Urchin Tracking Module

The Urchin Tracking Module (UTM) is a method utilized for tracking the detailed source of website traffic in Google Analytics.

The Urchin Tracking Module (UTM) is a simple piece of code that can be attached to the end of a URL to track a source, medium, and campaign name. This enables Google Analytics to provide users with detailed information about where their website's traffic is coming from. The UTM was inherited from Urchin, a web statistics analysis program that Google acquired in 2005, forming the backbone of what we now know as Google Analytics.

Example

For instance, if you're promoting your products through a summer sale campaign via a Facebook post, the tracked URL might look something like this: www.yourwebsite.com/?utm_source=facebook&utm_medium=post&utm_campaign=summersale.

Why is UTM important?

Unraveling the effectiveness of individual marketing efforts is essential for data-driven businesses; the UTM does precisely that. By appending your URLs with UTMs, you can go beyond just knowing how much traffic you're getting from broad channels like social media or email and instead delve deeper into specifics such as the particular post or email that drove the users to your site.

Which factors impact UTM?

To further optimize your use of UTMs, consistency and clarity are crucial. A well-defined and standardized naming convention across your campaigns can greatly enhance your ability to analyze your data. Exploit using URL builders to ensure accurate UTM format.

How can UTM be improved?

The success and accuracy of UTM tracking greatly depend on the correct implementation of UTM parameters, including source, medium, campaign, term, and content. Misspelled words, inconsistent use of cases (lowercase versus uppercase), and not using URL encoding where necessary can lead to skewed or inaccurate results.

What is UTM's relationship with other metrics?

UTMs work in harmony with other ecommerce metrics to yield detailed insights. They offer the ability to track clicks from a variety of channels which work in correlation with metrics like conversion rate, number of transactions, revenue, and bounce rate. This collaboration makes it possible to determine which of your marketing avenues are proving profitable and which ones need revamping, assisting in channel prioritization.

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