Definition
Parameters added to the end of a URL that tell your analytics tool which source, medium and campaign sent the visitor.

Why it matters

Without tags, much of your traffic arrives in analytics as "direct" or as a vague "referral". A newsletter click, a social share and a partner link all blur together, so budget drifts towards whatever looks biggest, rather than whatever produces bookings. A tag costs a few extra characters and removes the guessing.

Tags also connect traffic to results. When the source and campaign are stored with a sign-up or a lead, you can see which campaign produced pipeline and revenue, not just visits. That is the difference between reporting clicks and deciding where the next pound goes.

The catch is consistency. "Email", "email" and "e-mail" show up as three separate sources, so a short naming rule matters more than the tagging itself.

How to apply it

  • Tag every link you place yourself: emails, social posts, partner pages, printed QR codes.
  • Agree a naming rule first and keep it in a shared sheet: all lower case, a short fixed list of mediums, and campaign names that match the ad platform.
  • Build links with a URL builder instead of typing them, so a stray space or capital letter never splits one campaign into two rows.
  • Check the tagged traffic within days of the first send, while a typo is still cheap to fix.

What it is

A UTM is a label attached to a web address after a question mark. The name comes from Urchin Tracking Module, the tool that analytics software grew out of. The three standard labels are utm_source (where the click came from, such as newsletter), utm_medium (the type of channel, such as email or cpc) and utm_campaign (which push it belongs to, such as spring-launch). Two optional ones, utm_term and utm_content, can record a keyword or tell two links in the same message apart.

A tagged link looks like this: yoursite.com/pricing?utm_source=newsletter&utm_medium=email&utm_campaign=spring-launch. The visitor lands on the same page. The labels are only read by the analytics tool.

Common mistakes

  • Tagging links inside your own website. This overwrites the real source of the visit.
  • Mixing "Email", "email" and "e-mail". Analytics treats them as three sources.
  • Putting personal data, such as an email address, in a tag.
Worked example

Suppose a twelve-person B2B services firm sends a monthly newsletter through Brevo and also shares each issue on LinkedIn. Before tagging, its analytics showed a large pile of "direct" visits, and nobody could say which channel produced the two demo bookings that month. The team added three labels to every link it placed: utm_source (newsletter or linkedin), utm_medium (email or social) and utm_campaign (spring-launch). It agreed the rules in a shared sheet, kept everything lower case and built each link with a URL builder. Two weeks later, Google Analytics showed the newsletter bringing 310 visits and more bookings than LinkedIn at a similar volume. The next budget moved to the newsletter. The tags took about an hour to set up, and the guessing stopped.

Tools in the example

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  1. Article

    Impressions

    How many times the link was shown.

  2. Article

    Reply rate

    The outbound equivalent, counted in replies rather than clicks.

Where it shows up

  • Measuring what works and following data to make better decisions. It tells you which changes are worth keeping and which to drop.
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