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How does Madlitics organize marketing campaigns?

After categorizing visitors into channels, go deeper with multi-level segmentation for platform, campaign, and creative insights.
Attribution is broken

Madlitics captures and organizes visitor data to help you understand exactly how people arrive on your site and interact with your marketing efforts. By automatically categorizing each visit into a marketing channel, Madlitics provides structured insights that allow you to make informed, data-driven decisions.

How Madlitics categorizes visitor data


When someone visits your website — whether from a Google search, paid ad, or social media link—Madlitics determines the source and assigns it to a marketing channel such as Paid Search, Organic Social, or Email. But beyond just labeling visits, Madlitics goes deeper by structuring data into multiple levels of segmentation.

Each visit is assigned a Channel, which serves as the top-level category, followed by more detailed Segment levels that provide increasing levels of granularity. Here’s how it works:

Channel: The main category of the visit (e.g., Paid Search)
Segment 1: Additional details about the visit (e.g., Search Engine Name)
Segment 2: A more specific level of insight (e.g., Campaign Name)
Segment 3: Further refinement of the visit's context (e.g., Ad Group Name)
Segment 4: The most specific level of categorization (e.g., Ad Variation or CTA)

By structuring visitor data in this way, Madlitics ensures that you can trace exactly where each lead is coming from and what marketing efforts are driving meaningful interactions.

Mapping fields by Marketing Channel


Madlitics uses fields (Channel, Segment 1, Segment 2, etc.) to automatically organize marketing attribution data based on how visitors reach your site, by pulling from UTM parameters and/or referrers for consistent, granular tracking across channels. This lets you analyze performance at multiple levels (e.g., broad source vs. specific creative) without manual tagging or spreadsheets, so every lead submission carries the full context straight to your CRM. Here’s how Madlitics populates these fields for common channels.

Campaign-Driven Channels:

🔍 Paid Search
When a visitor arrives after clicking a search engine ad.

Channel ->  Paid Search
Segment 1 (utm_source) -> the paid search platform or search engine: google, bing, duckduckgo
Segment 2 (utm_campaign) -> the specific paid search campaign: spring_sale_campaign, brand_awareness
Segment 3 (utm_term) -> the keyword or targeting: crm_software, marketing_tools
Segment 4 (utm_content) -> specific ad variation or headline: headline_a, text_ad_v2


🛍️ Paid Shopping

When a visitor arrives from a product listing or shopping placement.

Channel ->  Paid Shopping  
Segment 1 (utm_source) -> the shopping platform or marketplace: Google Shopping, Amazon
Segment 2 (utm_campaign) -> the specific shopping campaign: pla_campaign_q1
Segment 3 (utm_term) -> the product group or ad group within the shopping campaign: shoes, electronics
Segment 4 (utm_content) -> specific product ad variation or creative: red_running_shoes_ad


📱 Paid Social
When a visitor arrives from a sponsored post or social ad.

Channel ->  Paid Social  
Segment 1 (utm_source) -> the social platform where the ad was displayed: LinkedIn, Facebook, Instagram
Segment 2 (utm_campaign) -> the campaign name associated with the ad: q1_lead_gen, brand_awareness
Segment 3 (utm_term) -> the ad group or targeting criteria used in the campaign: founders, retargeting_30d
Segment 4 (utm_content) -> specific specific ad or creative variation: video_a, carousel_2


📹 Paid Video
When a visitor arrives after watching or clicking a video advertisement.

Channel ->  Paid Video  
Segment 1 (utm_source) -> the video platform where the ad was displayed: YouTube, Vimeo
Segment 2 (utm_campaign) -> the campaign name associated with the ad: q1_lead_gen, brand_awareness
Segment 3 (utm_term) -> the ad group or targeting criteria used in the campaign: founders, tech_channel, gamers
Segment 4 (utm_content) -> specific specific ad or creative variation: 15_second_spot, demo_reel


🤝 Affiliates

When a visitor arrives through a partner or affiliate link.

Channel ->  Affiliate
Segment 1 (utm_source) -> the affiliate network or partner: impact, shareasale, partner_x
Segment 2 (utm_campaign) -> the offer or promotion: spring_sale, product_line_a
Segment 3 (utm_term) -> how/where the affiliate promoted the offer: newsletter, instagram_story, tech_audience
Segment 4 (utm_content) -> specific link, ad variation, or discount code used: banner_a, discountcode_HOLIDAY, text_link_footer


🎙️ Audio
When a visitor arrives after hearing an audio ad or podcast sponsorship.

Channel ->  Audio
Segment 1 (utm_source) -> the audio platform or publisher: Spotify, Podcast Network
Segment 2 (utm_campaign) -> the associated sponsorship or campaign name: podcast_sponsorship_ampaign
Segment 3 (utm_term) -> the audience, show, or segment: tech_listeners
Segment 4 (utm_content) -> the ad type: 30_second_ad, host_read


🖼️ Display Ads

When a visitor arrives from a banner or display network ad.

