7 Integrations with Algonomy Real-time Customer Data Platform
View a list of Algonomy Real-time Customer Data Platform integrations and software that integrates with Algonomy Real-time Customer Data Platform below. Compare the best Algonomy Real-time Customer Data Platform integrations as well as features, ratings, user reviews, and pricing of software that integrates with Algonomy Real-time Customer Data Platform. Here are the current Algonomy Real-time Customer Data Platform integrations in 2025:
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1
Algonomy Campaign
Algonomy
Algonomy Campaign is an omnichannel campaign and customer journey orchestration platform that helps marketers drive individualized, journey-based marketing based on deep customer insights. Leverage pre-built, automated segments to activate audiences for specific use cases such as churn, cart abandonment, etc. in real-time. It comes with an intuitive campaign calendar using which you can create, modify, and track a campaign and the journeys within. -
2
Algonomy Social Proof Messaging
Algonomy
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
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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Algonomy Find
Algonomy
Find is an eCommerce search personalization solution that delivers unique, contextual results based on a shopper’s intent behind the search query, and their real-time behaviors across recommendations, content, and more. It ensures quick product discovery for shoppers, dramatically improving conversions, engagement, and revenue per visit. Further, it allows for conditional boosting, burying, filtering, and search term linking to help meet your specific business goals. -
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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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