Category score trends
Follow Performance, Accessibility, Best Practices, and SEO without losing the individual result behind each point.
Performance history
7 / 30 / 90day views
180 daysof compact history
2 strategiesmobile and desktop
Every run, one record
Keep the score, the metrics, and the surrounding context together
Filter one project page by mobile or desktop and scan the same measurements across recent manual and scheduled runs.
Historyhttps://storefront.example
Example dataManual testRelease Marker
| Date | Status | Perf | SEO | A11y | Best | LCP | CLS | TBT |
|---|---|---|---|---|---|---|---|---|
| Success | 93 | 97 | 95 | 98 | 1980ms | 0.030 | 100ms | |
| Success | 88 | 97 | 95 | 98 | 2470ms | 0.040 | 160ms | |
| Success | 85 | 96 | 94 | 97 | 2840ms | 0.050 | 210ms | |
| Success | 82 | 96 | 94 | 97 | 3110ms | 0.060 | 250ms | |
| Success | 83 | 96 | 94 | 97 | 3020ms | 0.060 | 240ms | |
| Success | 77 | 96 | 93 | 97 | 3610ms | 0.080 | 330ms | |
| Success | 70 | 95 | 92 | 96 | 4320ms | 0.100 | 440ms | |
| Success | 66 | 95 | 92 | 96 | 4860ms | 0.120 | 520ms | |
Aug 4, 6:00 PMv2.4.0Checkout image delivery update | ||||||||
| Success | 87 | 96 | 93 | 97 | 2580ms | 0.050 | 170ms | |
| Success | 89 | 96 | 93 | 97 | 2360ms | 0.040 | 140ms | |
Lab metric history
Review LCP, CLS, FCP, and TBT alongside the category scores produced by the same Lighthouse run.
Separate device baselines
Switch between mobile and desktop history instead of treating two different test environments as one trend.
Release context
Add release markers to charts and history to record what shipped near a change, without claiming that correlation proves the cause.
From trend to evidence
Open the run behind the change
A trend shows where to look. Open a recent result to review the performance breakdown, audit details, and environment behind that point in the timeline.
History and detail have different retention windows.
Full private reports remain available for 30 days. Compact score, metric, and issue summaries power the performance history for 180 days.
Detail view ⢠/ ⢠Desktophttps://storefront.example
Example data93/100
Aug 17, 2026, 09:00 AM
Performance score
0-49 â critical50-89 â needs work90-100 â excellent
Performance Breakdown
A detailed view of key metrics that show how your site loads, responds, and stays stable for users.
FCP
0.9 s
LCP
2.0 s
TBT
100 ms
CLS
0.03
SI
2.4 s
Emulated form factorDesktop
Lighthouse version13.4.1
Localeen-US
Interpret the trend honestly
Lighthouse history is lab data, not real-user monitoring
NEKTIQA runs Lighthouse through Google PageSpeed Insights in a controlled test environment. Repeating that lab test is useful for comparisons, but it is not CrUX, RUM, uptime monitoring, or direct evidence of what every visitor experienced.
See how Lighthouse monitoring worksQuestions
Common questions about Lighthouse score history
Create the first reference point
Your next Lighthouse score is more useful when the first one is already saved
Run a free test now. When you are ready to build a performance history, choose a plan and keep the pages that matter on a repeatable testing rhythm.