gclid vs Manual UTM Parameters: Which Should You Use?
When you click a Google Ad, one of two things happens:
Option 1: Google adds a gclid parameter
yoursite.com?gclid=Cj0KCQiA...
Option 2: You manually add UTM parameters
yoursite.com?utm_source=google&utm_medium=cpc&utm_campaign=summer_sale
The question every marketer asks: Which one should I use?
The answer is simpler than you think. But understanding WHY requires knowing what each method actually does.
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What is gclid?
gclid = Google Click Identifier
It's an encrypted parameter that Google Ads automatically adds when auto-tagging is enabled.
Example:
yoursite.com?gclid=Cj0KCQiA5YuNBhCRARIsAGQtEIrL8...
This single parameter contains:
- Campaign ID
- Ad Group ID
- Keyword (for Search)
- Match type
- Ad creative ID
- Placement (for Display)
- Device type
- Geographic location
- Network type (Search/Display/Shopping/etc.)
- Time of click
All encoded in one parameter.
When GA4 sees a gclid, it sends a request back to Google Ads to decode all this data. GA4 then attributes the session to the correct campaign, ad group, and keyword automatically.
What Are Manual UTM Parameters?
UTM = Urchin Tracking Module (legacy name from pre-Google Analytics)
Manual UTMs are parameters you add yourself:
?utm_source=google
&utm_medium=cpc
&utm_campaign=summer_sale
&utm_content=ad_group_1
&utm_term=running_shoes
Each parameter has a specific purpose:
- utm_source: Traffic source (google, facebook, newsletter)
- utm_medium: Traffic medium (cpc, email, social)
- utm_campaign: Campaign name (summer_sale, q4_promo)
- utm_content: Ad variation (ad_group_1, banner_a)
- utm_term: Keyword (running_shoes, nike_sneakers)
GA4 reads these parameters directly from the URL and attributes the session accordingly.
Head-to-Head Comparison
1. Data Captured
gclid captures:
- ✅ Campaign name
- ✅ Ad group name
- ✅ Keyword (actual search term for Search campaigns)
- ✅ Match type (exact, phrase, broad)
- ✅ Ad creative ID
- ✅ Placement URL (for Display)
- ✅ Device
- ✅ Geographic location
- ✅ Network type
- ✅ Ad format
- ✅ Click type
Manual UTMs capture:
- ✅ Source (what you manually specify)
- ✅ Medium (what you manually specify)
- ✅ Campaign (what you manually specify)
- ⚠️ Content (only if you add utm_content)
- ⚠️ Term (only if you add utm_term, and it won't be the actual search term)
- ❌ Everything else requires additional custom parameters
Winner: gclid (captures far more data automatically)
2. Setup Complexity
gclid setup:
- Enable auto-tagging in Google Ads (one toggle)
- Done
Time: 30 seconds
Manual UTM setup:
- Create UTM structure/naming convention
- Build tracking template with ValueTrack parameters
- Add to account-level settings
- Check each campaign type (Search, Display, Shopping, etc.)
- Verify campaign-specific tracking templates
- Test across all ad formats
- Document for team
- Train team on structure
Time: 2-4 hours initial, ongoing maintenance
Winner: gclid (dramatically simpler)
3. Accuracy and Human Error
gclid accuracy:
- ✅ Automatically correct
- ✅ No typos possible
- ✅ Always formatted properly
- ✅ Google maintains the system
Manual UTM accuracy:
- ❌ Typos in campaign names (summer_sale vs summersale vs summer-sale)
- ❌ Inconsistent capitalization
- ❌ Spaces not encoded properly
- ❌ Forgotten parameters on new campaigns
- ❌ ValueTrack syntax errors
- ❌ Copy-paste mistakes
Real example of manual UTM errors we've seen:
utm_campaign=Summer Sale ← Space not encoded
utm_campaign=summer_sale ← Lowercase
utm_campaign=Summer_Sale ← Capitalized
utm_campaign=SUMMER_SALE ← All caps
utm_campaign=summer%20sale ← Encoded space
Result: GA4 sees these as 5 different campaigns. Your reporting is fragmented.
