Behavioral analysis: Analytics and heat maps
Automatic collection of real-time navigation data to observe clicks, scrolls, and interaction paths.
What it is
Main objective
Measure real user behavior in digital products (clicks, conversions).
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.
When it fits
When the product is online for monitoring and optimization.
Use cases
Effort level
Low to MediumRecommended number of users
Hundreds to millionsWhat you gain and what you give up
Advantages
Disadvantages
How it is applied
Metrics
Practical example
Use Google Analytics to see abandonment rate at ecommerce checkout.