One thing I've learned running a SaaS company is that your analytics tooling shapes what you actually pay attention to. For years I was obsessed with traffic volume, bounce rates, and session duration—the metrics that Google Analytics made easy to see. But those numbers never told me what actually mattered: whether the people coming to my site were likely to become customers. I was measuring motion instead of progress.
The real shift came when I started thinking about attribution differently. Where does my traffic actually come from, and more importantly, what is that traffic worth? I use Voris to see what happens when AI assistants mention my product, and I can track those visitors all the way through to whether they convert or not. It's a different way of asking the question. Instead of guessing that AI referrals are probably valuable, I can see exactly which mentions move the needle and which ones don't.
What surprised me most was discovering that some of our biggest revenue sources were almost invisible in traditional analytics. A mention from one AI engine would send exactly the kind of person who became a paying customer, while traffic from another source looked busier but led nowhere. Once I could see those patterns clearly, my entire approach to content and messaging shifted.
The lesson I keep coming back to is this: you need analytics built for what's actually happening now, not what worked five years ago. The internet has changed. Your measurement tools should reflect that.
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