Data analytics is the practice of examining raw data to uncover patterns, trends, and insights that lead to better decisions. For a website owner, that mostly means studying how visitors actually behave — what they click, how long they stay, and where they drop off — and using that to steadily improve the site.
The Main Types of Analytics
- Descriptive analytics — what already happened (page views, bounce rate, traffic sources)
- Diagnostic analytics — why it happened (why a page's conversion rate suddenly dropped)
- Predictive analytics — what's likely to happen next, based on existing patterns
- Prescriptive analytics — what to actually do about it
Common Tools
- Google Analytics — the standard, free option for tracking site traffic and behaviour
- Google Search Console — focused specifically on search performance and indexing
- Hotjar — heatmaps and session recordings showing exactly how visitors interact with a page
- WooCommerce Analytics — built-in sales and store performance data for e-commerce sites
Turning Data Into Action
Data on its own doesn't fix anything — the real value comes from spotting a pattern (a high-traffic page with a poor conversion rate, say) and using it to guide a specific change, then measuring whether that change actually moved the number in the right direction.
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