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Which of the following attribution models uses machine learning to evaluate individual customer paths?

Last Updated on 4 years ago by School4Seo Team

“Data-driven” attribution models uses machine learning to evaluate individual customer paths.

  • Last interaction
  • Linear
  • Time decay
  • Data-driven

Correct answer is: Data-driven

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Data-driven attribution (DDA) is the most advanced model in Google’s attribution products. A data-driven model algorithmically evaluates individual customer paths. Credit is then dynamically attributed to each touchpoint according to its impact on the conversion.

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Nitin Batra. (2022). Which of the following attribution models uses machine learning to evaluate individual customer paths?. School4Seo. https://school4seo.com/measurement-certification/which-of-the-following-attribution-models-uses-machine-learning-to-evaluate-individual-customer-paths/
Nitin Batra. “Which of the following attribution models uses machine learning to evaluate individual customer paths?.” School4Seo, March 17, 2022, https://school4seo.com/measurement-certification/which-of-the-following-attribution-models-uses-machine-learning-to-evaluate-individual-customer-paths/.
Nitin Batra. “Which of the following attribution models uses machine learning to evaluate individual customer paths?.” School4Seo. March 17, 2022. https://school4seo.com/measurement-certification/which-of-the-following-attribution-models-uses-machine-learning-to-evaluate-individual-customer-paths/.
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