WordPress Analytics Plugin Performance: A Stress Test Comparison
We stress-tested 8 WordPress analytics plugins under concurrent load without page caching. Statnive had the lowest LCP overhead. Here is the methodology, the numbers, and the honest limitations.
Every Analytics Plugin Has a Performance Cost
Adding an analytics plugin to your WordPress site means adding work to every page load. Some plugins add JavaScript that downloads, parses, and executes in the browser. Others add PHP that runs on your server. Under light load with page caching, the differences between most plugins look small. Under a synthetic stress test — concurrent users, no caching, every request hitting PHP — architectural differences become visible.
We ran that stress test against 8 popular WordPress analytics plugins. The results below show directional differences in how each plugin’s architecture handles concurrent load. They are not production guarantees — we’ll walk through exactly what they do and don’t mean, including a candid methodology limitations section at the end. If you only remember one thing: in our single-run stress test, Statnive had the lowest LCP overhead, but a properly-cached production WordPress site running any of these plugins will perform dramatically better than these numbers suggest.
How We Tested: Real Browsers Under Synthetic Load
We built an automated test framework that isolates each analytics plugin. The process:
- Deactivate all analytics plugins via the WordPress REST API
- Prime OPcache and MySQL with identical warmup before every configuration
- Activate one plugin at a time
- Run ~150 real Chromium browser page loads across 4 page types (homepage, post, product, shop) while 50 concurrent HTTP users stress the server
- Collect Core Web Vitals (TTFB, FCP, LCP, CLS, INP) via PerformanceObserver
- Repeat for each plugin, then test all 8 plugins combined
The baseline measurement runs with zero analytics plugins active. Each plugin’s overhead is measured as the delta from this baseline.
Testing environment: WordPress 6.9.4 on Local by Flywheel (macOS), PHP 8.2, WooCommerce with 20 sample products, k6 v1.6.1 with Chromium browser module, 10 browser VUs + 50 protocol VUs per configuration. No page caching plugin was installed — every request hit the full WordPress PHP path. This is not how production WordPress sites are typically run. Most production sites use W3TC, WP Rocket, or a CDN that bypasses PHP entirely for cached pages.
Stress Test Results: 8 Plugins Under Concurrent Load
The following table shows each plugin’s overhead added to baseline in our single-run stress test. All values are deltas in milliseconds — how much each plugin added to Time to First Byte, First Contentful Paint, and Largest Contentful Paint vs a no-analytics baseline. The Impact column is a composite score (0 = no impact, 100 = maximum). Lower is better.
| Rank | Plugin | LCP Δ | TTFB Δ | FCP Δ | Impact |
|---|---|---|---|---|---|
| 1 | Statnive | +260ms | +290ms | +256ms | 6.7 |
| 2 | Independent Analytics | +566ms | +568ms | +574ms | 14.2 |
| 3 | Jetpack Stats | +776ms | +785ms | +784ms | 19.5 |
| 4 | MonsterInsights (GA4) | +964ms | +963ms | +964ms | 24.1 |
| 5 | WP Slimstat | +1030ms | +1005ms | +1010ms | 25.4 |
| 6 | WP Statistics | +1424ms | +1446ms | +1432ms | 35.9 |
| 7 | Koko Analytics | +2278ms | +2229ms | +2238ms | 56.3 |
| 8 | Burst Statistics | +3592ms | +3572ms | +3576ms | 89.6 |
| — | All 8 combined | +4002ms | +3924ms | +4010ms | 99.5 |
| — | Baseline (no analytics, under load) | 3038ms | 2927ms | 3030ms | — |
In our stress test, Statnive had the lowest LCP overhead. Take the specific multipliers with caution — a single run on a single machine without caching can be affected by order effects, outlier requests, and plugin-specific quirks like WP-Cron batch processing. The Koko Analytics and Burst Statistics numbers, in particular, are large enough that we suspect they reflect specific server-side write serialization issues under our synthetic load rather than steady-state overhead. Investigate their behavior on your own site before drawing conclusions.
Plugin-by-Plugin Analysis
Statnive (Rank #1 in our test: +260ms LCP)
Statnive’s two-stage loading architecture aims to keep the critical rendering path clear. A ~0.9 KB gzipped inline core tracker fires the pageview via navigator.sendBeacon() before any external resources load. The full ~5.5 KB raw / ~2.4 KB gzipped tracker loads asynchronously with the WordPress 6.3+ strategy: 'async' parameter and handles engagement tracking, events, and consent management without blocking rendering. Server-side processing is a single lightweight REST endpoint write per visitor.
Best for: Any WordPress site that cares about both performance and privacy. Self-hosted data, zero cookies, no consent banners needed.
Independent Analytics (Rank #2 in our test: +566ms LCP)
Independent Analytics uses server-side PHP hooks rather than client-side JavaScript. This approach eliminates JS parse time entirely, which helps on mobile where parse costs are 2-5x higher than desktop. The trade-off is more PHP work per request, which is why it ranked behind Statnive in our synthetic load test.
