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Resolving UTM data issues in Madlitics

Resolving ‘No Source,’ ‘No Campaign,’ or ‘No Terms’ in your captured marketing data

Are your leads showing up in Madlitics with Channel = 'Paid Search' but missing critical data in the Drilldown fields for Source, Campaign, or Terms? This issue can make it hard to analyze ad performance and optimize your campaigns effectively. The most common causes — either the ad your lead clicked on didn’t have UTM parameters set up or errors occurred during their configuration.

Let’s dive into the key reasons behind these UTM errors and the fixes you can implement to resolve them.

1. Google Ads Autotagging
Google Ads’ Autotagging feature is helpful but can create conflicts if you haven’t added UTM parameters to your ad URLs. While Autotagging automatically appends tracking data to your URLs, this data doesn’t follow the UTM format that Madlitics uses to populate segment fields like Source, Campaign, and Terms.

If Autotagging is enabled and UTM parameters aren’t in place, you’ll see gaps in your analytics, such as missing segment data for paid search traffic.

Fixing Google Autotagging issues
• Manually Add UTMs:
Make sure every ad in your campaign has properly formatted UTM parameters. For example:utm_source=google&utm_medium=cpc&utm_campaign=spring_sale&utm_term=running_shoes
• Use Madlitics’ Recommended UTMs:
Streamline the process by following the conventions outlined in Madlitics’ UTM best practices guide, ensuring compatibility with your analytics and CRM.
• Utilize Autotagging + UTMs Together:
If you prefer to leave Autotagging enabled, make sure you still append UTM parameters to your URLs for consistency and accuracy.

2. Typos and formatting errors happen
Even small errors in your UTM parameters can cause them to fail. Simple mistakes may be more common than you might think, especially when setting up multiple campaigns quickly.
• Using incorrect formatting, like utm-source instead of utm_source.
• Including typos in parameter names, such as utm_campaing instead of utm_campaign.
• Forgetting to separate parameters with an ampersand (&).
• Including more than one “?” in your URL.

Fixing common errors
Follow these UTM best practices to avoid errors:
• Ensure parameters are structured correctly:?utm_source=google&utm_medium=cpc&utm_campaign=spring_sale
• Use only one “?” at the start of your parameters, and separate each parameter with “&.”
• Double-check for typos in both parameter names and values.
• Use consistent naming conventions for campaign details, such as lowercase text and underscores instead of spaces.

If you’re still unsure about proper formatting, refer to Madlitics’ UTM troubleshooting guide or resources like Google Analytics' UTM best practices.

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 troubleshooting can seem daunting, but most issues come down to a few common causes. Whether it’s resolving Google Ads tracking issues by adding UTMs or double-checking for formatting errors, a little attention to detail can ensure that Madlitics delivers the accurate insights you need.

By fixing UTM parameters and following the tips above, you’ll be on your way to cleaner, more reliable campaign data. If you’re seeing issues with specific campaigns, check out our guide to recommended UTM parameters to ensure everything tracks as expected.

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.