May simplify the role of intermediate steps if they were critical to decision making.

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A good balance between recognizing the importance of the early and late stages of the customer journey.
Provides more accurate attribution distribution.
Flaws:
6. Complex Attribution Model
Complex attribution models, such as those using machine learning jordan phone number list algorithms, can take into account many factors: brand interactions, user behavior on the site, time between interactions, and other parameters. These models provide a more accurate and personalized approach, but require more computing power and detailed customization.
Advantages:
High precision.
The ability to take into account various nuances of customer behavior.
Flaws:
Require significant resources for implementation.
The need for large amounts of data.
attribution model
How to choose an attribution model?
The choice of attribution model depends on several factors, such as:
Business goals: If your goal is to acquire new users, you may want to consider First Click or Linear models. However, if you want to increase conversions and improve sales closing, you may want to consider models that focus more on the last touchpoints, such as Last Click.