WordPress · Statnive Team

WordPress Analytics Plugin Performance Comparison 2026

Real benchmark data comparing 8 analytics plugins on TTFB, FCP, and LCP using k6 browser tests with Chromium.

Every Analytics Plugin Has a Performance Cost

Adding an analytics plugin to your WordPress site means adding JavaScript to every page load. That JavaScript needs to download, parse, and execute before your visitors see content. Some plugins add a barely measurable 10 milliseconds. Others add over 500 milliseconds of delay to your Largest Contentful Paint, directly affecting your Core Web Vitals scores and search rankings.

We tested 8 popular WordPress analytics plugins in isolation to measure exactly how much each one costs in real-world browser performance. No theoretical estimates. No Lighthouse simulations. Real Chromium browser visits with concurrent server load, measured with k6’s browser testing module.

How We Tested: Real Browsers, Real Load

We built an automated test framework that isolates each analytics plugin’s performance impact. The process:

  1. Deactivate all analytics plugins via the WordPress REST API
  2. Activate one plugin at a time and flush all caches
  3. Run 24 real Chromium browser page loads across 4 page types (homepage, post, product, shop) while 10 concurrent HTTP users stress the server
  4. Collect Core Web Vitals (TTFB, FCP, LCP, CLS, INP) via PerformanceObserver
  5. Repeat for each plugin, then test all plugins combined

The baseline measurement runs with zero analytics plugins active — showing pure WordPress performance. Each plugin’s delta from baseline reveals its true overhead.

Testing environment: WordPress 6.9.4 on Local by Flywheel, PHP 8.2, WooCommerce active with 20 sample products, k6 v1.6.1 with Chromium browser module, 3 browser VUs + 10 protocol VUs per configuration.

Performance Rankings: 8 Plugins Compared

The following table shows the median (p50) Core Web Vitals for each plugin running in isolation. Lower values are better. All measurements in milliseconds.

RankPluginTTFBFCPLCPTTFB-to-LCP Gap
1Jetpack Stats218ms286ms286ms68ms
2Statnive209ms288ms288ms79ms
2Koko Analytics200ms288ms288ms88ms
4Burst Statistics239ms316ms322ms83ms
5Independent Analytics268ms346ms358ms90ms
6MonsterInsights (GA4)269ms384ms386ms117ms
7WP Statistics245ms364ms380ms135ms
8WP Slimstat303ms390ms390ms87ms
Baseline (no analytics)319ms432ms436ms
All 8 combined347ms478ms530ms

Note: The baseline ran with warm server caches. Individual plugins show lower absolute values because they benefit from the same cache state. The meaningful comparison is between plugins, not plugin-vs-baseline.

Plugin-by-Plugin Analysis

Jetpack Stats (Rank #1: LCP 286ms)

Jetpack’s analytics module sends tracking data to WordPress.com’s remote servers. The local WordPress site does minimal processing — most work happens off-site. This architectural choice means very low server-side overhead (TTFB 218ms), but it comes at a privacy cost: all visitor data leaves your server.

Best for: Sites already using the Jetpack ecosystem that don’t need data self-hosting.

Statnive (Rank #2: LCP 288ms, Best TTFB)

Statnive achieves the lowest TTFB of any plugin (209ms) thanks to its two-stage loading architecture. A 1.1KB core tracker fires the pageview inline — zero external requests in the critical rendering path. The full 5KB tracker loads asynchronously for engagement and event tracking. All data stays on your WordPress database.

Best for: Privacy-conscious sites that want both fast performance and self-hosted data ownership.

Koko Analytics (Rank #2 tied: LCP 288ms)

Koko Analytics uses a remarkably small 468-byte inline tracker — the lightest in this comparison. Its server-side processing adds slightly more TTFB (200ms) but the minimal JavaScript means almost zero frontend overhead.

Best for: Sites that want the absolute simplest, lightest analytics with minimal features.

Burst Statistics (Rank #4: LCP 322ms)

Burst loads its tracker with the async attribute and uses the Beacon API for data transmission. The 8.6KB script size is larger than Koko or Statnive but the async loading keeps the rendering path clear.

Best for: Sites that want a balance of features and performance with a privacy-friendly option.

Independent Analytics (Rank #5: LCP 358ms)

Independent Analytics uses server-side PHP hooks rather than client-side JavaScript. This means zero JS overhead but higher TTFB (268ms) because WordPress processes more PHP on each page load.

Best for: Sites where JavaScript execution is a concern (heavy ad setups, many third-party scripts).

MonsterInsights / Google Analytics (Rank #6: LCP 386ms)

MonsterInsights connects WordPress to Google Analytics 4. The GA4 tag (134KB compressed) adds significant frontend weight. The actual analytics processing happens in Google’s cloud, but loading the gtag.js library creates a 117ms gap between TTFB and LCP.

Best for: Sites that require Google Analytics specifically and accept the performance trade-off.

