1
At a glance the headline numbers for Consent platforms impact
Consent management platforms and their CWV impact.
16
Providers ranked
After min-sites filter
53,349
Sites in sample
Combined across all items
93ms
Best INP (p75)
Termly
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
2
The ranking sorted by INP at p75, fastest first
| # | Provider | INP p75 | Passing | Sites | |
|---|---|---|---|---|---|
| 1 | Termly | 93ms | 96.6% | 339 | |
| 2 | CookieYes | 103ms | 98.5% | 4,982 | |
| 3 | Complianz | 104ms | 98.7% | 8,942 | |
| 4 | GDPR Cookie Compliance | 106ms | 98.3% | 1,117 | |
| 5 | Iubenda | 109ms | 94.5% | 848 | |
| 6 | Civic Cookie Control | 110ms | 96.0% | 8,748 | |
| 7 | Cookiebot | 116ms | 94.3% | 8,148 | |
| 8 | Borlabs Cookie | 127ms | 97.0% | 5,162 | |
| 9 | CookieFirst | 130ms | 96.6% | 742 | |
| 10 | Cookie Script | 138ms | 92.6% | 1,305 | |
| 11 | Didomi | 146ms | 86.6% | 1,148 | |
| 12 | Quantcast Choice | 147ms | 90.4% | 9,653 | |
| 13 | TrustArc | 148ms | 86.8% | 82 | |
| 14 | OneTrust | 155ms | 87.6% | 1,878 | |
| 15 | Cookie Information | 172ms | 87.2% | 160 | |
| 16 | Osano | 173ms | 84.0% | 95 |
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
3
Passing INP per provider which group passes the INP most often
ProviderSitesPassing INPp75
Complianz 4.7%
8,942
104ms
CookieYes 2.6%
4,982
103ms
GDPR Cookie Compliance 0.6%
1,117
106ms
Borlabs Cookie 2.7%
5,162
127ms
Termly 0.2%
339
93ms
CookieFirst 0.4%
742
130ms
Civic Cookie Control 4.6%
8,748
110ms
Iubenda 0.4%
848
109ms
Cookiebot 4.3%
8,148
116ms
Cookie Script 0.7%
1,305
138ms
Quantcast Choice 5.1%
9,653
147ms
OneTrust 1%
1,878
155ms
Cookie Information 0.1%
160
172ms
TrustArc 0%
82
148ms
Didomi 0.6%
1,148
146ms
Osano 0%
95
173ms
Good
Needs Improvement
Poor
Sorted best-passing first · median colored by its own rating · pass = good INP (200ms at p75) · one value per site
99% of Complianz sites pass INP. Didomi trails 12 points behind. computed
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
4
All five vitals at once the whole category without toggling - cell is the pass rate, small number the p75
LCP
INP
CLS
FCP
TTFB
CookieYes 2.6%
702.7s
99103ms
880.04
602.3s
351.8s
Iubenda 0.4%
802.2s
94109ms
880.04
731.9s
551.3s
Borlabs Cookie 2.7%
702.7s
97127ms
900.03
602.3s
331.8s
Termly 0.2%
842.1s
9793ms
880.05
781.7s
70928ms
Cookie Information 0.1%
822.2s
87172ms
840.07
841.5s
67973ms
Civic Cookie Control 4.6%
852.0s
96110ms
870.04
811.6s
641.0s
Complianz 4.7%
662.8s
99104ms
870.04
542.4s
272.0s
Quantcast Choice 5.1%
782.4s
90147ms
810.08
731.9s
531.3s
Cookiebot 4.3%
822.2s
94116ms
860.05
771.7s
571.2s
Didomi 0.6%
822.2s
87146ms
750.11
831.6s
68922ms
Cookie Script 0.7%
842.2s
93138ms
860.05
791.7s
551.2s
CookieFirst 0.4%
832.2s
97130ms
870.05
781.7s
551.2s
OneTrust 1%
762.4s
88155ms
770.10
751.8s
621.0s
GDPR Cookie Compliance 0.6%
672.9s
98106ms
890.04
592.4s
321.8s
Osano 0%
732.5s
84173ms
730.12
652.2s
631.1s
TrustArc 0%
772.4s
87148ms
680.15
781.7s
63951ms
60%95%+ passing
Cell: pass rate, small number = p75 · faded rows: under 100 sites
One row per provider, one column per vital - the cell is the share of sites passing, the small number the p75. No toggling needed to see where the category actually differs.
CookieYes leads on INP: 99% of its sites pass. Didomi trails at 87%. computed
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
Related signals
Push notifications (5) →
CMS (17) →
Analytics (20) →
Search (6) →
Chrome field data from 189,915 sites, representing millions of real page loads · How we measured
Chrome field data from 189,915 sites, representing millions of real page loads. How we measured.
