You can’t rely on UTMs: Smarter ways to track buyer intent across channels

Illustration of line graphs with smiling face icons representing engagement peaks across different data points, symbolizing tracking buyer intent signals across multiple channels.
Illustration of line graphs with smiling face icons representing engagement peaks across different data points, symbolizing tracking buyer intent signals across multiple channels.
Illustration of line graphs with smiling face icons representing engagement peaks across different data points, symbolizing tracking buyer intent signals across multiple channels.
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UTM parameters are a standard tool in digital marketing. They help track traffic sources, measure campaign performance, and understand how visitors land on your site. But when it comes to tracking real buyer intent across channels, UTMs fall short.


Why? Because buyer journeys in B2B are rarely straightforward. The path from awareness to purchase involves multiple touchpoints, anonymous research, and team-wide decision-making that is not captured by traditional attribution tools. Someone might read your blog, forward a whitepaper, or search your brand name on Google. If they do not click a tagged link, none of this activity appears in your analytics.


If your strategy still relies heavily on UTMs to measure buyer intent, you are only seeing part of the picture. In this article, we break down the limitations of UTM tracking, explain where intent signals actually live, and offer smarter ways to detect high-intent behavior across your website, content, and channels.


Why UTMs are not enough


UTM parameters are helpful for tracking the source of inbound traffic, but they fall short when it comes to capturing actual intent. Here's why:


  • They are session-based, not journey-based. UTMs show where a user came from in a single session. They do not tell you how that person previously interacted with your brand or how they move through the funnel across time.

  • They miss dark funnel activity. Buyers often interact with your brand through shared PDFs, direct Slack links, word-of-mouth, or private communities. These touchpoints are completely invisible to UTM tracking.

  • They only track known visitors. If a visitor does not convert or has cookies disabled, UTMs cannot associate behavior with future activity or company-level interest.

  • They depend on perfect tagging. One missing UTM tag or an untagged link can break the trail entirely, leaving gaps in your attribution and limiting your ability to draw conclusions.


In short, UTMs offer a narrow view. They track traffic sources but do not reflect the actual intent signals that matter in a modern B2B buying journey.


Smarter ways to track buyer intent across channels


To go beyond surface-level tracking, you need tools and strategies that capture the complete picture of account-level engagement. Here is what to focus on:

Use reverse IP and domain-level tracking


Reverse IP lookup tools like ClearCue, Clearbit, or 6sense help identify the companies behind anonymous website traffic. Instead of only tracking individual leads, you gain insight into which accounts are researching your product, even if no one fills out a form.

This gives you early visibility into potential buyers and helps you prioritize outreach to the right companies.

Connect engagement across your content ecosystem


B2B buyers engage across multiple touchpoints. One team member might read a blog post, while another clicks a newsletter link or views your LinkedIn page. These actions can seem unrelated unless you are tracking engagement across platforms and connecting the dots.

If three people from the same company interact with different content in a short window, that is not a coincidence. It signals a coordinated internal conversation or decision-making process.

Map engagement clusters


Not all engagement is created equal. One click from a junior marketer is different from a pattern of activity involving multiple people and content types.

Use AI-powered tools or behavior tracking platforms to surface clusters of engagement across your funnel. Look for patterns like:

  • repeated views of product or pricing pages;

  • engagement with both educational and comparison content;

  • increased traffic from specific accounts over a short period.

These clusters point to real buying signals that generic lead scoring often misses.

Analyze time-based movement


Intent is not just about what people do, but how quickly they do it. A company that moves from a blog post to a demo page in two days is more likely to buy than one that browses casually over weeks.

Track how quickly people from the same company progress through your funnel. Rapid engagement is often a stronger indicator than volume alone.

Score based on behavior, not attribution tags


Replace legacy lead scoring models based on UTMs and form fills with a system that reflects true buyer behavior. Consider scoring signals like:

  • time spent on high-intent pages such as pricing, case studies, or integrations;

  • scroll depth and repeat visits across content;

  • number of unique users from the same company engaging within a set time;

  • movement from top-of-funnel to product-focused assets.


Behavior-based scoring helps you prioritize accounts showing real interest, not just those who clicked the latest campaign link.

Read next: Why native analytics can’t show you true buyer intent (and what to do about it)

Common mistakes to avoid


B2B teams often run into trouble because they rely too heavily on outdated tracking models. Here are a few pitfalls to avoid:

  • Treating clicks as intent: Not all engagement is equal. A click on an ad is not the same as a visit to your pricing page followed by a product doc.

  • Tracking individual users only: B2B buying is a team sport. Make sure your tools allow you to view engagement at the company level.

  • Ignoring content depth: Pageviews alone are not helpful. Look at how people interact with the content. Are they skimming, scrolling, or returning?

  • Reacting too late: If you wait for a form fill to act, you are behind. Intent often shows up days or weeks earlier across less obvious signals.

Final thoughts


UTMs still have a role in campaign measurement, but they are not enough to track buyer intent in a complex B2B journey. Modern marketing requires visibility across channels, content types, and users (and the ability to connect these dots at the account level).

If you want to uncover real opportunities and act at the right time, you need more than traffic sources. You need a clear view of what buyers are doing, who they are, and how their intent builds over time.

ClearCue helps B2B teams move beyond clicks and form fills. With full-funnel visibility and cross-channel signal detection, you can track behavior that actually matters and take action based on real context.

Try ClearCue and see how intent-driven insights can unlock smarter, more effective marketing.


Written by:

Ralitsa Ivanova, Founder of ClearCue
Ralitsa Ivanova, Founder of ClearCue

Ralitsa Ivanova

Founder

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