Compare LinkedIn post variations with a consistent UTM pattern
Separate two LinkedIn post treatments in analytics while keeping their shared campaign name.
A useful comparison changes one meaningful element at a time and labels the links consistently.
The problem behind the post
Suppose one article is promoted with a short case-study post and a second post that leads with a question. If each link uses a different campaign name, the report hides the fact that both promoted the same article. If neither is tagged, the report may not tell you which treatment people followed. Consistent campaign labels and distinct content labels solve this organizational problem.
A practical way to handle it
Keep utm_source=linkedin and a stable medium such as social for both URLs. Use one campaign name for the article or initiative. In utm_content, label the creative difference: case_study_opening and question_opening. The Campaign Link Builder will make each URL and preserve any existing non-UTM parameters in the destination.
Schedule the posts with enough separation that the audience is not simply seeing the same message twice in one hour. Record the post dates and the target audience. When reading the results, compare qualified visits or actions on the destination page, not only visible post impressions. A better click rate may still bring readers who leave immediately if the landing page does not deliver the promise.
A worked example
A nonprofit shares one volunteer handbook twice: first as a story about a new volunteer's first day, later as a direct checklist. Both links use utm_campaign=volunteer_handbook; content labels distinguish the two openings. The team can then ask which message led people to the handbook without fragmenting the campaign name.
Before you publish
- Is the campaign name identical across variations?
- Does each content value describe the actual difference?
- Are you comparing a useful downstream action?
A common mistake
Avoid declaring a universal winning post from two examples. Timing, audience mix, and external events may differ. Treat the data as a prompt for another test, and keep the post text and landing page together when interpreting results.
Use the related Frenzlab tool to put this method into practice, then check the result in the destination platform.
Sources and further reading
Platform features and interfaces may change. These references were used to check the platform-specific details in this guide.
Practical, independently written guidance. If a step has changed, tell us so we can verify it.
