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Attribution Model

An attribution model is a rule or set of rules that determines which marketing channel or touchpoint gets credit for a conversion (e.g., a purchase or registration).

Simply put, it answers the question:
which channel “deserves” the result?

Why do you need an attribution model?

Users rarely make a purchase after a single interaction. Typically, the path looks like this:

  • sees an ad →
  • clicks through to the website →
  • reads an article →
  • returns via search →
  • completes the purchase

An attribution model helps you understand which of these steps contributed to the conversion.

Main Attribution Models

  1. Last Click
    All credit is assigned to the last source the user came through before conversion.
    The simplest and most common model.
  2. First Click
    All credit goes to the user’s first interaction.
    Useful for evaluating acquisition channels.
  3. Linear Model
    Credit is evenly distributed among all touchpoints.
  4. Time Decay
    Interactions closer in time to the conversion receive more credit.
  5. U-shaped (Positional)
    The main credit goes to:
  • the first contact;
  • the last contact;
  • the remaining touchpoints receive a smaller share.
  1. Data-Driven
    Uses algorithms and machine learning to determine the actual contribution of each channel.
    The most accurate, but requires a sufficient amount of data.

Example

User journey:

  • Facebook →
  • Google search →
  • Email →
  • Purchase

Depending on the model:

  • Last Click → all credit to Email
  • First Click → all credit to Facebook
  • Linear → credit is divided equally among all channels

Why use different models?

Analyzing different models helps to:

  • understand each channel’s contribution;
  • optimize the marketing budget;
  • improve your promotion strategy;
  • avoid skewed analytics.

Key takeaway

An attribution model is a way to distribute conversion credit among marketing channels.
The choice of model influences how you evaluate advertising performance and make budget allocation decisions.

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