B2Metric

B2Metric, founded in 2017 by Murat Hacıoğlu and Tuna Sönmez, is an artificial intelligence-driven data analytics company headquartered in Istanbul, Turkey. The firm specializes in helping businesses understand and predict user behavior to enhance customer retention and growth. Co-founder and CEO, Murat Hacıoğlu, has over a decade of experience in AI and machine learning, having graduated from Istanbul Technical University with a degree in Computer Engineering and later earning an MBA. His extensive background in software engineering and development at various tech companies preceded the establishment of B2Metric. Tuna Sönmez serves as the Co-founder and CTO.

The company operates on a subscription-based business model, offering several pricing tiers, including a free plan for startups and custom enterprise solutions. B2Metric provides a cloud-based, automated machine learning (Auto-ML) platform that serves a diverse client base across industries such as insurance, finance, retail, telecom, and automotive. Its client roster includes companies like GAIN Media and Papara. By January 2024, the company had secured $1.25 million in a seed funding round led by Simya VC, with participation from several other institutional investors, aimed at global expansion and tripling its annual recurring revenue.

B2Metric's core offering is a customer intelligence platform that provides self-service customer journey analytics. The platform, known as B2Metric ML Studio, is a low-code/no-code augmented analytics solution that automates the entire data science pipeline—from data preparation and wrangling to feature engineering, algorithm selection, and model training. It delivers predictive insights and actionable recommendations through clear dashboards, enabling marketing and analytics teams to forecast user actions, implement targeted campaigns, and optimize performance. Key features include behavioral segmentation, churn prediction, RFM analysis (Recency, Frequency, Monetary), and personalized campaign management, which have reportedly helped clients improve campaign efficiency by up to 60% and increase revenue contribution from CRM activities by over 30%.

Keywords: customer journey analytics, automated machine learning, predictive analytics, behavioral segmentation, churn prediction, customer retention, data-driven marketing, AI analytics, customer intelligence platform, no-code data science, marketing optimization, user behavior analysis, RFM analysis, campaign management, lead scoring, financial analytics, retail analytics, telecom analytics, insurance analytics, data wrangling