Website categorization sounds simple until one domain contains work, learning, entertainment, shopping, and distraction at the same time. That is normal on the modern web, which is why many tracking dashboards feel wrong.
Many screen time trackers categorize websites by assigning one label to one domain. That approach is easy to maintain, but it assumes a simpler internet than the one people actually use now.
On modern platforms, a single domain can contain research, shopping, entertainment, communication, and education all in the same day.
Domain-only categorization works reasonably well for narrow websites, but it falls apart on large content and community platforms.
More useful tools increasingly rely on a broader set of signals: page titles, URL patterns, metadata, visit sequences, and interaction context. None of those signals is perfect on its own, but together they create a much better approximation of intent.
Accurate categorization changes the meaning of the dashboard. It helps users understand whether high browser time came from work, study, communication, or drift. That is the logic behind a stronger screen time tracker and a more accurate website time tracker.
No. Categorization is probabilistic. The goal is not perfection. The goal is a meaningfully more useful model than one-domain-one-label reporting.
Because users searching for website or screen time tracking tools often feel current dashboards are inaccurate. This is one of the clearest differentiators deTime can explain.