After the website is built, many companies' next step is to blindly redesign or frequently adjust. But true optimization should be based on data, not guesswork.
Website data analysis is about understanding user behavior with data to guide optimization decisions. This is an entry-level guide to enterprise website data analysis.
Key indicators
Traffic indicators:- Page views (PV): Total number of page views - Unique visitors (UV): Number of unique visitors - New visitor ratio: Percentage of first-time visitors - Referral distribution: Channels through which users arrive at the site
Behavior indicator:- Bounce rate: The percentage of visitors who leave after viewing only one page - Average dwell time: The average time users spend on the website - Browsing depth: The average number of pages viewed per session
Conversion indicator:- Conversion rate: The proportion of visitors who complete the target action - Conversion path: The pages the user goes through before completing the conversion - Cost per lead: The cost to acquire a sales lead
Common Analysis Tools
Baidu Statistics:Free domestic tools, suitable for domestic websites. Functions include traffic analysis, source analysis, conversion tracking, heat maps, and more.
Google Analytics:The most widely used statistical tool globally. Offers more features, supports multi-language, event tracking, e-commerce tracking, etc.
Heatmap tool:Such as Hotjar, Microsoft Clarity, which record user clicks, scrolling, mouse movements, and other behaviors to understand how users use the website.
Data analysis of Anqi CMS
The AnQi CMS built-in access statistics function allows you to view: - Daily/weekly/monthly access trend - Hot page rankings - Visitor source distribution - Device type distribution - Keyword source No additional configuration is required, ready to use.
The three-step method of data analysis
Step one: Establish a baselineRecord the current key indicator values as a baseline for subsequent comparison.
Step two: Identify problemsAnalyze data to identify underperforming pages or stages. For example, landing pages with high bounce rates and paths with low conversion rates.
Step 3: Test OptimizationDesign optimization solutions for problems, A/B test different versions, compare data effects.
Summary
Data analysis is the foundation of website optimization. Anqi CMS built-in statistical tools combined with external analysis tools, can help enterprises establish a data-driven optimization system.