Algonomy Find Integrations

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.

Real-time Customer Data Platform helps you unify, segment, and activate your audience in real-time to drive meaningful customer engagement. It centralizes online and offline customer data, builds unified customer views, and helps activate audiences to automation and orchestration systems. From drag-and-drop data onboarding, simple click-and-select segment creation to real-time audience activation, Algonomy’s Real-time CDP is purpose-built for marketers to self-serve.

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.

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.

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.

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.

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.

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.