Personalization impact React sites
Performance impact by personalization provider.
1
At a glance the headline numbers for Personalization impact
Performance impact by personalization provider.
2
Providers ranked
After min-sites filter
337
Sites in sample
Combined across all items
78ms
Best INP (p75)
Algolia Recommend
The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
2
The ranking sorted by INP at p75, fastest first
| # | Provider | INP p75 | Passing | Sites | |
|---|---|---|---|---|---|
| 1 | Algolia Recommend | 78ms | 97.6% | 281 | |
| 2 | Elfsight | 83ms | 100.0% | 56 |
The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
3
Passing INP per provider which group passes the INP most often
ProviderSitesPassing INPp75
Elfsight 0.6% 56 83ms
Algolia Recommend 2.9% 281 78ms
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good INP (200ms at p75) · one value per site
The State of Web Vitals · October 2026 · React sites (9,570) · desktop 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
Algolia Recommend 2.9%
752.4s
9878ms
620.19
652.0s
451.6s
Elfsight 0.6%
553.1s
10083ms
270.31
641.9s
431.1s
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.
The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
Related signals JS libraries (26) → Tag managers (8) → A/B testing (12) → Chat & messaging (17) → 210,902 crawled sites with Chrome field data, representing millions of real page loads · How we measured
210,902 crawled sites with Chrome field data, representing millions of real page loads. How we measured.