# B2METRIC > The AI Agent Behind Customer Intelligence ## At a glance | Field | Value | | --- | --- | | Category | Data & Analytics | | Type | Solutions Provider | | Region | EMEA | | Headquarters | Istanbul (Pendik), Turkey | | Founded | 2018 | | Stage | Startup | | Employees | 11-50 | | Funding | Seed | ## Overview B2Metric is an AI-powered customer intelligence and predictive analytics platform that helps enterprise marketing, CRM, and data science teams analyze customer journeys, predict behavior, and act on insights in real time. Founded in 2018 by Murat Hacioglu (CEO) and Tuna Sonmez (CTO) and headquartered in Istanbul, Turkey, the company operates globally with a presence in the United States. The platform uses AutoML to train predictive models on customer data across insurance, banking, telecom, retail, and automotive industries, reducing data science project cycles from 15 steps to three. B2Metric serves 150+ enterprise customers including global carriers such as Allianz, MetLife, and Zurich, and has raised USD 1.25M in Seed funding led by Simya VC (January 2024). In the insurance vertical, B2Metric enables carriers to predict policyholder churn, generate cross-sell propensity scores, optimize retention campaigns, detect fraud, and surface next-best-offer recommendations -- all from existing policyholder and behavioral data. ## Products & services ### B2Metric IQ Analytics AI/ML-powered customer journey analytics suite. Consolidates behavioral, transactional, demographic, and campaign data into a single platform for end-to-end customer intelligence. **Key features:** - Churn prediction with explainable AI - Customer lifetime value \(CLTV\) modeling - Next Best Offer \(NBO\) recommendations - RFM analysis and audience segmentation - Session replay and funnel analysis - Retention analysis and scoring *Target users:* Data science, marketing, and CRM teams at carriers and financial institutions ### AutoML Studio No-code machine learning model builder. Enables non-technical teams to train, validate, and deploy predictive models on their own customer data without engineering support. **Key features:** - Automated feature engineering and model selection - Drag\-and\-drop workflow \(15\-step process reduced to 3\) - Explainable AI outputs for compliance and trust - Self\-service model deployment *Target users:* Business analysts and marketing teams at enterprise organizations ### Campaign Revenue Booster Automated campaign orchestration layer integrated with CRM and marketing automation platforms. Uses predictive scores to trigger personalized outreach at the right time. **Key features:** - Automated push, SMS, and email campaign flows - Google Ads integration and performance optimization - Audience targeting based on churn and propensity scores - Real\-time anomaly detection and fraud flagging *Target users:* CRM and performance marketing teams ## Category & focus - Subcategories: Predictive Analytics, Customer Data Platform, AutoML, Churn Prediction - Insurance verticals: Life & Annuity, P&C Personal, P&C Commercial, Health - Target customers: Carriers ## Notable customers - Allianz \(insurance \-\- churn prediction, NBO\) - MetLife \(insurance\) - Zurich \(insurance\) - Turk Telekom \(4x campaign conversion improvement\) - Aktif Bank \(36% increase in user retention\) - BKT Bank / Banka Kombetare Tregtare \(27% churn reduction, 88% model accuracy\) - AVIS \(18% revenue increase, 50% operational efficiency gain\) - GAIN Media \(60% campaign efficiency improvement\) - Zipcar - Stellantis ## Links - Website: - Directory profile: - Blog: - About: - Customers: - Use cases: - G2 profile: - Capterra profile: - Insurance solutions: - Gartner peer insights: --- *Last updated: 2026\-05\-11*