tail products within the top results.

Yes. Personalization should respect your business and merchandising commitments. Through a simple user interface, merchandisers can set custom weights for different attributes such as brand, category, price, newness, and more. In addition, personalization delays can be set to impact how quickly you want to influence search results.

For new or unknown shoppers, the algorithm uses global weights to sort products and ensure relevance. These global ranks display the most popular/trending items being viewed or purchased, or items that have a high contribution to revenue. As the shopper starts interacting with items, the results get further personalized and influenced by their real-time behavior.

Algonomy understands the unique needs of different retail segments and has proven expertise with the verticals of fashion & apparel, grocery and hypermarkets, convenience stores, restaurant/QSR, specialty, pharma & healthcare, beauty, consumer electronics, B2B, and more.

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale