Google Analytics
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Google Analytics is a powerfulweb analytics solution that enables you to measure and explore user behavior on a site or application in detail. By inserting tracking code on site pages, the tool collects valuable data on traffic, acquisition sources, interactions and conversions, offering a comprehensive view of digital performance.
Key features :
- Analysis of overall traffic and by source (SEO, SEA, social, direct, referral...),
- Visitor behavior tracking: page views, session duration, bounce rate, navigation depth,
- Measurement of conversion objectives: transactions, forms, strategic clicks, personalized events,
- Advanced segmentation: devices, geographies, visitor types (new vs. repeat),
- Exploration of conversion tunnels and customized funnels (in GA4),
- Create customized reports and dashboards tailored to your business or marketing objectives.
CRO contributions :
Google Analytics is a central pillar of any Conversion Rate Optimization approach, as it enables :
- identify friction points (pages with high exit rates, abandoned forms, etc.),
- identify high-potential segments (mobile users, regular visitors, etc.),
- prioritize A/B tests based on factual data,
- measure the impact of optimizations on key KPIs (CVR, RPV, bounce rate, etc.).
Limits and complementarity :
Like any quantitative tool, Google Analytics shows the "what": what users are doing, where they're clicking, where they're leaving...
But it doesn't on its own understand the "why": why a user is abandoning a shopping cart, why a page isn't converting, why a CTA is being ignored.
This is why it must be complemented by qualitative approaches, such as :
- user testing (situational behavior),
- session analytics (Hotjar, Clarity, Contentsquare),
- in-page surveys (VoC),
- joint use with BigQuery to cross-reference product, CRM or A/B test data.
This data triangulation approach (quantitative + qualitative + experimental) is essential for building solid optimization hypotheses, based on a complete understanding of user behavior.