Tools

Campaign link analyzer

Stop guessing whether your UTM parameters are working — see how your URLs will be classified, what data you'll capture, and what insights you might be missing.
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The analytics blind spot that's costing you conversions
You've built your campaign URLs, launched your ads, and traffic is flowing. But three weeks later, you're staring at your analytics dashboard wondering why half your campaigns show up as "direct" traffic and your LinkedIn ads are being attributed to organic social.

The problem isn't your tracking setup—it's that you never validated what your URLs actually do before going live. Most marketers discover attribution issues after campaigns are already running, when fixing them means losing historical data and breaking campaign continuity.

This gap between intended tracking and actual results affects 68% of digital marketing campaigns, leading to misattributed conversions, wasted ad spend, and impossible optimization decisions. For B2B teams where every lead matters, these attribution blind spots can mean the difference between scaling successful campaigns and accidentally killing your best performers.
Test your campaign URLs instantly
Paste any URL to see exactly what UTM parameters will be tracked and how they'll be classified across analytics platforms
Google Ads
Facebook Social
Email Campaign
Affiliate
Direct Traffic
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Attribution Details

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Marketing Insights & Recommendations

Why UTM parameter analysis matters for campaign success
UTM parameter analysis bridges the critical gap between campaign setup and reliable attribution. Instead of hoping your URLs work correctly, smart marketers validate their tracking before launch to ensure every click gets properly attributed to the right source, medium, and campaign.

The benefits extend beyond basic validation. Parameter analysis reveals how different analytics platforms will interpret your URLs, identifies potential classification conflicts, and uncovers optimization opportunities you might otherwise miss. When you understand exactly how your tracking works, you can make confident decisions about budget allocation and campaign optimization.

Most importantly, proper UTM analysis prevents the attribution errors that plague multi-channel campaigns. When you know your URLs will be consistently classified across platforms, you can trust your data enough to make significant budget and strategy decisions based on performance insights.
How to use UTM parameter analyzers effectively
Start by testing representative URLs from each of your active campaigns before launch. Don't just check that parameters are present—verify they'll be interpreted correctly by your analytics platforms and that naming conventions align with your attribution goals.

Pay special attention to how different platforms classify your medium and source parameters. What Google Analytics interprets as "social" might be categorized differently in Facebook's attribution system, leading to discrepancies that complicate campaign analysis.

Test edge cases and unusual parameter combinations that might occur in your campaigns. Special characters, capitalization inconsistencies, and unexpected parameter values can break attribution in subtle ways that only surface during analysis.
Tool features that matter for data-driven teams
Built for marketers who need reliable attribution, not another complicated tool
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Real-time parameter extraction
Instantly see what UTM parameters your URLs contain and how analytics platforms will process them.
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Channel classification preview
Know exactly how campaigns will be categorized across different attribution systems.
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Attribution rule insights
Understand how parameter combinations affect attribution logic and reporting accuracy.
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Insights and recommendations
Get channel-specific insights like engagement patterns and strategic recommendations for campaign optimization.
Complete campaign attribution without the guesswork
While this analyzer ensures your URLs work correctly, Madlitics captures the complete story — tracking leads from first click through closed deals with multi-touch attribution that reveals the true impact of every campaign. You get detailed lead source enrichment, campaign-level ROI analysis, and sales-ready insights that turn validated tracking into strategic advantages.
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Automatic lead source enrichment
Every form submission automatically captures detailed campaign data, so you know exactly which ads, emails, or content pieces are driving qualified leads.
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Campaign-level ROI tracking
Connect marketing spend to actual revenue outcomes with clear attribution from first click to closed deal, enabling confident budget allocation decisions.
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Sales team enablement
Automatically route leads with complete source context to the right sales reps, so they know exactly how to approach each prospect.
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Advanced audience insights
Understand which campaign combinations drive the highest-value leads, enabling more sophisticated targeting and messaging strategies.
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Multi-touch attribution
Track the complete customer journey across channels and touchpoints, not just the last click before conversion.
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Cross-platform data unification
Eliminate attribution discrepancies by centralizing all campaign data in one reliable system, regardless of source platform.
What is UTM parameter analysis?
UTM parameter analysis is the process of examining campaign URLs to understand how their tracking parameters will be interpreted by analytics platforms, CRM systems, and attribution tools. This analysis reveals exactly what data will be captured when users click your links and how that data will be classified across different systems.

The analysis typically examines source, medium, campaign, term, and content parameters to predict attribution outcomes, identify potential classification conflicts, and suggest optimization opportunities. Advanced analysis also considers how parameter combinations interact with platform-specific attribution rules.

Modern UTM analyzers go beyond basic parameter extraction to provide channel classification previews, attribution rule explanations, and recommendations for improving tracking consistency across multi-channel campaigns.

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