What Is Link Attribution (and Why Marketers Keep Getting It Wrong)

The click isn't the answer

Someone clicks your link. Great. You know they clicked. But what happened next?

Did they browse three pages and leave? Did they fill out a demo request form? Did they come back a week later through a Google search and buy? Most marketing teams can tell you the first part. Almost none can tell you the rest.

That gap between "they clicked" and "here's what it was worth" is what link attribution solves.

Attribution, defined simply

Link attribution is the process of connecting a marketing touchpoint (a click on a tagged link) to a business outcome (a form submission, a purchase, a sign-up).

It sounds obvious. It's not.

The click happens on one platform. The conversion happens on another. The visitor might use two different devices. Days or weeks might pass between the click and the purchase. Your ad platform says one thing, GA4 says another, and your CRM says a third.

Attribution is the discipline of tying those pieces together so you know which marketing activities actually drove revenue. Not which ones drove clicks. Clicks are cheap. Revenue is what pays for the next campaign.

Why most teams get it wrong

They stop at click data. Bitly tells you 2,000 people clicked. But how many of those 2,000 converted? If you can't answer that, clicks are a vanity metric. You need the full path: click, session, page engagement, conversion.

They trust platform self-reporting. Google Ads says it drove 50 conversions. Meta says it drove 45. LinkedIn says 30. Add those up and you get 125. But your actual conversions were 70. Every platform over-counts because they each claim credit for the same users. Your own first-party attribution data is the tiebreaker.

They use last-click only. GA4 defaults to last-click attribution. The final touchpoint before conversion gets 100% of the credit. But what about the LinkedIn ad the visitor saw first? The email that brought them back? Last-click ignores everything except the final step. It's easy to implement but it consistently undervalues top-of-funnel marketing.

They don't connect link data to CRM data. The marketing team tracks UTMs. The sales team tracks deals. Nobody connects the two. So when the CEO asks "which campaign drove the most revenue last quarter," everyone shrugs and pulls different numbers from different tools.

What good attribution looks like

The full chain:

1. Click. A visitor clicks a UTM-tagged short link from a LinkedIn ad.
2. Session. They land on your site. The tracking snippet captures the session: pages viewed, time on site, scroll depth.
3. Engagement. They read the pricing page, download a PDF, watch a video.
4. Conversion. They fill out a demo request form. The form submission captures the UTM parameters that brought them.
5. Revenue. The deal closes in your CRM. The original UTM source (LinkedIn, cpc) is attached to the revenue.

Each step feeds the next. No gaps. When your CEO asks "what drove Q2 revenue?" you can answer with a source, a campaign name, and a dollar figure.

First-touch vs last-touch vs multi-touch

First-touch gives all credit to the first interaction. Good for measuring awareness campaigns.

Last-touch gives all credit to the final interaction before conversion. Good for measuring bottom-of-funnel performance.

Multi-touch distributes credit across all touchpoints in the journey. More accurate but more complex. Linear models split evenly. Time-decay models weight recent touches higher. Position-based models give 40% to first touch, 40% to last touch, 20% spread across the middle.

No model is perfect. The best approach is to look at multiple models and understand what each one tells you. First-touch answers "what fills the top of the funnel?" Last-touch answers "what closes deals?" Multi-touch answers "what's the full picture?"

How to start

You don't need a $50K attribution platform to get basic attribution working.

1. Tag every external link with UTMs. Source, medium, campaign at minimum. Use a UTM builder or save templates in Attri.
2. Track sessions, not just clicks. A click counter tells you volume. Session tracking tells you quality.
3. Capture UTMs on form submissions. When someone fills out a form, store the UTM parameters alongside the submission. This is the bridge between marketing data and sales data.
4. Connect to revenue. Even a simple spreadsheet mapping campaign names to closed deals is better than nothing. Better yet, pull revenue data from Stripe or your CRM and match by UTM source.

Attribution isn't all-or-nothing. Start with first-touch click-to-form attribution. That alone puts you ahead of most teams.