Our Customers

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

Unlock the True Potential of eCommerce Search

Move from legacy, one-size-fits-all search to personalized search to dramatically
improve your conversions, engagement, and revenue per visit.

Use Behavioral Data to Personalize Results

Boost engagement and conversion rates by delivering unique, contextual results based on a shopper’s intent behind the search query, as well as their real-time behaviors across recommendations, content, and more.

More Finding, Less
Searching

Searching is not the same as finding. Leverage AI and machine learning to display the most relevant products in your catalog upfront, increasing customer satisfaction and revenue with every query.

Visually Engage
and Delight

Deliver a visually engaging, immersive site search experience, returning new products and keywords with every keystroke, and continuously refining the items displayed onscreen as a shopper types their search query.

Drive Higher Engagement with More Control and Interactivity

Combine visually dynamic search with self-driving AI. Layer it with advanced
business controls for the most eCommerce-ready search.

Powerful Boosting and Filtering

Ensure user searches are successful and your business goals are met, by leveraging conditional boosting, burying, filtering, and search term linking.

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Combined Content and
Catalog Search Results

Engage customers by returning not just the most relevant products but also related informational content. Integrate brand videos, blogs, recipes, and guides with the results to create memorable shopping moments.

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Machine Learning Search Algorithms

Continuously improve your search results with machine learning search algorithms that leverage Wisdom of the Crowd and other strategies. Expand the synonym library based on shoppers’ previous searches and behavior to avoid “No results” and ensure relevance.

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Real-time Catalog Updates

Ensure your commerce catalog is indexed in real time, so that shoppers get the latest information on price, availability, and other attributes. Make obsolete and irrelevant results and stock-outs a thing of the past.

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Draw Inspiration From Our Personalization Resources

Explore our eCommerce personalization resources — best practices, case studies,
videos, and more — to stay ahead of the curve.

Other eCommerce Personalization Tools

Explore other solutions from our end-to-end personalization software,
and learn how they enable individualized experiences at shopper
touchpoints beyond search.

Discover™

Personalized Browse and Navigation

Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper’s real-time intent.

B2B Find™

Personalized eCommerce Search

Deliver exceptional, B2C-like personalized experiences to your B2B shoppers.

Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper's real-time intent.

Learn More >

Leverage 150+ pre-built strategies and a decisioning engine to curate 1:1 recommendations that boost conversions and basket sizes.

Learn More >

Help shoppers find visually similar products and provide complete-the-look recommendations, based on product images, and without manual merchandising.

Learn More >

Provide smart upsell and cross-sell recommendations using text descriptions for niche, seasonal, and long-tail products that remain buried due to lack of historical or events data.

Learn More >

Increase engagement and conversion rates with urgency messaging based on real-time views, purchases, and inventory levels.

Learn More >

What Leading Brands Say About Our Personalization Solutions

Unleash the True Potential of Personalized Search

40% of revenue comes from sessions that search. Shoppers are likely to bounce if search does not return relevant results.

Use Algonomy Find to enable contextual relevancy and boost product discovery in every search experience.

Fill out the form, and one of our search experts will get in touch shortly.

Leverage Personalized Commerce Search to Improve Product Discovery

FAQs

Our research revealed that 50% of people can’t find what they’re looking for when they search. Personalized, self-learning search results significantly boost product discovery, making it a crucial strategy for digital revenue growth.
Find uses a metric known as Findability™ Score that considers click thru, pagination, and bounce rate to quantify the success of each search query. Since the goal is to help shoppers get to what they’re searching for as quickly as possible, Findability increases the shorter their journey is. This enables marketers to measure and optimize results to maximize conversions and revenues.
Find has real-time business controls to blend personalization, Wisdom of Crowds, and specific business objectives such as merchandising and margin management.
Find uses a combination of Solr, open-source search technology, enriched with Personalization AI, Wisdom of the Crowd based self-learning capabilities, streaming catalog ingestion, and business controls. Individual user affinities and behavior are used to deliver the most relevant search results, while aggregated user queries help with automated learning and eliminating zero 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.
Our clients have experienced significant growth in KPIs from using Find:
+28% Overall Revenue Per Session
+20% Items Purchased from Site Search
- 6% in search bounces/search exits
Reduced zero-results scenarios

FAQs

Our research revealed that 50% of people can’t find what they’re looking for when they search. Personalized, self-learning search results significantly boost product discovery, making it a crucial strategy for digital revenue growth.
Find uses a metric known as Findability™ Score that considers click thru, pagination, and bounce rate to quantify the success of each search query. Since the goal is to help shoppers get to what they’re searching for as quickly as possible, Findability increases the shorter their journey is. This enables marketers to measure and optimize results to maximize conversions and revenues.
Find has real-time business controls to blend personalization, Wisdom of Crowds, and specific business objectives such as merchandising and margin management.
Find uses a combination of Solr, open-source search technology, enriched with Personalization AI, Wisdom of the Crowd based self-learning capabilities, streaming catalog ingestion, and business controls. Individual user affinities and behavior are used to deliver the most relevant search results, while aggregated user queries help with automated learning and eliminating zero 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.
Our clients have experienced significant growth in KPIs from using Find:
+28% Overall Revenue Per Session
+20% Items Purchased from Site Search
- 6% in search bounces/search exits
Reduced zero-results scenarios
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