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What Is Attribution In Google Ads? – Explained

What Is Attribution In Google Ads? - Explained
Contents

Attribution in Google Ads is a crucial concept for marketers and business owners to understand.

It’s the process of determining which touchpoints in a customer’s journey contribute to conversions.

Learn how to optimize your ad spend and improve your marketing strategies.

Understanding the Concept of Attribution

Definition of Attribution in Google Ads

Attribution in Google Ads refers to how credit is assigned to various interactions a user has with your ads before converting.

Imagine a customer’s journey: they might see your ad on a search page, later click on a display ad, and finally convert after clicking on a remarketing ad.

Attribution helps you understand which of these touchpoints played the most significant role in securing that conversion.

For example, let’s say you’re running a campaign for your new line of eco-friendly water bottles. 

A potential customer might first see your ad while searching for “sustainable drinkware,” then encounter a display ad on their favorite blog, and finally make a purchase after seeing a remarketing ad on social media. 

Attribution allows you to see how each of these interactions contributed to the final sale.

The Importance of Attribution in Digital Marketing

Understanding attribution is like having a roadmap of your customer’s journey. It helps you:

  1. Allocate your budget more effectively
  2. Identify which channels are driving the most conversions
  3. Refine your messaging across different touchpoints
  4. Improve the overall customer experience


By leveraging attribution data, you can make informed decisions about where to invest your marketing dollars and how to craft your messaging at each stage of the customer journey.

Different Models of Attribution in Google Ads

Google Ads offers several attribution models, each with its own approach to assigning credit. Let’s break them down:

Last Click Attribution

This model gives all the credit to the last ad clicked before conversion. It’s simple but can overlook the impact of earlier touchpoints.

Example: A customer clicks on your ads for “best running shoes” three times over a week, but only makes a purchase after clicking on a retargeting ad. Last click attribution would give all the credit to that final retargeting ad.

First Click Attribution

This model attributes all the credit to the first ad clicked in the customer journey. It emphasizes the importance of initial awareness.

Example: Using the same running shoes scenario, first click attribution would give all the credit to the very first ad the customer clicked, even if they interacted with several other ads before purchasing.

Linear Attribution

This model distributes credit equally across all touchpoints in the conversion path. It recognizes that each interaction plays a role in the final decision.

Example: If a customer interacts with five of your ads before converting, each ad would receive 20% of the credit for the conversion.

Time-Decay Attribution

This model gives more credit to touchpoints closer to the conversion. It assumes that recent interactions have a stronger influence on the decision to convert.

Example: In a customer journey spanning two weeks, ads clicked in the last few days before conversion would receive more credit than those clicked at the beginning of the two-week period.

Position-Based Attribution

Also known as U-shaped attribution, this model gives 40% credit each to the first and last touchpoints, with the remaining 20% distributed among the middle touchpoints.

Example: In a journey with five touchpoints, the first and last would each get 40% credit, while the three middle touchpoints would each receive about 6.67% credit.

How to Set Up Attribution in Google Ads

Setting up attribution in Google Ads is straightforward. Follow these steps:

Step-by-Step Guide to Setting Up Attribution

  1. Log into your Google Ads account
  2. Click on “Tools & Settings” in the top right corner
  3. Under “Measurement,” select “Attribution”
  4. Choose your preferred attribution model
  5. Click “Apply” to save your settings

Common Mistakes to Avoid When Setting Up Attribution

  • Don’t change models too frequently. Give each model time to gather meaningful data.
  • Avoid relying solely on one model. Use multiple models to gain a comprehensive view.
  • Don’t ignore pre-click data like impressions. They provide valuable context for the customer journey.

Analyzing and Interpreting Attribution Data

Once you’ve set up attribution, it’s time to put that data to work.

Understanding the Attribution Reports

Google Ads provides detailed reports showing how different touchpoints contribute to conversions. These reports can reveal:

  • Which channels are most effective at different stages of the funnel
  • How customers typically interact with your ads before converting
  • The average time from first interaction to conversion

Making Data-Driven Decisions Based on Attribution

Use your attribution data to:

  1. Adjust your budget allocation across channels
  2. Refine your ad copy and creatives for different stages of the customer journey
  3. Identify underperforming touchpoints and optimize or eliminate them
  4. Develop more effective remarketing strategies


By leveraging attribution in Google Ads, you can gain a deeper understanding of your customer’s journey and make informed decisions to improve your marketing effectiveness. 

Remember, attribution is not just about assigning credit—it’s about understanding your customers and creating a more seamless, effective path to conversion.

In conclusion, mastering attribution in Google Ads is key to unlocking the full potential of your digital marketing efforts. 

By choosing the right attribution model, setting it up correctly, and using the data to inform your strategies, you can optimize your campaigns for better performance and higher ROI.

Picture of Walter Voronovic

Walter Voronovic

Founder @ WalterVoronovic.com. I've worked as a performance marketer since 2019. Today, I write about SaaS marketing & design and test & review marketing tools.
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