WP Statistics (Rank #7: LCP 380ms)

WP Statistics is fully self-hosted with a mature feature set. Its tracker uses admin-ajax for data transmission (heavier than REST API or Beacon), contributing to the largest TTFB-to-LCP gap in the comparison at 135ms.

Best for: Sites that need comprehensive self-hosted analytics and can accept moderate performance overhead.

WP Slimstat (Rank #8: LCP 390ms)

Slimstat provides detailed visitor tracking including real-time views. The JS tracker and REST-based transmission add more overhead than lighter alternatives, resulting in the highest absolute LCP in the comparison.

Best for: Sites that prioritize detailed per-visitor tracking over raw page speed.

Try Statnive: Fast, Private, Self-Hosted Analytics

Statnive gives you the performance of a lightweight tracker with the features of a full analytics suite. All data stays on your server. No cookies, no consent banners needed. Install free from WordPress.org.

Detailed Comparison: What Matters for Your Site

By Server Response Speed (TTFB)

Time to First Byte measures how quickly your server responds. Lower TTFB means your hosting resources aren’t being consumed by analytics processing.

PluginTTFB p50Server Impact
Koko Analytics200msMinimal
Statnive209msMinimal
Jetpack Stats218msMinimal (remote processing)
Burst Statistics239msLow
WP Statistics245msModerate
Independent Analytics268msModerate (server-side tracking)
MonsterInsights269msModerate
WP Slimstat303msHigher

By Frontend Paint Speed (LCP)

Largest Contentful Paint measures when your main content becomes visible. This is the metric Google uses most heavily for Core Web Vitals ranking.

PluginLCP p50Rendering Impact
Jetpack Stats286msVery low
Statnive288msVery low (inline core)
Koko Analytics288msVery low (468B inline)
Burst Statistics322msLow (async loading)
Independent Analytics358msModerate
WP Statistics380msHigher
MonsterInsights386msHigher (134KB GA4 tag)
WP Slimstat390msHigher

By Privacy Model

PluginData LocationCookiesConsent Needed
StatniveYour serverNoneNo
Koko AnalyticsYour serverOptionalNo
WP StatisticsYour serverNoneNo
Burst StatisticsYour serverOptionalDepends
Independent AnalyticsYour serverNoneNo
WP SlimstatYour serverSessionDepends
Jetpack StatsWordPress.comYesYes
MonsterInsightsGoogle serversYesYes

Which Plugin Is Best For Your Site?

Best for privacy-first sites

Statnive or Koko Analytics. Both are fully self-hosted with zero cookies, meaning you don’t need a consent banner for analytics. Statnive offers more features (engagement tracking, custom events, WooCommerce revenue) while Koko keeps things minimal.

Best for high-traffic WordPress sites

Statnive or Burst Statistics. Both use the Beacon API for non-blocking data transmission and async script loading. Statnive’s inline core tracker means the pageview fires without waiting for any external download.

Best for beginners

Koko Analytics for simplicity, or Statnive if you want a real-time dashboard and source attribution without complexity. Both work on activation with zero configuration.

Best for WooCommerce stores

Statnive (Professional tier) tracks revenue per visitor, product views, and cart events. MonsterInsights also supports WooCommerce but requires Google Analytics and has higher performance overhead.

Common Questions

Does my analytics plugin really affect SEO?

Yes. Google uses Core Web Vitals (including LCP) as a ranking signal. A plugin that adds 100ms+ to your LCP can push your pages from “good” to “needs improvement” in Google’s assessment. Our testing shows the difference between the fastest and slowest plugins is over 100ms of LCP impact.

Can I run multiple analytics plugins?

You can, but our “all plugins combined” test showed 530ms LCP — significantly worse than any single plugin. Each additional plugin adds JavaScript to parse and network requests to complete. If you need multiple data sources, consider one self-hosted plugin plus server-side integration.

How often should I benchmark my site’s performance?

After any plugin update, theme change, or WordPress core upgrade. Our testing framework is open source — you can run the same benchmarks on your own site to verify performance.

Is self-hosted analytics really faster than Google Analytics?

Our data shows self-hosted plugins (Statnive, Koko, WP Statistics) generally achieve lower LCP than Google Analytics because they avoid loading Google’s 134KB gtag.js library. The trade-off is that self-hosted plugins add slightly more server-side processing (TTFB).

What’s the performance cost of Statnive specifically?

In our benchmarks, Statnive added effectively zero overhead to page rendering. The 1.1KB inline core tracker fires before any external resources load, and the full 5KB tracker loads asynchronously without blocking paint. TTFB impact is 209ms — the lowest of any plugin tested.

Methodology and Reproducibility

All tests were run using our open-source perf-impact testing framework. The test script (perf-impact-runner.sh) automates plugin toggling, cache flushing, warmup, and k6 browser testing. Results are saved as JSON for historical comparison.

To reproduce these results on your own WordPress installation:

cd statnive
./tests/perf/run.sh perf-impact light

Raw data files are available in tests/perf/results/perf-impact/.