Marketing Attribution Models

Marketing attribution models are frameworks used to understand the role each touchpoint in a customer’s journey plays in influencing their decision to convert or make a purchase. In the context of SEO, these models are crucial as they help allocate credit to various organic search efforts and content assets, determining which SEO strategies contribute most significantly to conversion goals.


In SEO, attribution models assist in recognizing the value of keywords, landing pages, and SERP features that lead users toward conversion actions. SEO practitioners use these models to allocate budgets and resources more effectively, enhancing strategies around content creation, link building, and keyword optimization.

Types of attributions:

  1. Last Click: Attributes all credit for a conversion to the last touchpoint, typically undervaluing the cumulative effect of SEO efforts leading up to the final click.
  2. First Click: Gives all conversion credit to the first touchpoint, recognizing the importance of initial discovery through organic search but potentially overlooking subsequent interactions.
  3. Linear: Distributes credit evenly across all touchpoints, providing a balanced view that appreciates the entire SEO journey equally.
  4. Time Decay: Assigns more credit to touchpoints closer to the time of conversion, reflecting an increasing influence of SEO activities as the user progresses towards a decision.
  5. Position-Based: Credits both the first and last touchpoints more heavily than the middle interactions, acknowledging the value of discovery and decision-making stages within SEO.


To implement Marketing Attribution Models effectively within SEO, practitioners should integrate analytics tools capable of tracking multiple touchpoints and conversions. Utilize UTM parameters to tag URLs for granular tracking. Continuously analyze data to refine SEO strategies, focusing on high-impact areas indicated by your chosen attribution model.


Selecting the right attribution model depends on business goals, customer journey complexity, and available data analytics capabilities. SEO experts must remain aware of the limitations of each model and continuously test and adapt to ensure the most accurate representation of SEO value is being recorded. SEO strategies should evolve in response to attribution findings to maximize return on investment (ROI).

Best practices:

As we delve into the nuances of marketing attribution, here are some best practices that ensure your attribution models keep pace with dynamic market trends, providing clarity on the contributions of SEO to your overall business success:

  • Regularly review and adjust attribution models to align with changing market trends and business objectives.
  • Correlate SEO performance with conversion data to determine the true impact of organic search efforts.
  • Combine qualitative customer journey analysis with quantitative attribution data for a more comprehensive SEO strategy.
  • Educate stakeholders about the chosen attribution model’s influence on perceived SEO performance to reconcile expectations with strategy.


How can SEO practitioners benefit from utilizing Marketing Attribution Models?

By using Marketing Attribution Models, SEO experts can identify the key organic search efforts and content assets that contribute most significantly to conversion goals, enabling them to refine and prioritize their SEO strategies effectively.

What are some best practices for implementing Marketing Attribution Models in SEO?

Best practices include regularly reviewing and adjusting attribution models, correlating SEO performance with conversion data, combining qualitative and quantitative analysis for a comprehensive strategy, and educating stakeholders on the influence of attribution models on SEO performance.

What is the purpose of Marketing Attribution Models in SEO?

Marketing Attribution Models help SEO practitioners understand the impact of different touchpoints on a customers journey, allowing for more informed allocation of resources and optimization of strategies.

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