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Algonomy Customer Data PlatformAlgonomy

A real-time CDP that unifies customer data, builds profiles, and enables hyper-personalization across channels for retail businesses.

Product details

Algonomy's Real-Time Customer Data Platform (CDP) empowers consumer businesses to understand their customers deeply and deliver personalized experiences across all channels. It achieves this by unifying disparate customer data sources, including first, second, and third-party data, through deterministic and probabilistic matching to create a comprehensive, single customer view. The platform offers real-time data capture and batch uploads via an intuitive UI. It resolves identities, cleanses data through deduplication and enrichment, and constructs "Golden Customer Records" (GCRs). Advanced AI-ML models, tailored for retail, such as affinity, replenishment prediction, lookalike, RFME, Propensity to Buy, CLTV, and Churn models, are available out-of-the-box, with an open-box engine for custom model development. The Audience Manager feature automatically builds and optimizes audience segments for hyper-personalization, enabling real-time discovery and re-engagement based on unique customer journeys and preferences. Algonomy's CDP integrates seamlessly with existing MarTech stacks, offering over 560 pre-built connectors to automate segment sharing and drive consistent customer experiences. It balances AI-driven optimization with business objectives, allowing users to set weights and rules for AI decision-making. The platform supports real-time segment streaming for journey-based engagement and features a marketer-friendly UX to reduce IT dependency. With a focus on retail-specific analytical models perfected over a decade, Algonomy aims to deliver faster time to value and maximize customer lifetime value.

Features & Benefits

  • Data Unification & Identity Resolution: Removes data silos by unifying first, second, and third-party data using deterministic and probabilistic matching to build a single, comprehensive customer view.
  • AI-ML-Led Analytics & Personalization: Leverages out-of-the-box retail-specific AI models and an open-box engine for custom model development to anticipate customer needs and drive data-backed decisions.
  • MarTech Integration & Automation: Enhances existing MarTech stacks with over 560 pre-built connectors, automating segment sharing for seamless omnichannel customer experiences.
  • Marketer-Friendly UX & Governance: Provides an intuitive user experience for marketers, reducing IT dependency and improving productivity, while supporting data governance and consent management.