B2Metric

B2Metric Analytics Platform is a comprehensive digital analytics and customer data platform designed to help growth teams turn data into actionable insights across websites, apps, and channels. The platform emphasizes real-time visibility, AI/ML-powered analytics, and unified data to optimize customer journeys, personalize experiences, and improve marketing and product outcomes. It positions itself as an end-to-end solution for data collection, activation, and decision-making with a focus on enterprise-scale reliability and integrations.

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Key Capabilities

• Real-time insights across multiple channels (web, app, emails) to anticipate user behavior and uncover opportunities.
• AI/ML-driven customer journey analytics for faster, smarter decision-making.
• Unified Customer Data Platform (CDP) to collect, unify, and activate customer data from diverse touchpoints.
• Personalization and automation features to optimize campaigns, targeting, and experiences at scale.
• Campaign management and optimization with AI-driven insights, real-time analytics, and A/B testing.
• Visual funnels, retention metrics, and segmentation tools to analyze user paths and conversion drop-offs.
• RFM analysis and audience tracking for actionable customer segmentation.
• Integrated dashboarding with visualizations (Pie, Bar, Line, Table charts) and KPI tracking.
• Integrations and enterprise-ready capabilities to connect with existing tools and systems.
• Compliance-focused data handling with centralized data control and streamlined ETL processes.
• Access to case studies and best-practice content to guide marketing, product, and growth initiatives.

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How It Works

1. Collect and unify data from multiple touchpoints into a central platform.
2. Apply AI/ML models to reveal journey insights, churn risk, lifetime value, and other KPIs.
3. Visualize funnels, retention, and audience segments; run multi-channel campaigns with AI-driven optimization.
4. Activate insights across product and marketing channels to improve ROI and user engagement.

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Use Cases

• Customer journey analytics and predictive insights for behavior-driven decision-making.
• Personalization and automated marketing actions across web, mobile, and email.
• Multi-channel campaign optimization with AI-driven segmentation and real-time analytics.
• Churn prediction, CLTV optimization, and retention analytics.
• Unified data governance and centralized dashboard for enterprise teams.

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Safety and Legal Considerations

• Use data and insights to optimize customer experiences while respecting privacy and data governance policies.

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Core Features

• Real-time analytics across multiple channels
• AI/ML-based customer journey analytics
• Customer Data Platform (CDP) for data collection, unification, and activation
• AI-driven campaign optimization and automation
• Segmentation, RFM Analysis, and audience tracking
• Funnel, retention, and flow visualization
• Unified dashboards and cross-team collaboration
• Enterprise integrations and scalable architecture
• Centralized data control and streamlined ETL
• Templates, case studies, and best-practices content
• Security, reliability, and governance suitable for growing brands