5 Reasons Your Campaign Data Is “Dirty” (Even When You’re Doing Everything Else Right)

  1. Inconsistent or Missing UTMs
    Even a small variation — like email vs. Email vs. e-mail — creates separate rows in GA4.
    Missing UTMs are even worse: clicks lose their context entirely, making it impossible to tie traffic back to a specific campaign.
  2. Different Team Members Use Different Naming Styles
    If agencies, partners, or internal team members create campaign links without a shared system, your UTMs become a patchwork of formats.
    That makes it hard to group results, compare performance, or understand what actually worked.
  3. Untagged Campaign Clicks Get Misclassified as Direct or Referral
    This is one of the most overlooked issues.
    When a link has no UTMs:
    GA4 doesn’t know where the visitor came from. So it labels the session as direct
    Or, if the click passed through another site or app, it may get labeled as a referral
    Neither classification reflects the true source. This hides real campaign performance and inflates channels that shouldn’t be getting credit.
  4. Duplicate or Conflicting Parameter Values
    Small inconsistencies—like blackfridayblack_fridayBlackFriday2025—fragment the data.
    Instead of one unified campaign performance line, you get multiple scattered entries that dilute insights.
  5. Manual UTM Creation Leaves Room for Errors
    When UTMs are created quickly or by hand, it’s easy to miss a parameter, mistype a name, or mix formatting.
    Those small errors add up, and over time, they create noisy, unreliable reporting.

consistent UTM structure is one of the simplest, most effective ways to improve data quality at the source.

If you’d like a tool that keeps everyone aligned and helps reduce these issues, feel free to try UTM Manager — it was built to make UTM consistency much easier.