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What are UTM Parameters?

Using UTM parameters to track every click, fix attribution, and confidently allocate budget with clean, consistent data.

If you can’t track it, you can’t scale it. UTM parameters are the lightweight framework that makes marketing measurable with clear labels on every link that reveal which messages and placements move the needle, and which don’t.

Use UTMs to replace guesswork with clarity by capturing UTM parameters, keeping UTM tags consistent, and persisting UTM parameters end-to-end, revealing which sources and creative are driving visits and conversions. With UTMs in place, marketers can point to the TikTok ad, the partner newsletter, or the email send that earned the lead how to track conversions and adjust budget confidently.

In this article, covers what UTM parameters are, why they're important, and best practices for UTM conversion tracking so traffic is categorized correctly in your tools.

What is a UTM parameter?

UTM parameters (Urchin Tracking Module parameters) are tiny bits of text you add to a URL to make your reporting actually make sense. They don’t change the page; they make reporting make sense by attributing visits and conversions to the right campaign, channel, and creative.

Start with utm_source. Think of it as “who sent the visitor.” It’s the location or provider where the link lives—Facebook, Google, Bing, The New York Times, your email service, a partner’s site, even a specific newsletter. If it’s not a website, use the platform/provider name (e.g., “marketo”). When in doubt, ask: “Where did this visitor come from?”

utm_source identifies who sent the visitor. Where the link lives, such as Facebook, Google, Bing, a partner site, or a specific newsletter.

utm_medium defines how the visitor arrived by channel type — social, email, cpc, display, affiliate, sms, or podcast. Specificity matters: labels like “paid_social” vs. “paid_search” prevent ambiguity and make cross‑channel comparisons reliable.

utm_campaign is the campaign label for the thing you’re promoting, such as a sale, launch, event, or content push. It’s the biggest bucket that ties all the placements back to the same push. Pick durable names you’ll recognize in future reporting so performance rolls up correctly (e.g., “summer_sale,” “spring_launch_2026,” “brand_retarg”).

utm_content distinguishes the exact creative or placement variant. It’s the key to testing and learning within a campaign. As the lowest level and perfect for creative and placement testing: different ad sizes, headlines, CTAs, or variations (“image_1200x628” or “cta_learn_more”).

utm_term is primarily used for paid search. It’s the keyword or query that triggered the click. If you’ve got auto-tagging turned on in Google Ads or Microsoft Ads, you usually don’t need to set this manually — those platforms pass click IDs (like gclid/msclkid) that GA can use to derive the details. Outside of search, some marketers repurpose utm_term to label audiences or ad sets, but do that intentionally and document it so it stays consistent.

utm_source is who sent the click, utm_medium is how it got to you, utm_campaign is the thing it belongs to, utm_content is the specific content they saw, and utm_term is the keyword (mostly search).

Why are UTM parameters important

Every team spends real time and money on campaigns and content across paid and organic channels. UTMs make that effort measurable to see exactly which messages, channels, and placements drive visits, leads, and revenue; and which ones need a rethink.

Without UTMs traffic fragments into near‑duplicate categories and referrer buckets that obscure what’s working. UTMs impose a shared vocabulary—source, medium, campaign, content, term—so sessions and conversions align the same way in analytics and your CRM.

Consistent UTMs tagging give you precise attribution by pinpoint whether traffic sources came from a TikTok ad, an Instagram story, a partner newsletter, or a specific QR code. They also make post-click analysis better: pair UTMs with on-site behavior, such as lead capture forms and you’ll see which campaigns drive deeper engagement, stronger conversion rates, and better landing-page fit, instead of just counting clicks.

With UTMs, links carry clear context, making reports coherent across tools and keeping optimization grounded in real signal.

Try our campaign builder

Madlitics has a simple campaign name and URL builder to help you generate consistent, UTM-tagged links. It structures your campaign names, applies your preferred source/medium patterns, and outputs copy-paste-ready URLs so you can keep everything clean across teams and channels.

What tool can help track UTM parameters?

