Best eCommerce Software for Algonomy Find

Compare the Top eCommerce Software that integrates with Algonomy Find as of October 2024

This a list of eCommerce 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 Software for Algonomy Find?

eCommerce software provides businesses with a platform and software tools to sell goods and services online, as well as manage all aspects of online commerce including order management, sales tracking, marketing, payment processing, and more. Compare and read user reviews of the best eCommerce software for Algonomy Find currently available using the table below. This list is updated regularly.

  • 1
    Algonomy

    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.
  • 2
    Algonomy Social Proof Messaging
    Social Proof converts real-time data about your shoppers and products into messages that accelerate conversions and drive up sales. It helps instill shopper confidence and trust with real-time visibility into trends, popularity, and purchase metrics. Its pre-built templates and controls allow you to customize the design, select the page type, and choose the message placement without developer support. Further, you can A/B test variants to determine which one is driving your business metrics.
  • 3
    Algonomy Recommend
    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.
  • 4
    DeepRecs

    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.
  • 5
    Algonomy Discover
    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.
  • 6
    Algonomy Engage
    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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