How is Google Trends data normalized?
Posted: Sun Feb 09, 2025 6:25 am
Google Trends normalizes search data to make it easier to compare terms. Search results are normalized to the time and location of the query through the following process:
Each data point is divided by the total search volume for the geographic and time range it represents to compare relative popularity. Otherwise, the place with the most search volume will always rank highest.
The resulting number is then scaled on a scale of 0 to 100 azerbaijan mobile database based on the proportion of all searches on all topics that a topic accounts for.
Different regions showing the same search interest for a term don’t always have the same total search volume.
What searches are included in Google Trends?
Google Trends data reflects the searches people perform on Google every day, but it can also reflect irregular search activity, such as automated searches or queries that may be related to attempts to spam our search results.
While we have mechanisms to detect and filter irregular activity, these searches may remain in Google Trends as a safety measure: filtering them from Google Trends will help people who issue such queries know that we have identified them. This would make it difficult to filter such activity out of other Google Search products that are critical for high-fidelity search data. Given this, those who rely on Google Trends data should understand that it is not a perfect reflection of search activity.
Each data point is divided by the total search volume for the geographic and time range it represents to compare relative popularity. Otherwise, the place with the most search volume will always rank highest.
The resulting number is then scaled on a scale of 0 to 100 azerbaijan mobile database based on the proportion of all searches on all topics that a topic accounts for.
Different regions showing the same search interest for a term don’t always have the same total search volume.
What searches are included in Google Trends?
Google Trends data reflects the searches people perform on Google every day, but it can also reflect irregular search activity, such as automated searches or queries that may be related to attempts to spam our search results.
While we have mechanisms to detect and filter irregular activity, these searches may remain in Google Trends as a safety measure: filtering them from Google Trends will help people who issue such queries know that we have identified them. This would make it difficult to filter such activity out of other Google Search products that are critical for high-fidelity search data. Given this, those who rely on Google Trends data should understand that it is not a perfect reflection of search activity.