Madlitics of course! Madlitics is a form-first way to capture and standardize marketing channel attribution, through campaign segments (ie. UTM parameters), landing page data, and click IDs—right inside each form submission. First‑party data is captured inside each form submission so CRMs, BI and other marketing tools inherit it automatically with no additional customizations or dashboards required.

Beyond UTMs, Madlitics gives you dependable, first-party context from click to close. You’ll see which ads, audiences, and creatives drive real pipeline, reallocate budget with confidence, and prove ROI without wrestling spreadsheets or rebuilding your stack.

Madlitics is built to help marketers see where leads come from and send the data where it belongs. Start a free 14-day trial and get decision-ready attribution without changing your tools.

What you can do with Madlitics

  • Capture source, medium, campaign, content, and term, and alongside customer submission data.
  • Reveal reliable channel categorization (Paid Search, Paid/Organic Social, Email, Affiliates, etc.)
  • Send clean attribution into your CRM, MAP, and analytics so reporting aligns everywhere.
  • Preserve gclid, fbclid, msclkid and other IDs for ad platform matching and revenue attribution.
  • Store landing page and landing page group to compare performance by entry point.
  • Normalize UTMs automatically so “Paid_Social,” “paid-social,” and “paidsocial” don’t fracture your reports.
  • Track leads, customers, and revenue by channel/campaign to spot what deserves more spend.
  • Drop-in fields for popular form builders and site platforms; quick install, clear guides.

Tips

• Use lowercase only: UTM parameters are case-sensitive, so stick to lowercase to avoid duplication issues (e.g., utm_source=facebook, not Facebook).
• Use hyphens instead of underscores or spaces
: Hyphens are the preferred separator in UTMs for readability and consistency
• Avoid special characters
: Keep UTMs clean by excluding characters like &, %, $, which can break URLs or cause errors.
• Maintain a shared naming convention
: Develop and use a standardized naming system for campaign, source, and medium labels across your team and channels for consistency.
• Don’t tag internal links
: Use UTMs only for inbound traffic from external sources; internal links should not include UTMs to prevent skewing data.
• Order UTM parameters consistently
: Place important parameters like source, medium, and campaign early in the URL to prevent truncation issues and ensure key data is captured.
• Avoid over-tagging
: Only include parameters that provide actionable insights; too many parameters can clutter your data and complicate analysis.
• Capture UTMs at the form.
Store first-touch fields in hidden inputs so attribution flows into your CRM and stays attached to each record.

Madlitics multi-channel attribution visualization, showing marketing platforms like TikTok, Instagram, Google, and Facebook. The graphic highlights how different sources contribute to high-performing marketing channels.
1. Add UTM parameters to all inbound links
Any marketing effort that drives traffic — whether it’s a paid ad, an email campaign, or an organic post — should have properly structured URLs that clearly define the visitor’s origin. Setting it up is a straightforward process that starts with ensuring all inbound links include UTM parameters.

A LinkedIn campaign, for example, might link to:
https://yoursite.com/?utm_source=linkedin&utm_medium=paidsocial&utm_campaign=q1_promo
Screenshot of a form builder interface with a highlighted 'Hidden Input' field. Accompanied by text explaining how to install and set up Madlitics by adding hidden fields to capture marketing attribution data.
2. Add hidden fields
Once you’ve added UTM tracking to your inbound links, the next step is to install Madlitics on your site and update your Framer Forms to include hidden fields that will store attribution data when a visitor submits a form automatically. Hidden fields to include:
• Channel (e.g., Paid Search, Organic Social, Direct)
• Segment 1 (Platform name: Google, LinkedIn, Twitter)
• Segment 2 (Campaign name)
• Segment 3 (Ad group, offer name, or post type)
• Segment 4 (Creative type or ad variation)
• Landing page/group (Tracking & first-touch attribution)
CRM interface showing a detailed view of captured attribution data, including marketing channels, segments, and landing pages. A business profile of a lead is displayed, highlighting how Madlitics enriches lead data for sales and marketing teams.
3. Utilize attribution data
With the setup complete, every form submission in Framer now carries full attribution data, ensuring accurate insights into where leads originate. Pass this data to your CRM, analytics tools, or marketing automation platforms to track performance, refine campaigns, and optimize marketing efforts with precision.

