Behavioral analysis: Analytics and heat maps
TL;DR
Automatic collection of real-time navigation data to observe clicks, scrolls, and interaction paths.
Detailed description
Web Analytics + Heat Maps is a quantitative methodology that combines automatic behavioral data with interaction visualizations to understand how users navigate and use websites or applications. This technique collects metrics such as pages visited, time spent, conversion rates, and navigation paths, complementing them with heat maps that show where users click, how far they scroll, and which areas capture their attention. Research demonstrates its effectiveness in identifying real usage patterns and optimizing digital experiences (Hotjar; Nielsen Norman Group). It is especially valuable for products with sufficient traffic where objective understanding of user behavior at scale is required.
Main objective
Measure real user behavior in digital products (clicks, conversions).
Use cases
When to use it
When the product is online for monitoring and optimization.
Effort level
Low to MediumRecommended number of users
Hundreds to millionsAdvantages
Disadvantages
When to use
Metrics
Practical example
Use Google Analytics to see abandonment rate at ecommerce checkout.