How UTM Truncation Creates Duplicate Data in GA4
When GA4 truncates long UTM values at 100 characters, multiple campaigns can merge into duplicate rows. Learn how truncation breaks reporting.
You launch 5 different email campaigns targeting different customer segments.
You check GA4 one week later. You see ONE campaign row with all the traffic merged together.
You can't tell which segment performed best. Which subject line won. Which offer drove conversions.
Five campaigns. One row. All because your campaign names were too long and got truncated to the same 100-character string.
This is UTM truncation creating duplicate data—and it's destroying your ability to measure campaign performance.
Table of contents
- How Truncation Creates Duplicates
- Real Example: 7 Campaigns Became 1 Row
- Common Truncation Patterns
- Pattern 1: Sequential Campaign Numbers
- Pattern 2: Date Variations
- Pattern 3: A/B Test Variants
- How to Detect Merged Campaigns
- Method 1: Compare Launch Count vs GA4 Rows
- Method 2: Session Volume Analysis
- Method 3: Character Count Inspection
- Method 4: Check for Ellipsis Pattern
- Impact on Attribution
- Problem 1: Can't Identify Winners
- Problem 2: Incorrect ROI Calculation
- Problem 3: Lost Optimization Insights
- Prevention Strategies
- Strategy 1: Front-Load Differentiators
- Strategy 2: Keep Total Under 85 Characters
- Strategy 3: Use utmcontent for Variations
- Strategy 4: Standardized Abbreviations
- FAQ
- Can I retroactively fix merged campaigns in GA4?
- How do I know if my campaigns are merging?
- What if I need long descriptive names for internal tracking?
- Does truncation affect other analytics platforms?
- Can I use URL shorteners to avoid truncation?
- What if my platform auto-generates long campaign names?
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How Truncation Creates Duplicates
The mechanism:
-
You create Campaign A:
email_2024_january_promo_segment_vip_customers_offer_70_percent_off_subject_free_shipping_creative_variant_a(110 characters) -
You create Campaign B:
email_2024_january_promo_segment_regular_customers_offer_50_percent_off_subject_sale_ends_creative_variant_b(116 characters) -
Both exceed 100 characters
-
GA4 truncates both to 100 characters:
- Campaign A →
email_2024_january_promo_segment_vip_customers_offer_70_percent_off_subject_free_shipping_creat - Campaign B →
email_2024_january_promo_segment_regular_customers_offer_50_percent_off_subject_sale_ends_cre
- Campaign A →
-
If they share a common prefix of 100+ characters: Both become:
email_2024_january_promo_segment_vip_customers_offer_70_percent_off_subject_free_shipping_creat -
GA4 sees ONE campaign name
-
All sessions merge into ONE row
😰 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.
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Real Example: 7 Campaigns Became 1 Row
Company: B2B SaaS Campaign: Q1 2024 webinar series
Campaign names:
1. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_enterprise
2. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_smb
3. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_startup
4. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_agency
5. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_nonprofit
6. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_education
7. webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segment_government
All 7 campaigns: 120-135 characters
GA4 truncated all to 100 characters:
webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segm
All differentiation (enterprise vs smb vs startup) cut off after character 100.
GA4 report showed:
- ONE campaign:
webinar_registration_2024_q1_march_project_management_best_practices_for_remote_teams_targeting_segm - Total sessions: 2,847
- Conversions: 134
Couldn't answer:
- Which segment converted best?
- Should we focus on enterprise or SMB?
- Which audience had highest registration rate?
$18,000 spent on segmented targeting. Zero ability to measure which segment performed.
Common Truncation Patterns
Pattern 1: Sequential Campaign Numbers
Campaigns:
spring_sale_2024_email_promotional_segment_existing_customers_high_value_campaign_variant_test_number_1
spring_sale_2024_email_promotional_segment_existing_customers_high_value_campaign_variant_test_number_2
spring_sale_2024_email_promotional_segment_existing_customers_high_value_campaign_variant_test_number_3
All truncate to:
spring_sale_2024_email_promotional_segment_existing_customers_high_value_campaign_variant_test_nu
The differentiator ("number_1", "number_2", "number_3") is chopped off.
Result: Three campaigns appear as ONE.
Pattern 2: Date Variations
Campaigns:
newsletter_weekly_digest_promotional_content_featuring_blog_articles_and_product_updates_sent_january_08_2024
newsletter_weekly_digest_promotional_content_featuring_blog_articles_and_product_updates_sent_january_15_2024
newsletter_weekly_digest_promotional_content_featuring_blog_articles_and_product_updates_sent_january_22_2024
All truncate to:
newsletter_weekly_digest_promotional_content_featuring_blog_articles_and_product_updates_sent_jan
The date is cut off. Can't tell which week's newsletter performed better.
Pattern 3: A/B Test Variants
Campaigns:
black_friday_sale_2024_promotional_email_campaign_subject_line_test_get_70_percent_off_everything_variant_a
black_friday_sale_2024_promotional_email_campaign_subject_line_test_get_70_percent_off_everything_variant_b
black_friday_sale_2024_promotional_email_campaign_subject_line_test_get_70_percent_off_everything_variant_c
All truncate to:
black_friday_sale_2024_promotional_email_campaign_subject_line_test_get_70_percent_off_everything_v
Variant indicator (a, b, c) removed. Can't determine winning variant.
