Manago AI

Manago AI (formerly SALESmanago) is an e-commerce marketing automation platform that combines a Customer Data Platform (CDP), multichannel Marketing Automation, and algorithmic personalization. The platform consolidates transactional data, real-time website behavior, predictive scoring, and consent tracking into unified customer profiles, enabling digital commerce and retail organizations to execute automated lifecycle campaigns across digital messaging and on-site channels.

Key Capabilities

• Real-Time Customer Data Platform (CDP): Unifies structured and unstructured customer data from e-commerce stores, Point of Sale (POS) terminals, Customer Relationship Management (CRM) databases, and web analytics into single customer views. The platform tracks web browsing behavior, product interactions, and Urchin Tracking Module (UTM) campaign parameters, utilizing cookie-based identity stitching to connect anonymous pre-conversion browsing sessions to identified customer profiles upon form submission.
• Predictive Scoring & Behavioral Segmentation: Calculates predictive attributes including churn probability, next-purchase intent scores, and Customer Lifetime Value (LTV), alongside dynamic Recency, Frequency, Monetary (RFM) segmentation. Segments update in real time as customer behaviors, lifecycle stages, or score thresholds shift.
• Omnichannel Workflow Automation: Features a visual workflow builder for constructing event-triggered customer journeys across email, Short Message Service (SMS), WhatsApp, web push notifications, mobile app push notifications, and dynamic on-site pop-ups via WebFlow. Workflows support multi-branch conditional logic, inactivity delays, and native A/B/X testing to optimize path performance.
• Dynamic Product Recommendations: Embeds contextual product recommendations into email campaigns and web interfaces based on collaborative filtering, category affinity, inventory status, price-drop triggers, and abandoned browse or cart events.
• Model Context Protocol (MCP) Integration: Hosts a dedicated Model Context Protocol (MCP) server endpoint that authenticates via OAuth 2.0. This connector allows marketing teams to interact with their customer data from MCP-compatible artificial intelligence (AI) workspaces—such as Claude Desktop, ChatGPT, and developer environments—to run plain-language performance queries, build dynamic segments, draft campaign sequences, and schedule message dispatches without manual data exports.

Audience & Use Cases

• Audience: E-commerce marketing managers, CRM directors, retention marketing leads, and digital merchandising teams operating consumer-facing online retail brands.
• Use Case: Automated abandoned cart and browse recovery, post-purchase cross-selling, automated back-in-stock and price-drop notifications, RFM-driven win-back campaigns, and conversational analytics querying via external AI assistants.

Technical Specifications

• Deployment Model: Multi-tenant cloud-hosted Software as a Service (SaaS) with European Union (EU) data residency.
• API & Extensibility: RESTful Application Programming Interfaces (APIs), bidirectional data webhooks, support for Google BigQuery data warehouse exports, and an MCP server endpoint (mcp.manago.ai/mcp) supporting token-authenticated agentic tool-calling.
• E-Commerce Connectors: Prebuilt plug-ins and native integrations for digital storefront platforms including Shopify, Magento, PrestaShop, and WooCommerce.
• Privacy & Compliance: Compliant with the European Union General Data Protection Regulation (GDPR), featuring automated cross-channel consent synchronization, granular communication preference centers, and auditable data processing logs.
• Reported Vendor Metrics: According to vendor documentation, the platform supports over 2,000 retail brands across Europe, with standard storefront integrations typically achieving production deployment within six weeks.