Best for: Sites where JavaScript execution is a concern (heavy ad setups, many third-party scripts).
Jetpack Stats (Rank #3 in our test: +776ms LCP)
Jetpack sends tracking data to WordPress.com’s remote servers. That architectural choice moves analytics processing off your server, but the tracker still adds notable local overhead — the Jetpack module loads a significant amount of JavaScript alongside the stats code.
Best for: Sites already using the Jetpack ecosystem that accept sending visitor data to WordPress.com.
MonsterInsights / Google Analytics (Rank #4: +964ms LCP)
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 gtag.js alone is a larger burden than most self-hosted trackers.
Best for: Sites that require Google Analytics specifically and accept the performance trade-off.
WP Slimstat (Rank #5: +1030ms LCP)
Slimstat provides detailed visitor tracking including real-time views. The JS tracker combined with REST-based transmission and extensive per-request PHP processing adds about 1 second of LCP overhead under load.
Best for: Sites that prioritize detailed per-visitor tracking over raw page speed.
WP Statistics (Rank #6: +1424ms LCP)
WP Statistics is fully self-hosted with a mature feature set. Its tracker uses admin-ajax for data transmission, which is heavier than REST endpoints or Beacon API calls. Under concurrent load, admin-ajax becomes a bottleneck because every hit goes through the full WordPress admin bootstrap.
Best for: Sites that need comprehensive self-hosted analytics and can accept significant performance overhead.
Koko Analytics (Rank #7 in our test: +2278ms LCP)
Koko Analytics has a remarkably small 468-byte inline tracker — architecturally one of the lightest self-hosted options. But in our stress test, it ranked #7 with a very large LCP delta. We suspect this reflects server-side write contention under our specific synthetic load rather than steady-state overhead: Koko writes to the database on every pageview, and 50 concurrent writers without any caching layer creates pathological contention that a real production site with a page cache would never experience. This number is plausibly a test artifact — we recommend you evaluate Koko on your own site before drawing conclusions.
Best for: Low-traffic sites and anyone who values architectural minimalism.
Burst Statistics (Rank #8 in our test: +3592ms LCP)
Burst loads its tracker with the async attribute and uses the Beacon API for data transmission — both good choices. The very large LCP delta in our stress test likely reflects Beacon API endpoint write serialization under concurrent load, or possibly WP-Cron batch processing kicking in during the test window. As with Koko, we suspect this number is inflated by our specific test conditions rather than being representative of real-world overhead. Do your own testing.
Best for: Sites that want a privacy-first analytics option with a mature feature set.
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 Overhead)
Time to First Byte measures how quickly your server responds. Lower delta means your hosting resources aren’t being consumed by analytics processing.
| Plugin | TTFB Δ | Server Impact |
|---|---|---|
| Statnive | +290ms | Minimal |
| Independent Analytics | +568ms | Low (server-side tracking) |
| Jetpack Stats | +785ms | Moderate (local JS + remote processing) |
| MonsterInsights | +963ms | Moderate (loads gtag.js) |
| WP Slimstat | +1005ms | Higher |
| WP Statistics | +1446ms | Higher (admin-ajax) |
| Koko Analytics | +2229ms | Higher under load (per-hit DB writes) |
| Burst Statistics | +3572ms | Worst under load (write backpressure) |
By Frontend Paint Speed (LCP Overhead)
Largest Contentful Paint measures when your main content becomes visible. This is the metric Google uses most heavily for Core Web Vitals ranking.
| Plugin | LCP Δ | Rendering Impact |
|---|---|---|
| Statnive | +260ms | Very low (inline core + async full) |
| Independent Analytics | +566ms | Low (no client-side JS) |
| Jetpack Stats | +776ms | Moderate |
| MonsterInsights | +964ms | Higher (134KB gtag.js) |
| WP Slimstat | +1030ms | Higher |
| WP Statistics | +1424ms | Higher (admin-ajax blocking) |
| Koko Analytics | +2278ms | High under load |
| Burst Statistics | +3592ms | Worst under load |
By Privacy Model
| Plugin | Data Location | Cookies | Consent Needed |
|---|---|---|---|
| Statnive | Your server | None | No |
| Koko Analytics | Your server | Optional | No |
| WP Statistics | Your server | None | No |
| Burst Statistics | Your server | Optional | Depends |
| Independent Analytics | Your server | None | No |
| WP Slimstat | Your server | Session | Depends |
| Jetpack Stats | WordPress.com | Yes | Yes |
| MonsterInsights | Google servers | Yes | Yes |
Which Plugin Is Best For Your Site?
Best for privacy-first sites
Statnive. Fully self-hosted, zero cookies, no consent banner needed, and the fastest plugin in our benchmark by a wide margin. It offers more features than minimal trackers (engagement tracking, custom events, WooCommerce revenue) while staying architecturally lightweight.
Best for high-traffic WordPress sites
Statnive. The 260ms LCP overhead under 50 concurrent users was the lowest we measured — 2.2x less than the next best plugin. Its inline core tracker fires the pageview before any server-side work happens, and the REST endpoint is designed for concurrent write scale.
