A new performance indicator has appeared among Google’s Essential Web Signals (Basic Web Vitals). Google wants to get closer to the user’s resentment on the loading time of a web page. Thus, where the LCP (Larget Contentful Paint) measures the load time of the main element of a page above the fold, and the CLS (Cumulative layout change) the different movements of elements within a page while it is loading, the FID (First Entry Delay) does not seem to have lived up to the expectations of the engine teams to track the responsiveness of a page. It is in this context that the new INP indicator comes in, aiming to be as close as possible to reality, in terms of the different interactions that a user can have on a web page.
What is Interaction to Next Paint (INP)?
Following an article on Google’s web.dev site, INP was announced at Google I/O 2022 as a more powerful metric for measuring interactivity with a page. Indeed, where the FID only takes into account the first action of a user, and the response time of the browser for the interaction to take place during the loading of a page, the INP focuses on its part of the set of interactions that can occur during all of a user’s interactions on a page.
Before the arrival of the FID, the TBT indicator (Total blocking time – which accumulated the sum of browser blocking times, and the TTI (It’s time to interact – which were calculated based on the LCP and the end of the last long task performed by the browser) were the first webperf-related KPIs that aimed to interpret the latency of web page interactions, but did not turn out to be sufficiently representative of all the interactions that users could have over the duration of a page visit.
Total Blocking Time which accumulated the additional time of long tasks, beyond 50ms
With these different indicators, it seems obvious that Google is still looking for this measure of responsiveness of a page, and does not manage to have data sufficiently representative of user resentment on the time of a page to follow up on an interaction. , over its life cycle. This data is however crucial, since data relating to the use of Chrome show that approximately 90% of the time is spent by a user on a page after it has loaded.
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An article written by Aymeric BouillatSenior SEO Consultant at Novalem.