Why Modern Analytics Tools Create More Data but Less Clarity

For years, analytics dashboards were something you checked regularly. Sessions, page views, conversions. The mental model was simple enough for most operators. Then GA4 arrived. Not as a worse analytics tool, but as a more complex one. Event-based tracking, flexible schemas, and deeper customization made analytics more powerful than ever. But for many teams, it also made analytics harder to interpret day-to-day. That gap between data and understanding is what I’ve been exploring while building GobbleData. Quietly, across startups, agencies, product teams, and growing businesses, a new behavior emerged: People stopped checking analytics. Not completely. Not intentionally. Just gradually. Dashboards became something you meant to check, but didn’t. Not because the numbers didn’t matter. Because interpreting them required too much effort. That’s the real story of analytics in the GA4 era. Not a tooling problem. An understanding problem. “If you’ve ever opened GA4 and immediately closed it