Getting Started with Google Analytics — What to Ask Before You Start 'Collecting' Data
"Add analytics and you can improve your site"—this assumption is half right, and half dangerous. Google Analytics is a tool for collecting data, not interpreting it. Even as numbers pile up, without a structure to connect them to organizational decision-making, data simply accumulates without ever becoming knowledge.
Getting it running first is the right move. Nothing begins without data. This article walks through the basic setup of Google Analytics step by step—while also raising the questions that remain once setup is complete.
Contents7 chapters
What Is Google Analytics
Google Analytics is a free web analytics service provided by Google. Anyone can start using it at no cost.
It gives you visibility into the following:
- How many visitors came to your site
- Which articles and pages are being read
- Where users are coming from
- How users are behaving on the site
The more data you accumulate, the more becomes visible. That said, "seeing" something and "understanding" it are two different things—we'll come back to that later in this article.
STEP 1: Create a Google Account
You need a Google account to use Google Analytics. If you already have one, you can skip this step.
Visit the Google Account creation page and enter your name, email address, and password. Following the prompts takes just a few minutes.
STEP 2: Register with Google Analytics
Go to analytics.google.com and click the "Sign up" button.
Setting Your Account Name
On the first screen, enter an "Account Name." Choose something easy to manage—your company name, personal name, or service name. If you're managing multiple accounts, pick a name that's easy to distinguish in a list. You can change this later.
For "Account Data Sharing Settings," proceed with the recommended defaults unless there's something specific you want to adjust.
Specify What to Measure
Choose from "Web," "Apps," or "Apps and web." If you're tracking a website only, select "Web."
Property Settings
Enter the following and proceed to "Create":
| Field | What to Enter |
|---|---|
| Website Name | The name of the site you want to track |
| Website URL | https:// or http:// + your domain |
| Industry Category | Select the category that best fits your site |
| Reporting Time Zone | The primary region of your traffic (e.g., "Japan" for Japan) |
STEP 3: Add the Tracking Code
Click the "Get Tracking ID" button and the tracking code to embed in your site will appear.
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-XXXXXXXXX-X"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-XXXXXXXXX-X');
</script>
Paste this code immediately after the <head> tag in the HTML of every page on your site.
If you're using WordPress, you can either paste it directly into your theme's header.php, or use a plugin like "Site Kit by Google" for an easier setup.
STEP 4: Verify the Installation
If the tracking code is correctly installed, data collection will begin within a few hours. It can take up to 24 hours for analytical data to appear in your reports.
Google Analytics cannot retroactively collect data. Every day that passes before installation creates a gap in your data record. Setting it up early matters.
How to verify:
- Open the "Real-time" report in the GA admin panel
- Visit your own site
- If the real-time report shows a number of 1 or more, the installation is complete
The Questions That Remain After You Collect Data
Setup is complete. You're now in a state where "data is visible."
But this is where the real challenge begins.
Google Analytics shows in numbers what is happening. Pageviews, Bounce Rate, time on site—these are records of phenomena. "Why is this happening" and "what can we do to improve it" don't emerge from the data alone.
Answering those questions requires the context and knowledge your organization holds. What kind of users are visiting, what those users are looking for, what intent the site was designed around—this is information that lives outside the numbers.
To translate data into organizational decision-making, it's not enough to set up a measurement system. You also need to structure the ongoing work of defining "what should be measured" and "what these numbers actually mean."
The Conclusion
Setting up Google Analytics isn't difficult. Create an account, paste the tracking code. Five minutes is all it takes.
The hard part comes after—looking at the data that accumulates and continuously asking, "So what does this mean?" High Bounce Rate, short session duration, unusually high traffic to certain pages. These numbers are the starting point for questions, not the answers themselves.
The gap between organizations that have a structure for connecting data to organizational knowledge and those that simply stare at numbers only grows wider over time.
Starting to measure and learning from measurement are entirely different skills.
