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Measurement

What is UTM Parameters?

Urchin Tracking Module Parameters

UTM parameters are five standardized tags appended to a URL — source, medium, campaign, term, and content — that tell an analytics platform exactly where a visit originated, rather than relying on the platform's own, often coarser, default attribution.

Without UTMs, a link shared in an email, a social post, and a partner newsletter can all land in analytics as generic 'referral' or 'direct' traffic — collapsing three genuinely different sources into one meaningless bucket.

Only source, medium, and campaign are required for most reporting; term and content exist for finer detail — tracking specific keywords in paid search, or distinguishing which of two ad creatives in the same campaign drove a click.

UTMs are entirely self-reported and easy to get wrong — a typo or inconsistent capitalization ('Email' vs 'email') creates a second, separate line item in reporting rather than merging with the first, silently fragmenting what should be one channel's data.

Formula

?utm_source=newsletter&utm_medium=email&utm_campaign=q1_launch

Lowercase everything, agree on a fixed vocabulary for source/medium values before anyone starts tagging links, and document it somewhere the whole team can find — a shared naming convention is the entire difference between usable and unusable UTM data.

Why UTM Parameters matters

Every attribution model, every channel-level ROAS number, and every 'which campaign actually worked' conversation depends on UTM data being consistent. A business with strong creative and a broken tagging convention still can't tell which channel to invest more in — the model is only as good as the data feeding it.

One typo, two lines of data

A team tags most email campaigns with utm_medium=email but one campaign goes out with utm_medium=Email. Analytics now reports two separate 'channels' where there's actually one — splitting the true performance in half and making email look weaker than it is in every report until someone notices the capitalization mismatch.

Common mistakes

  • No shared naming convention across the team

    Different people tagging links with their own inconsistent conventions is the single most common cause of fragmented, unusable channel data — and it compounds every month the inconsistency goes uncaught.

  • Tagging internal links with UTMs

    Adding UTM parameters to links between your own site's pages overwrites the visitor's original session source in some analytics setups, erasing the real acquisition channel and misattributing the conversion to an internal link instead.

  • Never auditing tagged links before a campaign launches

    A single mistyped parameter in a high-traffic email or paid campaign can corrupt a meaningful share of a reporting period's attribution data before anyone reviews the numbers.

Where we work on this

Applied, not theoretical

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