Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection
Md Zahurul Haque, Md. Hafizur Rahman, Yeahyea Sarker

TL;DR
Trackly is a scalable SaaS platform that combines user behavior analytics with real-time rule-based anomaly detection to improve digital security and user experience through comprehensive tracking and transparent threat identification.
Contribution
It uniquely unifies analytics and security in a single platform with real-time detection, configurable rules, and explainable risk scoring, addressing fragmentation in existing solutions.
Findings
Achieved 98.1% accuracy on synthetic datasets
97.7% precision in anomaly detection
2.25% false positive rate
Abstract
Understanding user behavior is essential for improving digital experiences, optimizing business conversions, and mitigating threats like account takeovers, fraud, and bot attacks. Most platforms separate product analytics and security, creating fragmented visibility and delayed threat detection. Trackly, a scalable SaaS platform, unifies comprehensive user behavior analytics with real time, rule based anomaly detection. It tracks sessions, IP based geo location, device browser fingerprints, and granular events such as page views, add to cart, and checkouts. Suspicious activities logins from new devices or locations, impossible travel (Haversine formula), rapid bot like actions, VPN proxy usage, or multiple accounts per IP are flagged via configurable rules with weighted risk scoring, enabling transparent, explainable decisions. A real time dashboard provides global session maps, DAU…
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Taxonomy
TopicsSoftware System Performance and Reliability · Network Security and Intrusion Detection · Advanced Malware Detection Techniques