Channel ->  Display
Segment 1 (utm_source) -> the platform or network used: gdn, adroll
Segment 2 (utm_campaign) -> the campaign name: retargeting_q2, winter_ale_ampaign
Segment 3 (utm_term) -> the placement or buying strategy: news_sites, retargeting
Segment 4 (utm_content) -> the creative or placement variation: banner_300x250_a


📧 Email Marketing

When a visitor arrives from an email or newsletter link.

Channel ->  Email
Segment 1 (utm_source) -> the sending platform or list: gdn, adroll
Segment 2 (utm_campaign) -> the campaign name: weekly_digest, launch_email
Segment 3 (utm_term) -> the type of email or audience segment: welcome_email, trial_users
Segment 4 (utm_content) -> the creative, link or variation: button_top, footer_link


🎯 Other Campaigns

When a visitor arrives from a tagged campaign that doesn’t fit a standard channel.

Channel ->  Other Campaign
Segment 1 (utm_source) -> the source of the campaign: acme.co, productdomain.com
Segment 2 (utm_campaign) -> the campaign name: summer_sale_2025, launch_email
Segment 3 (utm_term) -> the focus, key message, or targeting: 25_off_all_prods, free_trial
Segment 4 (utm_content) -> the creative, link or variation: pop_up_offer

🔔 Push

When a visitor arrives from a web or mobile push notification.

Channel ->  Push
Segment 1 (utm_source) -> the service used to deliver the push notification: onesignal, firebase
Segment 2 (utm_campaign) -> the campaign name: feature_release
Segment 3 (utm_term) -> the audience or trigger used: active_users
Segment 4 (utm_content) -> the creative, link or variation: title_a, emoji_version


📲 SMS
When a visitor arrives from a web or mobile push notification.

Channel ->  SMS
Segment 1 (utm_source) -> the source of the text message: twilio, sms_tool
Segment 2 (utm_campaign) -> the campaign name: promo_text_jan
Segment 3 (utm_term) -> the audience or targeting: vip_customers
Segment 4 (utm_content) -> the creative, specific offer, variation: discount_code, limited_offer

Non-Campaign-Driven Channels

🔍 Organic Search
When a visitor finds your site through a search engine result.

Channel ->  Organic Search
Segment 1 (utm_source) -> the platform name: google, bing
Segment 2 (utm_campaign) -> the search engine domain: google.com, bing.co.uk
Segment 3 (utm_term) -> the specific keyword or search criteria (if passed): best running shoes, top laptops
Segment 4 (utm_content) -> n/a


🛍️ Organic Shopping

When a visitor arrives from an unpaid social media post or share.

Channel ->  Organic Shopping
Segment 1 (utm_source) -> the shopping platform name: amazon, shopify, ebay
Segment 2 (utm_campaign) -> the shopping platform domain: amazon.co.uk, apps.shopify.com, ebay.com
Segment 3 (utm_term) -> n/a
Segment 4 (utm_content) -> n/a


💬 Organic Social

When a visitor arrives from an unpaid social media post or share.

Channel ->  Organic Social
Segment 1 (utm_source) -> the platform name: facebook, linkedin, bluesky
Segment 2 (utm_campaign) -> the social domain: facebook.com, linkedin.com
Segment 3 (utm_term) -> n/a
Segment 4 (utm_content) -> n/a


📺 Organic Video

When a visitor arrives from an unpaid social media post or share.

Channel ->  Organic Video
Segment 1 (utm_source) -> the platform name: youtube, vimeo
Segment 2 (utm_campaign) -> the video platform domain: youtube.com, vimeo.com
Segment 3 (utm_term) -> n/a
Segment 4 (utm_content) -> n/a


🌍 Referral

When a visitor arrives from a link on another website.

Channel ->  Referral
Segment 1 (utm_source) -> the referring sites' name: Marksmedia
Segment 2 (utm_campaign) -> the referring domain: marksmedia.co.uk
Segment 3 (utm_term) -> the complete referring url: Marksmedia.co.uk/articles/top-marketing-attribution-software
Segment 4 (utm_content) -> n/a


🚗 Direct Traffic

When a visitor arrives without a detectable referring source.

Channel ->  Referral
Segment 1 (utm_source) -> n/a
Segment 2 (utm_campaign) -> n/a
Segment 3 (utm_term) -> n/a
Segment 4 (utm_content) -> n/a

Identifying High-Performing Pages


Madlitics captures the landing page a visitor first sees — giving you insight into which content is attracting attention and driving conversions. This helps marketers identify the topics, formats, or offers that are working hardest.

🛬 Landing Page
The URL of the first page a visitor arrived on before submitting the form — even if they explored other pages or returned later.
lp ->  acme.com/articles/website-performance-tips

🛬 Landing Page Group
A categorized version of the landing page that groups similar pages together for cleaner reporting.
lpg ->  /articles/

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.

Related articles to get you started with Madlitics

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.
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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.