Google Analytics Site Performance & Tech
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What is Google Analytics Site Performance & Tech?
Site performance & tech analysis in GA4 shows how speed, device, browser, and platform issues impact user experience. It helps you identify where users struggle (slow load times, crashes, mobile issues) and how that affects engagement and conversions.
Core Metrics / Dimensions:
- Avg. Page Load Time: Seconds it takes for pages to fully load.
- Core Web Vitals (via GA4/BigQuery/GA4+GSC): LCP, FID, CLS signals.
- Device/OS/Browser breakdown: Performance per device type.
- Error Events: Crashes, JS errors, 404 pages tracked via GTM.
- Conversion Rate by Tech: CR differences between mobile, desktop, browsers.
Key idea: Small technical issues can cause massive revenue leaks if ignored—especially on mobile.
Why it matters?
- Mobile-first reality: Slow load or poor mobile UX = high bounce and lost sales.
- Hidden conversion killers: Browser/OS bugs quietly cut revenue.
- Scalable growth: Performance fixes improve every channel’s ROI (traffic converts better).
KPIQ Perspective
- User view: “I get traffic, but my mobile conversions are terrible—could it be a technical issue?”
- Technical view: KPIQ benchmarks CR by device/browser, highlights anomalies (e.g., Safari CR 0.5% vs Chrome 2.0%), integrates load-time metrics, runs what-ifs (e.g., -2s load time = +X CR), and flags data gaps (missing performance events, untracked 404s).
Actionable Insights
- ✅ In GA4, go to Reports → Tech → Platform/Device to check CR and engagement by device/browser.
- ✅ Compare load times and engagement: high bounce on mobile may mean speed/UX issues.
- ✅ Set up error event tracking in GTM (JS errors, 404 pages) → see where users drop.
- ✅ Use GA4 + Search Console integration for Core Web Vitals reports.
- ✅ Prioritize fixes: mobile speed, checkout bugs, Safari/IE compatibility.
Practical Example
Scenario: You suspect mobile Safari users abandon checkout due to performance issues.
Step 1: Open Tech Report
In GA4, go to Reports → Tech → Platform/Device. Break down by Browser and filter for Mobile.
Step 2: Review Metrics
- Chrome Mobile: CR = 1.9%, Avg. Load = 2.8s
- Safari Mobile: CR = 0.7%, Avg. Load = 5.4s
Step 3: Interpret Results
Safari users convert 3× worse, likely due to speed/compatibility. Every 1s delay = significant CR loss.
Step 4: What-if
If Safari load time improves from 5.4s → 3.0s and CR rises from 0.7% → 1.3%, GA4 would show:
- +90 extra conversions (out of 15,000 Safari sessions)
- At €42 AOV = +€3,780 revenue
📖 Click to open the in-depth analysis
Foundations
Site performance analysis connects technical metrics with business outcomes. In GA4, Tech reports reveal device/browser data; load times and Core Web Vitals can be tracked via integrations and custom events.
Key Concepts
- Load time correlation: Each extra second usually reduces CR by 7–15%.
- Device split: Mobile-first design is mandatory for e-commerce.
- Error tracking: Missing JS error/404 events = blind spots.
- Core Web Vitals: Standardized speed/UX measures (LCP, FID, CLS).
Advanced Methods
- BigQuery export: Detailed performance event analysis.
- Heatmaps/session replays: Combine with GA4 to visualize friction.
- Predictive models: Estimate CR uplift from tech improvements.
Common Pitfalls
- Blaming marketing instead of fixing performance.
- Looking only at averages—problems often segment-specific.
- Ignoring error events → silent funnel leaks.
- Optimizing desktop first—while majority of traffic is mobile.
Further Reading
- Google Analytics Help — Tech Reports
- Google Search Console — Core Web Vitals
- Case studies on performance-driven conversion uplift