Winner: gclid (zero human error)
4. Cost Data Import
gclid with auto-tagging:
- ✅ Cost data automatically imported to GA4
- ✅ Impression and click data synced
- ✅ Real-time updates
- ✅ No manual CSV uploads
Manual UTMs:
- ❌ No automatic cost import
- ❌ Must manually upload cost data via Data Import
- ❌ Requires matching dimension structure perfectly
- ❌ Time-consuming and error-prone
Winner: gclid (automatic cost integration)
5. Keyword-Level Data
gclid:
- ✅ Captures actual search query that triggered ad
- ✅ Shows match type
- ✅ Distinguishes exact vs broad match traffic
Manual UTMs:
- ❌ Can use
utm_term={"{"}{"{"}keyword{"}"}{"}"}}ValueTrack parameter - ❌ Shows keyword you bid on, not actual search query
- ❌ No match type data
- ⚠️ Search query data only available in Google Ads, not GA4
Example:
You bid on: "running shoes" User searches: "best nike running shoes for marathon"
- gclid shows: "best nike running shoes for marathon" (actual query)
- Manual UTM shows: "running shoes" (your keyword)
Winner: gclid (captures real user search intent)
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✓ Shows exact sessions affected
6. Cross-Domain Tracking
gclid:
- ✅ Automatically preserved across domains
- ✅ Works with GA4 cross-domain measurement
- ✅ No special configuration needed
- ✅ Maintains attribution through redirects
Manual UTMs:
- ⚠️ Can work with proper GA4 cross-domain setup
- ❌ Requires linker parameter configuration
- ❌ Can break with URL redirects
- ❌ More complex troubleshooting
Example scenario:
User clicks ad → lands on yoursite.com → redirects to checkout.yourbrand.com
- gclid: Attribution maintained automatically
- Manual UTMs: Requires linker setup or attribution breaks
Winner: gclid (seamless cross-domain support)
7. Privacy and Consent Mode
gclid with Consent Mode:
- ✅ Google Consent Mode v2 compatible
- ✅ Cookieless tracking with enhanced conversions
- ✅ Conversion modeling when consent denied
- ✅ Future-proof for privacy regulations
Manual UTMs:
- ⚠️ Still work but without advanced consent features
- ❌ No conversion modeling
- ❌ Limited cookieless tracking
- ❌ May become less effective with future privacy changes
Winner: gclid (better privacy compliance)
8. Reporting Granularity
gclid in GA4:
- ✅ Campaign-level reporting
- ✅ Ad group-level reporting
- ✅ Keyword-level reporting (Search)
- ✅ Creative-level reporting
- ✅ Placement-level reporting (Display)
- ✅ Device, location, time dimensions
- ✅ Google Ads native reports
Manual UTMs in GA4:
- ✅ Source/medium/campaign reporting
- ⚠️ Content reporting (if you added utm_content)
- ⚠️ Keyword reporting (if you added utm_term, but less detailed)
- ❌ No ad-level granularity
- ❌ No placement data
- ❌ Must use Google Ads interface for deeper analysis
Winner: gclid (far more granular in GA4)
9. Maintenance Burden
gclid maintenance:
- ✅ Set once, forget forever
- ✅ Automatically works for new campaigns
- ✅ No ongoing adjustments needed
- ✅ Google updates tracking automatically
Manual UTMs maintenance:
- ❌ Must update for every new campaign
- ❌ Must audit quarterly for consistency
- ❌ Must retrain new team members
- ❌ Must update when naming conventions change
- ❌ Must fix errors retroactively
Annual time investment:
- gclid: 0 hours
- Manual UTMs: 10-20 hours
Winner: gclid (zero maintenance)
10. Mobile App Tracking
gclid:
- ✅ Works seamlessly with Firebase
- ✅ Tracks app installs from Google Ads
- ✅ Preserves attribution through app stores
- ✅ Integrates with Google Play Install Referrer
Manual UTMs:
- ❌ Don't work for app installs
- ❌ Broken attribution through app stores
- ❌ Requires separate SDK implementation
Winner: gclid (only viable option for apps)
The Verdict: Which Should You Use?
For Google Ads: Use gclid (Auto-Tagging)
gclid wins in every category:
- More data captured
- Simpler setup
- Zero maintenance
- Automatic cost import
- Better keyword data
- Cross-domain support
- Privacy compliance
- Mobile app support
Note: GA4 uses gclid exclusively and ignores manual UTM parameters. While adding UTMs alongside gclid is harmless (GA4 simply ignores them), they're redundant. Using gclid alone provides cleaner URLs with no loss of functionality.
When to Use Manual UTMs
Manual UTMs are perfect for:
- Email campaigns (Mailchimp, HubSpot, etc.)