How to Detect Merged Campaigns
Method 1: Compare Launch Count vs GA4 Rows
Launched campaigns: 7 GA4 shows: 1 row
Gap = merged campaigns.
Method 2: Session Volume Analysis
GA4 shows:
- Campaign:
webinar_reg_2024_...→ 2,847 sessions
Your email platform shows:
- 7 campaigns sent
- Average 400 sessions each
- Expected total: ~2,800 sessions
Math checks out, but shouldn't be ONE row—should be 7 rows.
Method 3: Character Count Inspection
Export campaign names from GA4:
Campaign Name | Sessions | Character Count
webinar_registration_2024_q1_march_project_... | 2,847 | 100
If character count = EXACTLY 100 → likely truncated.
Check source campaign names in email/ad platform—are they longer than 100?
Method 4: Check for Ellipsis Pattern
Truncated campaigns often end mid-word:
...remote_teams_targeting_segm ← Ends at "segm" (truncated from "segment")
...variant_test_nu ← Ends at "nu" (truncated from "number")
...subject_line_te ← Ends at "te" (truncated from "test")
These are red flags for truncation.
Impact on Attribution
Problem 1: Can't Identify Winners
A/B test: 3 subject line variants GA4: Shows 1 merged campaign Result: Can't determine winning variant
You optimize future campaigns based on... nothing.
Problem 2: Incorrect ROI Calculation
Campaign A: $2,000 spend, VIP segment (high LTV) Campaign B: $4,000 spend, regular segment (medium LTV)
GA4 merges both:
- Shows $6,000 spend
- Can't separate VIP vs regular performance
- Can't calculate segment-specific ROI
Might conclude: "Email isn't profitable" when reality is VIP segment has 4x ROI but regular segment is breakeven.
Problem 3: Lost Optimization Insights
What you wanted to learn:
- Which customer segment responds best?
- Which offer (70% off vs BOGO) drives more revenue?
- Which creative style performs better?
What you actually learned:
- "This merged campaign got 2,847 sessions"
Zero actionable insights.
Prevention Strategies
Strategy 1: Front-Load Differentiators
Bad (differentiator at end):
email_newsletter_promotional_2024_january_winter_sale_segment_vip
email_newsletter_promotional_2024_january_winter_sale_segment_regular
If truncated, both become:
email_newsletter_promotional_2024_january_winter_sale_segment_vip ← 62 chars (safe)
Good (differentiator early):
vip_2024_jan_winter_sale_email
regular_2024_jan_winter_sale_email
Even if truncated, differentiation preserved.
Strategy 2: Keep Total Under 85 Characters
Buffer for safety:
- Limit: 100 characters
- Target: 85 characters
- Safety margin: 15 characters
Why 85? Accounts for potential URL encoding expansion (spaces, special chars).
Strategy 3: Use utm_content for Variations
Instead of:
utm_campaign=spring_sale_2024_email_promo_segment_vip_offer_70pct_variant_a
Use:
utm_campaign=spring_sale_2024_vip
utm_content=offer_70pct_variant_a
Benefits:
- Campaign name stays short
- Variations tracked in content
- Can still segment/filter by content
Strategy 4: Standardized Abbreviations
Create team glossary:
- newsletter → nl
- promotional → promo
- campaign → cmpn
- segment → seg
- variant → var
- january → jan, february → feb, etc.
Before:
newsletter_promotional_january_2024_winter_sale_segment_vip (64 chars)
After:
nl_promo_2024_jan_winter_sale_vip (33 chars - saved 31 chars!)
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FAQ
Can I retroactively fix merged campaigns in GA4?
No. Once campaigns are merged due to truncation, historical data cannot be separated in GA4. You can only:
- Correlate with source platform data (email sent dates, ad campaign IDs)
- Manually track which campaigns launched when
- Accept the merged data and fix going forward
How do I know if my campaigns are merging?
Compare counts:
- Campaigns launched (from your tracking sheet): 7
- Campaigns in GA4 (Traffic Acquisition): 1
If GA4 count < launch count → merging likely.
What if I need long descriptive names for internal tracking?
Use two naming systems:
GA4 (utm_campaign): Short, under 85 chars
utm_campaign=q1_webinar_pm_2024
Internal tracker (spreadsheet): Full descriptive name
Internal: "Q1 2024 Webinar: Project Management Best Practices for Remote Teams - Enterprise Segment"
UTM: q1_webinar_pm_2024_ent
Maintain lookup table mapping short → long names.
Does truncation affect other analytics platforms?
Varies by platform:
- Adobe Analytics: 255-character limit (more forgiving)
- Matomo: No hard limit (depends on database config)
- Mixpanel: 255-character limit
GA4's 100-character limit is notably strict.
Can I use URL shorteners to avoid truncation?
No—truncation happens at GA4 data collection, not URL length.
URL shorteners shorten the overall URL, but GA4 still extracts and truncates individual UTM parameter values at 100 characters.
What if my platform auto-generates long campaign names?
Override the auto-generation:
- Use custom campaign name field (if available)
- Build URLs externally and paste complete URLs
- Contact platform support to request character limit enforcement