UTM parameters make marketing measurable and repeatable, explaining where traffic comes from and why it arrives. Adding UTM tags to your marketing efforts removes ambiguity, preserve data integrity, and let you compare results confidently across channels and creatives.

Frequently asked questions

Answers to your top questions about our UTM parameters
Put attribution data to work
Sync, analyze, and automate — turn insights into action.
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Sync with your CRM
Pass UTM parameters into Salesforce, HubSpot, or ActiveCampaign so your sales team knows exactly where every lead came from — no more guessing.
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Built smarter reports
Use Google Sheets, Looker Studio, or Airtable to create data-driven reports that reveal which campaigns drive real revenue — helping you make informed budget decisions.
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Track revenue impact
Sync UTM data with Stripe, PayPal, or Chargebee to see which campaigns generate paying customers, not just leads — so you can scale what works.
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Personalize email campaigns
Trigger personalized email flows in Klaviyo, Mailchimp, or ConvertKit based on a lead’s original source — ensuring the right message reaches the right audience.
Visualizing your marketing impact
See how attribution data translates into actionable insights.
Stacked bar chart showing lead generation by marketing channel over time, comparing sources like Paid Search, Paid Social, Organic Search, Direct, and Email. Helps visualize which channels drive the most traffic.
Leads by channel
See how different marketing channels contribute to lead generation over time. Understand which ones drive the most traffic and whether your marketing mix is balanced. Shift your budget toward the highest-performing channels to maximize results.
Stacked bar chart illustrating lead volume across different marketing campaigns, including Black Friday, Retargeted, Spring Promo, Referral, and SEO. Highlights trends in campaign effectiveness.
Leads by campaign
Track inbound leads across all campaigns, whether or not they have UTM parameters. Ensure every lead is categorized correctly, including Organic and Referral traffic. Use this insight to refine messaging, targeting, and budget allocation for better performance.
Line chart displaying lead-to-customer conversion rates by channel, comparing Google Ads, Facebook Ads, LinkedIn Ads, Organic Search, and Email. Shows how different sources drive qualified leads over time.
Conversion rate by channel
See which channels convert leads into paying customers. Some bring buyers, while others generate unqualified leads. Focus your budget on what drives revenue.
Line chart showing revenue performance by marketing campaign, comparing Google Ads, Facebook Ads, and LinkedIn Ads. Helps identify top-performing and underperforming campaigns.
Revenue by campaign
Focus your budget on campaigns that drive revenue, not just leads. Identify top performers and optimize underperforming efforts to maximize profitability.
Everything you need for reliable lead attribution
Accurate, persistent, and automated tracking — so your campaigns perform at their best.
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Outperforms basic UTM tracking
Madlitics captures, categorizes, and persists attribution data across sessions, giving you a complete, structured view of what’s working in your marketing. Say goodbye to losing attribution when users navigate your site, struggling with formatting inconsistencies, and ingored non-UTM traffic.
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Capture all traffic
Madlitics categorizes all inbound leads — whether they have UTM parameters or not — so every conversion is accounted for, and you won't miss out on Organic Search, Organic Social, and Referral traffic.
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Attribution across pages and sessions
A LinkedIn ad click should be attributed correctly—even if the visitor signs up on a different page later. If someone clicks an ad, browses multiple pages, then submits a form later, Madlitics persists attribution data across sessions, ensuring your reports reflect true performance.
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Cleaner, more reliable data
Duplicate UTMs and inconsistent formatting break reports and mislead teams. Madlitics cleans and organizes attribution data before sending it to your CRM, giving you accurate insights.
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See which content converts
Attribution isn’t just about where visitors came from—it’s about what convinced them to convert. By capturing landing page data alongside UTM parameters, Madlitics shows you which blog posts, case studies, or pricing pages drive the most revenue, helping you scale content that works.
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Transform form submissions into actionable insights
Madlitics connects marketing touchpoints to lead generation, ensuring every form submission is fully attributed — optimize ad spend by identifying high-ROI channels, refine messaging based on what content drives engagement, make data-driven decisions with clean, structured reports, and more.