A clickstream is the chronological sequence of clicks (or taps) a user makes while navigating a website or app. It captures the full path, such as "Home > Product List > Product Detail > Cart > Purchase Complete."
Clickstream data typically includes the URLs visited, time spent on each page, elements clicked, referrer, device and browser information, and timestamps. Analyzing this data reveals how users navigate a site and where they drop off.
The click analytics of a URL shortening service provides the entry point of a clickstream. Combining the data captured when a short URL is clicked (timestamp, region, device, referrer) with Google Analytics data from the destination site constructs a complete clickstream: which channel brought the user, how they behaved on the site, and whether they converted.
Practical applications of clickstream analysis include funnel analysis (identifying drop-off rates at each stage), path analysis (discovering the routes most likely to lead to conversion), and anomaly detection (spotting bot or fraudulent click patterns).
Processing large-scale clickstream data requires big data technologies such as Apache Kafka (real-time streaming), Apache Spark (batch processing), and BigQuery (analytical queries). For smaller sites, the path exploration report in Google Analytics 4 provides sufficient analysis capability. You can find related books on Amazon.