Everyone knows that slow pages are bad. Fewer conversions, higher bounce rates, worse rankings. That is not a new finding. And yet most teams treat site performance and user behavior as two separate worlds.
On the one hand: Lighthouse, PageSpeed Insights, Chrome DevTools. Technical scores, lab data, synthetic tests. On the other hand, analytics. Sessions, funnels, conversions. Two dashboards, two tools, zero connection.
The result: You know that your LCP is 3.2 seconds. But you don't know if that's the reason why your funnel loses 40 percent in the second step.
bchic is now measuring the five Core Web Vitals directly in an analytics context:
LCP - Largest Contentful Paint How long does it take for the main content to be visible?
CLS - Cumulative layout shift. How stable is the layout when loading?
INP - Interaction to Next Paint. How quickly does the site respond to clicks?
FCP - First Contentful Paint. When does the user see something for the first time?
TTFB - Time to first byte. How fast does the server respond?
It's not lab data. These are real user metrics. Measured for every single visitor, on every single page, in every single session.
The actual value is not in the metrics themselves. You can get them somewhere else too. The value is that they live in the same system as your user behavior.
You can now ask questions that were not possible before. How does the conversion rate differ for visitors with an LCP of less than 2.5 seconds compared to those over 4 seconds? Does a high CLS on the product page correlate with higher bounce rates? Did the last deployment worsen INP values and if so, did that affect user behavior?
Not two tools. No CSV exports. No manual comparisons. A system.
Web Vitals are particularly valuable after deployments. New features, design changes, third-party scripts, anything can affect performance. And you usually only notice it when the conversion rate plummets a week later.
With bchic, you can immediately see whether the Web Vitals have changed after a release. In combination with the Change impact analysis Can you directly measure whether the change has affected not only technical performance but also user behavior.
That's the difference between “the page has slowed down” and “the page has slowed down and that's why we have 12 percent fewer checkouts.”
Even without a specific reason, it is worthwhile to let the Web Vitals run for a week. You'll get a baseline. You can see which pages are critical, which device groups are affected, and where performance issues are affecting behavior.
Most performance issues aren't dramatic. They're insidious. A script that adds 200 milliseconds to the LCP. A layout shift that is worse on mobile than on desktop. A server that responds more slowly under load. Individually irrelevant. In sum, the reason why the figures are incorrect.
Web Vitals have been a technical topic so far. A reporting tool for developers, not for product or marketing. But site performance affects anyone working on conversion, engagement, or retention.
bchic brings Web Vitals where they belong: in the same context as page views, sessions, and funnels. Not as a separate dashboard. As part of the analysis.
Performance tools show you what's slow.
bchic shows you how much it costs.