- Social media organic posts
- Partner/affiliate links
- QR codes
- Offline materials with URLs
- Any traffic source WITHOUT auto-tagging
The rule:
- Platform has auto-tagging (Google Ads, Facebook Ads, Microsoft Ads) → Use auto-tagging
- Platform has no auto-tagging (email, social organic, partners) → Use manual UTMs
Common Objections (Debunked)
"But I want custom campaign names in GA4"
Response: You can customize reports in GA4 without breaking tracking. Use:
- Custom channel groupings
- Calculated fields
- Report filters
- Segments
Don't sacrifice tracking accuracy for cosmetic preferences.
"Our agency template uses manual UTMs"
Response: Your agency's template is outdated. Modern Google Ads tracking uses auto-tagging. If they insist on manual UTMs, question their expertise.
"I need UTMs for our secondary analytics tool"
Response: Options:
- Configure that tool to read gclid (many can)
- Accept GA4 double-session tracking and use Google Ads reports for accuracy
- Switch tools
Don't pollute your primary analytics for a secondary platform.
"I want more control over my data"
Response: gclid gives you MORE control, not less:
- More granular data
- More accurate attribution
- More reliable tracking
- More integration capabilities
Manual UTMs give you the illusion of control through manual work, but less actual insight.
"What if Google changes how gclid works?"
Response: Google maintains backward compatibility. gclid has worked the same way since 2010. Manual UTM structures break when YOU change them, which happens far more often.
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Migration Guide: Manual UTMs → gclid
If you're currently using manual UTMs, here's how to switch:
Week 1: Preparation
- Document current UTM structure
- Export 90 days of GA4 data for comparison
- Add GA4 annotation: "Switching to auto-tagging"
Week 2: Implementation
- Enable auto-tagging in Google Ads
- Remove manual UTM parameters from tracking templates
- Test clicks to verify gclid appears
- Monitor for 48 hours
Week 3-4: Validation
- Compare Google Ads clicks to GA4 sessions
- Verify cost data importing
- Check conversion tracking
- Train team on new setup
Month 2: Optimization
- Build new GA4 reports using auto-tagging data
- Leverage keyword-level insights
- Optimize based on accurate metrics
Technical Deep Dive: How gclid Works
Step 1: User clicks ad
Ad URL: yoursite.com/landing-page
Step 2: Google Ads adds gclid
Redirect to: yoursite.com/landing-page?gclid=Cj0KCQ...
Step 3: User's browser loads page GA4 measurement code sees gclid parameter
Step 4: GA4 decodes gclid GA4 makes background request to Google:
"Hey Google, what campaign is gclid=Cj0KCQ... from?"
Step 5: Google responds with details
{
"campaign": "Summer Sale 2024",
"ad_group": "Running Shoes - Exact Match",
"keyword": "best nike running shoes",
"match_type": "exact",
"device": "mobile",
"location": "New York",
...
}Step 6: GA4 attributes session Session recorded with full campaign details
All of this happens in milliseconds, automatically.
FAQ
Can I use gclid AND manual UTMs together?
No. This creates double-session tracking where GA4 counts every click twice. Always use ONE method: auto-tagging for platforms that support it, manual UTMs for everything else.
Does gclid slow down my website?
No. The gclid parameter is processed by GA4's JavaScript, which runs asynchronously. There's no performance impact.
Can competitors see my gclid data?
No. gclid is encrypted. Competitors can't decode it to see your campaign structure, keywords, or bids.
What if I use Microsoft Ads or Facebook Ads?
Same principle:
- Microsoft Ads: Use auto-tagging (msclkid)
- Facebook Ads: Use auto-tagging (fbclid)
- TikTok Ads: Use auto-tagging (ttclid)
Never add manual UTMs to platforms with auto-tagging.
Does gclid work with Google Analytics Universal Analytics (UA)?
Yes, but UA is deprecated as of July 2023. If you're still on UA, migrate to GA4 immediately. Auto-tagging works with both.
Can I customize what gclid captures?
No, gclid is entirely managed by Google. But you can ADD custom parameters alongside gclid using ValueTrack or custom URL parameters (just not utm_* parameters).
Summary
Use gclid (auto-tagging) for:
- Google Ads (all campaign types)
- Microsoft Ads (msclkid)
- Facebook Ads (fbclid)
- Any platform with auto-tagging
Use manual UTMs for:
- Email campaigns
- Social media organic
- Partner/affiliate links
- QR codes
- Any source without auto-tagging
Never mix auto-tagging + manual UTMs on the same URL.
The modern tracking stack:
- Auto-tagging for paid platforms
- Manual UTMs for everything else
- Clean, accurate data
- Minimal maintenance