What is first click attribution?

Table of contents

Definition of first click attribution
An example of first click attribution
How does first click attribution work?
First-click attribution vs other models
Expert opinions and perspectives
Questions to ask yourself
Other articles you might like
Additional reading
About Growth Method
Frequently asked questions

First-click attribution is tidy in theory and broken in practice. It assumes a buyer discovers you once, on one device, and walks in a straight line from that first touch to a purchase. Real journeys don’t work like that. People research on a phone, return on a laptop, click through from an email weeks later, and clear their cookies in between. In a world of device fragmentation, the “first” click you actually record is rarely the real first touch, which makes first-click a shaky foundation for any budget decision. It is best treated as a rough read on what creates awareness, not a verdict on what drives growth. For the fuller picture, see our marketing attribution models.

Definition of first click attribution

First click attribution is a model used in marketing to identify and give credit to the first interaction a customer has with a brand. This model is based on the belief that the initial point of contact is the most influential in driving a customer towards a purchase or conversion. It’s like giving a gold medal to the first advertisement or marketing effort that sparked a customer’s interest in your product or service.

For marketers, first click attribution is a valuable tool for understanding which marketing channels are most effective at attracting new customers. It helps them to allocate their resources and efforts more efficiently. However, it’s important to remember that this model doesn’t consider any other interactions a customer may have with the brand before making a purchase. So, while it’s useful, it’s just one piece of the puzzle in understanding customer behaviour.

An example of first click attribution

Here is an example of how it works:

Growth Method, a SaaS company, launches a new email marketing campaign to promote its latest software update. John, a potential customer, clicks on the link in the email, which takes him to the company’s website. He browses the site, reads about the software update, but doesn’t make a purchase. A week later, John sees a social media ad for Growth Method, clicks on it, and this time, he decides to purchase the software update. In this scenario, the first click attribution model would credit the email marketing campaign for the sale, as it was the first touchpoint that led John to the website.

How does first click attribution work?

First click attribution works by assigning the entire credit for a sale or conversion to the first interaction a customer had with the brand. This model is based on the belief that the initial marketing channel which attracted the customer has done the most significant part of the work. For marketers, this means that the first ad or piece of content a customer clicked on is considered the most important in their journey towards making a purchase. This model helps marketers understand which channels are most effective at driving customer awareness and engagement.

Worth knowing if you’re setting this up today: Google retired first-click, along with linear, time-decay and position-based models, as selectable defaults in Google Ads and GA4 in 2023, replacing them with data-driven attribution. First-click is still available as a comparison lens inside GA4’s Model Comparison report, just no longer a model you can set and forget.

First-click attribution vs other models

First-click is one of several ways to distribute conversion credit across a customer’s journey. Here’s how it compares:

Model	How credit is assigned	Best suited for	Watch out for
First-click	100% of the credit to the first touchpoint in the journey	Understanding which channels create awareness and spark demand	Ignores every touchpoint after the first, including the one that closed the sale
Last-click	100% of the credit to the final touchpoint before conversion	Short, transactional funnels with few touchpoints	Ignores all the upper-funnel activity that built demand
Linear	Equal credit across every touchpoint	Teams wanting a simple, unbiased baseline	Treats a passing glance and a decisive visit as equally important
Time decay	More credit to touchpoints closer to conversion, less to earlier ones	Longer B2B cycles where momentum builds late	Can underrate the early discovery work that started the journey
U-shaped (position-based)	40% to first touch, 40% to last touch, 20% split across the middle	Businesses that value both discovery and conversion moments	Still assigns fixed weights rather than reflecting what actually influenced the outcome
Data-driven	Credit weighted algorithmically based on actual conversion patterns	Teams with enough volume and data to train a model	Needs a meaningful amount of conversion data to be reliable, and the weighting is a black box

Expert opinions and perspectives

Here are how some of the world’s best marketing and growth professionals, and companies, think about first click attribution.

“First click attribution is akin to giving my first girlfriend 100% of the credit for me marrying my wife.” - Avinash Kaushik, Occam’s Razor
“‘First Interaction’ assigns 100 percent of the purchase to the first source that brought the user to the website… First Interaction is helpful in brand awareness.” - Practical Ecommerce

Questions to ask yourself

As a modern growth marketing or agile marketing professional, ask yourself the following questions with regard to first click attribution:

Is the first click attribution model the most suitable for my marketing strategy?
What insights can I gain about my audience’s behaviour from first click attribution?
How can I use first click attribution to optimise my marketing campaigns?
What are the potential drawbacks of relying solely on first click attribution?
How can I effectively combine first click attribution with other attribution models to achieve my growth marketing goals?

Additional reading

Here are some related articles and further reading around first click attribution that you may find helpful.

About Growth Method

First-click attribution gives all the credit to whatever created the spark, and none to the work that turned it into a customer. Growth Method takes the opposite view. It is the agentic marketing platform for B2B teams: plan a campaign against your real goal, launch it with baselines already recorded, and let AI agents read your live GA4, PostHog and Search Console data to tell you what actually drove the outcome, not just which channel got there first.

Get started to turn your next attribution insight into a tracked campaign, not a one-off report.

Frequently asked questions

What is first click attribution?

First click attribution is a single-touch model that gives 100% of the conversion credit to the first interaction a customer has with your brand, on the theory that whatever sparked their initial interest deserves the credit for the sale that eventually followed.

When should I use first-click attribution?

Use it when you want to understand which channels create initial awareness and spark demand, such as evaluating top-of-funnel activity like display ads, paid social discovery or organic search. It is a weaker fit once you need to credit the touchpoints that actually close the sale.

What are the main drawbacks of first-click attribution?

First-click assigns all the credit to one touchpoint and ignores everything else in the journey, including the interaction that actually converted the customer. Device fragmentation makes this worse, since the “first” click your analytics tool records is rarely the buyer’s true first touch.

How is first-click attribution different from last-click attribution?

First-click credits the touchpoint that started the customer journey, while last-click credits the touchpoint immediately before conversion. Both are single-touch models that ignore everything in between, they just disagree about which end of the funnel deserves the credit.