Want to know how many people visit your site, which pages are popular and where your visitors come from? Connect your site to an analytics service and you get instant insight.
Works with what you already use
Obelisk supports the well-known services: Google Analytics, Google Tag Manager, Plausible, Microsoft Clarity and the Facebook pixel. You enter your own code and the measurement automatically runs on every page.
Privacy-friendly is possible too
Prefer to measure without cookies? Plausible is a cookieless option, so you do not need a consent banner for it.
Why analytics data matters
Traffic numbers alone don't tell you much. The real value comes from combining page views with conversions — how many visitors fill in a form or reach a checkout. That turns analytics from a vanity metric into a tool you can act on.
A common use case: a landing page gets plenty of visits, but the numbers show most people leave within ten seconds. That tells you the problem is the headline or the opening paragraph, not the whole page — so you know exactly where to start improving.
If you also run a cookie banner, keep an eye on your consent rate. A low rate means a large part of your visitors stays invisible in the reports, which skews every conclusion you draw from the data.
Practical tip: read your analytics alongside your SEO results. Rankings tell you who could find you; analytics tell you what they did once they arrived — together they show the full picture.
Choosing the right tool for your situation
Which analytics service makes sense depends on the size and nature of your site more than on personal preference. A small local business with a handful of pages usually gets everything it needs from a lightweight, cookieless tool like Plausible: visits, top pages and referral sources, without the overhead of a consent banner. A larger site with marketing campaigns, paid ads and multiple conversion funnels tends to outgrow that quickly and needs the deeper segmentation Google Analytics offers — audience breakdowns, custom events, and integration with ad platforms.
Non-profits, membership associations and community platforms often sit in between: they care less about ad attribution and more about understanding which content keeps people engaged. For that audience, a simple page-view and referrer report is often more useful than a full marketing suite nobody has time to configure properly.
Common mistakes with analytics setups
The most common mistake is installing a tracking code and never looking at it again. A dashboard nobody checks provides zero value, no matter how sophisticated the tool. Set a recurring reminder — weekly or monthly — to actually read the numbers, even briefly.
The second common mistake is tracking everything and acting on nothing. Ten different goals with no clear priority tend to produce paralysis rather than insight. Pick the two or three numbers that actually matter for your business — new leads through a form, or newsletter signups via subscribers — and build your habit of checking around those.
Analytics compared to guessing
Before analytics, most site owners rely on gut feeling: "our blog seems popular" or "nobody reads the FAQ page." Real numbers routinely contradict that instinct — pages that feel important in your head are sometimes barely visited, while a page you almost didn't publish quietly becomes a top entry point from search. That gap between assumption and reality is exactly why it is worth connecting a tool from day one, even before you have a large audience.
If you run a large product catalogue built with dynamic pages, per-page analytics quickly show which individual items attract traffic and which barely get viewed — a direct signal for what to feature more prominently elsewhere on the site.
If you are curious how visitors actually move through the site once they land, pairing analytics data with a look at your SEO and structured data setup shows the fuller picture: not just how many people arrive, but why search engines sent them there in the first place.
How to ask the assistant
Connect our Google Analytics to the site (measurement ID G-XXXXXXXXXX).