Live queries (3) — admin only
Query #1:
30.4 ms
SELECT 1 AS ok FROM site_providers LIMIT 0;
Query #2:
627.7 ms
SELECT CAST(p.key AS VARCHAR) AS e, COUNT(*) AS sites,
COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL) AS all_lcp_n,
quantile_disc(s.crux."all".lcp, 0.5) AS all_lcp_median,
quantile_disc(s.crux."all".lcp, 0.75) AS all_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."all".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_good,
COUNT(*) FILTER (WHERE s.crux."all".lcp > 2500 AND s.crux."all".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."all".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL) AS all_inp_n,
quantile_disc(s.crux."all".inp, 0.5) AS all_inp_median,
quantile_disc(s.crux."all".inp, 0.75) AS all_inp_p75,
COUNT(*) FILTER (WHERE s.crux."all".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_good,
COUNT(*) FILTER (WHERE s.crux."all".inp > 200 AND s.crux."all".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_ni,
COUNT(*) FILTER (WHERE s.crux."all".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_poor,
COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL) AS all_cls_n,
quantile_disc(s.crux."all".cls, 0.5) AS all_cls_median,
quantile_disc(s.crux."all".cls, 0.75) AS all_cls_p75,
COUNT(*) FILTER (WHERE s.crux."all".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_good,
COUNT(*) FILTER (WHERE s.crux."all".cls > 0.1 AND s.crux."all".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_ni,
COUNT(*) FILTER (WHERE s.crux."all".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_poor,
COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL) AS all_fcp_n,
quantile_disc(s.crux."all".fcp, 0.5) AS all_fcp_median,
quantile_disc(s.crux."all".fcp, 0.75) AS all_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."all".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_good,
COUNT(*) FILTER (WHERE s.crux."all".fcp > 1800 AND s.crux."all".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."all".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL) AS all_ttfb_n,
quantile_disc(s.crux."all".ttfb, 0.5) AS all_ttfb_median,
quantile_disc(s.crux."all".ttfb, 0.75) AS all_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."all".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."all".ttfb > 800 AND s.crux."all".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."all".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_poor,
COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL) AS phone_lcp_n,
quantile_disc(s.crux."phone".lcp, 0.5) AS phone_lcp_median,
quantile_disc(s.crux."phone".lcp, 0.75) AS phone_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_good,
COUNT(*) FILTER (WHERE s.crux."phone".lcp > 2500 AND s.crux."phone".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL) AS phone_inp_n,
quantile_disc(s.crux."phone".inp, 0.5) AS phone_inp_median,
quantile_disc(s.crux."phone".inp, 0.75) AS phone_inp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_good,
COUNT(*) FILTER (WHERE s.crux."phone".inp > 200 AND s.crux."phone".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL) AS phone_cls_n,
quantile_disc(s.crux."phone".cls, 0.5) AS phone_cls_median,
quantile_disc(s.crux."phone".cls, 0.75) AS phone_cls_p75,
COUNT(*) FILTER (WHERE s.crux."phone".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_good,
COUNT(*) FILTER (WHERE s.crux."phone".cls > 0.1 AND s.crux."phone".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_ni,
COUNT(*) FILTER (WHERE s.crux."phone".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_poor,
COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL) AS phone_fcp_n,
quantile_disc(s.crux."phone".fcp, 0.5) AS phone_fcp_median,
quantile_disc(s.crux."phone".fcp, 0.75) AS phone_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_good,
COUNT(*) FILTER (WHERE s.crux."phone".fcp > 1800 AND s.crux."phone".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL) AS phone_ttfb_n,
quantile_disc(s.crux."phone".ttfb, 0.5) AS phone_ttfb_median,
quantile_disc(s.crux."phone".ttfb, 0.75) AS phone_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb > 800 AND s.crux."phone".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL) AS desktop_lcp_n,
quantile_disc(s.crux."desktop".lcp, 0.5) AS desktop_lcp_median,
quantile_disc(s.crux."desktop".lcp, 0.75) AS desktop_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp > 2500 AND s.crux."desktop".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL) AS desktop_inp_n,
quantile_disc(s.crux."desktop".inp, 0.5) AS desktop_inp_median,
quantile_disc(s.crux."desktop".inp, 0.75) AS desktop_inp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".inp > 200 AND s.crux."desktop".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL) AS desktop_cls_n,
quantile_disc(s.crux."desktop".cls, 0.5) AS desktop_cls_median,
quantile_disc(s.crux."desktop".cls, 0.75) AS desktop_cls_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_good,
COUNT(*) FILTER (WHERE s.crux."desktop".cls > 0.1 AND s.crux."desktop".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL) AS desktop_fcp_n,
quantile_disc(s.crux."desktop".fcp, 0.5) AS desktop_fcp_median,
quantile_disc(s.crux."desktop".fcp, 0.75) AS desktop_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp > 1800 AND s.crux."desktop".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL) AS desktop_ttfb_n,
quantile_disc(s.crux."desktop".ttfb, 0.5) AS desktop_ttfb_median,
quantile_disc(s.crux."desktop".ttfb, 0.75) AS desktop_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb > 800 AND s.crux."desktop".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_poor
FROM site_providers p
JOIN sites s ON s.origin = p.origin
WHERE p.category = 'consent'
AND p.key IS NOT NULL AND CAST(p.key AS VARCHAR) <> ''
GROUP BY p.key;
Query #3:
44.5 ms
SELECT COUNT(*) AS n FROM sites;JSON file lookups (5)
20260625/meta.json
0.07 ms
20260625/types.json
0.56 ms
20260625/loaf-scripts.json
0.38 ms
20260625/menu.json
0.12 ms
20260625/providers.json
4.27 ms