Best eCommerce Personalization Software for Algonomy Find
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Compare the Top eCommerce Personalization Software that integrates with Algonomy Find as of October 2024
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This a list of eCommerce Personalization software that integrates with Algonomy Find. Use the filters on the left to add additional filters for products that have integrations with Algonomy Find. View the products that work with Algonomy Find in the table below.
What is eCommerce Personalization Software for Algonomy Find?
eCommerce personalization software enables ecommerce retailers to personalize the shopping experience of online shoppers. eCommerce personalization software offers the ability to personalize the on-site experience, display personalized discounts and offers, customize product recommendations, and more. Compare and read user reviews of the best eCommerce Personalization software for Algonomy Find currently available using the table below. This list is updated regularly.
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Algonomy
Algonomy
Algonomy’s real-time CDP helps marketers provide consistent personalized customer engagement in the moment. It enables real-time activation of audiences by unifying customer identities across online and offline channels for a single view. It is built for retail with the ability to track customer behavior using 1,200+ measures and dimensions out of the box. It uses ML algorithms to create micro-segments, throw up deep insights and uncover marketing opportunities throughout the customer lifecycle. -
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Algonomy Recommend
Algonomy
Recommend is an eCommerce personalization platform that delivers individualized, contextually relevant product recommendations using a library of 150+ pre-built recommendation strategies. It also empowers you to build and test custom personalization strategies with ease without having to depend on your data science team. Further, the platform offers merchandising controls to boost, restrict, or set manual rules to help you meet specific business objectives. -
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DeepRecs
Algonomy
DeepRecs makes recommendations for 'Similar Products' and ‘Complete the Look’ using product images and without manual merchandising. It leverages convolutional neural networks to detect and extract feature vectors and graph visual similarities between products. Further, DeepRecs helps shoppers discover new, seasonal, niche, and long-tail products—that otherwise remain buried due to lack of historical data—using NLP algorithms that leverage catalog descriptions and other textual data. -
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Algonomy Discover
Algonomy
Discover is a platform for personalizing browsing and navigation experiences, be it on the web or mobile store. It takes eCommerce product discovery to the next level for greater engagement and conversions. It dynamically re-sorts items on category pages in real time, instantly matching shoppers’ preferences as they browse. It offers controls for manual merchandising, restricting, boosting, and more. Further, the tool is equipped with functionalities for testing, optimizing, and reporting. -
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Algonomy Engage
Algonomy
Engage helps eCommerce marketers deliver personalized content and promotions to move shoppers down the purchase funnel. Use a centralized dashboard to create, manage, and deliver personalized campaigns across major buying channels - web, mobile, email, etc. Use a robust set of pre-built templates for overlays, pop-ups, embeds, etc. to trigger custom messages based on shopper signals such as exit intent, category views, time spent, and more.
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