Web analytics is the systematic collection, measurement, analysis and reporting of website and digital experience data. It helps marketers understand how people arrive at a site, what they do, where they encounter friction and whether their visits lead to meaningful outcomes.
What web analytics measures #
- Acquisition: where visitors come from, including organic search, paid campaigns, referrals, email and direct visits.
- Engagement: pages and screens viewed, engaged sessions, interactions, scrolls and time-related signals.
- Outcomes: leads, purchases, sign-ups, downloads and other defined conversions.
- Quality: data completeness, consistency, consent status and whether events represent real user actions.
How the process works #
- Define a business question and measurable objective.
- Choose metrics and specify exactly how each will be calculated.
- Implement tags and events, respecting consent and privacy requirements.
- Validate collection using test visits and debugging tools.
- Segment the data by channel, device, landing page, audience or campaign.
- Interpret trends, investigate causes and test improvements.
Key concepts #
A user represents a measured visitor identity, while a session groups interactions within a visit according to the analytics platform’s rules. An event records an action or occurrence. A conversion is a valuable event designated as an outcome. Definitions vary by platform and configuration, so comparisons require consistent settings.
Example #
A campaign brings 2,000 sessions to a product page and generates 60 completed enquiries. If those enquiries are valid and deduplicated, the session-based conversion rate is 60 ÷ 2,000 × 100 = 3%. The figure is useful only when the denominator and conversion definition are documented.
Common mistakes #
- Tracking page views but not business outcomes.
- Comparing metrics with different definitions or date ranges.
- Ignoring internal traffic, spam, consent restrictions or broken tags.
- Assuming attribution proves causation.
Related learning #
Continue with Google Analytics 4 Fundamentals, Traffic Sources and Attribution and Marketing Metrics vs KPIs.
