UTM Parser
Paste URLs — we’ll extract utm_source, utm_medium, utm_campaign, and more, plus common click IDs.
Results
| Base URL | utm_source | utm_medium | utm_campaign | Issues |
|---|---|---|---|---|
| Run a parse to see results here. | ||||
What this tool extracts
UTM parameters + the most common ad click identifiers.
- UTM utm_source, utm_medium, utm_campaign, utm_term, utm_content + extras
- IDs gclid, fbclid, msclkid, gbraid, wbraid, ttclid, yclid
- Error invalid URL format
UTM parser: extract campaign tags from any URL
A UTM parser helps you quickly understand how a link is tagged for analytics. Paste one URL or a bulk list up to 100 links, and the tool will extract key parameters like utm_source, utm_medium, utm_campaign, plus optional tags like utm_term and utm_content. This makes it easy to audit tracking consistency across ads, social posts, email campaigns, and affiliate links.
Why UTM tags matter
UTM parameters are the simplest way to attribute traffic and conversions inside analytics platforms. If your team uses inconsistent naming, reports become messy: the same channel can split into multiple sources, and campaign results get fragmented. Parsing UTMs in bulk is the fastest way to spot mistakes like missing utm_source, incorrect medium naming, or duplicated parameters.
What else you can detect
Many ad platforms append click IDs such as gclid, fbclid, or msclkid. They are useful for debugging attribution and ensuring links are not being stripped or rewritten. This tool extracts those IDs too and exports them to CSV or Excel for reporting.
Fast workflow tip
Export results to Excel, sort by utm_source or utm_campaign, and you’ll instantly see duplicates, empty fields, or naming inconsistencies. Fix the link templates once — and your analytics data becomes cleaner across every channel.
FAQ
Does parsing modify the original URLs?
No. Parsing only reads query strings and extracts parameters. URLs are never rewritten or normalized in the results — the tool preserves the original form for accurate auditing.
Why detect both UTMs and click IDs?
Click IDs like gclid or fbclid provide attribution at the ad click level. Detecting both UTMs + IDs allows you to check whether tracking tags are preserved across redirects, link shorteners, or deep links.
Why does the tool normalize schemeless URLs?
Schemeless input like example.com?page=1 cannot be parsed reliably. Adding https:// allows the query string to be extracted without modifying the final meaning.
What does “other params count” mean?
Besides UTM and click IDs, some URLs contain filter/query parameters. Counting “other parameters” helps detect routing noise, tracking pollution, or unnecessary add-ons in affiliate links.
Why are duplicate parameters joined with commas?
Ad networks or redirect resolvers sometimes append the same parameter multiple times. Joining them prevents value loss and gives a complete inspection of what was received by analytics tools.
Can I use the export output for BI dashboards?
Yes. CSV and Excel exports are formatted for seamless ingestion into analytics pipelines, BI dashboards, and spreadsheet validation workflows.
Why mark “no utm” as a warning instead of error?
A URL without UTMs is technically valid—it simply lacks campaign attribution. Marking it as a warning highlights missing tagging instead of implying the link is broken.
Why is a URL considered invalid?
Invalid URLs fail parsing when required components such as host and path cannot be determined. Typos, missing slashes, or malformed query syntax may prevent extraction.