Best for beginners
Statnive. It works on activation with zero configuration, includes a real-time dashboard and source attribution, and will not slow your site down.
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 ~3.7x more performance overhead.
Methodology Limitations (Please Read)
A benchmark is only as trustworthy as its methodology. Here is an honest list of what this test does not control for:
Single run, single machine. We ran the heavy tier test once, on a MacBook via Local by Flywheel. Proper benchmarks run 3-5 times with randomized order and report median plus interquartile range. A second run could shift positions.
No page caching. Every request hit the full WordPress PHP path. Most production WordPress sites use W3TC, WP Rocket, or a CDN that bypasses PHP entirely for cached pages. With caching enabled, the gap between most plugins shrinks dramatically because the analytics write happens only on cache misses or via async JavaScript.
No object caching. No Redis, no Memcached. A production site with object caching has very different database contention characteristics.
Synthetic load pattern. 50 concurrent HTTP VUs is crude. Real traffic has arrival spikes, session variance, and mostly cached pages. Our load is closer to a DDoS than a Monday morning.
Order effects not controlled. Plugins were tested in a fixed order. Server state (MySQL connection pool, PHP memory, OPcache) drifts over a ~50-minute run, which can penalize later configurations.
Sample counts vary. Fast plugins got ~156 samples per config; slower plugins got as few as 117 samples because iterations timed out. Fewer samples = more variance = less trustworthy medians.
Outlier suspects. The Koko Analytics (+2278ms) and Burst Statistics (+3592ms) results are very large. We have not independently verified them are not caused by WP-Cron batch processing, specific plugin bugs under concurrent load, or stuck database writes. Treat them as “something bad happened to this plugin in our test” rather than “this is what you will experience on your site”.
Self-test bias. We built the framework and we built Statnive. Even with good intentions, bias can creep into page selection, metric choice, and test structure. Independent verification would be more trustworthy than anything we publish. The framework is open source — please run it yourself.
What the test does show
Despite the limitations, the test does usefully reveal architectural patterns:
- Plugins that put JavaScript or server work in the critical rendering path add measurable LCP overhead under any load
- Plugins with per-request database writes degrade sharply when those writes can’t be cached
- Inline core + async tracker architectures (Statnive, Koko’s minimal inline, Burst’s async loading) keep the critical path clear
- Remote-processing plugins (Jetpack, MonsterInsights) still add local JavaScript weight even though the processing is off-site
These patterns are consistent with published research from Google, WordPress Core, and web.dev. The specific numbers from our test should be viewed as one data point, not a definitive ranking.
Common Questions
Does my analytics plugin really affect SEO?
Yes, in principle. Google uses Core Web Vitals (including LCP) as a ranking signal. A plugin that adds meaningful JavaScript parse time or blocks rendering can push your pages from “good” to “needs improvement”. In practice, if you have a page cache set up, most of this impact disappears because cached pages never run the plugin’s PHP code.
Can I run multiple analytics plugins?
Technically yes, but it adds up. Each additional plugin adds JavaScript to parse and server-side work per request. Our “all plugins combined” test showed very high overhead, as expected. If you need multiple data sources, consolidate to one well-designed self-hosted plugin and integrate other tools server-side where possible.
How often should I benchmark my site’s performance?
After any plugin update, theme change, or WordPress core upgrade. Use Google PageSpeed Insights for real-world data, Chrome DevTools for per-script profiling, and a synthetic benchmark like ours for comparative testing.
Is self-hosted analytics really faster than Google Analytics?
In our synthetic test, yes. The 134KB gtag.js library is a significant parse cost regardless of caching. Self-hosted trackers can be much smaller (Statnive is ~5.5 KB raw / ~2.4 KB gzipped, Koko is under 1KB). On a real production site with caching, the difference still exists but is smaller in absolute terms.
What’s the performance cost of Statnive specifically?
In our stress test, Statnive had the lowest LCP overhead at +260ms vs baseline. On a real production site with a page cache installed, most of that overhead disappears because cached pages never execute Statnive’s PHP code at all — you’re left with just the ~2.4 KB gzipped client-side JavaScript, loaded asynchronously.
Should I trust these specific numbers?
As directional indicators, yes. As exact predictions of your site’s performance, no. The numbers are from one synthetic run without caching. Your production site with caching, on your specific hosting, will produce different absolute numbers. The architectural patterns (inline core vs blocking JS, async vs synchronous, same-origin vs remote) are what generalize — the specific milliseconds don’t.
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 priming, 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 heavyRaw data files are available in tests/perf/results/perf-impact/.
For deeper analysis of individual competitors, see our comparison pages: Statnive vs Google Analytics, Statnive vs MonsterInsights, Statnive vs Jetpack Stats, Statnive vs WP Statistics, and Statnive vs Plausible. For the full ranking that combines performance with privacy, free-tier depth, and feature breadth, see our ranked WP analytics plugins roundup. Read the engineering story behind our optimization or explore all Statnive features.