Multiple Platform Click IDs Detected: The Tracking Nightmare

UTMGuard Team
7 min readplatform-guides

Multiple Platform Click IDs Detected: The Tracking Nightmare

You're looking at your GA4 reports and something is very wrong. Your session counts are 3-5x higher than your actual traffic. Conversions are being attributed to the wrong platforms. Your ROI calculations make no sense.

Then you examine the URLs hitting your site and find this horror:

yoursite.com?gclid=abc123&fbclid=def456&msclkid=ghi789

Your URLs have multiple platform click IDs—the single worst tracking scenario in digital marketing. Every major ad platform (Google, Facebook, Microsoft) is fighting for attribution on the same URL, creating data chaos that makes your analytics completely unreliable.

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What Are Platform Click IDs?

Each advertising platform uses a unique parameter to track clicks from their platform to your website:

  • Google Ads: gclid (Google Click ID)
  • Facebook/Instagram: fbclid (Facebook Click ID)
  • Microsoft Ads: msclkid (Microsoft Click ID)
  • TikTok: ttclid (TikTok Click ID)
  • Twitter/X: twclid (Twitter Click ID)
  • LinkedIn: li_fat_id (LinkedIn Ads ID)
  • Pinterest: epik (Pinterest tracking)
  • Google iOS: wbraid or gbraid (enhanced conversions)

These parameters are automatically added when someone clicks an ad. They're designed to work ALONE—never together.

How URLs Get Multiple Click IDs

This tracking nightmare happens through a cascade of user behavior and platform automation:

Scenario 1: Social Media Sharing

  1. User clicks your Google Ad → URL gets gclid=abc
  2. User loves your product, shares URL on Facebook
  3. Facebook appends fbclid=def to the shared link
  4. Someone clicks the Facebook link → GA4 sees BOTH Google and Facebook click IDs
  5. Result: One user session creates 2+ session records in GA4

Scenario 2: Cross-Platform Retargeting

  1. User visits via Facebook Ad → fbclid added
  2. Leaves without converting
  3. Sees your Google retargeting ad later, clicks
  4. Google adds gclid to existing URL with fbclid
  5. Result: Double attribution, inflated metrics

Scenario 3: Social Platform Link Previews

  1. You post your Google Ads URL on LinkedIn
  2. LinkedIn's crawler fetches the link to generate preview
  3. LinkedIn adds li_fat_id when processing
  4. Someone clicks the LinkedIn post
  5. Result: URL arrives with both Google and LinkedIn parameters

Scenario 4: URL Shorteners

  1. Marketing team creates Bitly link from tracked URL
  2. Bitly preserves ALL query parameters
  3. That shortened link gets shared across multiple platforms
  4. Each platform adds its own parameter on top
  5. Result: Parameter accumulation hell

😰 Is this your only tracking issue?

This is just 1 of 40+ ways UTM tracking breaks. Most marketing teams have 8-12 critical issues they don't know about.

• 94% of sites have UTM errors

• Average: $8,400/month in wasted ad spend

• Fix time: 15 minutes with our report

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The Devastating Impact on GA4

When GA4 receives a URL with multiple click IDs, bad things happen:

1. Session Count Inflation

Normal scenario:

  • 1,000 users click your Google Ad
  • GA4 records: 1,000 sessions from Google / CPC

With multiple click IDs:

  • Same 1,000 users
  • URLs contain gclid + fbclid + msclkid
  • GA4 records: 2,000-5,000 sessions (duplicate attribution)
  • Each click ID may create a separate session record

2. Attribution Chaos

GA4 doesn't know which click ID to believe. Depending on GA4's internal logic (which parameter appears first, which timestamp is newer), it might:

  • Attribute traffic to Google when it really came from Facebook
  • Split a single user's journey across multiple "sources"
  • Create parallel session records that inflate engagement metrics
  • Assign conversions to the wrong platform, destroying ROI calculations

3. Cost Per Acquisition Becomes Meaningless

If your $50 conversion is attributed to "Direct" traffic instead of your Google Ads campaign, your CPA calculations are worthless. You might:

  • Cut budgets from high-performing campaigns (false negatives)
  • Increase spending on low-performing campaigns (false positives)
  • Make strategic decisions based on completely wrong data

4. Impossible Multi-Touch Attribution

Multi-touch attribution models rely on accurate source data. When URLs have multiple click IDs, your attribution path looks like:

Google → Facebook → Microsoft → Direct → Purchase

When reality was just:

Google → Purchase

Your attribution model is analyzing fiction.

Detecting Multiple Click IDs

Signs you have this problem:

✅ Session counts in GA4 exceed your ad platform click counts ✅ Traffic from "unexpected" platforms for single campaigns ✅ Users with impossibly short time between sessions from different sources ✅ Conversion paths showing rapid platform switching ✅ UTMGuard audit showing "Multiple Platform Click IDs Detected" error

How to diagnose in GA4:

  1. Go to Explorations → Create new Free Form exploration
  2. Add dimension: "Page path + query string"
  3. Add filter: Contains gclid
  4. Search results for any rows also containing fbclid, msclkid, etc.
  5. Count affected sessions to quantify the problem

Example query that reveals the issue:

Page path contains: gclid
AND contains: fbclid

If you see results, you have URL pollution.

The Root Cause

Multiple click IDs aren't a platform bug—they're a user behavior problem:

Users share tracking URLs. They copy-paste URLs from their address bar without knowing those URLs contain tracking parameters. When those URLs get shared on social media, every platform adds its own tracking on top.

Platforms operate independently. Google doesn't strip Facebook's fbclid before adding gclid. Facebook doesn't check for existing click IDs before appending fbclid. Each platform only cares about its own tracking.

Tracking parameters persist. Unlike cookies (which expire), URL parameters last forever in bookmarks, email forwards, social shares, and link aggregators.

The Fix (Overview)

You need a three-part solution:

  1. Prevent parameter accumulation by cleaning URLs before users can share them
  2. Server-side parameter filtering to remove duplicate click IDs before GA4 sees them
  3. Monitor and alert when new instances appear

See our detailed guides:

✅ Fixed this issue? Great! Now check the other 39...

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FAQ

Q: Can't I just ignore this if my traffic is small?

No. Even 50 polluted sessions per month corrupt your baseline metrics and make year-over-year comparisons meaningless. Fix it early before it compounds.

Q: Will this affect my Google Ads conversions?

It might actually IMPROVE them. Right now, conversions attributed to "Direct" or "Facebook" might actually be from your Google Ads campaigns. Proper attribution fixes this.

Q: How do I prevent this without blocking social sharing?

Clean the URL in the browser's address bar after GA4 captures the initial click ID. Users then share clean URLs while you still get attribution data. Details in our prevention guide.

Q: What if users bookmark URLs with multiple click IDs?

Implement server-side filtering to clean URLs on every request, regardless of how users arrive. This is the most reliable solution.


Related: Platform Click ID Conflicts Documentation