Real ChatGPT answer · index seedQjePFCcUZWIcompleteMarketing and advertising · web analyticsinformational

Can you explain the differences between linear and time decay attribution models in modern web analytics so I can understand which one is best for my vintage poster website?

ChatGPTgpt-61 query11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
Can you explain the differences between linear and time decay attribution models in modern web analytics so I can understand which one is best for my vintage poster website?
1 real search · 1 real-search pass
linear vs time decay attribution model web analytics definitions GA4 attribution models data-driven comparisonGoogle ↗
OBSERVEDComparison

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

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Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
linear vs time decay attribution model web analytics definitions GA4 attribution models data-driven comparison Google ↗
  1. Attribution Components · experienceleague.adobe.com
  2. [UA] About the default MCF attribution models [Legacy] · support.google.com
  3. Get started with attribution · support.google.com
  4. Get started with attribution · support.google.com

Queries

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
linear vs time decay attribution model web analytics definitions GA4 attribution models data-driven comparison
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