What drove your most recent customer to buy from your store? Chances are, it wasn’t a single ad, blog post, or email, but a series of brand touchpoints across multiple marketing channels.
This complexity has made marketing attribution (the process of identifying which marketing efforts drive a purchase) one of the most challenging tasks for marketing teams today. One of multiple marketing attribution models, first-touch attribution answers the deceptively simple question: What first brought a customer to your brand?
When you determine which marketing channels brought in customers, you can make more informed decisions about how to allocate your marketing dollars. From there, you can further refine and test your marketing strategy to increase your bottom line.
This guide will cover how first-touch attribution works, how it compares to other attribution models, and how you can apply it to grow your ecommerce business. PR expert Lauren Kleinman and the team behind the innovative electric toothbrush brand SURI also share how attribution validates brand-building, customer acquisition, and long-term marketing success.
What is first-touch attribution?
First-touch attribution is a marketing measurement model that assigns all the credit for a sale to the first touchpoint a customer encounters. In other words, you give credit to the channel that first introduced a new customer to your brand. If, for example, a customer discovers your brand via a social media ad but ultimately makes a purchase via a marketing email, credit for the final conversion goes to the social media ad.
This type of attribution considers the earliest exposure to be the most important moment in the consumer journey, especially in a brand’s early stages of awareness-building and brand recognition. The assumption is that an initial interaction, such as the first website visit, ad click, or search engine touchpoint, did the heavy lifting by creating initial interest, setting the entire buyer’s journey in motion.
Because first-touch marketing attribution assigns 100% of the conversion credit to the initial touchpoint without taking into account subsequent digital touchpoints, it is considered a single-touch model (in contrast to multitouch models, which distribute credit across multiple touchpoints).
Tools and technologies that support first-touch attribution
Most analytics platforms today support some form of attribution modeling, including first-touch attribution. Key tools include:
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Google Analytics (GA4). GA4 allows marketers to analyze user interactions rather than just session-level data.
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Ecommerce platforms. Platforms like Shopify and customer relationship management (CRM) systems rely on cookies and marketing analytics to track attribution.
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Email marketing services. Email and life cycle tools like Klaviyo offer both first-touch and last-touch views.
It’s important to note that attribution tools like these are limited to digital touchpoints. Even with online purchases, there are offline touchpoints along the buyer journey, such as word-of-mouth interactions, in-store visits, or billboard views, which these tools can’t track. Phone calls and PR mentions may also require supplemental tracking to capture that valuable data.
How does first-touch attribution work?
Marketing analytics tools track first-touch attribution by assigning cookies and UTM parameters to the user's first visit, typically limited to the same device (smartphone, tablet, laptop, etc.).
That first interaction could be:
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Engaging with a social media post
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Visiting your site after reading a PR article
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Discovering a blog post or educational resource on your site via organic search
Once the marketing analytics tool identifies the initial contact, it assigns full credit to that touchpoint for any conversion, even if the purchase happens later through a different channel. Because attribution data reveals only part of the buyer’s journey, many brands supplement it with qualitative insights.
Mark Rushmore, co-founder of the toothbrush brand SURI, emphasizes asking customers directly where they heard about the brand. “We’ll ask in post-checkout surveys how people found us,” he explains. “This is important information from an attribution perspective.”
By combining first-touch attribution data with surveys, SURI gains valuable insights into which marketing touchpoints actually sparked initial interest. This approach helps connect user journey data with real human behavior, especially when offline touchpoints or brand initiatives are involved.
First-touch vs. other attribution models
No single attribution model tells the full story; using more than one attribution model can provide deeper insights and a full picture. However, applying multiple attribution models can also require more marketing resources and more complex data collection. It’s therefore crucial to choose the most useful model for every marketing campaign. To decide when first-touch attribution is useful for your business, it helps to understand how it compares to other attribution models:
Last-touch attribution
Whereas first-touch attribution assigns credit to the first interaction before conversion, the last-touch attribution model gives full credit to the final interaction before conversion. Last-touch attribution is particularly helpful when you have customers making frequent, small purchases and when returning customers are a big part of your customer mix. These people are already aware of your brand, so knowing which touchpoint convinced them to buy from you again can help you to target that customer segment more effectively in future campaigns.
For example, if a customer initially interacted with a social media post but eventually converted through a paid ad, credit would go to the ad. This approach is useful for optimizing short-term activation, such as high-impact marketing campaigns capable of producing short-term sales spikes. However, it often ignores the brand initiatives that created demand in the first place by building brand and product awareness over longer periods of time.
Last non-direct touch attribution, a variation of last-touch attribution, gives full credit to the final interaction that involved a referral from a source other than the website itself. It can be useful if you want to filter out direct traffic (users who type in your site’s URL or have it bookmarked) so you can focus on better targeting consumers who are still in the decision stage.
For example, say a customer first discovers your brand through a paid social ad, later returns to your website via an email campaign, and then finally converts by typing your URL directly into their browser. Last non-direct touch attribution would assign full credit to the email campaign.
Multitouch attribution
Multitouch attribution distributes credit across multiple touchpoints in the customer journey, not just the first or last touchpoint. If a customer first sees an online ad for a product, later searches the brand on Google, and then makes a $60 purchase after clicking through from a marketing email, a multitouch attribution model splits the purchase credit into three distinct attributions of varying amounts, depending on which form you are using.
Multitouch attribution comes in three different forms:
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Linear attribution. This model attributes credit equally across the multiple touchpoints between the first interaction and conversion.
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Position-based attribution. Also known as the U-shaped attribution model, this approach typically assigns 40% of the credit to both the first and last touch, with the remaining 20% allocated across other interactions.
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Data-driven multitouch attribution. This model uses machine learning to infer which interactions made the greatest impact on a user’s conversion and assigns credit accordingly.
It can be a good idea to apply multitouch attribution when you anticipate most consumers will engage with more than one channel before making a purchase, such as with marketing campaigns that are especially long or complicated. In other words, this attribution model can better reflect the customer’s journey when the path to purchase is not so direct.
When should you use first-touch attribution?
First-touch attribution is especially useful in the following scenarios:
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Long buying cycles. If your product typically involves a long decision-making period, such as with cars, furniture, or appliances, the initial interaction matters more than the last click.
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Low repeat purchase rates. When customers don’t buy frequently, understanding what first got them to the site can provide valuable insights into customer acquisition.
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Net-new customer growth. If your focus is on acquiring a new target audience, first-touch attribution helps identify which marketing campaigns are driving new demand rather than simply re-engaging existing customers.
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Brand-led marketing strategies. For brands investing heavily in public relations, influencer marketing, or educational content, first-touch attribution assumes that brand exposure is the primary driver of overall marketing success.
On an episode of the Shopify Masters podcast, Lauren Kleinman, founder of PR agency Dreamday, highlights the value of first-touch attribution when discussing public relations and brand development. She uses one of her clients, the olive oil brand Brightland, as an example. Through Dreamday’s efforts, Brightland scored a mention on Vogue magazine’s website.
“The consumer comes to the [Brightland] website and makes a purchase,” Lauren explains. “That attribution is tracked through ShareASale, let’s say. We can prove the value of our work very easily when we get that attribution.”
First-touch attribution FAQ
What is the difference between first-touch and last-touch attribution?
First-touch attribution gives all the credit for a conversion to the first touchpoint, while last-touch attribution assigns the entire conversion credit to the final interaction prior to conversion. Each highlights a different stage of the customer journey.
What is first attribution?
First attribution identifies the initial interaction that introduced a customer to your brand.
What is first-touch analysis?
First-touch analysis examines first-touch attribution data to understand which marketing channels, search ads, or content pieces drive initial engagement and customer acquisition.
